Open Access Article
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Fermentation factors influencing the production of bacteriocins by lactic acid bacteria: a review

Sahar Abbasiliasia, Joo Shun Tanc, Tengku Azmi Tengku Ibrahimdg, Fatemeh Bashokouhd, Nagasundara Ramanan Ramakrishnane, Shuhaimi Mustafaab and Arbakariya B. Ariff*bf
aDepartment of Microbiology, Faculty of Biotechnology and Biomolecular Sciences, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia. E-mail: arbarif@upm.edu.my; Fax: +60 3 89467593; Tel: +60 3 89467591
bBioprocessing and Biomanufacturing Research Centre, Faculty of Biotechnology and Biomolecular Sciences, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia
cBioprocess Technology, School of Industrial Technology, Universiti Sains Malaysia, 11800 Penang, Malaysia
dPharmacology discipline, Faculty of medicine, UiTM, 47000 Sungai Buloh, Selangor Darul Ehsan, Malaysia
eSchool of Engineering, Advanced Engineering Platform, Monash University Malaysia, Jalan Lagoon Selatan, 47500 Bandar Sunway, Selangor, Malaysia
fDepartment of Bioprocess Technology, Faculty of Biotechnology and Biomolecular Sciences, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia
gDepartment of Veterinary Preclinical Sciences, Faculty of Veterinary Medicine, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia

Received 2nd October 2016 , Accepted 27th March 2017

First published on 6th June 2017


Abstract

Lactic acid bacteria (LAB) are of major interest in the food industry primarily by virtue of their biopreservative properties. LAB have ability to produce various types of antimicrobial compounds, the most important being bacteriocins. Bacteriocins and bacteriocin-producing cultures have the potential to increase the shelf-life of foods and contribute towards decreasing the incidence of food-borne diseases. In this respect, food preservation through in situ production of bacteriocins by LAB introduced into the food system would be the most logical approach. However, there is a need to understand the relationship between bacterial growth and bacteriocin production in various types of food system. Bacteriocin production by LAB is dependent on a number of factors such as the types of carbon and nitrogen sources and their concentrations in the media formulation. Other factors which need to be considered are the culture conditions which include pH, temperature and aeration which greatly influence the cultivation performance of bacteriocins producing LAB. Economic aspects pertaining to the optimization of fermentation process for the enhancement of bacteriocin production should also be given due considerations. Failure to acknowledge or recognize this hidden economic element would be a substantial financial loss to the industry especially from the point of view that the product is costly and highly sought after. Thus, the fermentation factors which influence the production of bacteriocins by LAB and the approaches to improve the production not only in term of yield and productivity but also in term of economic and regulation are reviewed in this paper.


Introduction

The demand for foods with minimum processing or foods without chemical preservatives is fast gaining momentum in view of increasing concerns on health.1 It is well known that various pathogenic and spoilage microorganisms, already present in foods could survive and multiply when there is minimal processing and/or in the absence of preservatives. In this respect natural biopreservatives such as bacteriocins which are non-detrimental to human health, have surfaced as an alternative to processing and the use of chemical preservatives in foods.

Bacteriocins are extracellularly released and ribosomally synthesized low molecule mass peptides or proteins with bactericidal or bacteriostatic mode of action, in particular against a wide range of mostly closely related Gram-positive bacteria and even against food-borne pathogens, but the producer cells are immune to their own bacteriocins.2 The use of bacteriocins or bacteriocins producing lactic acid bacteria (LAB) with a wide range of antimicrobial activity could improve safety, control the fermentation microflora, accelerated maturation and increase the shelf life of the products, inhibit the growth of certain pathogenic bacteria during the fermentation and ripening periods, which overall improve the safety aspects of these products.3,4

Bacteriocins are known to be produced by many Gram-positive and Gram-negative microorganisms. However bacteriocins produced by Gram-positive microorganisms such as LAB are preferred principally attributed to their preservative properties especially in the food industry. This preference is also partly due to their broader inhibitory spectrum compared to that of Gram negative microorganisms. Applications of bacteriocins in the food industry had markedly increased with increasing concern in the use of chemical preservatives (e.g. nitrites) which are detrimental to human health. Bacteriocins are also generally regarded as safe (GRAS) substances which could be used as food additives or natural preservatives.

The search for bacteriocins with the ability to inhibit the growth of bacterial pathogens such as L. monocytogenes is of particular interest in the food industry. LAB could inhibit the growth of the pathogens through the activity of bacteriocins synthesized by these microorganisms. Many strains of LAB have been referred to the European Food Safety Authority (EFSA) for safety assessment without raising any safety concerns. Consequently, they have been included in the QPS (Qualified Presumption of Safety) list authorized for use in the food and feed chain within the European Union. The same applies to the US, where they display the GRAS status assigned by the U.S. Food and Drug Administration (FDA).5 Thus the identification and characterization of bacteriocin-producing LAB has grown rapidly in the last decade.6 Bacteriocins had demonstrated remarkable diversity in their effects on numerous bacterial species. Bacteriocins produces by LAB are considered as safe natural biopreservatives in view of the fact that proteases in the gastrointestinal tract could easily degrade it,7 hence harmless to the human body and surrounding environment.8,9 From the point of view of the industry there is a need for an inexpensive, large scale bacteriocin production suitable for various food applications.10,11 Bacteriocin utilization as a preservative could be in two ways; (i) incorporation of bacteriocin-producing-starter culture, and the incorporation of bacteriocin extract or in the pure form. The latter would require an optimal and efficient fermentation which is heavily dependent on factors which are both specific and multiple for maximum production of bacteriocin12 with low cost and efficient extraction and purification methods. From the commercial standpoint, the priority will always be the production of the highest quality, at the lowest cost and in the shortest possible time.

Bacteriocin production by LAB usually follows primary metabolite growth-associated kinetics which occurs during the exponential growth phase and ceases once stationary phase is reached.13 This implies that bacteriocin production is dependent on the bacterial total biomass. However, a high cell yield does not necessarily results in a high bacteriocin activity since the latter may be limited by a low specific bacteriocin production, i.e. a low bacteriocin production per gram of cells.14 Thus there exist a rather complex relationship between environmental conditions and bacteriocin production.15 Relationship between bacteriocin production and growth also depend upon the strain used. In some cases a correlation exist between peptide and biomass production,16 while in other cases bacteriocin production only starts when stationary phase is reached.17 The yield per unit biomass is influenced by several factor which include the producing strain, medium composition (carbohydrate and nitrogen sources, cations, and etc.), fermentation conditions (pH, temperature, agitation and aeration) as well and mode of fermentation (batch, fed-batch and continuous fermentations).18 Unfavorable conditions referred to as stress factors are also known to markedly affect bacteriocin production.19

Optimization of fermentation conditions is a complex approach but critically essential for high performance bacteriocin production at commercial scale. In order to develop high performance fermentation process, a better understanding of the influencing factors that affect growth of bacteriocin-producing LAB and their ability to produce bacteriocin is essential. The influencing factors may be strain dependent and could vary with different types of bacteriocin. The effects of two important factors – medium compositions and cultivation conditions, which influence bacteriocin production during fermentation of various LAB strains20 are discussed in this review.

Effect of medium composition

Complex media

Abundant selection of complex media (CM) for the cultivation of LAB are available in today's market. These include the de man rogosa and sharpe (MRS), brain heart infusion (BHI), NaLa (sodium lactate), M17 and trypticase soy broth yeast extract (TSBYE).21 The complex basal media which are commonly used in the cultivation of LAB for bacteriocin production are summarized in Table 1. Most media are designed for specific strains, e.g. M17 for lactococci and MRS for lactobacilli. These media promote exuberant growth and enhance bacteriocin synthesis. However, the use of these media could be uneconomical for industrial application due to their high cost, specific preparation steps and long incubation time. Cost is primarily due to the expensive nitrogen sources such as beef extract, yeast extract and peptone.22 There are also unutilized proteins at the end of fermentation which could affect the efficiency of the subsequence downstream processing for bacteriocin extraction and purification.
Table 1 Complex media commonly used for cultivation of LAB and bacteriocin production
Culture media Producing strain Bacteriocin Remarks Reference
Diluted whey, concentrated whey, MRS P. acidilactici NRRL B-5627 and L. lactis subsp. lactis CECT539 Pediocin and nisin Nutrient sources were not adequate to increase production in diluted whey. Growth and productions in whey were significantly lower compared to MRS broth Guerra et al.64
MRS, TGE, BHI, Elliker, TSB, APT, tomato juice broth, M17 + lactose, M17 + glucose L. actococcus lactis subsp. lactis A164 Nisin-like bacteriocin Production was 4-fold higher in M17 supplemented with lactose compared to other carbon sources Cheigh et al.71
APT broth, Elliker broth, M 17 broth, MRS broth, M-MRS broth, M-MRS + 2% Glu broth E. faecium NKR-5-3 Enterocin M17 broth gave the highest cell density and production Wilaipun et al.139
MRS broth and LAPTg (peptone + tryptone + glucose + yeast extract + Tween 80) L. salivarius CRL 1328 Bacteriocin of L. salivarius subsp. salivarius CRL 1328 Highest growth was obtained in MRS while highest production was obtained in LAPTg Tomás et al.99
Feather meal, industrial fibrous soybean, dried cheese whey powder, grape bagasse BHI B. licheniformis P40 BLIS P40 Highest production was obtained with cheese whey followed by industrial fibrous soybean residue. Production was not detected in feather meal and grape bagasse Cladera-Olivera et al.31
MRS, M17 and BHI L. lactis subsp. lactis ST34BR Bacteriocin ST34BR Production in MRS was higher compared to BHI and M17 Todorov & Dicks140
BHI, M17, soy milk, molasses, MRS supplemented with (tryptone, saccharose or vitamin C) E. faecium ST311LD Bacteriocin ST311LD Low level of activity was recorded in BHI, M17 and in soy milk. Production was not recorded in molasses. The highest production was obtained in MRS Todorov & Dicks141
MRS broth, BHI broth, M17 broth, soy milk, molasses L. plantarum (ST23LD and ST341LD) Bacteriocin (ST23LD and ST341LD) Highest production was obtained in MRS. Low activity was recorded in M17, BHI, soy milk and molasses, despite relatively good growth Todorov & Dicks92
M17 and MRS P. acidilactici KKU 197 Bacteriocin KKU197 P. acidilactici KKU 197 displayed higher activity when grown in MRS compared to M17, although cell growth was similar Arbsuwan et al.142
MRS broth, BHI broth, M17 broth, soy milk, skim milk and molasses L. plantarum (JW3BZ and JW6BZ) L. fermentum (JW11BZ and JW15BZ) Bacteriocins (bacJW3BZ and bacJW6BZ) bacteriocins bacJW11BZ and JW15BZ Low production was recorded in BHI and M17. Highest production was obtained in MRS Mollendorff & Wilhelm143
TGE and MRS P. acidilactici H Pediocin AcH TGE resulted in higher production levels compared to MRS broth Papagianni & Anastasiadou144
MRS and TGE P. acidilactici H Pediocin AcH Production in MRS was about 15% lower compared to TGE, although the final cell concentration was greater in MRS Khay et al.145
Improving MRS (trypton, yeast extract, glucose, Tween, pH = 6), normal MRS E. durans E204 BLIS E204 Production was two-fold higher in improved MRS compared to normal MRS. Cell growth in improved MRS was 1.15 times higher compared to MRS Khay et al.145


Being the growth media for a broad range of bacteria, these complex media are also not optimal in composition and concentration for use in specific strains for bacteriocin production processes. These limitations include the availability of certain essential molecules which are required for cell metabolism, the production of organic acids that cause a reduction in culture pH resulting in antimicrobial effects, lack of nutrients during exponential growth, lack of essential minerals such as Fe2+ and Ca2+, as well as lack in different carbon sources which are required or preferred by some LAB strains. These limitations are due to the fact that LAB strains have a wide range of variations in their growth requirements and that cause much of complexity forming general growth media for LAB. On the other hand, low nutrient concentrations may cause fast depletion in the essential nutrient which may negatively affect growth whereas high nutrient concentration such as salts could also negatively affect growth or could be insoluble in water.23 Based on the above information, optimization of medium formulation or compound is required for improvement of bacteriocin production.

In view of the fact that bacteriocin production by LAB is growth-associated, it can be suggested that its production could be improved with the improvement of cell growth through the optimization of growth medium formulation such as carbon/nitrogen ratio. This is supported by a report that the amount of carbon (glucose) and nitrogen source greatly influenced the bacteriocin synthesis during the growth cycle of L. mesenteroides L124 and L. curvatus L442.24 Another study showed that the optimization of medium formulation based on CM medium was successfully applied to increase the volumetric bacteriocin activity by L. lactis by two-fold.21 Medium optimization is not only important for enhancing bacteriocin production but it is also an important factor in terms of cost reduction. Culture medium could account for up to 30% of the total production cost in commercial fermentations.25

Optimization of formulation of growth medium is one of the key factors that need to be considered in the enhancement of any fermentation processes. Medium formulation for industrial scale fermentations should fulfill a number of criteria: it should be cost-effective, high product yield, short fermentation time and ease of downstream purification processes.26 However, the medium that gives the highest product yield may not in most cases be the most cost-effective. Choice of the preferred medium is therefore dependent on the situation and in most cases a trade-off between the different factors. Formulation of medium is not only aimed at improvement of bacteriocin production but also to stabilize its production. Medium components such as sodium chloride (NaCl), ethanol and high carbon source concentrations have been used to stabilize bacteriocin production.20 Medium pH has also been shown to significantly affect bacteriocin stability.27

Some medium components are used to induce stressful environment that could enhance bacteriocin production. This is brought about by either stabilizing the bacteriocin or by preventing the aggregation of bacteriocin molecules. NaCl and ethanol are two components that have the above-mentioned effects but with variable results. The presence of NaCl and ethanol was inhibitory for the production of some bacteriocins while stimulatory in others.28 Verluyten et al.,29 reported that stress conditions due to nutrient limitation also could stimulate curvacin A production by L. curvatus LTH 1174.

