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Investigation of antioxidant and detoxifying capacities of some date cultivars (Phoenix dactylifera L.) irrigated with sewage water

Wesam H. Abdulaala, Mustafa Zeyadia, Othman A. S. Baothmana, Mazin A. Zamzamia, Hani Choudhrya, Yaaser Q. Almulaikya, Rashad M. Saleha and Saleh A. Mohamed*ab
aBiochemistry Department, Faculty of Science, King Abdulaziz University, Jeddah, Kingdom of Saudi Arabia. E-mail: saleh38@hotmail.com; Tel: +966543395119
bMolecular Biology Department, National Research Center, Dokki, Cairo, Egypt

Received 27th December 2016 , Accepted 16th February 2017

First published on 24th February 2017


Abstract

The objective of the study was to compare the effect of irrigation by municipal water (MW) and sewage water (SW) on antioxidant and detoxifying capacities of some commercial Saudi date cultivars, Agwa, Anbr and Safawi (Phoenix dactylifera L.). Higher amounts of phenolic and flavonoid were detected in dateSW compared with dateMW. The levels of accumulation of heavy metals in dateSW were higher than those of dateMW. The phenolic extracts of dateSW exhibited higher antioxidant activity using 1,1-diphenyl-2-picrylhydrazyl (DPPH), 2,2′-azinobis (3-ethylbenzothiazoline-6-sulphonic acid) (ABTS) and the formation of phosphomolybdenum complex tests than those detected in dateMW. In the same manner, the activities of peroxidase, polyphenoloxidase and glutathione-S-transferase of dateSW were higher than those exhibited in dateMW. The higher levels of all these examined parameters, induced by sewage wastewater contaminants, may be contribute to protecting dateSW from oxidative and toxicity stresses.


Introduction

Sewage and industrial wastewater is commonly used for irrigating agricultural fields in developing countries.1,2 Continuous use of wastewater leads to the enrichment of soil with essential macro and micronutrients.3,4 Micro-nutrients are beneficial for the growth and metabolism of the plants at lower concentrations, but become toxic when in excess of the requirement. Several micronutrients are heavy metals and are known to produce undesirable effects in plants at higher concentrations.5 It has been shown that there is an increase in reactive oxygen species (ROS) production in plants due to pathogen attacks, wounding, herbivore feeding, UV light, heavy metals and others.6,7 ROS can damage DNA, proteins, lipids and chlorophyll.8 Plant damage occurs when the capacity of antioxidant processes and detoxification mechanisms are lower than the amount of ROS production.9 Plants have developed complex systems protecting them from ROS, consisting of several enzymes and antioxidants. Those mechanisms can slow down or even stop the oxidation of biomolecules and block the process of oxidative chain reactions.10 Increase in the amount of phenolic compounds can be observed under different environmental factors and stress conditions.6,11 The induction of phenolic compound biosynthesis was observed in wheat in response to nickel toxicity6 and in maize in response to aluminum.12 Phenolics have various functions in plants. Antioxidant action of phenolic compounds occurs due to their high tendency to chelate metals. Phenolics possess hydroxyl and carboxyl groups, which are able to bind particularly iron and copper.13

In addition to phenolic and flavonoid antioxidant compounds, plants also possess several important enzymes, including superoxide dismutase, peroxidase, and catalase.14 Peroxidases play a significant role in the defense against oxidative stress and have been suggested to be indicators of metal toxicity.15 Additionally, polyphenoloxidase plays an important role in the control of oxidative processes increased under stressful conditions.16,17 The enzymes glutathione-S-transferases have been associated with the detoxification of xenobiotics, limiting oxidative damage and other stress responses in plants.18,19 In general, plants with higher glutathione-S-transferase levels are more tolerant to herbicide exposure. They can be induced by various environmental stimuli including H2O2 and metals.20,21

Date palm (Phoenix dactylifera L.) is one of the most commonly consumed fruit in the Saudi Arabia.22,23 The production of dates of several excellent commercial cultivars reached about one million ton in 2010 season.23 It is one of the main sources of naturally dietary antioxidants such as phenolic compounds that critically required for keeping human health.22,24 Date palm trees are usually irrigated by the flood irrigation system that uses an abundant amount of water.25 Due to the agriculture in the Saudi Arabia faces many challenges, typical for a semi-arid to hyper-arid climate, included scarce water resources, low annual rainfall, extremely high temperatures, and enormous evapo-transpiration. Some farmers irrigated the date palm with sewage water. We hypothesize that the date palm tree obstructs the toxicity accompanied with sewage by its antioxidant and detoxification mechanisms. Therefore, the present study was conducted to compare the effect of irrigation by municipal water (MW) and sewage water (SW) on the total phenolic and flavonoid contents, and antioxidant activities of some commercially Saudi date palm cultivars. The antioxidant, oxidant and detoxifying enzymes were also evaluated.

