Samira Moradia,
Seyed Hadi Razavi*a,
Seyyed Mohammad Mousavib and
Seyed Mohammad Taghi Gharibzahedia
aBioprocess Engineering Laboratory (BPEL), Department of Food Science, Engineering & Technology, Faculty of Agricultural Engineering and Technology, University of Tehran, P.O. Box 4111, Karaj 31587-77871, Iran. E-mail: srazavi@ut.ac.ir; Fax: +98 26 3224 9453; Tel: +98 26 3224 8804
bBiotechnology Group, Chemical Engineering Department, Faculty of Engineering, Tarbiat Modares University, Tehran, Iran
First published on 14th January 2015
A new aerobic mesophilic bacterium was isolated from the southern coastal waters of the Caspian Sea which substantially produced an extracellular lipase in solid-state fermentation using milled coriander seeds (MCS) as support substrate. This bacterium was identified as a strain of genus Acinetobacter based on morphological and biochemical characterization and 16S rRNA gene sequence. The various medium components and culture parameters to achieve a more cost effective and economically viable bioprocess were screened and optimized using the Plackett–Burman and central composite designs. The highest lipase activity (20
480.2 U g−1) was achieved at optimum levels of predominant factors of MCS/yeast extract (4.0 w/w), olive oil concentration (30 g L−1), moisture content (65.0%), and agitation rate (180.0 rpm). The enzyme with molecular weight of 46 kDa was purified 26.9-fold to homogeneity by ammonium sulfate precipitation and phenyl-Sepharose hydrophobic interaction chromatography. The functional groups of the lipase were also assigned using Fourier transform-infrared spectroscopy.
Although submerged liquid fermentations (SLFs) nowadays are the most important of commercial bioprocesses, the lipase production using solid state fermentations (SSFs) due to the significant reduction of final product cost by decreasing downstream processes is recently considered.6 Microbes in the SSF process are grown on a porous solid substrate in the absence of free water. Large number of agricultural/food residues have been used as suitable substrates for SSF. The growth of cells is provided by the water and nutrient absorbed on the surface of the solid support and within the support matrix.7
In the present study, the novel extracellular lipases from various natural sources such as Caspian Sea water (CSW), extract olive (EO), linseed cake (LC), soy bean cake (SBC), cotton seed cake (CSC), fat milk (FM), olive oil pressing waste (OPW) and dairy industrial effluent (DIE) were isolated and partially purified. The cheap carbon substrates including milled seeds of grape, pomegranate and coriander were also analyzed to achieve the best conditions for batch fermentation process. Response surface methodology (RSM) was then applied to determine the optimal culture media for lipase SSF-production with the highest activity using the best bacteria isolate. RSM development for this bioprocess can result in improved product yields, reduced process variability, and closer conformance of the output responses to nominal and target requirements, thus reducing the development time and the overall costs.8,9
A stable oil-in-water emulsion with 20% w/w gum arabic was prepared to use olive oil (15% w/w) in the culture medium. The coarse emulsion was produced by Ultra-Turrax (IKA T25 Digital, Germany) at 24
000 rpm for 2.5 min and, further emulsification was performed using a 20 kHz-ultrasounic homogenizer (UP200S, Hielscher Ultrasonics GmbH, Teltow, Germany) equipped to a water bath (45 °C) at a total nominal output power of 45 W for 3 min.8 Each sterilized flask was inoculated with the constant amount of the active isolate (10%) and then incubated at 37 °C for 72 h. Activation of the stored bacterium by placing at ambient laboratory conditions (in a sterile environment under the hood) was started. When it was a little freezing outside, amount of the liquid into microtube using sampler tip was transferred to the culture medium containing 10 g L−1 yeast extract, 3 g L−1 sodium chloride and 25 g L−1 EOO (pH = 6.5) and incubated at 37 °C for 18 h (Fig. 1). According to the RSM design, the used ranges for ratio of solid substrate to yeast extract, olive oil, moisture content (MC) and agitation rate were 3.33 to 6.01 (w/w), 7.5 to 37.5 g L−1, 57.5–87.5% (w.b.), and 135 to 195 rpm, respectively.