Sugars, vitamins and nitrogen sources could be added to the culture medium as supplements to maximize bacteriocin production. Under normal circumstances there is usually an improvement of bacterial growth by the addition of supplements in the medium. However oversupply could lead to the inhibition of both bacterial growth and bacteriocin production. Alternatively the best-adapted culture medium could be formulated for maximum bacteriocin production. LAB is fastidious nutritional requirement microorganism. The fastidious characteristics of LAB could influence on nutritional requirements and metabolic capacity. In addition, fastidious nutritional requirements may also limit the ability to optimize and control the metabolic activities of LAB.23

The medium rich in yeast extract and protein hydrolysates is required for growth of LAB and good bacteriocin production. Good cell growth and bacteriocin production are complimentary to one another.30 However, high bacteriocin production need not necessarily depend on optimal cell growth.31,32 Although it has been generally accepted that bacteriocin production requires a complex medium,33 relatively simple medium could also be used for high production of bacteriocin. Many studies have determined the nutritional requirements of various bacterial strains in a completely defined medium34–37 but only very limited number of bacteriocins have been produced using a defined medium.38 In general, a semi-synthetic media containing complex peptidic sources such as MRS, Tryptone glucose yeast extract (TGYE) or all purpose tween (APT) are required for bacteriocin production.

Agriculture, food and industrial wastes

The high cost of protein sources invariably poses a major problem with respect to application of specific technology for commercial applications. At the same time waste products from the food industry could be an environmental problem due to their high biochemical oxygen demand (BOD). Hence the incorporation of protein-rich food wastes in the culture media for the production of bacteriocin using LAB could play a major role towards solving the waste disposal problem while at the same time a techno-economically viable approach could be adopted for the production of bacteriocin on a commercial scale.39

The commercial media such as ATP, MRS and TGYE which are the common media for the production of bacteriocins and their metabolites by LAB are characterized by their components. These media, normally rich in salts and proteins varies in concentration and diversity of origin. These media are expensive and not balanced in term of C/N ratio and other components. Thus, they are not suitable for industrial applications and may not support the production of the target bacteriocin. Since the C/N ratio is not balanced, removal of the unconsumed protein materials which still remain in the culture at the end of fermentation is still a problem in the discharge of the liquid waste and at the same time hinder the purification of the bacteriocins from the culture broth.40

The use of low-cost protein fractions will bring about a cost reduction in large-scale production processes. The use of food waste generated by the processing of resources from marine origin to obtain the protein fractions will enable a close productive cycle: recycling of a pollutant waste and obtaining products (bacteriocins) with high added value useful for preservation of foodstuffs.41

Inexpensive medium for bacteriocin production by LAB could be formulated using industrial waste or by-products such as molasses, soy, hydrolysed wheat flour, cheese whey and corn steep liquor (CSL).26,42,43 A number of criteria should be considered when opting to use industrial waste in the formulation of fermentation medium. These include the carbon or nitrogen content, price, availability and level of impurities. Research conducted on the use various wastes in medium formulation for bacteriocins production are summarized in Table 2. Food-based industrial by-product media rich in carbon and/or nitrogen with reduced cost have been used for bacteriocin production by LAB with reasonable success.31 In spite of the high level of impurities but being of food origin these low-cost media have made bacteriocins production most appropriate for application in the food industry.

Table 2 The use of various wastes in medium formulation for production of bacteriocins by LABa
Wastes Bacteriocin Producing strain Reference
a WP: whey permeate; DW: deproteinized whey; YE: yeast extract; MPW: mussel-processing waste; TGE: tryptone/glucose extract; OP: octopus peptone; CP: cull potatoes V V & FMR: visceral and fish muscle residues; CDS: condensed distillers soluble; FBE: fermented barley extract; SE: sweet whey.
WP + 0.2 M KCl WP + 1% (w/v) YE and 0.1% (w/v) Tween 80 L. lactis UL719 Nisin Z Desjardins et al.146
MPW L. lactis subsp. lactis CECT 539 Nisin Guerra & Castro147
P. acidilactici NRRL B-5627 Pediocin
DW L. lactis subsp. lactis CECT 539 Nisin Guerra et al.64 Guerra and Pastrana148
P. acidilactici NRRL B-L. lactis 5627 Pediocin
OP L. lactis Nisin Vázquez et al.149
P. acidilactici Pediocin
CW L. lactis subsp. lactis ATCC 11454 Nisin Liu et al.46
Demineralized whey protein fermentation liquor L. lactis DPC3147 Lacticin 3147 Crispie et al.150
CP L. lactis subsp. lactis ATCC 11454 Nisin Liu et al.151
WP L. plantarum UG1 Plantaricin UG1 Enan & Amri152
V and FMR L. lactis CECT 539 Nisin Vazquez et al.49
P. acidilactici NRRL B-5627 Pediocin
FBE L. lactis subsp. lactis ATCC 11454   Furuta et al.153
SW L. lactis UQ2 Nisin Gonzalez-Toledo et al.154


Whey is a by-product of the dairy industry and contains rich nutrients such as lactose, soluble proteins and minerals salts. Unfortunately whey and its nutritional qualities have traditionally been treated as waste and represent an important disposal and pollution issue because of its high biological and BOD. Consequently, it is of interest to use this by-product as a fermentation substrate for the production of value-added products.44 Substantially high nisin activity was obtained after 9 h batch fermentation supplemented with whey.45 The use of a mixed culture of L. lactis and Saccharomyces cerevisiae to whey-based medium to stimulate the production of nisin have been reported.46 Cheese whey has also been successfully used for bacteriocin production by several LAB strains.47 Potatoes juice could be used as alternative substrate for P. acidilactici, P. pentosaceus, and L. sakei cultivation aimed at the reduction of microbiological contaminations in sausages.3 Subsequently, rye wholemeal has also been used as a substrate for the production of bacteriocin by L. sakei KTU05-6.48

The utilization of waste from the slaughter house for bacteriocin production appears to be another attractive option to solve the environmental problem. The residues of animals generated from meat industries, trout, swordfish, tuna or cephalopod wastes allow the simple, rapid preparation of protein hydrolysates or autohydrolysates which are suitable for the formulation of medium for LAB fermentation. Different peptones obtained from the fish viscera and muscle residues promote growth of LAB for the production of nisin and pediocin.49

Role of carbon and nitrogen in LAB cultivation

In fermentation, carbon and nitrogen sources are required for both growth and product formation. The characteristic features and nature of carbon and nitrogen play a major role in microorganism metabolism.50 Nitrogen limitation phenomenon would switch to a carbon limitation phenomenon when there is an increment of nitrogen source concentration while the carbon source concentration is maintained. This could be explained by the fact that the carbon source is readily used up within a shorter period at higher nitrogen concentration and becomes limited in subsequent fermentation stages, suggesting that the yield of biomass would decrease with increasing nitrogen concentration. Nitrogen in one form or another is required for all processes involving biological growth especially with reference to synthesis of cellular protein and nucleic acid production. During fermentation, appropriate nitrogen supplementation is required by the microflora for its metabolism.

Types and concentrations of carbon source

The effect of carbon sources on the production of antimicrobial substances by various LAB strains are summarized in Table 3. By virtue of its size and rapid uptake, glucose is the main carbon source for all microorganisms which are rapidly utilized for energy conversion.15 Glucose is the preferred carbon source to stimulate bacteriocin production, in which, most researchers had demonstrated high bacteriocins yield in association with the presence of glucose in growth media and not other monosaccharide's.51 High yield of bacteriocins production in some LAB strains is associated with the inclusion of other sugars to growth medium rather than the use of glucose alone as they may have a complex enzymatic system that allow them to use other carbohydrates. This has been demonstrated in E. faecium which showed variable sugar utilization compared to glucose for bacteriocin production. Similar effect of sucrose and lactose are also confirmed for nisin production by L. lactis subsp. lactis.52
Table 3 Effect of carbon sources on the production of bacteriocin by LABa
Producer LAB strain; bacteriocin/BLIS Class Carbon sources Bacteriocin production Addition amounts Remarks References
Before addition After addition
a NM: not mentioned.
L. mesenteroides L124, bacteriocin L124 NM MRS 2560 (AU mL−1)     Production of bacterioicn with increasing glucose concentration from 2% to 6% (w/v) was not significantly different (P > 0.05) Mataragas et al.24
(MRS + 0.4% yeast extract + 1% peptone) glucose 2560 (AU mL−1) 2% (w/v)
(MRS + 0.4% yeast extract + 1% peptone) glucose 2560 (AU mL−1) 4.5% (w/v)
(MRS + 0.4% yeast extract + 1% peptone) glucose 2560 (AU mL−1) 6% (w/v)
L. curvatus L442, bacteriocin L442 NM MRS 1280 (AU mL−1)     Production of bacterioicn with increasing concentration of glucose from 2% to 6% (w/v) was not significantly different (P > 0.05) Mataragas et al.24
(MRS + 0.4% yeast extract + 1% peptone) glucose 1280 (AU mL−1) 2% (w/v)
(MRS + 0.4% yeast extract + 1% peptone) glucose 1280 (AU mL−1) 4.5% (w/v)
(MRS + 0.4% yeast extract + 1% peptone) glucose 1280 (AU mL−1) 6% (w/v)
L. plantarum ST194BZ; bacteriocin ST194BZ NM MRS without glucose, supplemented with below carbon source Highest bacteriocin production was obtained in medium with 20 g L−1 maltose. Production of bacteriocin in medium using 20 g L−1 of glucose, sucrose or lactose was not significantly different (P > 0.05) Todorov and Dicks155
Glucose (MRS) 6400 (AU per OD)   20 (g L−1)
Fructose 1600 (AU per OD) 20 (g L−1)
Saccharose 6400 (AU per OD) 20 (g L−1)
Lactose 6400 (AU per OD) 20 (g L−1)
Mannose 800 (AU per OD) 20 (g L−1)
Maltose 12 800 (AU per OD) 20 (g L−1)
Gluconate 800 (AU per OD) 20 (g L−1)
L. plantarum ST23LD; bacteriocin ST23LD NM MRS without glucose, supplemented with various carbon sources Highest bacteriocin production was obtained in medium with 20 g L−1 maltose. Production of bacteriocin in medium using 20 g L−1 of lactose, mannose or gluconate was not significantly different (P > 0.05) Todorov and Dicks92
Glucose (MRS) 2910 (AU per OD)   20 (g L−1)
Fructose 1468 (AU per OD) 20 (g L−1)
Sucrose 2910 (AU per OD) 20 (g L−1)
Lactose 726 (AU per OD) 20 (g L−1)
Mannose 726 (AU per OD) 20 (g L−1)
Maltose 5861 (AU per OD) 20 (g L−1) and above
Gluconate 726 (AU per OD) 20 (g L−1)
L. plantarum ST341LD; bacteriocin ST341LD NM MRS without glucose, supplemented with various carbon sources Highest bacteriocin production was obtained in medium consisting of 20 g L−1 maltose or glucose. Production of bacteriocin in medium using 20 g L−1 each of sucrose and gluconate or lactose and mannose was not significantly different (P > 0.05) Todorov & Dicks92
Glucose 2835 (AU per OD)   20 (g L−1)
Fructose 350 (AU per OD) 20 (g L−1)
Sucrose 700 (AU per OD) 20 (g L−1)
Lactose 1425 (AU per OD) 20 (g L−1)
Mannose 1425 (AU per OD) 20 (g L−1)
Maltose 2835 (AU per OD) 20 (g L−1)
Gluconate 700 (AU per OD) 20 (g L−1)
Micrococcus sp. GO5; micrococcin GO5 NM Not added (MRS) 63 (AU mL−1)     Highest bacteriocin production was obtained in medium consisting of 2% of lactose or sucrose. Production of bacteriocin in medium using 2% glucose, mannose, dextrin, fructose or maltose was not significantly different (P > 0.05) Kim et al.32
Glucose 126 (AU mL−1) 2%
Lactose 256 (AU mL−1) 2%
Sucrose 256 (AU mL−1) 2%
Mannose 126 (AU mL−1) 2%
Dextrin 126 (AU mL−1) 2%
Fructose 126 (AU mL−1) 2%
Maltose 126 (AU mL−1) 2%
Sorbitol 63 (AU mL−1) 2%
L. salivarius CRL 1328; salivaricin CRL 1328 NM Glucose NM 0.25[thin space (1/6-em)]log AU mL−1 units, p value: 0.02 0, 1 and 2% Bacteriocin production was stimulated by glucose. Lactose did not significantly (P > 0.05) influence bacteriocin production Tomás et al.156
Lactose NM 0.10[thin space (1/6-em)]log AU mL−1 units, p value: 0.36 0, 1 and 2%
G + L NM −0.26[thin space (1/6-em)]log AU mL−1 units, p value: 0.05
E. mundtii CWBI-B1431; BLIS NM M17LG (M17 + 0.5% lactose and 0.5 glucose) 17 × 103 (AU mL−1)     Highest production was obtained with lactose. BLIS could be produced with all the carbon sources tested Aguilar-Galvez et al.157
Various types of carbon source was added to M17 base broth
Arabinose   0.11 × 103 (AU mL−1) 1.0% (w/v)
Fructose 0.11 × 103 (AU mL−1) 1.0% (w/v)
Galactose 0.88 × 103 (AU mL−1) 1.0% (w/v)
Glucose 0.55 × 103 (AU mL−1) 1.0% (w/v)
Lactose 3.66 × 103 (AU mL−1) 1.0% (w/v)
Maltodextrin 0.33 × 103 (AU mL−1) 1.0% (w/v)
Maltose 0.11 × 103 (AU mL−1) 1.0% (w/v)
Raffinose 0.11 × 103 (AU mL−1) 1.0% (w/v)
Saccharose 0.55 × 103 (AU mL−1) 1.0% (w/v)
Xylose 0.44 × 103 (AU mL−1) 1.0% (w/v)
E. faecium CWBI-B1430; BLIS NM M17LG (M17 + 0.5% lactose and 0.5 glucose) 8.66 × 103 (AU mL−1)     Highest production was obtained with lactose. BLIS was not secreted in medium with raffinose Aguilar-Galvez et al.157
Different types of carbon source was added to M17 base broth
Arabinose   0.11 × 103 (AU mL−1) 1.0% (w/v)
Fructose 0.55 × 103 (AU mL−1) 1.0% (w/v)
Galactose 0.11 × 103 (AU mL−1) 1.0% (w/v)
Glucose 0.55 × 103 (AU mL−1) 1.0% (w/v)
Lactose 7.22 × 103 (AU mL−1) 1.0% (w/v)
Maltodextrin 0.22 × 103 (AU mL−1) 1.0% (w/v)
Maltose 0.55 × 103 (AU mL−1) 1.0% (w/v)
Raffinose 0 × 103 (AU mL−1) 1.0% (w/v)
Saccharose 0.55 × 103 (AU mL−1) 1.0% (w/v)
Xylose 0.22 × 103 (AU mL−1) 1.0% (w/v)
L. acidophilus AA11; acidocin D20079 II Without carbon source ∼100 (AU mL−1)     M17 broth supplemented with 0.5% lactose (M17L) was the preferred medium for bacteriocin production. Production in medium with lactose was 7-fold and 6-fold higher than medium with sucrose and glucose, respectively Abo-Amer96
M17 ∼2000 (AU mL−1)    
Lactose   ∼12[thin space (1/6-em)]100 (AU mL−1) 0.5%
Glucose   ∼2000 (AU mL−1) 0.5%
Sucrose   ∼1800 (AU mL−1) 0.5%
Fructose   ∼700 (AU mL−1) 0.5%
Maltose   ∼1500 (AU mL−1) 0.5%
Galactose   ∼1500 (AU mL−1) 0.5%
Xylose   ∼1700 (AU mL−1) 0.5%
Arabinose   ∼1500 (AU mL−1) 0.5%
Mannose   ∼1600 (AU mL−1) 0.5%
Raffinose   ∼1600 (AU mL−1) 0.5%
L. lactis; bacteriocin NM Media contain glucose ∼1.8 (U mL−1)   20 (g L−1)   Ramachandran et al.158
Glucose ∼1.875 (U mL−1) NM Production of bacteriocin was significantly increased with xylose as carbon source
Maltose ∼0.812 (U mL−1) NM
Lactose ∼1.562 (U mL−1) NM
Starch ∼1.31 (U mL−1) NM
Xylose ∼2.37 (U mL−1) NM
Sucrose ∼0.68 (U mL−1) NM
L. brevis bacteriocin DF01; bacteriocin DF01 NM MRS contain glucose 320 (AU mL−1)   2% Bacteriocin production with glucose and other carbon sources was not significantly different (P < 0.05). The highest production was achieved in medium containing glucose Lee et al.122
Lactose   0 2%
Fructose   80 (AU mL−1) 2%
Sucrose   0 2%
Mannose   0 2%
Dextrin   0 2%
Mannitol   0 2%
P. acidilactici; pediocin II MRS medium was supplemented with various carbon sources in place of glucose    
Fructose   418.2 (AU mL−1) 2.0% (w/v) Highest bacteriocin production was obtained in medium containing dextrose Neera et al.159
Maltose   227.26 (AU mL−1) 2.0% (w/v)
Galactose   320.45 (AU mL−1) 2.0% (w/v)
Sorbitol   188.62 (AU mL−1) 2.0% (w/v)
Xylose   368.18 (AU mL−1) 2.0% (w/v)
Sucrose   229.53 (AU mL−1) 2.0% (w/v)
Dextrose   447.73 (AU mL−1) 2.0% (w/v)
Rhamnose   188.62 (AU mL−1) 2.0% (w/v)
Lactose   229.53 (AU mL−1) 2.0% (w/v)
L. sp. MSU3IR; bacteriocin MSU3IR NM MRS ∼(320–385) (AU mL−1)     Highest bacteriocin activity was obtained with lactose and the minimum activity was recorded in mannitol supplied medium Iyapparaj et al.105
Fructose   ∼(375–490) AU mL−1 1.0% (w/v)
Maltose   ∼(355–495) AU mL−1 1.0% (w/v)
Sucrose   ∼(485–525) AU mL−1 1.0% (w/v)
Lactose   ∼(560–695) AU mL−1 1.0% (w/v)
Mannitol   ∼(330–440) AU mL−1 1.0% (w/v)
Xylose   ∼(355–445) AU mL−1 1.0% (w/v)
E. durans E204; BLIS E204 NM MRS 320 (AU mL−1)     Highest bactriocin activity was obtained with 2% glucose Khay et al.145
Glucose   320 (AU mL−1) 2%
  640 (AU mL−1) 3%
  160 (AU mL−1) 4%