Experimental

Plant material

Samples of fresh date fruits from three cultivars, Agwa, Anbr and Safawi, irrigated by using MW and SW, were harvested at Tamer stage from Al-Madinah Al-Munawwarah, Saudi Arabia.

Preparation of methanol extract

Two g of dried date fruits were extracted by shaking at 150 rpm for 24 h with 20 mL methanol (80%) and filtered through filter paper no. 1. The filtrate was designated as methanol extract. The experiment was repeated 3 times for each sample.

Estimation of phenolic content

Total phenolic content was measured according to Velioglu et al.26 Fifty μL of the methanol extract was mixed with 100 μL Folin–Ciocalteu reagent and 850 μL of methanol and allowed to stand for 5 min at ambient temperature. A 500 μL of 20% sodium carbonate was added and allowed to react for 30 min. Absorbance was measured at 750 nm. Total phenolic content was quantified from a calibration curve obtained by measuring the absorbance of known concentrations of gallic acid. The results are expressed as mg gallic acid equivalent (GAE)/100 g tissues.

Estimation of flavonoid content

Total flavonoid content was determined using a modified colorimetric method described by Zhishen et al.27 The catechin was used as a standard. Methanol extract or standard solution (250 μL) was mixed with distilled water (1.25 mL) and 5% NaNO2 solution (75 μL). After standing for 6 min, the mixture was combined with 10% AlCl3 solution (150 μL). One M NaOH (0.5 mL) and distilled water (275 μL) was added to the mixture 5 min later. The absorbance of the solutions at 510 nm was then measured. Total flavonoid content was quantified from a calibration curve obtained by measuring the absorbance of known concentrations of catechin. The results were expressed as mg catechin equivalent (CE)/100 g tissues.

Heavy metal determination

One g date fruit was incinerated in a porcelain crucible at 600 °C for 16 h. Ten mL of deionized water was added and filtered by filter paper Whatman no. 1. The filtrate was then analyzed for levels of heavy metals using inductively coupled plasma atomic emission spectrometry (ICPE-9000; Shimadzu Scientific Instruments). The obtained results were recorded as mg kg−1 DW.

Evaluation of antioxidant activity

DPPH radical scavenging assay. Free radical scavenging activity of methanol extract was determined using the 1,1-diphenyl-2-picrylhydrazyl (DPPH) method.28 A methanol extract (0.1 mL) was added to 0.9 mL of freshly prepared DPPH methanol solution (0.1 mM). An equal amount of methanol was used as a control. After incubation for 30 min at room temperature in the dark, the optical density (OD) was measured at 517 nm using a spectrophotometer. Activity of scavenging (%) was calculated using the following formula: DPPH radical scavenging% = [(OD control − OD sample)/OD control] × 100. IC50 value was the inhibition concentration as μg phenolic concentration of the test sample that decreases 50% of initial radical. The IC50 values were calculated from the dose responses curves.
ABTS radical cation decolorization assay. ABTS (2,2′-azino-bis (3-ethylbenzo-thiazoline-6-sulfonic acid) also forms a relatively stable free radical, which decolorizes in its non-radical form. The spectrophotometric analysis of ABTS˙+ scavenging activity was determined according to the method of Re et al.29 ABTS˙+ was produced by reacting 7 mM ABTS in H2O with 2.45 mM potassium persulfate (K2S2O8), stored in the dark at room temperature for 16 h. The ABTS˙+ solution was diluted to give an absorbance of 0.750 ± 0.025 at 734 nm in 0.1 M sodium phosphate buffer (pH 7.4). Then, 1 mL of ABTS˙+ solution was added to methanol extract. The absorbance was recorded 1 min after mixing and the percentage of radical scavenging was calculated relative to a blank containing no scavenger. The extent of decolorization was calculated as percentage reduction of absorbance. The scavenging capability of test compounds was calculated using the following equation: ABTS˙+ scavenging (%) = [(OD control − OD sample)/OD control] × 100. IC50 value is the inhibition concentration as μg phenolic concentration of the test sample that decreases 50% of initial radical. The IC50 values were calculated from the dose response curves.
Phosphomolybdenum complex assay. Spectrophotometric evaluation of antioxidant activity by the formation of a phosphomolybdenum complex was carried out according to Prieto et al.30 Methanol extract was mixed with 1 mL of reagent solution (0.6 M sulfuric acid, 28 mM sodium phosphate and 4 mM ammonium molybdate). The tubes were capped and incubated in a thermal block at 95 °C for 90 min. The samples were cooled to room temperature, and the absorbance of aqueous solutions of each sample was measured at 695 nm against a blank. The antioxidant activity was expressed as the absorbance of the sample. EC50 value (μg phenolic concentration) is the effective concentration at which the absorbance was 0.5 for the formation of phosphomolybdenum complex.