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| Fig. 1 The bacterial activation, inoculation steps and preparation of batch SSF flask for the lipase production. | ||
| A run | Independent variables | LAd (U g−1) | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Yeast extract (g L−1) | Peptone (g L−1) | Particle size (mm) | MCSa (g L−1) | MPCb (g L−1) | MGCc (g L−1) | MgCl2 (mM) | Agitation rate (rpm) | MC (%) | Molasses (g L−1) | Olive oil (g L−1) | ||
| a MCS: milled coriander seeds.b MPC: milled pomegranate seeds.c MGC: milled grape seeds.d The activity was measured after 24 h incubation. | ||||||||||||
| 1 | 15 | 15 | 0.5 | 40 | 40 | 40 | 20 | 130 | 50 | 15 | 10 | 5452.5 |
| 2 | 5 | 15 | 2 | 20 | 40 | 40 | 40 | 130 | 50 | 5 | 30 | 5234.0 |
| 3 | 15 | 5 | 2 | 40 | 20 | 40 | 40 | 180 | 50 | 5 | 10 | 6543.0 |
| 4 | 5 | 15 | 0.5 | 40 | 40 | 20 | 40 | 180 | 80 | 5 | 10 | 6787.0 |
| 5 | 5 | 5 | 2 | 20 | 40 | 40 | 20 | 180 | 80 | 15 | 10 | 5456.0 |
| 6 | 5 | 5 | 0.5 | 40 | 20 | 40 | 40 | 130 | 80 | 15 | 30 | 6634.0 |
| 7 | 15 | 5 | 0.5 | 20 | 40 | 20 | 40 | 180 | 50 | 15 | 30 | 7431.0 |
| 8 | 15 | 15 | 0.5 | 20 | 20 | 40 | 20 | 180 | 80 | 5 | 30 | 7518.0 |
| 9 | 15 | 15 | 2 | 20 | 20 | 20 | 40 | 130 | 80 | 15 | 10 | 6300.0 |
| 10 | 5 | 15 | 2 | 40 | 20 | 20 | 20 | 180 | 50 | 15 | 30 | 8478.7 |
| 11 | 15 | 5 | 2 | 40 | 40 | 20 | 20 | 130 | 80 | 5 | 30 | 6845.0 |
| 12 | 5 | 5 | 1.25 | 20 | 20 | 20 | 20 | 130 | 50 | 5 | 10 | 5294.0 |
| 13 | 10 | 10 | 1.25 | 30 | 30 | 30 | 30 | 155 | 65 | 10 | 20 | 7638.0 |
| 14 | 10 | 10 | 1.25 | 30 | 30 | 30 | 30 | 155 | 65 | 10 | 20 | 7605.5 |
| Run | Independent variables | Response variable (LA, U g−1) | ||||
|---|---|---|---|---|---|---|
| MCS/yeast extract (w/w) | Olive oil (g L−1) | MC (%) | Agitation rate (rpm) | Experimental valuea | Predicted value | |
| a Mean ± standard deviation (n = 3). | ||||||
| 1 | 4.00 | 15 | 65 | 150 | 7887.5 ± 126 | 9239 |
| 2 | 5.34 | 15 | 65 | 150 | 6510 ± 45 | 6221 |
| 3 | 4.00 | 30 | 65 | 150 | 10 577 ± 79 |
9996 |
| 4 | 5.34 | 30 | 65 | 150 | 11 412 ± 122 |
12 323 |
| 5 | 4.00 | 15 | 80 | 150 | 14 792 ± 412 |
14 148 |
| 6 | 5.34 | 15 | 80 | 150 | 5738 ± 321 | 6546 |
| 7 | 4.00 | 30 | 80 | 150 | 5955 ± 152 | 6556 |
| 8 | 5.34 | 30 | 80 | 150 | 3135 ± 27 | 4298 |
| 9 | 4.00 | 15 | 65 | 180 | 20 832 ± 119 |
20 162 |
| 10 | 5.34 | 15 | 65 | 180 | 11 725 ± 349 |
11 102 |
| 11 | 4.00 | 30 | 65 | 180 | 21 310 ± 487 |
20 480 |
| 12 | 5.34 | 30 | 65 | 180 | 15 627 ± 29 |
16 764 |
| 13 | 4.00 | 15 | 80 | 180 | 21 027 ± 245 |
20 094 |
| 14 | 5.34 | 15 | 80 | 180 | 5376 ± 216 | 6450 |
| 15 | 4.00 | 30 | 80 | 180 | 11 280 ± 450 |
12 062 |
| 16 | 5.34 | 30 | 80 | 180 | 5135 ± 32 | 3762 |
| 17 | 3.33 | 22.5 | 72.5 | 165 | 15 187 ± 161 |
15 883 |
| 18 | 6.01 | 22.5 | 72.5 | 165 | 5736 ± 49 | 4566 |