Several LAB strains such as L. lactis53 and S. pyogenes54 appear to use glucose preferentially for nisin Z and streptococcin SA-FF22 production, respectively. In L. lactis, glucose supports higher specific growth rates, faster substrate consumption and greater product formation compared to other carbon sources.55 Papagianni et al.56 reported a direct relationship between nisin production and the rate of glucose consumption by L. lactis.57 demonstrated that ruminal S. bovis uses glucose and sucrose preferentially to maltose and cellobiose and the utilization of these sugars was later shown to be regulated by specific phosphotransferase transport systems (PTS).58 However, Russell59 verified that glucose PTS could not account for the glucose consumption rates of rapidly growing cultures and a low-affinity facilitated diffusion mechanism was responsible for glucose transport at high substrate concentrations.

Starch has a negative effect on bacteriocin production which could be due to the attachment of bacterial cells to the surface of starch molecules which could cease utilization of the latter.60 Most bacteria are able to ferment mono- and di-saccharides and only a limited number possess the ability to ferment complex carbohydrates such as starch. Amylolytic LAB have the ability to secrete amylase which hydrolyse starch to fermentable sugars and these type of LAB have been used in simultaneous saccharification and fermentation processes.61 High molecular weight carbon and energy sources are broken down into smaller molecules by microorganism to be converted into amino acids, nucleotides, vitamins, carbohydrates and fatty acid to build these basic materials into proteins, coenzymes, nucleic acids, micropeptides, polysaccharides and lipids used for growth.62 Some bacteria are not able to ferment complex carbon sources, hence it is necessary to have a pre-treatment step where the sugars are hydrolysed into fermentable sugars. Hydrolysis can be achieved by either adding commercial enzymes such as glucoamylase to the broth or by using heat treatment at low pH.61 The problem with such treatments is the extra cost and complexity involved in the production process which render the procedure less favorable from both economical and production point of view. The ability of LAB to metabolize different carbon sources is based on the specific activities of the enzymes involved in carbohydrate degradation. In many cases, the addition of sugars lead to decrease in bacteriocin production which can be explained with the unfavorable conditions for growth and to some extent with the osmotic stress leading to decreased in growth rate.63 Osmotic stress, which increases the energy demand, apparently reduces the maximum secretion of bacteriocin, indicating that the energy is required in excess for the synthesis.

Production of bacteriocin is also influenced by the concentrations of carbon source.64,65 Bacteriocin production is increased with increasing glucose concentration up to certain level. However, bacteriocin production is not stimulated at high glucose concentration due to the saturation of glucose transport inside the cells. In batch fermentation of L. lactis nisin production is inhibited at high glucose concentration (25 g L−1) due to a decrease in the rate of glucose uptake as reported.56 Pattnaik et al.66 also reported a decrease in bacteriocin production by B. licheniformis 26L-10/3RA at high glucose concentrations and hypothesized that this inhibition was caused by catabolite repression.

Types and concentrations of nitrogen source

The effect of nitrogen sources on the production of antimicrobial substances by various LAB strains are summarized in Table 4. In most cases the presence of a nitrogen source is crucial for bacteriocin production. Nitrogen source used as supplements include yeast extract, beef extract, peptone, malt sprouts and soybean.27 The response of microorganism to different concentrations of nitrogen depends largely on the type of nitrogen sources. Some microorganisms are not capable of synthesizing organic nitrogen compounds from the readily available nutrient in the media. Hence, this microorganisms especially those with complex nutritional requirement would need essential growth factors. These are in the form of essential nutrients which are necessary for viz. synthesis of nucleic acid which require purines and pyrimidines, synthesis of proteins which require amino acids and vitamins which are required as coenzymes and functional groups of certain enzymes. Instead of metabolizing the growth factors as a source of carbon or energy they are taken up by the cells and utilized to perform specific roles in metabolism. Catabolism of amino acid is known to have the capability of providing energy in an environment with limited nutrients. In terms of the catabolic pathways, the role of amino acids in LAB is not fully understood. Some LAB, through the arginine deiminase (ADI) pathway is known to produce extra energy by degrading arginine to citrulline, ornithine and ammonium. Although organic nitrogen is a complex nitrogen source made up of peptides and free amino acids, it is taken up directly from the medium by the cells. Hence this complex nitrogen source is incorporated into protein. Alternatively it is transformed into other cellular nitrogenous constituents.67 By contrast the cell spends more energy and time in synthesizing amino acids for protein synthesis from inorganic nitrogen sources.68,69
Table 4 Effect of nitrogen sources on the production of bacteriocin by LABa
Producer LAB strain; bacteriocin/BLIS Class Nitrogen sources tested Bacteriocin production Addition amounts Remarks References
Before addition After addition
a NM: not mentioned; YE: yeast extract; TP: tryptone; PP: peptone.
L. mesenteroides L124, bacteriocin L124 NM MRS 2560 (AU mL−1)     Production of bacteriocin increased with the addition of peptone but the production with 2% and 4% peptone was not significantly different (P > 0.05) Mataragas et al.24
(MRS + 3% glucose + 1% yeast extract) peptone   5120 (AU mL−1) 2% (w/v)
(MRS + 3% glucose + 1% yeast extract) peptone   5120 (AU mL−1) 4% (w/v)
L. curvatus L442, bacteriocin L442 NM MRS 1280 (AU mL−1)     Production of bacteriocin was increased with the addition of 2% peptone while the production in MRS and media containing 4% peptone was not significantly different (P > 0.05) Mataragas et al.24
(MRS + 3% glucose + 1% yeast extract) peptone   2560 (AU mL−1) 2% (w/v)
(MRS + 3% glucose + 1% yeast extract) peptone   1280 (AU mL−1) 4% (w/v)
L. plantarum ST194BZ; bacteriocin ST194BZ NM MRS broth without organic nutrient was supplemented with various types of nitrogen source Bacteriocin production was stimulated by the presence of tryptone Todorov & Dicks155
Glucose (MRS) 6400 (AU mL−1)   20 (g L−1)
Tryptone   12[thin space (1/6-em)]800 (AU mL−1) 20 (g L−1)
Meat extract   3200 (AU mL−1) 20 (g L−1)
Yeast extract   1600 (AU mL−1) 20 (g L−1)
Tryptone + meat extract   12[thin space (1/6-em)]800 (AU mL−1) 12.5 + 7.5 (g L−1)
Tryptone + yeast extract   12[thin space (1/6-em)]800 (AU mL−1) 12.5 + 7.5 (g L−1)
Meat extract + yeast extract   800 (AU mL−1) 10 + 10 (g L−1)
Tryptone + meat extract + yeast extract   12[thin space (1/6-em)]800 (AU mL−1) 10 + 5 + 5 (g L−1)
L. plantarum ST23LD; bacteriocin ST23LD NM MRS broth without organic nutrient was supplemented with various types nitrogen source Highest production was achieved with combination of yeast extract and tryptone Todorov & Dicks92
Tryptone   2922 (AU per OD) 20 (g L−1)
Meat extract   1454 (AU per OD) 20 (g L−1)
Yeast extract   2922 (AU per OD) 20 (g L−1)
Trypone + ME   2922 (AU per OD) 12.5 + 7.5 (g L−1)
Tryptone + YE   5860 (AU per OD) 12.5 + 7.5 (g L−1)
ME + YE   1454 (AU per OD) 10 + 10 (g L−1)
L. sakei CCUG 42687; Sakacin P II YE   6.5 (mg L−1) 5 (g L−1) Production was increased with increasing tryptone concentration although the effect was markedly lower compared to yeast extract Aasen et al.75
  11.6 (mg L−1) 10 (g L−1)
  17.45 (mg L−1) 15 (g L−1)
TP   6 (mg L−1) 0 (g L−1)
  8.3 (mg L−1) 2.5 (g L−1)
  10.2 (mg L−1) 5 (g L−1)
  12 (mg L−1) 10 (g L−1)
  12.5 (mg L−1) 15 (g L−1)
L. plantarum ST341LD; bacteriocin ST341LD NM MRS broth without organic nutrient was supplemented with various types of nitrogen source Tryptone was the key nitrogen source needed for optimal bacteriocin production Todorov & Dicks92
Tryptone   5672 (AU per OD) 20 (g L−1)
Meat extract   2842 (AU per OD) 20 (g L−1)
Yeast extract   1427 (AU per OD) 20 (g L−1)
Trypone + ME   5672 (AU per OD) 12.5 + 7.5 (g L−1)
Tryptone + YE   5672 (AU per OD) 12.5 + 7.5 (g L−1)
ME + YE   2842 (AU per OD) 10 + 10 (g L−1)
Micrococcus sp. GO5; micrococcin GO5 NM Basal medium contained MRS all nitrogen sources were omitted and 2% glucose was replaced with 2% lactose. The basal medium was supplemented with various types of nitrogen sources Highest production was achieved in tryptone-containing medium Kim et al.32
Not added 18.32 (AU mL−1)    
Beef extract   129.95 (AU mL−1) 1% (w/v)
Peptone   65 (AU mL−1) 1% (w/v)
Skim milk   6.66 (AU mL−1) 1% (w/v)
Urea   10 (AU mL−1) 1% (w/v)
NH4Cl   65 (AU mL−1) 1% (w/v)
Tryptone   261.56 (AU mL−1) 1% (w/v)
Ammonium sulfate   35 (AU mL−1) 1% (w/v)
soytone   130 (AU mL−1) 1% (w/v)
Yeast extract   130 (AU mL−1) 1% (w/v)
Ammonium citrate   36.65 (AU mL−1) 1% (w/v)
L. salivarius; salivaricin CRL 1328 NM Yeast extract NM 0.67 log AU mL−1 units, p value: 0.00 0, 1 and 2% (w/v) Bacteriocin production with yeast extract and tryptone was not significantly different Tomás et al.156
Tryptone NM 0.66 log AU mL−1 units, p value: 0.00 0, 1 and 2% (w/v) Higher interacting effect for bacteriocin production was detected between yeast extract and tryptone
Meat peptone NM 0.47 log AU mL−1 units, p value: 0.00 0, 1 and 2% (w/v) Production was markedly influenced by a combination of yeast extract, tryptone and meat peptone
YE + T NM −0.68 log AU mL−1 units, p value: 0.00  
YE + MP NM −0.18 log AU mL−1 units, p value: 0.17  
T + MP NM −0.34 log AU mL−1 units, p value: 0.013  
E. mundtii CWBI-B1431; BLIS NM M17LG (M17 + 0.5% lactose and 0.5 glucose) 17.1 × 103 (AU mL−1)     Highest BLIS production was obtained with beef extract Aguilar-Galvez et al.157
Various type of nitrogen source was added to M17LG, medium without nitrogen source
Beef extract   3.675 × 103 (AU mL−1) 1.5% (w/v)
Beef peptone   1.2 × 103 (AU mL−1) 1.5% (w/v)
Casein   0.15 × 103 (AU mL−1) 1.5% (w/v)
Casein peptone   0.975 × 103 (AU mL−1) 1.5% (w/v)
Proteose   0.9 × 103 (AU mL−1) 1.5% (w/v)
Soy peptone   1.2 × 103 (AU mL−1) 1.5% (w/v)
Yeast extract   0.9 × 103 (AU mL−1) 1.5% (w/v)
E. faecium CWBI-B1430; BLIS NM M17LG (M17 + 0.5% lactose and 0.5 glucose) 8.625 × 103 (AU mL−1)     Highest BLIS production was obtained with beef extract Aguilar-Galvez et al.157
Various types of nitrogen source was added to M17LG, medium without nitrogen source
Beef extract   2.25 × 103 (AU mL−1) 1.5% (w/v)
Beef peptone   1.125 × 103 (AU mL−1) 1.5% (w/v)
Casein   0.3 × 103 (AU mL−1) 1.5% (w/v)
Casein peptone   0.45 × 103 (AU mL−1) 1.5% (w/v)
Proteose   0.45 × 103 (AU mL−1) 1.5% (w/v)
Soy peptone   0.675 × 103 (AU mL−1) 1.5% (w/v)
Yeast extract   1.05 × 103 (AU mL−1) 1.5% (w/v)
L. acidophilus AA11, acidocin D20079 II Control (M17L medium) 12[thin space (1/6-em)]320 (AU mL−1)     Highest bacteriocin production was obtained in medium containing yeast extract Abo-Amer96
Basal medium 0 (AU mL−1)    
(Basal medium was based on M17L medium, in which, all nitrogen sources were eliminated and then supplemented with various types of nitrogen source
Beef extract   400 (AU mL−1) 1.0%
Yeast extract   12[thin space (1/6-em)]320 (AU mL−1) 1.0%
Tryptone   7360 (AU mL−1) 1.0%
Peptone   1680 (AU mL−1) 1.0%
Proteose peptone   6320 (AU mL−1) 1.0%
Casitone   3040 (AU mL−1) 1.0%
Casein   480 (AU mL−1) 1.0%
Soytone   6320 (AU mL−1) 1.0%
L. Lactis, bacteriocin NM Nitrogen source in basal media: peptone, meat extract and yeast extract ∼1.8 (U mL−1)   10, 10 and 5 (g L−1) Peptone was the preferred nitrogen source for bacteriocin production. Organic nitrogen gave higher bacteriocin yield as compared to inorganic nitrogen sources Ramachandran et al.158
Peptone   2.875 (U mL−1) NM
Urea   0.875 (U mL−1) NM
Yeast extract   1.87 (U mL−1) NM
Potassium nitrate   1.625 (U mL−1) NM
Ammonium chloride   0.81 (U mL−1) NM
Sodium nitrate   1.18 (U mL−1) NM
L. brevis DF01; bacteriocin DF01 NM MRS 320 (AU mL−1)     Highest bacteriocin production was achieved with 1% YE. Reduced bacteriocin production was observed with the addition of yeast extract. Reduced bacteriocin production was also observed with the addition of other nitrogen sources such as BE, TP and PP mixed with YE Lee et al.122
MRS + YE   640 1%
MRS + YE   160 3%
MRS + (BE + YE)   320 (0.5 + 1)%
MRS + (BE + YE)   320 (1.5 + 1)%
MRS + (TP + YE)   320 (0.5 + 1)%
MRS + (TP + YE)   320 (1.5 + 1)%
MRS + (PP + YE)   320 (1.5 + 1)%
P. acidilactici; pediocin II MRS was used as basal medium, in which, yeast extract, beef extract, peptone and ammonium citrate were excluded. This basal medium was supplemented with various types of nitrogen source Highest bacteriocin production was observed in medium containing soya peptone Neera et al.159
Skim milk   228.5 (AU mL−1) 2.5% (w/v)
Casein peptone   250 (AU mL−1) 2.5% (w/v)
Soya peptone   500 (AU mL−1) 2.5% (w/v)
Whey protein   370 (AU mL−1) 2.5% (w/v)
Soya bean meal   250 (AU mL−1) 2.5% (w/v)
E. durans E204; BLIS E204 NM MRS 320 (AU mL−1)     Highest BLIS production was obtained in medium containing 2.0% tryptone, 2.0 to 3.0% yeast extract Khay et al.145
Tryptone   320 (AU mL−1) 1% (w/v)
  640 (AU mL−1) 2% (w/v)
  160 (AU mL−1) 3% (w/v)
Yeast extract   320 (AU mL−1) 0.5% (w/v)
  320 (AU mL−1) 1% (w/v)
  640 (AU mL−1) 2% (w/v)
  640 (AU mL−1) 3% (w/v)
Meat extract   320 (AU mL−1) 1% (w/v)
  160 (AU mL−1) 2% (w/v)
  160 (AU mL−1) 3% (w/v)
L. sp. MSU3IR; bacteriocin MSU3IR NM MRS ∼(320–365) (AU mL−1)     Highest bacteriocin production was obtained in medium containing ammonium acetate while the lowest bacteriocin production was obtained in medium containing sodium nitrate. Increase in bacteriocin production was due to inorganic nitrogen source Iyapparaj et al.105
Ammonium acetate   ∼(360–600) (AU mL−1)  
Ammonium chloride   ∼(315–500) (AU mL−1)  
Ammonium nitrate   ∼(305–410) (AU mL−1)  
Sodium sulphate   ∼(240–400) (AU mL−1)  
Sodium citrate   ∼(0–470) (AU mL−1)  
Sodium nitrate   ∼(0–410) (AU mL−1)  