Enzymes measurements

Crude enzyme extract. One g of fresh date was homogenized with 20 mM Tris–HCl buffer, pH 7.2 using homogenizer. The homogenate was centrifuged at 13[thin space (1/6-em)]500 × g for 10 min at 4 °C. The supernatant was designed as crude extract and stored at −20 °C for further analysis.
Peroxidase assay. Peroxidase activity was carried out according to Miranda et al.31 The reaction mixture containing in one mL: 8 mM H2O2, 40 mM guaiacol, 50 mM sodium acetate buffer, pH 5.5 and 0.1 mL crude extract. The change in absorbance at 470 nm due to guaiacol oxidation was followed for 1 min using a spectrophotometer. One unit of peroxidase activity was defined as the amount of enzyme which increases the O.D. 1.0 per min under standard assay conditions.
Polyphenoloxidase assay. Polyphenoloxidase activity was assayed with catechol as a substrate according to the spectrophotometric procedure of Jiang et al.32 The crude extract (0.2 mL) was rapidly added to 2.8 mL of 20 mM catechol solution prepared in 0.01 M sodium phosphate buffer, pH 6.8. The increase in absorbance at 400 nm and 25 °C is recorded for 3 min using a spectrophotometer. One unit of enzyme activity is defined as the amount of the enzyme that causes a change of 0.1 in absorbance per min under standard assay conditions.
Glutathione-S-transferase assay. The glutathione-S-transferase activity was determined spectrophotometrically with the aromatic substrate 1-choloro-2,4-dinitrobenzen (CDNB) by monitoring the change in absorbance, due to thioether formation, at 340 nm and 25 °C as described by Habig et al.33 Unless otherwise stated, the assay mixture contained in a total volume of 1 mL, 0.1 M potassium phosphate buffer, pH 6.5, 1 mM CDNB in ethanol (final concentration of ethanol less than 4%), 1 mM glutathione reduced form (GRH), and the enzyme solution. The increase in absorbance at 340 nm of the complete assay reaction mixture was monitored against a control containing buffer instead of the enzyme and treated similarly. The extinction coefficient of product is taken to be 9.6 mM−1 cm−1. One unit of GST activity is defined as the amount of enzyme that produce 1 μmol S-(2,4 dinitrophenyl) glutathione per min.

Statistical analysis

The statistical analyses were performed by a one-way ANOVA and the Student's t-test. The results were expressed as means ± S.D (n = 10). Difference are considered significant when P < 0.05.