| 19 | 4.67 | 7.5 | 72.5 | 165 | 11 497 ± 146 |
11 693 |
| 20 | 4.67 | 37.5 | 72.5 | 165 | 10 433 ± 87 |
9763 |
| 21 | 4.67 | 22.5 | 57.5 | 165 | 15 632 ± 246 |
15 663 |
| 22 | 4.67 | 22.5 | 87.5 | 165 | 8075 ± 87 | 7570 |
| 23 | 4.67 | 22.5 | 72.5 | 135 | 8713 ± 341 | 7287 |
| 24 | 4.67 | 22.5 | 72.5 | 195 | 16 723 ± 246 |
17 675 |
| 25 | 4.67 | 22.5 | 72.5 | 165 | 3142 ± 21 | 3387 |
| 26 | 4.67 | 22.5 | 72.5 | 165 | 4651 ± 444 | 3387 |
| 27 | 4.67 | 22.5 | 72.5 | 165 | 3362 ± 12 | 3387 |
| 28 | 4.67 | 22.5 | 72.5 | 165 | 4360 ± 32 | 3387 |
| 29 | 4.67 | 22.5 | 72.5 | 165 | 3271 ± 145 | 3387 |
| 30 | 4.67 | 22.5 | 72.5 | 165 | 3387 ± 64 | 3387 |
| 31 | 4.67 | 22.5 | 72.5 | 165 | 1536 ± 316 | 3387 |
Both linear and quadratic effects of the four variables under study, as well as their interactions, on the dependent variable namely LA (U g−1, Y) were calculated. Their significance was evaluated by analysis of variance (ANOVA). The experimental design results were fitted by a second-order polynomial equation in order to correlate the response to the independent variables. The general equation to predict the optimal point was explained as follows (eqn (1)):
![]() | (1) |
Optimal conditions for the constructed model solution depended on combination of the independent process variables were obtained through the predictive equation of RSM and the LA. Three additional confirmation experiments were carried out to verify the accuracy of statistical experimental design. Finally, the experimental and predicted values were compared in order to determine the model validity.
The obtained data for LAs produced by the screened bacterial isolates and LA of the Acinetobacter isolated from CSW as a function of different metal ions were subjected to analysis of variance (ANOVA) using SPSS 13 software (SPSS Inc., Chicago, Illinois, USA). The means were compared using the Duncan's multiple ranges test at a significant level of P < 0.05.
000 × g for 30 min and resuspended in minimum volume of 25 mM sodium phosphate buffer (pH 7.2). This enzyme solution was subjected to dialysis for 24 h at 4 °C against the same buffer, with three intermittent changes of the buffer. The filtrate was further concentrated using centricon centrifugal filters (30 kDa cutoff; Millipore, Billerica, MA) at 800 × g for 1 h at 4 °C. LA and protein content (by the method of Lowry) were determined for both the dialyzed and the concentrated filtrate sample.14
A hydrophobic interaction chromatography (HIC) column of phenyl Sepharose™ (1.5 × 6 cm) pre-equilibrated with the solution containing 0.6 M ammonium sulphate dissolved in 25 mM phosphate buffer (pH 7.2) was used to assay purity of the concentrated lipase solution. This solution was injected to elute the bound enzyme with a flow rate of 1 mL min−1 through negative linear gradient.