Organic nitrogen sources such as peptone, beef extract, and yeast extract are commonly used to support good growth of LAB.70 An organic nitrogen source, especially yeast extract, is considered to be of vital importance by virtue of its stimulatory effect on microbial cell growth. Yeast extract is the water soluble components of yeast cells made up primarily of amino acids, peptides, carbohydrates and salts. The excellent stimulation for growth is attributed to the presence of a high number of growth factors in the yeast extract compared to any other protein hydrolysates prepared by enzymatic hydrolysis.71 The amino acids or peptides in yeast extract could act as inducer or precursor for bacteriocin synthesis by LAB. The use of yeast extract which is rich in vitamins, minerals, amino acids and other easily consumable nitrogen sources, is not economical in a large scale fermentation process due to relatively high cost of this nitrogen source. The principal nutrients in the yeast extracts are purine and pyrimidine bases and group B vitamins.72

Peptone is another major organic nitrogen source widely used in microbiological media. Peptone is defined as water-soluble, non-heat coagulable protein hydrolysates which contain a mixture of peptides, proteoses and free amino acids.73 The media recommended for the cultivation of LAB are those that contain several peptones at high concentration, in which, only a small proportion of peptones supplied are consumed during the fermentation.74 Peptones in commercial media are also necessary for bacteriocin production but the efficiencies (substrate consumed/initial substrate) of these media are usually low suggesting the proportions of nutrients in it is unbalanced.70

Attempts have been made to balance the medium by the usual procedure of reducing the initial protein level to a slight excess with regard to consumption. However, often the results are marked drops in the production of biomass and typical metabolites, in particular bacteriocins. Furthermore, protein materials which remain after the incubation constitute superfluous expenditure and hinder subsequent purification of the bacteriocins. Replacement of these proteins by inorganic sources of nitrogen does not produce acceptable results and are not suitable for adjusting the initial protein level to the predicted amount for consumption. As peptones do not represent a source of organic nitrogen but rather a source of amino acids or peptides with specific roles, only a fraction added is really important. Therefore, the use of low-cost protein fractions will bring about a reduction in large-scale production costs.74

The replacement of half amount of yeast extract with either beef extract or malt extract resulted in the reduction in biomass from L. sakei CCUG 42687 and bacteriocin production.75 Moreover, growth and bacteriocin production were markedly improved with the replacement of tryptone with bacteriological peptone or soytone, while the use of a fish hydrolysate reduced growth of L. sakei.76 When peptone, beef extract, and yeast extract were replaced in food grade medium by Baker's yeast peptone, L. plantarum was able to grow whereas other lactobacilli strains such as L. acidophilus, L. delbrueckii subsp. bulgaricus, and L. delbrueckii subsp. lactis failed to grow.77

LAB are incapable of growing in medium using mineral nitrogen devoid of exogenous amino acids. It is however responsive to changes in the availability of nitrogen in its environment brought about by regulating the proteolytic system to ensure that there is a proper nitrogen balance within the cell. The level of individual nutrients in the extracellular environment has some influence in the synthesis of many exo-proteins.78 Nitrogen limitation appears to be attributed to the fastidious nutritional requirement of the LAB which is especially true when there could be a significant level of nitrogen which remained at the end of fermentation. In this respect energy (carbon) metabolism and biosynthesis (nitrogen) metabolism in LAB do not overlap paving the way for metabolic engineering. In this respect it is possible to change either metabolism which do not influence the other provided energy generation or biosynthesis of cell material remain intact.64,75 Enhanced bacteriocin production due to increasing nitrogen content could be attributed to the increased in peptide and/or growth factors in the nitrogen sources which is an essential element or an inducer in the synthesis of bacteriocin.

Surfactants

The effects of surfactant on the production of antimicrobial substances by various LAB strains are summarized in Table 5. In some cases the addition of surfactants increased the concentration of bacteriocins produced as a consequence of cell growth acceleration. Surfactants may enhance the sensitivity of the indicator strain and form micelles with proteinaceous compounds thus stabilizing the bacteriocins.79,80
Table 5 Effect of Tween 80 on the production of antimicrobial substances by LABa
Producer LAB strain Antimicrobial substance Class Effect Bacteriocin production (AU mL−1) Amount of tween added References
Before addition After addition
a NM: not mentioned.
P. damnosus NCFB 1832 Pediocin PD-1 NM Positive 1300 4000 3% (v/v) Nel et al.160
E. faecium NKR-5-3 Bacteriocin NKR-5-3 NM Positive 800 3200 0.1% (v/v) Wilaipun et al.139
L. lactis subsp. lactis ST34BR Bacteriocin ST34BR NM Negative NM >50% reduced NM Todorov & Dicks140
L. mesenteroides E131 Bacteriocin E131 NM No 2560 2560 0.1% (v/v) Xiraphi et al.161
L. mesenteroides subsp. mesenteroides ST33LD Bacteriocin ST33LD NM Positive NM >50% increased NM Todorov & Dicks141
L. lactis Nisin NM Positive ∼25[thin space (1/6-em)]000 ∼51[thin space (1/6-em)]000 5 (g L−1) Liu et al.46
L. plantarum Bacteriocins ST28MS & ST26MS NM Negative NM >50% reduced NM Todorov & Dicks162
L. plantarum ST194BZ Bacteriocin ST194BZ NM Positive NM >50% increased NM Todorov & Dicks155
L. rhamnosus ST461BZ & ST462BZ Bacteriocins ST461BZ & ST462BZ NM Positive NM >50% increased NM Todorov & Dicks163
L. casei CRL 705 Lactocin 705 II Positive 0 2133   Vignolo et al.164
0 0% (v/v)
533 0.05% (v/v)
1066 0.1% (v/v)
2133 0.5% (v/v)
2133 1.0% (v/v)
L. plantarum JW3BZ Bacteriocin JW3BZ NM Positive       von Mollendorff et al.165
3200   0 (mL L−1)
  25[thin space (1/6-em)]600 0.05 (mL L−1)
  25[thin space (1/6-em)]600 0.10 (mL L−1)
  51[thin space (1/6-em)]200 0.15 (mL L−1)
  51[thin space (1/6-em)]200 0.20 (mL L−1)
L. plantarum JW6BZ Bacteriocin JW3BZ NM Positive 3200   0 (mL L−1) von Mollendorff et al.165
  25[thin space (1/6-em)]600 0.05 (mL L−1)
  25[thin space (1/6-em)]600 0.10 (mL L−1)
  51[thin space (1/6-em)]200 0.15 (mL L−1)
  51[thin space (1/6-em)]200 0.20 (mL L−1)
L. fermentum JW11BZ Bacteriocin JW11BZ NM No effect 6400   0 (mL L−1) von Mollendorff et al.165
  6400 0.05 (mL L−1)
  6400 0.10 (mL L−1)
  6400 0.15 (mL L−1)
  6400 0.20 (mL L−1)
L. fermentum JW15BZ Bacteriocin JW15BZ NM Positive 3200   0 (mL L−1) von Mollendorff et al.165
12[thin space (1/6-em)]800 0.05 (mL L−1)
12[thin space (1/6-em)]800 0.10 (mL L−1)
25[thin space (1/6-em)]600 0.15 (mL L−1)
25[thin space (1/6-em)]600 0.20 (mL L−1)
L. sakei Sakacin A II No 480 480 0, 1, 2 (g L−1 or % v/v) Trinetta et al.166
L. sakei ST22CH Bacteriocin ST22CH NM Positive 1600 6400   Todorov et al.167
1600 0 (g L−1)
1600 1 (g L−1)
3200 2 (g L−1)
6400 5 (g L−1)
L. sakei ST153CH Bacteriocin ST153CH NM Positive 0 1600   Todorov et al.167
0 0 (g L−1)
800 1 (g L−1)
800 2 (g L−1)
1600 5 (g L−1)
L. sakei ST154CH Bacteriocin ST154CH NM Positive 0 1600   Todorov et al.167
0 0 (g L−1)
800 1 (g L−1)
1600 2 (g L−1)
1600 5 (g L−1)
E. durans E204 BLIS E204 NM Positive   320 0.1% (MRS) Khay et al.145
  640 0.5%
  160 1%


Tween 80 as a surfactant is the most important medium component for the enhancement of bacteriocin production by some LAB strains.27 This is brought about by Tween 80 stimulating the secretion of peptides through its influence on membrane fluidity. This product is a non-ionic detergent and a water-soluble ester of oleic acid in which growth of microorganisms is enhanced with their presence. Oleic acid has been known to be an essential growth factor for several microorganisms while non-ionic detergents containing oleic acid, free oleic acid and cis-vaccenic acid can be used to replace the requirement for biotin by lactobacilli.81 The presence of Tween 80 in the culture helped to incorporate oleic acid into the cell membrane and oleic acid is then converted into cyclopropane fatty acids.82 It is believed that the role of cyclopropane fatty acids is to increase fluidity of LAB membranes as in the case of polyunsaturated fatty acids and to protect LAB from different environmental conditions viz. low pH, deleterious effects of oxygen, and extreme temperatures.83 Several reports claimed that Tween 80 improved the production of bacteriocin by preventing the aggregation of their molecules.84 Tween 80 could change the surface tension of the producer cell and facilitates the discharge/release of bacteriocin from the cell surface.85 This could be brought about by the formation of micelles in the presence of proteins in the medium which stabilized the production of bacteriocin.