Results and discussion

Due to Saudi Arabia is facing an acute scarcity of water resources. Some farmers irrigated the date palm (Phoenix dactylifera L.) with sewage water. Therefore, the present study was conducted to compare the effect of irrigation by municipal water (MW) and sewage water (SW) on antioxidant and detoxifying capacities of some commercially Saudi date cultivars, Agwa, Anbr and Safawi in Al-Madinah Al-Munawwarah city. The phenolic contents were determined in examined date cultivars irrigated by MW and SW. The results showed that the phenolic contents of dateSW were significantly higher (P < 0.05) than those in dateMW (Table 1). Similarly, flavonoid contents of dateSW were significantly higher (P < 0.05) compared with those in dateMW. The enhancement of the phenolic contents may be attributed to the accumulation of heavy metals in date fruits. Therefore, the concentration of metals in date fruit was detected. The levels of accumulation of heavy metals, Cr, Cu, Fe, Mn, Pb and Zn, in dateSW were higher than those of dateMW (Table 2). The differences of concentrations are not significant for most of the examined metals except of Pb and Cr, which had higher significant (P < 0.05) in most dateSW compared with dateMW. These results indicated that dateSW had a harmful effect on human health. Similarly, lead is known for its toxicity and negative impacts on human health. Absorption of swallowed lead may have a severe danger to public health. Some long lasting negative impacts of lead toxicity includes colic, constipation and anemia (blood related disorder).34 In plants, heavy metals such as cadmium (Cd), lead (Pb) and nickel (Ni) are greatly toxic at comparatively low amount. Heavy metal poisonousness is the product of multifaceted interaction of chief noxious ions with other vital or non-essential ions. The metals can be a source of decrease in the hydrolysis products viz., α-amylase, phosphatase, RNAs and proteins. They disturb the enzyme activities by substituting metal ions from the metalo-enzymes and prevent various physiological developments of plants.35 The induction of phenolic compound biosynthesis was observed in wheat in response to nickel toxicity6 and in maize in response to aluminum.12 In contrast, the phenolic content was higher in spinach leaves irrigated by fresh water compared with sewage water.36
Table 1 The total phenolic and flavonoid contents in tamer fruit of dateMW and dateSW cultivarsa
Cultivar mg GAE/100 g DW mg CE/100 g DW
a GAE, gallic acid equivalent, CE, catechin equivalent. Values are presented as means ± SD (n = 10), values are presented as means ± SD (n = 10). Values with different superscripts (a and b) within each date were significant different (P < 0.05).
AgwahMW 308 ± 6.8b 42 ± 0.31b
AgwahSW 402 ± 8.8a 59 ± 0.29a
AnbrMW 289 ± 7.6b 17 ± 0.18b
AnbrSW 314 ± 5.8a 34 ± 0.28a
SafawiMW 294 ± 6.6b 34 ± 0.32b
SafawiSW 378 ± 7.5a 51 ± 0.42a


Table 2 Screening of Cr, Cu, Fe, Mn, Pb and Zn concentrations in tamer fruit of dateMW and dateSW cultivars. Values expressed as mg kg−1 DWa
Cultivar Cr Cu Fe Mn pb Zn
a Values are presented as means ± SD (n = 10). Values with different superscripts (a and b) within each date were significant different (P < 0.05).
AgwahMW 0.9087b ± 0.012 1.4668 ± 0.015 17.917 ± 0.13 2.4299 ± 0.05 1.122b ± 0.016 0.0723 ± 0.002
AgwahSW 0.9836a ± 0.012 1.5334 ± 0.017 20.565 ± 0.32 3.2355 ± 0.08 1.459a ± 0.043 0.0986 ± 0.003
AnbrMW 0.3407b ± 0.005 0.2543 ± 0.003 16.342 ± 0.38 0.2076 ± 0.003 1.148b ± 0.022 0.0967 ± 0.002
AnbrSW 0.4799a ± 0.0045 0.4466 ± 0.0032 17.958 ± 0.42 0.4997 ± 0.006 1.48a ± 0.018 0.1234 ± 0.002
SafawiMW 0.0188b ± 0.0002 0.4785 ± 0.005 14.94 ± 0.33 0.7985 ± 0.016 0.903b ± 0.021 0.1025 ± 0.002
SafawiSW 0.1100a ± 0.0015 0.5113 ± 0.0022 16.077 ± 0.52 1.25 ± 0.015 0.982a ± 0.014 0.1153 ± 0.013