Twelve bacteria were isolated from eight sources by culturing in NB enriched with olive oil. The isolates were screened based on their lipolytic potential using rhodamine B-agar plate. The formation of orange fluorescent halos around colonies ultraviolet light (350 nm) indicates lipase positive isolate. Among the screened isolates, the CSW isolate due to the highest LA (3124 U mL−1) was selected for the further studies (Fig. 2a). The cells of this bacterial isolate were Gram-negative, aerobic, short rod- and coccoid-like, non-motile, non-endospore-forming, non-acid fast, oxidase-negative, and catalase-positive. The selected isolate was positive for H2S and indole production and urea hydrolysis, but they could not reduce nitrates to nitrogen. The biochemical tests of Voges–Proskauer and citrate utilization were negative and positive, respectively. This bacterial isolate was able to utilize the sole carbon sources of D-glucose, D-mannose, D-tagatose, L-rhamnose, lactose, maltose, sucrose, trehalose, gentiobiose, melezitose and melibiose. However, it was unable to utilize inulin, inositol, D-adonitol, D-arabitol, L-arabinose, arbutin, cellobiose, raffinose and cellobiose. Moreover, optimum range for growth temperature, salinity (tolerance level to NaCl) and pH for the selected isolate were 15–45 °C, 0–5% and 6.5–8, respectively. Sequencing and PCR amplification of 16S rRNA gene sequences as a phylogenetic tree revealed that this isolate is closely associated with the genus Acintobacter and represents a distinct sub-line within its members (Fig. 3).
Fig. 2b showed that the best metal ion (25 mM) to maximize the enzyme activity by the newly isolated Acinetobacter in a SSF was magnesium (as MgCl2·6H2O, 4181.25 U g−1), followed by calcium (as CaCl2, 3903.5 U g−1), sodium (as NaCl, 3482.5 U g−1), manganese (as MnCl2·4H2O, 3070.0 U g−1), potassium (as KCl, 3070.0 U g−1), copper (as CuCl2, 1431.25 U g−1), and iron (as FeCl3·6H2O, 566.25 U g−1). The PB design revealed that MCS was the solid substrate better than grape and pomegranate seeds (Table 1). As earlier mentioned, the process parameters of agitation rate and MC were more effective than the particle size according to the PB design.
480.2 U g−1) for the model was estimated to be achieved by a set level of 4.0 w/w, 30 g L−1, 65.0% and 180.0 rpm for MCS/yeast extract, olive oil concentration, MC and agitation rate, respectively. The suitability of the presented model for predicting the optimum value of LA was delaminated using the recommended optimum conditions. The maximum activity by lipase synthesized experimentally was found to be 20
892.7 U g−1, which was clearly very close to the predicted value (p > 0.05).
| Source | Coefficient | Sum of squares (SS) | dfa | Mean of squares | F-value | Probability > Fb,c,d |
|---|---|---|---|---|---|---|
| a df: degree of freedom.b Significant (*p < 0.05).c Highly significant (**p < 0.01).d ns: not significant. | ||||||
| Model | 3387.00 | 9.807 × 108 | 14 | 7.005 × 107 | 45.24 | <0.0001** |
| X1 (MCS/yeast extract) | −2829.35 | 1.921 × 108 | 1 | 1.921 × 108 | 124.07 | <0.0001** |
| X2 (olive oil concentration) | — | 5.592 × 106 | 1 | 5.592 × 106 | 3.61 | ns |
| X3 (MC) | −2023.19 | 9.824 × 107 | 1 | 9.824 × 107 | 63.44 | <0.0001** |
| X4 (agitation rate) | 2596.90 | 1.619 × 108 | 1 | 1.619 × 108 | 104.52 | <0.0001** |
| X11 | 1709.53 | 8.357 × 107 | 1 | 8.357 × 107 | 53.97 | <0.0001** |
| X22 | 1835.40 | 9.633 × 107 | 1 | 9.633 × 107 | 62.21 | <0.0001** |
| X33 | 2057.53 | 1.211 × 108 | 1 | 1.211 × 108 | 78.17 | <0.0001** |
| X44 | 2273.65 | 1.478 × 108 | 1 | 1.478 × 108 | 95.46 | <0.0001** |
| X12 | 1336.03 | 2.856 × 107 | 1 | 2.856 × 107 | 18.44 | 0.0006** |
| X13 | −1146.09 | 2.102 × 107 | 1 | 2.102 × 107 | 13.57 | 0.0020** |
| X14 | −1510.59 | 3.651 × 107 | 1 | 3.651 × 107 | 23.58 | 0.0002** |
| X23 | −2087.47 | 6.972 × 107 | 1 | 6.972 × 107 | 45.02 | <0.0001** |
| X24 | — | 1.935 × 105 | 1 | 1.935 × 105 | 0.12 | ns |
| X34 | −1244.34 | 2.477 × 107 | 1 | 2.477 × 107 | 16.00 | 0.0010** |
| Residual | — | 2.478 × 107 | 16 | 1.549 × 106 | — | — |
| Lack of fit | — | 1.873 × 107 | 10 | 1.873 × 106 | 1.86 | 0.2312ns |
| Pure error | — | 6.045 × 106 | 6 | 1.007 × 106 | — | — |
| Core total | — | 1.005 × 109 | 30 | — | — | — |
| R2 = 0.975; adjusted-R2 = 0.953; CV = 13.12 adequate precision = 19.74 | ||||||
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| Fig. 4 3D surface plots showing the significant (p < 0.05) interaction effects on the activity variation of lipase (a–e) produced by Acinetobacter sp. isolated from CSW. | ||
O and C–N stretching vibrations in these spectra demonstrated that the ASP and HIC can considerably improve purity of the biosynthesized lipase.