Addition of SDS in culture medium resulted in enhanced bioactivity which could be due to the increased permeability of the cell membrane of indicator organism or due to the break up of bacteriocin complex into active subunits with enhanced lethal effect.86 Bacteriocin production is enhanced in the presence of a polysorbate non-ionic surfactant Tween 20 by suppressing the adhesion of bacteriocin-producing cells and due to its effect on membrane fluidity and stimulation of the secretion of proteins.87 The presence of Tween 20 in the culture enhanced the activity of the bacteriocin produced by L. sakei/curvatus ACU-1.88

Effect of cultivation condition

Temperature

Temperature play an important role on bacteriocin production. The optimum temperature for growth and bacteriocin production are correlated as observed in lactocin A,89 enterocin 1146 and lactocin S,90,91 nisin Z,53,92 plantaricin93 and enterocin 1146.94 The optimal temperature for bacteriocin production may not be similar to that of optimal temperature for bacterial growth.21,30,95,96 There are also reports on maximum bacteriocin production at suboptimal growth temperatures. In the case of amylovorin L471, slow growth at low temperature was suggested to be attributed to the release of more energy for bacteriocin production by L. amylovorus DCE 471.91 As for sakacin P, higher bacteriocin production at low temperatures was reported to be due to different rate-limiting reactions which are temperature-dependent resulting in better utilization of carbon and/or energy. Growth rates was low at low temperature, which in turn increased the availability of essential metabolites (ATP included) for bacteriocin production. Increased in degradation or inactivation of the bacteriocin at high temperatures is another explanation.84 An interesting observation is the temperature sensitivity of sakacin A, which is regulated by a three-component regulatory system,97 although the optimal temperature was not as low as that required for sakacin P.84

Optimum incubation temperature and pH on growth of various LAB strains and production of bacteriocin is summarized in Table 6. The optimum incubation temperature for high yield bacteriocin production must be evaluated on individual basis and on the basis of strain-dependence. The optimum temperature for bacteriocin production in most strains isolated to date ranged from 30 °C to 37 °C.98 However, at high temperature (44 °C) synthesis or production of bacteriocin by microorganism could be curtailed despite possible cell growth under those conditions.14,99 Research by Lim100 confirmed the work of Messens et al.101 who suggested the rate of bacteriocin inactivation increased with high temperature which is probably the result of higher protease activity or a more pronounced cell-bacteriocin or bacteriocin–bacteriocin interaction.

Table 6 Effect of temperature and pH on growth of various LAB strains and production of bacteriocina
Producer LAB strain/bacteriocin Class Optimum temp. for: (°C) Optimum pH for References
Growth Production Growth Production
a NM: not mentioned.
Lactococci
L. lactis subsp. lactis A164/Nisin-like bacteriocin NM 37 30 6.0 6.0 Cheigh et al.71
L. lactis ssp. lactis 1(NN-MD1-7)/bacteriocin NM 35 35 6.5 6.5 Chanprasert & Gasaluck168
L. lactis/bacteriocin NM 30 30 6.0 6.0 Ramachandran et al.158
[thin space (1/6-em)]
Lactobacilli
L. salivarius CRL 1328/bacteriocin CRL 1328 NM 37 37 6.5 6.5–8.0 Tomás et al.99
L. curvatus LTH 1174/curvacin A II 34.5 20–27 6 5.1 Messens et al.101
L. acidophilus AA11/acidocin AA11 II 37 30 6.5 6.5 Abo-Amer96
L. spp. (L. acidiphilus M2, L. acidiphilus CH1, L. fermentum M1 and L. pentosus CH2)/bacteriocin NM 34 34 6.0 6.0 Mahrous et al.169
[thin space (1/6-em)]
Pediococci
P. acidilactici ITV 26/pediocin II 40 35 5 5 Calderón-Santoyo et al.170
P. acidilactici PA003/pediocin II 35 35 6.5 6.1 Zhang et al.83
[thin space (1/6-em)]
Enterococci
E. faecium CWBI-B1430 and E. mundtii CWBI-B1431/enterocin-like bacteriocin NM 37 37 7.0 7.0 Aguilar-Galvez et al.157
E. faecium. B3L3/bacteriocin B3L3 NM 37 37 8 8 Yusuf & Hamid171
[thin space (1/6-em)]
Leuconostocs
L. mesenteroides L124/bacteriocins L124 NM 30 25 6.0–6.5 5.5 Mataragas et al.30


pH

The metabolic activity of LAB is greatly affected by the medium and culture pH. LAB are generally fastidious on artificial media but they grow readily in most food substrates, produce acids and reduce the culture pH rapidly to a point where other competing microorganisms are no longer able to grow. However the formation of organic acids depended on the type of fermentation, duration, temperature, substrate and LAB strain.48,102 LAB is more acid tolerant compared to other types of bacteria and are more tolerant to a lower and wider pH range (Table 6). It is well known that culture pH greatly influenced the growth of LAB and bacteriocin production apart from influencing cell aggregation, cell absorption of bacteriocin and/or proteolytic degradation. Bacteriocin is produced within a specific pH range which varies with the producer strains and can be quite different from the pH range at which the bacteriocin is stable and active.103 pH controls enzymatic reaction – hence due to low pH and accumulation of lactic acid or exhausted energy source, cell growth ceases or stops and so does bacteriocin production. Since immunity of the bacteriocin producer cells is based on the production of immunity peptides whose genes are co-transcribed with the bacteriocin structural genes its level will also decrease when bacteriocin production ceases.104

Optimal pH for the growth or bacteriocin production is markedly dependent on the characteristics of microbial strains used. Optimal pH for some bacteriocins production ranged from pH 5.5 to 6.0 while for others being less than pH 5.105 These pH values are however different from the optimal pH for bacterial growth. Bacteriocin production being dependent on pH is an indication that pH could regulate the expression of biosynthetic gene similarly observed for several classes of genes.33 With low growth rate there is better utilization of energy resulting in enhanced bacteriocin production. The enzymatic reactions in the utilization of energy are regulated by pH. Reduction in pH may decrease the enzymatic reaction, which in turn, reduce the growth rate of the bacterium. The positive effect is therefore on bacteriocin synthesis as a result of net increase of essential metabolites including ATP.84 The acidification of medium during fermentation could also affect to protein solubility and hydrolysis of polypepties.106

It can be deduced from the above reports that the most critical physiochemical factors which play a crucial role and exert a significant effect on bacteriocin production by bacteriocinogenic strains are pH and temperature. Bacteriocin production was highest at pH ranging from 5.5 to 6.0 with temperature slightly lower than that for optimal growth.30,107,108 Production of some bacteriocins is enhanced at low pH (5.0). Since the synthesis of bacteriocin is enhanced at a relatively low growth rates, bacteriocin production by some LAB is enhanced at non-optimal growth conditions. Increased in growth rate did not necessarily enhanced bacteriocin production. Lower growth rates at sub-optimal pH or temperature values indicate potentially better utilization of energy and essential metabolites.75,84 At high temperatures or pH, bacteriocin production is lower because energy needs for maintenance purposes are higher when temperature or pH increases. Maintenance operations such as turnover of macromolecules (DNA, RNA) and maintenance of the potential along the membrane of cells are growth dependent and faster growth rates mean more energy is required for maintenance. However, there are cases of better bacteriocin production at temperatures close to that of optimum for growth.107,108 The optimum pH and temperature for cell growth did not correspond well with those requirements for the enhancement of bacteriocin synthesis.99

Aeration and agitation

The availability of oxygen has a great influence on microbial growth. Microorganisms vary with respect to their requirements and tolerance toward molecular oxygen. LAB are facultative anaerobic microorganisms where they are capable of modifying a central part of their metabolic pathways according to the availability of oxygen in the medium. This ability allows their classification into homo- and heterolactics.109 With no oxygen required for growth this element in fact has a negative effect on the growth of these microbes. Being aerotolerant microorganisms growth of LAB is generally slightly affected by oxidative stress.20

Some bacteria especially those that are anaerobic are not capable of synthesizing cytochromes and other heme containing enzymes. L. acidophilus and bifidobacterium spp. lack this capability which is crucial to the electron transportation chain. They are thus unable to synthesize ATP by respiratory means and have to depend strictly on a fermentative mode of metabolism. Due to lack of participation of an external electron acceptor (oxygen in aerobic bacteria) in anaerobes, the organic substrate undergoes a balanced series of oxidative and reductive reactions mediated by pyridine nucleotides such as NADH.

Substrate level phosphorylation is the main source from which anaerobes derived its energy and in this sense regeneration of NAD+ from NAD is of critical importance. Growth rate of LAB on glucose is enhanced in the presence of O2 more so when catalase is present to eliminate the H2O2 formed. This observation indicates the rate at of ATP production from sugars is a growth-rate limiting factor in LAB cultures.110

Generally, production of bacteriocins in LAB cultures is a reflection of either a moderately or highly restrictive condition with regards to the availability of oxygen in the medium.109 The situation could be more complex if the facultative anaerobic nature of the LAB is taken into consideration. Effects of aeration and agitation on bacteriocin production are strain dependent (Table 7). Amiali et al.,111 claimed that nisin A production by L. lactis UL719 in fed batch fermentation was enhanced with aeration largely due to increase in cell-bound activity. On the other hand, aeration has been reported to be antagonistic to the production of nisin A,112 lactosin S,89 and LIQ-4 bacteriocin.113 Furthermore, the production of nisin by L. lactis requires anaerobiosis, or that “typical conditions” imply moderate agitation or absence of agitation.114–116 Cabo et al.,117 found, with the same strain, maximum production under clearly aerobic conditions. Production at the maximum biomass point quadrupled when the oxygen saturation percentage was increased from 50 to 100% saturation. Vázquez et al.,109 reported that under the extreme conditions the production of bacteriocin continued after the biomass reached the asymptotic value; this did not occur under intermediate conditions. The observation suggests that bacteriocin can change its metabolic character (primary or secondary) in response to the conditions of aeration. Reduced bacteriocin activity with increasing degree of agitation has been reported which could be due to chemical degradation and effects on gene expression.118 The growth of P. acidilactici Kp10 increased with increasing agitation speed from 100 to 800 rpm but production of bacteriocin was only increased up to 400 rpm and significantly reduced at agitation of above 500 rpm.103 It was also reported that a culture without agitation was preferred for Pediocin Iz3.13 production by P. pentosaceus Iz.3.13.119 Several pediocin-like bacteriocins contain methionine residues whose sulfur atom could be oxidized resulting in bacteriocin destabilisation in solution with the presence of oxygen.120