Heavy metals influenced some chemical and physical processes and directly induced reactive oxygen species in living organisms, blocking of some proteins and glutathione.37–39 Therefore, the evaluation of antioxidant compounds, antioxidant and detoxifying enzymes was studied. Several methods have been used to evaluate the antioxidant activity of different plants. Usually, these methods measured the ability of antioxidants to scavenge the free radicals. Scavenging the stable DPPH radical model is widely used method to evaluate antioxidant activity.40 The phenolic contents for dateMW and dateSW showed a concentration dependent scavenging of DPPH radical (Table 3). The methanol extract of dateSW cv. Agwa, Anbar and Safawi (IC50 12.44, 11.88 and 12.03 μg GAE per mL, respectively) had higher total antioxidant activity compared with dateMW (IC50 16.8, 12.69 and 14.05, respectively). The correlation coefficient (R2) between phenolic contents and DPPH scavenging activity ranged from 0.836 to 0.895 indicating the strong correlation for dateMW and dateSW. Similarly, the alcohol and aqueous extracts from organic tomatoes presented higher antioxidant activity in the DPPH test (25.43 and 14.28%, respectively) than the conventional tomatoes (19.52 and 11.33%, respectively).41 On contrast, the spinach leaves irrigated by fresh water had highest antioxidant potential using DPPH assay compared with sewage water.36

Table 3 Antioxidant effect of GAE in tamer fruit of dateMW and dateSW cultivars on reduction of DPPH and ABTS radical scavenginga
Cultivar DPPH ABTS
IC50 (μg GAE) R2 IC50 (μg GAE) R2*
a GAE, gallic acid equivalent. IC50: is the inhibition concentration as μg GAE of the test sample that decreases 50% of DPPH and ABTS radicals. Values are presented as means ± SD (n = 10). Values with different superscripts (a and b) within each date were significant different (P < 0.05). R2* are the correlation coefficients between phenolic contents and DPPH and ABTS scavenging activity, respectively.
AgwahMW 16.8 ± 0.31a 0.843 3.1 ± 0.08a 0.948
AgwahSW 12.44 ± 0.21b 0.844 2.24 ± 0.06b 0.971
AnbrMW 12.69 ± 0.38a 0.895 2.0 ± 0.032a 0.887
AnbrSW 11.88 ± 0.18b 0.847 1.79 ± 0.045b 0.978
SafawiMW 14.05 ± 0.36a 0.849 2.6 ± 0.036a 0.953
SafawiSW 12.03 ± 0.22b 0.836 1.6 ± 0.022b 0.939


The ABTS assay is based on the ability of antioxidant to scavenge ABTS radicals. It is a simple and usually used method for the evaluation of antioxidant capacity.42 The methanol extracts of dateSW cv. Agwa, Anbar and Safawi (IC50 2.24, 1.79 and 1.6 μg GAE per mL, respectively) had higher total antioxidant activity compared with dateMW (IC50 3.1, 2.0 and 2.6, respectively) (Table 3). The date extract had three-fold free radical scavenging capacity for ABTS radical greater than DPPH radical. The formation of a phosphomolybdenum complex was used as a total antioxidant activity for examined date cultivars. The high absorbance values indicated that the sample possessed significant antioxidant activity.30 The phosphomolybdenum complex EC50 value was detected. The methanol extracts of dateSW cv. Agwa, Anbar and Safawi (EC50 9.27, 9.54 and 9.16 μg GAE per mL, respectively) had higher total antioxidant activity compared with dateMW (EC50 12.93, 12.6 and 11.44, respectively) (Table 4). The results of the all tested antioxidant assays suggested that new phenolic compounds, with high potential antioxidant capacity, were produced from dateSW compared with dateMW.

Table 4 Antioxidant effect of GAE in tamer fruit of dateMW and dateSW cultivars on formation of phosphomolybdenum complexa
Cultivar EC50 (μg GAE) Correlation coefficient (R2)
a GAE, gallic acid equivalent. EC50: is the efficient concentration as μg GAE of the test sample that increases O.D 0.5 of phosphomolybdenum complex. Values are presented as means ± SD (n = 10). Values with different superscripts (a and b) within each date were significant different (P < 0.05). R2 is the correlation coefficient between phenolic contents and formation of phosphomolybdenum complex.
AgwahMW 12.93 ± 0.24a 0.958
AgwahSW 9.27 ± 0.16b 0.952
AnbrMW 12.6 ± 0.18a 0.978
AnbrSW 9.54 ± 0.26b 0.876
SafawiMW 11.44 ± 0.23a 0.990
SafawiSW 9.16 ± 0.17b 0.891