Minerals play a significant role in production of extracellular lipase. They, as cofactors of several enzymes involved in the biosynthetic pathway of enzymes, can improve valuable metabolites at certain concentrations.21,22 Among the different ions, magnesium and calcium led to a considerable increase in LA by the newly isolated Acinetobacter. Kok et al.23 found that production of extracellular lipase by A. calcoaceticus BD 413 was significantly enhanced when the medium was supplemented with divalent cations of Mg2+, Ca2+, Cu2+ and Co2+. An increase in lipase biosynthesis by A. niger and Pseudomonas pseudoalcaligenes F-111 in the presence of Mg2+ ions was observed.24,25 Hasan et al.3 had reported that Mg2+ ions would generally increase the lipase production by forming complexes with ionized fatty acids, changing their solubility and behavior at interfaces.
The higher effect of MCS than the milled seeds of grape and pomegranate on the LA can be attributed to the high nitrogen content of this seed. It was demonstrated that microorganisms provide high yields of lipase when organic nitrogen sources together with olive oil as carbon source are used at optimal concentrations.23 Moreover, response surface optimization showed that the MCS/yeast extract and agitation rate had more effect than MC and olive oil concentration on the lipase productivity of aerobic microorganism of Acinetobacter in shake flask cultures. These factors at their optimum points can improve substrate's particle structure with the increasing MCS porosity and solubility to transfer oxygen to the isolated Acinetobacter and can increase the LA.26 A higher MC to achieve the highest LA by A. niger (71.0%) was reported than the isolated Acinetobacter (65.0%) in this study.27 However, Mahanta et al.28 found an optimum MC of 50% for the lipase production by P. aeruginosa in SSF using Jatropha curcas seed cake as substrate. The LA reduction by increasing MC can be attributed to the aggregation of substrate particles, poor aeration, and possible anaerobic conditions.6 Similarly, MC lower than optimum level can considerably decrease the solubility and/or degree of swelling of the solid substrate, and thus by providing a higher water tension can produce lipase with a lower activity.26 The LA enhancement by increasing agitation rate can be due to the improved oxygen transfer rate as well as the mixing efficiency of the culture, thus enhancing the cell growth and lipase production. However, higher agitation rate more than 180 rpm by increasing shear force led to a negative impact on cell growth and enzyme activity.29 Alonso et al.30 have also reported 200 rpm, stirring rates as optimum while Freire et al.31 have reported maximum production of lipase at agitation rate of 300 rpm with Pencillium sp. These researchers showed that an increase in agitation rate more than the optimal level (200 or 300 rpm) resulted in decreased enzyme production because of mechanical and/or oxidative stress, excessive foaming, disruption and physiological disturbance of the cells.30,31 Activity reduction of the synthesized lipase at low agitation rates can be attributed to the limited oxygen levels along with the lacking of homogeneous suspension of the fermentation medium and breaking of the clumps of the cells.32 Low increase of the enzyme activity in presence of olive oil inducer in the culture medium could be due to its high content of long, unsaturated fatty acyl chains, such as oleic acid. This fact was earlier demonstrated by other researchers on the lipase production from Amycolatopsis mediterranei and Microbacterium luteolum.17,33 The LA (20
480.2 U g−1) obtained at the optimal conditions was considerably more than activity of lipase produced by Yarrowia lipolytica (69.0 U g−1),34 Penicillum sp. (140.7 U g−1),35 Rhizopus oryzae (96.52 U g−1),36 A. radioresistens (54 U L−1),37 Bacillus sp. (168 U mL−1),38 A. niger (33.03 U mL−1),39 Acinetobacter sp. EH28 (57.1 U mL−1),40 Geobacillus thermoleovorans CCR11 (2283 U mL−1),41 A. terreus (1566 U mL−1)42 and P. aeruginosa AAU2 (0.432 U mL−1)43 in SSF cultures.