Table 7 Effect of aeration and agitation on bacteriocin production by various LAB strainsa
Bacteriocin Class Producer LAB strain Remarks/effect References
  Bacteriocin production
Without agitation/aeration With agitation/aeration
a NM: not mentioned.
Nisin BSA NM L. lactis subsp lactis BSA Without agitation Dussault et al.172
Skim milk (100%, v/v) 1024 (AU mL−1) 512 (AU mL−1)
MRS broth (100%, v/v) 6650 (AU mL−1) 4705 (AU mL−1)
Bacteriocin NM L. mesenteroides subsp. mesenteroides ATCC 8293 Without agitation Danial et al.173
0 rpm 24.5 (mm)  
100 rpm   23.75 (mm)
150 rpm   23.1 (mm)
200 rpm   21.25 (mm)
250 rpm   20.2 (mm)
Nisin I L. lactis (MTCC 440) Moderate agitation Mall et al.174
0 rpm NM  
100 rpm   121.88 (μg mL−1)
140 rpm   96.88 (μg mL−1)
180 rpm   <50 (μg mL−1)
Micro-agitation    
Plantaricin UG1 II L. plantarum UG1 0 rpm 5880 (AU mL−1)   Enan & Amri152
50 rpm   5900 (AU mL−1)
100 rpm   6200 (AU mL−1)
150 rpm   5600 (AU mL−1)
200 rpm   5440 (AU mL−1)
250 rpm   4880 (AU mL−1)
300 rpm   5000 (AU mL−1)
Pediocin II P. acidilactici ITV 26 No effect Caldeón-Santoyo et al.170
pH–temp. (°C)–agit. (rpm)    
5–30–0 0 (AU)  
5–30–200   0 (AU)
5–40–0 ∼3600 (AU)  
5–40–200   ∼3600 (AU)
7–30–0 ∼20 (AU)  
7–30–200   ∼20 (AU)
7–40–0 ∼2200 (AU)  
7–40–200   ∼2400 (AU)
6–35–0 ∼2400 (AU)  
6–35–100   ∼2700 (AU)
6–35–200   ∼2200 (AU)
Bacteriocin KKI 197 NM P. acidilactici KKU 197 No effect Arbsuwan et al.142
  ∼1600 (AU mL−1) ∼1600 (AU mL−1)
Pediocin Iz3.13 NM P. pentosaceus Iz.3.13 Without agitation Kobayashi et al.119
pH, 7 52.5 (AU mL−1) 30 (AU mL−1)
pH, 6 118.2 (AU mL−1) 40 (AU mL−1)
pH, 5 118.2 (AU mL−1) 52.5 (AU mL−1)
pH, 4.5 227.8 (AU mL−1) 67.5 (AU mL−1)
BLIS LA07 NM L. paracasei LA07 No effect Abbasiliasi et al.175
0 rpm – anaerobic 1.38 ± 0.04 (mm)  
100 rpm – anaerobic   1.56 ± 0.06 (mm)
200 rpm – anaerobic   1.48 ± 0.03 (mm)
0 rpm – aerobic 1.3 ± 0.02 (mm)  
100 rpm – aerobic   1.48 ± 0.03 (mm)
200 rpm – aerobic   1.48 ± 0.03 (mm)
BLIS Kp10 NM P. acidilactici Kp10 BLIS secretion was highly sensitive to agitation conditions and enhanced under moderate agitation speeds Abbasiliasi176
0 rpm NM  
100 rpm   6821.93 (AU mL−1)
250 rpm   6885.94 (AU mL−1)
400 rpm   12 222.10 (AU mL−1)
600 rpm   2953.20 (AU mL−1)
800 rpm   5057.25 (AU mL−1)
Lactocin S I L. sake L45 Markedly decreased Mortvedt-Abildgaard et al.89
  2000–3000 (BU mL−1) <200 (BU mL−1)
Amilovorin DCE 471 NM L. amylovorus DCE 471 Decreased De Vuyst et al.91
0% 3200 (AU mL−1)  
40%   3200 (AU mL−1)
80%   1600 (AU mL−1)
Nisin Z I L. lactis IO-1 Enhanced Chinachoti et al.177
Fermentation in flask
0 NM  
120 rpm   1680 (AU mL−1)
210 rpm   3720 (AU mL−1)
320 rpm   4040 (AU mL−1)
340 rpm   4270 (AU mL−1)
410 rpm   4180 (AU mL−1)
Fermentation in jar fermenter
0 NM  
100 rpm   3380 (AU mL−1)
200 rpm   3720 (AU mL−1)
320 rpm   3940 (AU mL−1)
540 rpm   3590 (AU mL−1)
800 rpm   3390 (AU mL−1)
1000 rpm   3410 (AU mL−1)
Nisin Z I L. lactis UL719 Dissolved oxygen concentration of 60% was optimal for production Amiali et al.111
  ∼5750 (AU mL−1) 40 960 (AU mL−1)
Bacteriocin LIQ-4 NM S. faecalis var. liquefaciens Maximum yields were produced under microaerophilic conditions Kuhnen et al.113
  NM NM
Nisin Z I L. lactis UL719 Aeration demonstrated a stimulatory effect on bacteriocin production Desjardins et al.146
Continuous free culture 1490 (IU mL−1) 2560 (IU mL−1)
Immobilized cell culture 1090 (IU mL−1) 2430 (IU mL−1)


Agitation is required to improve oxygen supply to the culture during the cultivation in stirred tank bioreactor. However, agitation is also related to shear rate effect. The degree of agitation has several effects on microbial growth which include cell wall disruption, changes in growth morphology, variations in the rates of growth and rates of formation of the desired product.121

Optimization process for improvement of bacteriocin production

Optimization of the fermentation process parameters is possible for the improvement of the production of bioactive peptides, which are of great interest for the design of functional foods and nutraceuticals. Although finding an optimal production process is a complex problem, but it is essential for the development of economically viable commercial bacteriocin production which leads to high yields and cost-effective process. High production yields are achieved by optimization of culture conditions or medium composition. The growth of bacteria and the accumulation of their metabolites are strongly influenced by the environment and medium compositions such as culture pH, carbon and nitrogen sources, growth factors, and minerals. Detection of these major factors and their optimization for biotechnological processes including multivariables are difficult.122 Optimization of fermentation process is time consuming, labor intensive, involves high cost and requires many experimental trials. With the introduction of new mutants and strains, these trials are necessity for industrial applications. The trials entail combinations of different factors and sequence of processes. The influence of medium components also need to be investigated to ensure that the growth conditions which produce the biomass and the physical state are best suited for product formation.

Two different systems, close-end and open-ended, are normally use in the optimization process. In the closed-end system optimization analysis is directed towards a fixed number and types of component parameters. Being a simple strategy many different possible components and/or parameters not given due consideration could be beneficial to the process. In the open-ended system analysis is on any number and types of components and/or parameters. This system makes no assumption which components/parameters are best suited for the process. The common practice adopted has always been to start off with the open-ended system; the best components/parameters are selected and subsequently followed by the close-ended system.

Specific requirements with reference to the production of bacteriocins have been reported.123–125 Bacteriocin titers can be modified by altering the cultivation conditions of the producing bacterium and certain combinations of influencing factors could be optimized to enhance bacteriocin production.126 With regards to the complexity of the factors within the food environments itself an in-depth knowledge of the interacting factors influencing the production of bacteriocin need to be understood for subsequent application in the optimization process. Most studies carried out to date claimed validation by statistical analysis and a combination of variables. However their values and limits were arbitrarily chosen based primarily on personal experience.103

Conventional methods in fermentation optimization require treating each factor separately which is laborious, incomplete and time consuming. If several factors are to be considered simultaneously their interactions are not discernible even for the dominant ones. These conventional approaches did not yield reliable results either. In this respect, experimental factorial design has been successfully applied for the optimization of various biomanufacturing processes which could also be used to investigate the interacting factors.103,127,128

Response surface methodology (RSM), a non-conventional approach is a collection of statistical and mathematical methods that could be used to quantify the interaction between different factors. This approach provides statistically reliable results with fewer number of experiments and are very useful for the development, improvement and optimization of the biomanufacturing processes.129–131 RSM is based on analysis of responses induced by specific factors. This methodology is also useful in determining the direction of subsequent experiment towards an optimum point where the equation can be determined from the optimization point of the response surface.103,132 This method was successfully applied in many areas of biotechnology, including some studies on bacteriocin production (Table 8).

Table 8 Statistical analysis for optimization of bacteriocin production by various LAB strainsa
Experimental and statistical method Parameters/variables optimized Producer LAB strain Bacteriocin/BLIS Class Bacteriocin production References
Before optimization After optimization
a One-variable-at-a-time (OVAT); one-factor-at-a-time method (OFAT); fractional factorial designs (FFD); response surface methodology (RSM); fractional factorial designs (FFD); central composite rotatable design (CCRD); artificial neural network-genetic algorithm (ANN-GA); NM: not mentioned.
FFD and RSM-CCD Medium composition (sucrose, soybean peptone, yeast extract, KH2PO4, NaCl, and MgSO4·7H2O) L. lactis ATCC11454 Nisin A I 1074 (IU mL−1) 2150 (IU mL−1) Li et al.178
Plackett–Burman design and CCD-RSM Culture condition and medium composition (glucose, yeast extract, tryptone, MnSO4, Tween 80, incubation period, K2HPO4 and pH) L. plantarum LR/14 Plantaricin LR14 I 80 (AU mL−1) 612 (AU mL−1) Tiwari & Srivastava179
RSM and ANN-GA Medium composition (glucose, peptone, yeast extract, KH2PO4, NaCl, MgSO4·7H2O) L. lactis Nisin I 2568.70 (IU mL−1) 21[thin space (1/6-em)]423 (IU mL−1) Guo et al.134
Plackett–Burman design and RSM Culture condition and medium composition (glucose, yeast extract, tryptone, triammonium citrate, sodium acetate, MgSO4, MnSO4, K2HPO4, pH, indubation period and Tween 80) E. faecium LR/6 Enterocin LR/6 NM 300 (AU mL−1) 606 (AU mL−1) Kumar & Srivastava180
OVAT and RSM-CCD Medium composition (carbon sources, nitrogen sources and NaCl concentration) E. faecium MC13 Bacteriocin MC13 NM 6400 (AU mL−1) 25[thin space (1/6-em)]600 (AU mL−1) Kanmani et al.181
Taguchi design Culture condition and medium composition (temperature, oxygen, yeast extract and peptone) E. faecium Enterocin A II 0 (AU mL−1) 3200 (AU mL−1) Mirhosseini & Emtiazi47
RSM-CCRD Culture condition temperature, pH and incubation time P. acidilactici MPK1 Bacteriocin MPK1 NM 8 (mm) 23 (mm) Patil et al.159
RSM-CCD Culture condition (pH, temperature, incubation period) Lactobacillus spp. (LBC216) Bacteriocin LBC216 NM 5200 (AU mL−1) 11[thin space (1/6-em)]200 (AU mL−1) Arokiyamary & Sivakumaar182
RSM-CCD Culture condition and media composition (temperature, initial pH, and sucrose concentration) E. faecium DB1 Bacteriocin DB1 NM 1280 (AU mL−1) 2560 (AU mL−1) Choi et al.183
OFAT and CCD-RSM Culture condition (temperature, pH, incubation time, inoculum size) L. casei LA-1 Bacteriocin LA-1 NM 2844 (AU mL−1) 4652.15 (AU mL−1) Kumar et al.184
FFD RSM-CCD Culture condition and medium composition (glucose, yeast extract, MgSO4, temperature and initial pH) L. brevis DF01 Bacteriocin DF01 NM 320 (AU mL−1) 1280 (AU mL−1) Lee et al.122
ANN Culture condition (temperature, inoculum size and agitation speed) P. acidilactici Kp10 BLIS NM 888.6 (AU mL−1) 5118.5 (AU mL−1) Abbasiliasi et al.103


Artificial neural network (ANN) on the other hand has recently emerged as one of the most efficient methods for empirical modeling and prediction in solving complex systems such as bacteriocin production. Several studies have demonstrated that the accuracy for the prediction of ANN models was far more superior compared to RSM using the same experimental design. ANN does not require prior specification of a suitable fitting function. ANN has the universal approximation capability which means that it can approximate almost all types of non-linear functions including quadratic functions. The ability of ANN to predict process characteristics with little prior knowledge is desirable which simplifies their implementation and increases their modeling potential. This property makes ANN a powerful and flexible tool that is well-suited for modeling biochemical processes.103,133–135 Several reports have demonstrated that the predictive accuracy of ANN model was superior to RSM model using the same experimental design.134,136–138 However, ANN is known as a black box modeling approach. The effect of factors on response values and the interaction effect among the factors cannot be studied by ANN model.

Several statistical methods such as response surface methodology (RSM) and artificial neural network (ANN) have been applied in the optimization of LAB fermentation for improvement of bacteriocin production (Table 8). Substantial improvement in bacteriocin production was achieved with optimal medium compositions and/or culture conditions as optimized using RSM and ANN.

Conclusions

Production of bacteriocin by LAB is greatly influenced by medium formulation and culture conditions. Growth of LAB and bacteriocins production is not only affected by the type of carbon (C) and nitrogen (N) sources but also by their concentrations and ratios. The presence of surfactant in the culture medium also improved the production of bacteriocins by some LAB strains. Besides the culture pH, aeration and oxygen supply also exert significant effect on growth of some LAB strains and bacteriocin production. Statistical methods such as RSM and ANN have been used successfully to optimize the culture condition and medium formulations for improvement of growth of LAB and bacteriocin production.