Peroxidase, an antioxidant enzyme, showed increment in its activity in dateSW cv. Agwa, Anbar and Safawi (15 ± 0.25, 7 ± 0.12 and 20 ± 0.34 units per g FW, respectively) compared with dateMW (9 ± 0.12, 3 ± 0.05 and 7 ± 0.08 units per g FW, respectively) (Table 5). These enhancements may be attributed to the accumulation of heavy metals (Table 2). Increase in peroxidase activity under heavy metal stress has been reported in palak (Beta vulgaris var Allgreen) grown at sewage water.43 The activity of peroxidase was stimulated by the presence of sludge.44 Peroxidase also showed increment in its activity in Beta vulgaris L. grown at wastewater irrigated sites as compared to those at ground water irrigated ones.45 In industrial wastewater, a significant increase in peroxidase was detected in response to irrigation with wastewater. The magnitude of such increase was directly proportional to the detected amounts of heavy metals in the wastewater.46 Conversely, peroxidase activity of lettuce decreased along with application of sludge.47

Table 5 Screening of peroxidase, polyphenoloxidase and glutathione-S-transferase activities in tamer fruit of dateMW and dateSW cultivarsa
Cultivar Peroxidase units per g FW Polyphenoloxidase units per g FW Glutathione-S-transferase units per g FW
a Values are presented as means ± SD (n = 10). Values with different superscripts (a and b) within each date were significant different (P < 0.05).
AgwahMW 9 ± 0.12b 61 ± 0.81b 2.2 ± 0.032b
AgwahSW 15 ± 0.25a 123 ± 2.2a 2.5 ± 0.025a
AnbrMW 3 ± 0.05b 10 ± 0.18b 1.74 ± 0.018b
AnbrSW 7 ± 0.12a 33 ± 0.48a 3.15 ± 0.055a
SafawiMW 7 ± 0.08b 52 ± 1.32b 3.1 ± 0.04b
SafawiSW 20 ± 0.34a 88 ± 2.52a 3.7 ± 0.06a


The activity of polyphenoloxidase, one of the terminal oxidases in the plant cell, was enhanced under unfavorable conditions. This enzyme, along with peroxidase, is involved in oxidation of phenolic compounds, which function as antioxidants favoring plant cell defense.17 Therefore; activation of the enzyme oxidizing phenols could be considered as an indicator of species sensitivity. In the present study, polyphenoloxidase showed enhancement in its activity in dateSW cv. Agwa, Anbar and Safawi (123 ± 2.2, 33 ± 0.48 and 88 ± 2.52 units per g FW, respectively) compared with dateMW (61 ± 0.81, 10 ± 0.18 and 52 ± 1.32 units per g FW, respectively) (Table 5). In the unpolluted district, there was no significant difference in polyphenoloxidase activity of the leaves and roots of red clover. At the high concentration of anthropogenic pollutants in the environment (industrial zone) polyphenoloxidase activity in leaves of red clover (sensitive plant to pollution) rose substantially (by 2–3 times in comparison with its roots).48

It is often that the activity of glutathione-S-transferase is induced by heavy metals.21 As such, it was expected that induced glutathione-S-transferase activities would be found in the present study. When glutathione-S-transferase was assayed strongly increasing activity was detected in dateSW cv. Agwa, Anbar and Safawi (2.5 ± 0.025, 3.15 ± 0.055 and 3.7 ± 0.06 units per g FW, respectively) compared with dateMW (2.2 ± 0.032, 1.74 ± 0.018 and 3.1 ± 0.04 units per g FW, respectively) (Table 5). These enhancements may be attributed to the accumulation of heavy metals (Table 2). Glutathione-S-transferases have been associated with the detoxification of xenobiotics and detoxify herbicides in sewage.18,19 According to Schröder et al.49 there is significant glutathione-S-transferase induction in Picea abies after treatment with Cd and Pb. When glutathione-S-transferase from Typha latifolia was assayed with the model substrate DCNB, a different pattern of activity was observed, with strongly increasing activities at increasing heavy metal concentrations.50