A suitable lipase purity is mostly required for use in the different areas such as food processing, detergent, paper and pulp industry. Therefore, it is necessary to remove some unwanted impurities like proteins because of their antagonistic effects on the desired enzyme's activity.3 Partial purification of the extracted lipase from free fraction of liquid culture by ASP and HIC led to a considerable increase in the purity (26.9-fold) in comparison to other reports. Ahmed et al.40 and Lee et al.44 using the same methods respectively achieved 24.2-fold and 9-fold purification for lipases produced by Acinetobacter sp. EH28 and Acinetobacter ES-1. Uttatree et al.20 reported a successful purification for lipase synthesized by A. baylyi (21.89-fold) to homogeneity by ASP and gel-permeable column chromatography with a relative molecular mass of 30 kDa. The enzyme recovery (27.8%) by the studied Acinetobacter was higher than the recovery of lipase biosynthesized by Geotrichum sp. SYBC WU-3 (20.4%) and Ralstonia sp. CS274 (20.8%).45,46 However, the low recovery may be attributed to strong affinity of the produced lipase with the matrix which may hold some activity even using highly hydrophobic elution condition.47 The molecular mass of lipase produced by newly isolated Acinetobacter (∼46 kDa) was found in the range of other lipases synthesized from the same genus such as A. colcoaceticus BD413 (32 kDa), A. radioresistens CMC-1 (45 kDa), A. calcoaceticus LP009 (23 kDa), and Acinetobacter sp. RAG-1 (43 kDa).4,5,18,20 IR radiation is adsorbed by the polypeptide chain backbone in IR spectroscopy and excited the vibrational modes of basic amide (I and II) bonds to determine protein secondary structure. Main protein bonds because of the peptide group vibration occurred in the spectral region of 1000–1700 cm−1.47 The signals at 1645 cm−1 in the partial purified sample is due to the C–O stretching vibrations of amide I. The bonds at 675, 1111, 1412 and 3390 cm−1 are respectively assigned to C–N stretching vibrations of amide I, partly wide peak of amide I, bending peak of amide I and O–H functional group. Comparison of between infrared absorption spectrum of the purified and crude enzymes revealed that the bands at 1659, 1393, 663, 1077 and 3436 cm−1 in the crude enzyme can be due to the C–O stretching vibrations of amide I, C–N stretching vibrations of amide I, partly wide peak of amide I, bending peak of amide I and O–H group, respectively. In the purified enzyme sample, the band at 1545.5 cm−1 is also assigned to the N–H bending (amide II region) with a contribution of the C–N stretching vibrations.47,48 Moreover, the band at 1234.7 cm−1 in this sample can be ascribed to the N–H bending and, C–C and C–N stretching vibrations that this peak shows random coil conformation of proteins. The amide I band at 1645.63 cm−1 is due to the stretching vibrations of the C
O bonds in the backbone of the protein; therefore, the frequency of this peak is sensitive to protein secondary structure.48
480.2 U g−1) in an inexpensive medium which facilitates its recovery and purification. Partial purification led to an increase in the purity (26.9-fold) and activity recovery (27.8%). The biosynthesized lipase from Acinetobacter isolated from CSW will be exposed for its potential esterification and transesterification reaction in organic solvents, synthesis of some industrial esters and biotreatment of lipid-rich industrial wastewaters. However, further studies are needed to purify and characterize the produced lipase to utilize in industrial applications.
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