References

  1. D. Cizeikiene, G. Juodeikiene, A. Paskevicius and E. Bartkiene, Food Control, 2013, 31, 539–545 CrossRef CAS.
  2. A. Digaitiene, A. S. Hansen, G. Juodeikiene, D. Eidukonyte and J. Josephsen, Eur. J. Appl. Microbiol., 2012, 112, 732–742 CrossRef CAS PubMed.
  3. E. Bartkiene, V. Bartkevics, E. Mozuriene, V. Krungleviciute, A. Novoslavskij, A. Santini, I. Rozentale, G. Juodeikiene and D. Cizeikiene, Food Control, 2017, 71, 285–292 CrossRef CAS.
  4. E. Kuley, F. Ozogul, Y. Ozogul and I. Akyol, Food Chem., 2011, 129, 1211–1216 CrossRef CAS PubMed.
  5. E. Bartkiene, V. Bartkevics, V. Starkute, D. Zadeike and G. Juodeikiene, Front. Plant Sci., 2016, 7, 951–954 Search PubMed.
  6. S. Abbasiliasi, J. S. Tan, T. A. T. Ibrahim, R. N. Ramanan, F. Vakhshiteh, S. Mustafa, T. C. Ling, R. A. Rahim and A. B. Ariff, BMC Microbiol., 2012, 1, 260 CrossRef PubMed.
  7. J. Slapkauskaite, D. Sekmokiene, A. Kabasinskiene, E. Bartkiene, G. Juodeikiene and A. Sarkinas, CyTA--J. Food, 2016, 14, 482–488 CAS.
  8. S. Elayaraja, N. Annamalai, P. Mayavu and T. Balasubramanian, Asian Pac. J. Trop. Biomed., 2014, 4, 305–311 CrossRef PubMed.
  9. S.-C. Yang, C.-H. Lin, C. T. Sung and J.-Y. Fang, Front. Aquat. Microbiol., 2014, 5, 1–10 Search PubMed.
  10. C. Bramsiepe, S. Sieversa, T. Seiferta, G. D. Stefanidisb, D. G. Vlachosc, H. Schnitzerd, B. Mustere, C. Brunnere, J. P. M. Sandersf, M. E. Bruinsf and G. Schembeckera, Chem. Eng. Process., 2012, 51, 32–52 CrossRef CAS.
  11. G. Kaur and I. Roy, Chem. Biochem. Eng. Q., 2015, 29, 157–172 CrossRef CAS.
  12. M. V. Leal-Sánchez, R. Jiménez-Díaz, A. Maldonado-Barragán, A. Garrido-Fernández and J. L. Ruiz-Barba, Appl. Environ. Microbiol., 2002, 68, 4465–4471 CrossRef.
  13. W. Lv, X. Zhang and W. Cong, Appl. Microbiol. Biotechnol., 2005, 68, 322–326 CrossRef PubMed.
  14. F. Leroy and L. De Vuyst, Appl. Environ. Microbiol., 1999, 3, 974–981 Search PubMed.
  15. S. H. Al-Zahrani and F. S. Al-Zahrani, World Appl. Sci. J., 2006, 1, 135–143 Search PubMed.
  16. H. Abriouel, E. Valdivia, M. Mart nez-Bueno, M. Maqueda and A. Gallvez, J. Microbiol. Methods, 2003, 55, 599–605 CrossRef CAS PubMed.
  17. J. C. J. Coetzee, Master of Science in Engineering, University of Stellenbosch, 2007.
  18. E. Parente and A. Ricciardi, Appl. Microbiol. Biotechnol., 1999, 52, 628–638 CrossRef CAS PubMed.
  19. A. Aktypis, M. Tychowski, G. Kalantzopoulos and G. Aggelis, Antonie van Leeuwenhoek, 2007, 92, 207–220 CrossRef CAS PubMed.
  20. F. Leroy, S. Vankrunkelsven, J. De Greef and L. De Vuyst, Int. J. Food Microbiol., 2003, 83, 27–38 CrossRef CAS PubMed.
  21. C. Li, J. Bai, Z. Cai and F. Ouyang, J. Biotechnol., 2002, 1, 27–34 CrossRef.
  22. M. D. Altaf, B. J. Naveena and G. Reddy, Bioresour. Technol., 2007, 98, 498–503 CrossRef CAS PubMed.
  23. S. A. Hayek and S. A. Ibrahim, Food Nutr. Sci., 2013, 4, 73–87 CrossRef CAS.
  24. M. Mataragas, E. H. Drosinos, E. Tsakalidou and J. Metaxopoulos, Antonie van Leeuwenhoek, 2004, 85, 191–198 CrossRef CAS PubMed.
  25. B. Rivas, A. B. Moldes, J. M. Dominguez and J. C. Parajó, Int. J. Food Microbiol., 2004, 97, 93–98 CrossRef CAS PubMed.
  26. N. P. Guerra, A. T. Agrasar, C. L. Macias and L. Pastrana, Process Biochem., 2005, 40, 1071–1083 CrossRef CAS.
  27. T. Zendo, N. Eungruttanagorn, S. Fujioka, Y. Tashiro, K. Nomura, Y. Sera, G. Kobayashi, J. Nakayama, A. Ishizaki and K. Sonomoto, J. Appl. Microbiol., 2005, 99, 1181–1190 CrossRef CAS PubMed.
  28. C. Herranz, J. Martinez, J. Rodriguez, P. Hernandez and L. M. Cintas, Appl. Microbiol. Biotechnol., 2001, 56, 378–383 CrossRef CAS PubMed.
  29. J. Verluyten, F. Leroy and L. De Vuyst, Appl. Environ. Microbiol., 2004a, 70, 5081–5088 Search PubMed.
  30. M. Mataragas, J. Metaxopoulos, M. Galiotou and E. H. Drosinos, Meat Sci., 2003, 64, 265–271 CrossRef CAS PubMed.
  31. F. Cladera-Olivera, G. R. Caron and A. Brandelli, Biochem. Eng. J., 2004, 21, 53–58 CrossRef CAS.
  32. M.-H. Kim, Y.-J. Kong, H. Baek and H.-H. Hyun, J. Biotechnol., 2006, 121, 54–61 CrossRef CAS PubMed.
  33. A. S. Motta and A. Brandelli, World J. Microbiol. Biotechnol., 2008, 24, 641–646 CrossRef CAS.
  34. G. Medaglia and S. Panke, Appl. Microbiol. Biotechnol., 2010, 87, 145–157 CrossRef CAS PubMed.
  35. E. V. Pingitore, E. M. Hebert, F. Sesma and M. E. Nader-Macias, Can. J. Microbiol., 2009, 55, 304–310 CrossRef CAS PubMed.
  36. F. M. Saguir and M. C. M. de Nadra, Curr. Microbiol., 2007, 54, 414–418 CrossRef CAS PubMed.
  37. N. Terrade, R. Noel, R. Couillaud and R. M. de Orduna, Food Res. Int., 2009, 42, 363–367 CrossRef CAS.
  38. H. Khan, S. H. Flint and P.-L. Yu, JAM, 2012, 114, 1092–1102 Search PubMed.
  39. B. Mandal, R. Chowdhury, C. Bhattacharjee and R. Haque, Int. J. Biomed. Res., 2013, 6, 39–51 Search PubMed.
  40. J. A. Vazquez, M. P. Gonzalez and M. A. Murano, J. Biotechnol., 2004, 112, 299–311 CrossRef CAS PubMed.
  41. S. F. Deraz, G. F. El-Fawal, S. A. Abd-Ellatif and A. A. Khalil, Indian J. Microbiol., 2011, 51, 171–175 CrossRef CAS PubMed.
  42. H. Oh, Y.-J. Wee, J.-S. Yun, H. S. Ho, S. Jung and H.-W. Ryu, Bioresour. Technol., 2005, 96, 1492–1498 CrossRef CAS PubMed.
  43. Y. Wee, J. Kim and H. Ryu, Food Technol. Biotechnol., 2006, 44, 163 CAS.
  44. A. F. Jozala, D. P. Silva, A. A. Vicente, J. A. Teixeira, A. Pessoa Junior and T. C. V. Penna, Afr. J. Biotechnol., 2011, 10, 14920–14925 CAS.
  45. S. H. Flôres and R. M. Alegre, Biotechnol. Appl. Biochem., 2001, 34, 103–107 CrossRef.
  46. X. Liu, Y.-K. Chung, S.-T. Yang and A. E. Yousef, Process Biochem., 2005, 40, 13–24 CrossRef CAS.
  47. M. Mirhosseini and G. Emtiazi, World Appl. Sci. J., 2011, 14, 1493–1499 CAS.
  48. E. Bartkiene, I. IJakobsone, G. Juodeikiene, D. Vidmantiene, I. Pugajeva and V. Bartkevics, Food Control, 2013, 30, 35–40 CrossRef CAS.
  49. J. A. Vazquez, M. P. Gonzalez and M. A. Murado, Bioresour. Technol., 2006, 97, 605–613 CrossRef CAS PubMed.
  50. R. K. I. Anderson and K. Jayaraman, Chem. Biochem. Eng. Q., 2003, 17, 225–232 CAS.
  51. A. Delgado, N. A. Lopez, D. Brito, C. Peres, P. Fevereiro and F. A. Garrido, J. Biotechnol., 2007, 130, 193–201 CrossRef CAS PubMed.
  52. S. A. Al-Wendawi and A. A. Al-Saady, Medical journal of Babylon, 2012, 9, 386–396 Search PubMed.
  53. H. Matsusaki, N. Endo, K. Sonomoto and A. Ishizaki, Appl. Microbiol. Biotechnol., 1996, 45, 36–40 CrossRef CAS PubMed.
  54. R. W. Jack and J. R. Tagg, J. Med. Microbiol., 1992, 36, 132–138 CrossRef CAS PubMed.
  55. S. Even, N. D. Lindley and M. Cocaign-Bousquet, J. Bacteriol., 2001, 183, 3817–3824 CrossRef CAS PubMed.
  56. M. Papagianni, N. Avramidis and G. Filiousis, Enzyme Microb. Technol., 2007, 40, 1557–1563 CrossRef CAS.
  57. J. B. Russell and R. L. Baldwin, Appl. Environ. Microbiol., 1978, 37, 531–536 Search PubMed.
  58. S. A. Martin and J. B. Russell, Appl. Environ. Microbiol., 1987, 53, 2388–2393 CAS.
  59. J. B. Russell, Appl. Environ. Microbiol., 1990, 56, 3304–3307 CAS.
  60. A. P. Dominguez, D. Bizani, F. Cladera-olivera and A. Brandilli, Biochem. Eng. J., 2007, 35, 238–243 CrossRef CAS.
  61. Y. Ohkouchi and Y. Inoue, Bioresour. Technol., 2006, 97, 1554–1562 CrossRef CAS PubMed.
  62. S. Sanchez and A. L. Demain, Enzyme Microb. Technol., 2002, 31, 895–906 CrossRef CAS.
  63. S. Dimov, S. Peykov, D. Raykova and P. Ivanova, Trakia Journal of Sciences, 2008, 6, 54–59 Search PubMed.
  64. N. P. Guerra, M. L. Rua and L. Pastrana, Int. J. Food Microbiol., 2001, 70, 267–281 CrossRef CAS PubMed.
  65. A. H. de Rojas, B. Martinez, J. E. Suárez and A. Rodríguez, Appl. Microbiol. Biotechnol., 2004, 66, 48–52 CrossRef PubMed.
  66. P. Pattnaik, S. Grover and V. K. Batish, Microbiol. Res., 2005, 160, 213–218 CrossRef CAS PubMed.
  67. M. Ferchichi, E. Crabbe, W. Hintz, G.-H. Gil and A. Almadidy, World J. Microbiol. Biotechnol., 2005, 21, 855–862 CrossRef CAS.
  68. M. S. Kalil, H. S. Alshiyab and W. M. Wan Yusoff, Am. J. Biochem. Biotechnol., 2008, 4, 393–401 CrossRef CAS.
  69. M. K. Somda, A. Savadogo, N. Barro, P. Thonart and A. S. Traore, Asian J. Ind. Eng., 2011, 3, 29–33 CrossRef CAS.
  70. J. A. Vázquez, M. L. Cabo, M. P. Gonzalez and M. A. Murado, Enzyme Microb. Technol., 2004, 34, 319–325 CrossRef.
  71. C.-I. Cheigh, H.-J. Choi, H. Park, S.-B. Kim, M.-C. Kook, T.-S. Kim, J. Kwan Hwang and Y.-R. Pyun, J. Biotechnol., 2002, 95, 225–235 CrossRef CAS PubMed.
  72. A. Pandey, S. Negi and C. R. Soccol, Current developments in biotechnology and bioengineering: Production, isolation and purification of industrial products, Elsevier, Netherlands, 2016 Search PubMed.
  73. F. Davami, L. Baldi, Y. Rajendra and F. M. Wurm, International Journal of Mol Cell Med Summer, 2014, 3, 146–156 CAS.
  74. J. A. Vázquez and M. A. Murado, J. Chem. Technol. Biotechnol., 2008, 1, 91–96 CrossRef.
  75. I. M. Aasen, T. Møretrø, T. Katla, L. Axelsson and I. Storrø, Appl. Microbiol. Biotechnol., 2000, 53, 159–166 CrossRef CAS PubMed.
  76. T. Lechiancole, A. Ricciardi and E. Parente, Ann. Microbiol., 2002, 52, 257–274 Search PubMed.
  77. Y. Sawatari, T. Hirano and A. Yokota, J. Gen. Appl. Microbiol., 2006, 52, 349–356 CrossRef CAS PubMed.
  78. M. C. M. de Nadra, Communicating current research and educational topics and trends in applied microbiology, 2007, pp. 500–510 Search PubMed.
  79. A. Cheikhyoussef, N. Pogori, W. Chen and H. Zhang, Int. J. Food Microbiol., 2008, 125, 215–222 CrossRef CAS PubMed.
  80. F. A. C. Martinez, E. M. Balciunas, A. Converti, P. D. Cotter and R. P. de Souza Oliveira, Biotechnol. Adv., 2013, 31, 482–488 CrossRef CAS PubMed.
  81. M. I. Tudor, Master of science, University of the Philippines, 2010.
  82. J. K. Jenkins and P. D. Courtney, Can. J. Microbiol., 2003, 49, 51–57 CrossRef CAS PubMed.
  83. J. Zhang, Y. Zhang, S.-N. Liu, Y. Han and Z.-J. Zhou, Appl. Biochem. Biotechnol., 2012, 166, 1388–1400 CrossRef CAS PubMed.
  84. T. Møretrø, I. M. Aasen, I. Storrø and L. Axelsson, J. Appl. Microbiol., 2000, 88, 536–545 CrossRef.
  85. A. R. Sarika, A. P. Lipton and M. S. Aishwarya, Adv. J. Food Sci. Technol., 2010, 2, 291–297 CAS.
  86. S. A. Naz and S. A. Rasool, Pak. J. Bot., 2013, 45, 261–267 Search PubMed.
  87. P. S. Malheiros, V. Sant’Anna, S. D. Todorov and B. D. G. M. Franco, Braz. J. Microbiol., 2015, 46, 825–834 CAS.
  88. M. P. Castro, N. Z. Palavecino, C. O. Herman, O. A. Garro and C. A. Campo, Meat Sci., 2011, 87, 321–329 CrossRef CAS PubMed.
  89. C. I. Mortvedt-Abildgaard, J. Nissen-Meyer, B. Jelle, B. Grenov, M. Skaugen and I. F. Nes, Appl. Environ. Microbiol., 1995, 61, 175–179 CAS.
  90. E. Q. Khay, M. Idaomar, L. M. P. Castro, P. F. Bernanrdez, N. SkaliSenhaji and J. Abrini, Afr. J. Biotechnol., 2011, 10, 10447–11045 CrossRef CAS.
  91. L. De Vuyst, R. Callewaert and K. Crabbe, Microbiol, 1996, 4, 817–827 CrossRef.