Conclusion

In the present study, the enhancement of antioxidant and detoxifying capacities, induced by contaminant of sewage, may be contributed to protect dateSW from oxidative and toxicity stresses. There are significant differences of the heavy metals in dateMW and dateSW. Therefore, dateSW had a harmful effect on human health. Thus, the present study suggests that date palm tree irrigated with sewage water had antioxidant and detoxification mechanisms. However, continued monitoring was suggested to determine long-term effects (i.e., metal accumulation in soil, roots or leaves). Though the metal amounts in wastewater discharges are comparatively low, long-term watering of land with such wastewater can finally cause heavy metal build-up in the soil. Moreover, the repeated application of sewage sludge increases not only the heavy metal content in soil, but also its uptake and accumulation in plant tissues.51 Heavy metals accumulated in cultivated soils can be transferred to humans through various exposure pathways causing adverse effects on human health.52 If heavy metals enter and accumulate in body tissues faster than the body's detoxification pathways can dispose of, then a gradual build-up of these toxins occurs. High concentration exposure is not a necessity to produce a state of toxicity in the body, as heavy metal accumulation occurs in body tissues gradually and, over time, can reach toxic concentration levels, much beyond the permissible limits.53

References

  1. K. Nath, D. Singh, S. Shyam and Y. K. Sharma, J. Environ. Biol., 2009, 30, 227–234 CAS.
  2. P. C. Nagajyothi, N. Dinakar, S. Suresh, Y. Udaykiran, C. Suresh and T. Damodharam, J. Environ. Biol., 2009, 30, 385–388 CAS.
  3. D. Dass and R. N. Kaul, Ministry of Environment and Forest, National Wastelands Development Board, New Delhi, India, 1992, p. 33 Search PubMed.
  4. V. Kanan, R. Ramesh and C. Sasikumar, J. Environ. Biol., 2005, 26, 269–272 Search PubMed.
  5. S. Kocak, O. Tokusoglu and S. Aycan, Electron. J. Environ., Agric. Food Chem., 2005, 4, 871–878 Search PubMed.
  6. J. Diáz, A. Bernal, F. Pomar and F. Merino, Plant Sci., 2001, 161, 179–188 CrossRef.
  7. P. Wojtaszek, Biochem. J., 1997, 322, 681–692 CrossRef CAS PubMed.
  8. V. Mittova, M. Volokita, M. Guy and M. Tal, Physiol. Plant., 2000, 110, 42–51 CrossRef CAS.
  9. A. Michalak, Pol. J. Environ. Stud., 2006, 15, 523–530 CAS.
  10. C. Sgherri, E. Cosi and F. Navari-Izzo, Physiol. Plant., 2003, 118, 21–28 CrossRef CAS PubMed.
  11. Y. Sakihama and H. Yamasaki, Biol. Plant., 2002, 45, 249–254 CrossRef CAS.
  12. B. Wink El-Shirley, Curr. Opin. Plant Biol., 2002, 5, 218–223 CrossRef CAS.
  13. C. H. Jung, V. Maeder, F. Funk, B. Frey, H. Sticher and E. Frosserd, Plant Soil, 2003, 252, 301–312 CrossRef CAS.
  14. J. Zhang and M. B. Kirkham, Plant Cell Physiol., 1994, 35, 785–791 CrossRef CAS.
  15. K. Radotic, T. Ducic and D. Mutavdzic, Environ. Exp. Bot., 2000, 44, 105–113 CrossRef CAS PubMed.
  16. O. L. Voskresenskaya, in Polyvariant Development of Organisms, Populations, and Communities, ed. O. L. Voskresenskaya, Mar. Gos. Univ., Yoshkar-Ola, 2006, pp. 77–86 Search PubMed.
  17. M. M. Rachkovskaya and L. O. Kim, Changes in activities of some oxidases as an index of plant adaptation to industrial pollutants, Gazoustoichivost' rastenii (Plant Tolerance to Gases), ed. V. S. Nikolaevskii, Nauka, Novosibirsk, 1980 Search PubMed.