  92. S. D. Todorov and L. M. T. Dicks, Microbiol. Res., 2006, 2, 102–108 CrossRef PubMed.
  93. J. Li, D. Song and Q. Gu, Weishengwu Xuebao, 2008, 48, 818–823 CAS.
  94. E. Parente and A. Ricciardi, Lett. Appl. Microbiol., 1994, 19, 12–15 CrossRef CAS PubMed.
  95. G. Rajaram, P. Manivasagan, B. Thilagavathi and A. Saravanakumar, Adv. J. Food Sci. Technol., 2010, 2, 138–144 CAS.
  96. A. E. Abo-Amer, Ann. Microbiol., 2011, 445–452 CrossRef CAS.
  97. D. B. Diep and I. F. Nes, Curr. Drug Targets, 2002, 3, 107–122 CrossRef CAS PubMed.
  98. N. Gautam and N. Sharma, Indian J. Microbiol., 2009, 49, 204–211 CrossRef CAS PubMed.
  99. J. Tomás, E. Bru, B. Wiese, A. A. P. de Ruiz Holgado and M. E. Nader-Macías, J. Appl. Microbiol., 2002, 93, 714–724 CrossRef.
  100. S.-M. Lim, Food Sci. Biotechnol., 2010, 19, 793–802 CrossRef CAS.
  101. W. Messens, J. Verluyten, F. Leroy and L. De Vuyst, Int. J. Food Microbiol., 2003, 81, 41–52 CrossRef CAS PubMed.
  102. E. Bartkiene, V. Krungleviciute, G. Juodeikiene, D. Vidmantiene and Z. Maknickiene, J. Sci. Food Agric., 2015, 95, 1336–1342 CrossRef CAS PubMed.
  103. S. Abbasiliasi, J. S. Tan, S. Kadkhodaei, R. Nelofer, T. A. Tengku Ibrahim, S. Mustafaa and A. B. Ariff, RSC Adv., 2016, 6, 6342–6349 RSC.
  104. M. Zamfir, R. Callewaert, P. C. Cornea and L. Vuyst, FEMS Microbiol. Lett., 2000, 190, 305–308 CrossRef CAS PubMed.
  105. P. Iyapparaj, T. Maruthiah, R. Ramasubburayan, S. Prakash, C. Kumar, G. Immanuel and P. Arunachalam, Aquat. Biosyst., 2013, 9, 1–10 CrossRef PubMed.
  106. D. Klupsaite, G. Juodeikiene, D. Zadeike, E. Bartkiene, Z. Maknickiene and G. Liutkute, LWT--Food Sci. Technol., 2017, 75, 180–186 CrossRef CAS.
  107. E. H. Drosinos, M. Mataragas and J. Metaxopoulos, Meat Sci, 2006, 74, 690–696 CrossRef CAS PubMed.
  108. E. H. Drosinos, M. Mataragas, P. Nasis, M. Galiotou and J. Metaxopoulos, J. Appl. Microbiol., 2005, 99, 1314–1323 CrossRef CAS PubMed.
  109. J. A. Vázquez, J. Mirón, M. P. González and M. A. Murado, Appl. Biochem. Biotechnol., 2005, 127, 111–124 CrossRef.
  110. M. Higuchi, Y. Yamamoto and Y. Kamio, J. Biosci. Bioeng., 2000, 90, 484–493 CrossRef CAS PubMed.
  111. M. N. Amiali, C. Lacroix and R. E. Simard, World J. Microbiol. Biotechnol., 1998, 14, 887–894 CrossRef CAS.
  112. A. Hurst, Adv. Appl. Microbiol., 1981, 27, 85–123 CAS.
  113. E. Kuhnen, H.-G. Sahl and H. Brandis, J. Gen. Microbiol., 1985, 131, 1925–1932 CAS.
  114. A. Hirsch, J. Gen. Microbiol., 1951, 5, 208–221 CrossRef CAS PubMed.
  115. L. De Vuyst, Bacteriocins of Lactic Acid Bacteria: Microbiology, Genetics and Applications, Blackie Academic and Professional, London, UK, 1994 Search PubMed.
  116. W. S. Kim, R. J. Hall and N. W. Dunn, Appl. Microbiol. Biotechnol., 1998, 50, 429–433 CrossRef CAS.
  117. M. L. Cabo, M. A. Murado, M. González and L. Pastoriza, Enzyme Microb. Technol., 2001, 29, 264–273 CrossRef CAS.
  118. E. Parente, C. Brienza, A. Ricciardi and G. Addario, J. Ind. Microbiol. Biotechnol., 1997, 18, 62–67 CrossRef CAS PubMed.
  119. T. Kobayashi, K. Yamazaki, D. K. Bagenda and Y. Kawai, Bull. Fish. Sci., 2010, 60, 5–12 CAS.
  120. L. Johnsen, G. Fimland, V. Eijsink and J. Nissen-Meyer, Appl. Environ. Microbiol., 2000, 66, 4798–4802 CrossRef CAS PubMed.
  121. L. A. Purwanto, D. Ibrahim and H. Sudrajat, World J. Chem., 2009, 4, 34–38 CAS.
  122. Y. M. Lee, J. S. Kim and W. J. Kim, Food Sci. Biotechnol., 2012, 21, 653–659 CrossRef CAS.
  123. A. S. Motta and A. Brandelli, Appl. Microbiol. Biotechnol., 2003, 2–3, 163–167 CrossRef PubMed.
  124. M. P. Castro, N. Z. Palavecino, C. Herman, O. A. Garro and C. A. Campos, Meat Sci, 2011, 4, 321–329 CrossRef PubMed.
  125. F. Leroy and L. De Vuyst, Appl. Environ. Microbiol., 2003, 69, 1093–1099 CrossRef CAS PubMed.
  126. E. Tome, V. L. Pereira, C. I. Lopes, P. A. Gibbs and P. C. Teixeira, Food Control, 2008, 5, 535–543 CrossRef.
  127. K. Adinarayana and P. Ellaiah, Int J Pharm Pharm Sci, 2002, 3, 281–287 Search PubMed.
  128. S. Puri, Q. K. Beg and R. Gupta, Curr. Microbiol., 2002, 4, 286–290 CrossRef PubMed.
  129. S. L. Liew, A. B. Ariff, A. R. Raha and Y. W. Ho, Int J Food Microbiol, 2005, 2, 137–142 CrossRef PubMed.
  130. S. K. Das and A. K. Sabat, Electron. J. Geotech. Eng., 2008, 13, 1–13 Search PubMed.
  131. R. Nicolai and R. Dekker, Qual Technol Quan Manag, 2009, 1–28 Search PubMed.
  132. S. Usmiati and T. Marwati, Indonesian Journal of Agricultural Science, 2009, 2, 82–92 Search PubMed.
  133. S. Youssefi, Z. Emam-Djomeh and S. M. Mousavi, Drying Technol., 2009, 7–8, 910–917 CrossRef.
  134. W. L. Guo, Y. B. Zhang, J. H. Lu, L. Y. Jiang, L. R. Teng, Y. Wang and Y. C. Liang, Afr. J. Biotechnol., 2010, 38, 6264–6272 Search PubMed.
  135. J. S. Tan, R. N. Ramanan, T. C. Ling, M. Shuhaimi and A. B. Ariff, Minerva Biotecnologica, 2011, 3, 63 Search PubMed.
  136. W. Peng, J. Zhong, J. Yang, Y. Ren, T. Xu, S. Xiao, J. Zhou and H. Tan, Microb. Cell Fact., 2014, 13, 54 CrossRef PubMed.
  137. A. T. Caldeira, J. M. Arteiro, J. C. Roseiro, J. Neves and H. Vicente, Bioresour. Technol., 2011, 102, 1496–1502 CrossRef PubMed.
  138. K. M. Desai, S. A. Survase, P. S. Saudagar, S. S. Lele and R. S. Singhal, Biochem. Eng. J., 2008, 3, 266–273 CrossRef.
  139. P. Wilaipun, T. Zendo, M. Sangjindavong, S. Nitisinprasert, V. Leelawatcharamas, J. Nakayama and K. Sonomoto, Kasetsart J., 2002, 36, 268–277 CAS.
  140. S. D. Todorov and L. M. T. Dicks, J. Basic Microbiol., 2004, 44, 305–316 CrossRef CAS PubMed.
  141. S. D. Todorov and L. M. T. Dicks, World J. Microbiol. Biotechnol., 2005, 21, 1585–1590 CrossRef CAS.
  142. N. Arbsuwan, J. Apiraksakorn, P. Laopaiboon and V. Leelavatcharamas, Presented in part at the 2nd international conference on fermentation technology for value added agricultural products, Khon Kaen, Thailand, 2007 Search PubMed.
  143. V. Mollendorff and J. Wilhelm, Master of Science, Stellenbosch University, 2008.
  144. M. Papagianni and S. Anastasiadou, Microb. Cell Fact., 2009, 8, 3 CrossRef PubMed.
  145. E. O. Khay, L. M. P. Castro, P. F. Bernardez, N. S. Senhaji, M. Idaomar and J. Abrini, Afr. J. Biotechnol., 2012, 11, 659–665 CAS.
  146. P. Desjardins, J. Meghrous and C. Lacroix, Int. Dairy J., 2001, 11, 943–951 CrossRef CAS.
  147. N. P. Guerra and L. P. Castro, Biotechnol. Appl. Biochem., 2002, 36, 119–125 CrossRef CAS.
  148. N. P. Guerra and L. Pastrana, Lett. Appl. Microbiol., 2003, 37, 51–55 CrossRef CAS PubMed.
  149. J. A. Vázquez, M. P. Gonzalez and M. A. Murado, Electron. J. Environ., Agric. Food Chem., 2004c, 3, 648–657 Search PubMed.
  150. F. Crispie, D. Twomey, J. Flynn, C. Hill, P. Ross and W. Meaney, J. Dairy Sci., 2005, 72, 159–167 CAS.
  151. C. Liu, Y. Liu and S. Chen, Appl. Biochem. Biotechnol., 2005, 121–124, 475–483 CrossRef CAS PubMed.
  152. G. Enan and A. A. A. Amri, J. Food, Agric. Environ., 2006, 4, 85–88 CAS.
  153. Y. Furuta, N. Maruoka, A. Nakamura, T. Omori and K. Sonomoto, J. Biosci. Bioeng., 2008, 106, 393–397 CrossRef CAS PubMed.
  154. S. Y. Gonzalez-Toledo, J. Dominguez-Dominguez, B. E. Garcia-Almendarez, L. A. Prado-Barragán and C. Regalado-González, J. Food Sci., 2010, 75, 347–353 CrossRef PubMed.
  155. S. D. Todorov and L. M. T. Dicks, Food Technol. Biotechnol., 2005, 43, 165–173 CAS.
  156. J. Tomás, M. Silvina, E. Bru and M. E. Nader-Macias, J. Chem. Technol. Biotechnol., 2010, 85, 91–99 CrossRef.
  157. A. Aguilar-Galvez, S. Guillermo, R. Dubois-Dauphin, D. Campos and P. Thonart, Ann. Microbiol., 2011, 61, 955–964 CrossRef CAS.
  158. B. J. Ramachandran, V. Srivathsan, J. Sivakami, M. Harish, D. J. Ravi kumar and M. kumar, J. Acad. Ind. Res., 2012, 1, 306–309 Search PubMed.
  159. M. M. Patil, K. V. Ramana and A. S. Bawa, J. Food Process. Preserv., 2013, 37, 179–187 CrossRef.
  160. H. A. Nel, R. Bauer, E. J. Vandamme and L. M. T. Dicks, J. Appl. Microbiol., 2001, 91, 1131–1138 CrossRef CAS PubMed.
  161. N. Xiraphi, M. Georgalaki, G. Van Driessche, B. Devreese, J. Van Beeumen, E. Tsakalidou, J. Metaxopoulos and E. H. Drosinos, Antonie van Leeuwenhoek, 2006, 89, 19–26 CrossRef CAS PubMed.
  162. S. D. Todorov and L. M. T. Dicks, Enzyme Microb. Technol., 2005, 36, 318–326 CrossRef CAS.
  163. S. D. Todorov and L. M. T. Dicks, Process Biochem., 2006, 41, 11–19 CrossRef CAS.
  164. G. M. Vignolo, M. N. de Kairuz, A. A. P. de Ruiz Holgado and G. Oliver, J. Appl. Microbiol., 2008, 78, 5–10 Search PubMed.
  165. J. W. von Mollendorff, S. D. Todorov and L. M. T. Dicks, Trakia Journal of Sciences, 2009, 7, 22–23 Search PubMed.
  166. V. Trinetta, M. Rollini and M. Manzoni, Process Biochem., 2008, 43, 1275–1280 CrossRef CAS.
  167. S. D. Todorov, R. P. S. Oliveirab and M. Vaz-Velhoc, Chem. Eng., 2010, 27, 283–288 Search PubMed.
  168. N. Chanprasert and P. Gasaluck, Asian Journal Of Food & Agro-industry, 2011, 4, 54–64 Search PubMed.
  169. H. Mahrous, A. Mohamed, M. A. El-Mongy, A. I. El-Batal and H. A. Hamza, Food Nutr., 2013, 4, 342–356 CrossRef.
  170. M. Calderón-Santoyo, P. G. Mendoza-Garcia, M. A. Garcia-Alvarado and B. I. Escudero-Abarca, J. Ind. Microbiol. Biotechnol., 2001, 26, 191–195 CrossRef.
  171. M. A. Yusuf and T. H. A. Tengku Abdul Hamid, IOSR J. Pharm., 2012, 2, 49–59 Search PubMed.
  172. D. Dussault, K. D. Vu and M. Lacroix, Probiotics Antimicrob. Proteins, 2016, 8, 170–175 CrossRef CAS PubMed.
  173. E. N. Danial, S. H. M. Al-Zahrani and Z. A. M. Al-Mahmoudi, J. Appl. Pharm. Sci., 2016, 6, 020–027 CrossRef.
  174. P. Mall, B. K. Mohanty, D. B. Patankar, R. Mody and R. Tunga, Braz. Arch. Biol. Technol., 2010, 53, 203–209 CrossRef CAS.
  175. S. Abbasiliasi, R. N. Ramanan, T. A. T. Ibrahim, S. Mustafa, R. Mohamad, H. H. M. Daud and A. B. Ariff, Biotechnol. Biotechnol. Equip., 2011, 25, 2652–2657 CrossRef CAS.
  176. S. Abbasiliasi, Doctor of Philosophy, Universiti Putra Malaysia, 2014.
  177. N. Chinachoti, H. Matsusaki, K. Sonomoto and A. Ishizaki, J. Fac. Agric., Hokkaido Univ., 1997, 42, 171–181 CAS.
  178. C. Li, J. Bai, W. Li, Z. Cai and F. Ouyang, Biotechnol. Prog., 2001, 2, 366–368 CrossRef PubMed.
  179. S. K. Tiwari and S. Srivastava, Food Biotechnol., 2008, 22, 64–77 CrossRef CAS.
  180. M. Kumar and S. Srivastava, Trakia Journal of Sciences, 2010, 8, 12–21 Search PubMed.
  181. P. Kanmani, R. S. Kumar, N. Yuvaraj, K. A. Paari, V. Pattukumar and V. Arul, Prep. Biochem. Biotechnol., 2011, 41, 40–52 CrossRef CAS PubMed.
  182. A. Arokiyamary and P. K. Sivakumaar, Int. J. Biomed. Res., 2011, 568–574 CAS.
  183. H.-Y. Choi, J.-S. Kim and W.-J. Kim, Korean J. Food Sci. Technol., 2011, 31, 176–182 CrossRef.
  184. M. Kumar, A. K. Jain, M. Ghosh and A. Ganguli, Biotechnol. Bioprocess Eng., 2012, 17, 606–616 CrossRef CAS.

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