  18. H. Gong, Y. Jiao, W.-W. Hu and E.-C. Pua, Plant Mol. Biol., 2005, 57, 53–66 CrossRef CAS PubMed.
  19. J. P. H. Reade, J. Milner and L. A. H. Cobb, Weed Sci., 2004, 52, 468–474 CrossRef CAS.
  20. A. Levine, R. Tenhaken, R. Dixon and C. Lamb, Cell, 1994, 79, 583–593 CrossRef CAS PubMed.
  21. B. Ezaki, M. Suzuki, H. Motoda, M. Kawamura, S. Nakashima and H. Matsumoto, Plant Physiol., 2004, 134, 1672–1682 CrossRef CAS PubMed.
  22. M. A. Awad, A. D. Al-Qurashi and S. A. Mohamed, Sci. Hortic., 2011, 129, 688–693 CrossRef CAS.
  23. A. M. R. Elsabea, Ann. Agric. Sci., 2012, 57, 153–159 Search PubMed.
  24. S. A. Mohamed, M. A. Awad and A. D. Al-Qurashi, Sci. Hortic., 2014, 167, 91–99 CrossRef CAS.
  25. F. S. Al-Subaiee, H. M. Al-Ghobari, M. B. Baig, E. A. EI-Hag and M. T. Abu-Riziga, Bulg. J. Agric. Sci., 2013, 19, 1337–1345 Search PubMed.
  26. Y. S. Velioglu, G. Mazza, L. Gao and B. D. Oomah, J. Agric. Food Chem., 1998, 46, 4113–4117 CrossRef CAS.
  27. J. Zhishen, T. Mengcheng and W. Jianming, Food Chem., 1999, 64, 555–559 CrossRef CAS.
  28. C. Ao, A. Li, A. A. Elzaawely, T. D. Xuan and S. Tawata, Food Control, 2008, 19, 940–948 CrossRef CAS.
  29. R. Re, N. Pellegrini, A. Proteggente, A. Pannala, M. Yang and C. Rice-Evans, Free Radical Biol. Med., 1999, 26, 1231–1237 CrossRef CAS PubMed.
  30. P. Prieto, M. Pineda and M. Aguilar, Anal. Biochem., 1999, 269, 337–341 CrossRef CAS PubMed.
  31. M. V. Miranda, H. M. Fernandez Lahor and O. Cascone, Appl. Biochem. Biotechnol., 1995, 53, 147–154 CrossRef CAS.
  32. Y. M. Jiang, Z. Q. Zhang, D. C. Joyce and S. Ketsa, Postharvest Biol. Technol., 2002, 26, 241–252 CrossRef.
  33. W. H. Habig, M. J. Pabst and B. Jakoby, J. Biol. Chem., 1974, 249, 7130–7139 CAS.
  34. M. Bolger, C. Carrington, J. C. Larsen and B. Petersen, WHO Food Addit. Ser., 2000, 44, 212–227 Search PubMed.
  35. S. K. Agarwal, Master Thesis, MDS University, Ajmeer, India, 1999.
  36. M. Tehseen, S. Hina and A. Alim-un-Nisa, World Appl. Sci. J., 2014, 32, 1235–1241 Search PubMed.
  37. A. Hartwing, Antioxid. Redox Signaling, 2001, 3, 625–634 CrossRef PubMed.
  38. D. Baralkiewicz, M. Kozka, P. Kachlicki, A. Piechalak and A. Tomaszewewska, Int. J. Environ. Anal. Chem., 2008, 88, 979–988 CrossRef CAS.
  39. A. Malecka, A. Piechalak and B. Tomaszewska, Acta Physiol. Plant., 2009, 31, 1053–1963 CrossRef CAS.
  40. A. Von Gadow, E. Joubert and C. F. Hansmann, Food Chem., 1997, 6, 73–77 CrossRef.
  41. R. G. Borguini, D. H. M. Bastos, J. M. Moita-Neto, F. S. Capasso and E. A. F. S. Torres, Braz. Arch. Biol. Technol., 2013, 56, 521–529 CrossRef.
  42. Y. Z. Cai, Q. Luo, M. Sun and H. Corke, Life Sci., 2004, 74, 2157–2184 CrossRef CAS PubMed.
  43. R. P. Singh and M. Agrawal, Chemosphere, 2007, 67, 2229–2240 CrossRef CAS PubMed.
  44. M. C. Antolin, I. Muro and M. Snchez-Daz, Environ. Exp. Bot., 2010, 68, 75–82 CrossRef.
  45. R. P. Singh and M. Agrawal, J. Environ. Biol., 2010, 31, 727–736 Search PubMed.
  46. H. A. Hashem, R. A. Hassanein, M. H. El-Deep and I. Shouman, Ecotoxicol. Environ. Saf., 2013, 95, 144–152 CrossRef CAS PubMed.
  47. M. Haghighi, Environ. Sci. Technol., 2011, 5, 165–167 Search PubMed.
  48. M. G. Polovnikova and O. L. Voskresenskaya, Russ. J. Plant Physiol., 2008, 55, 699–705 CrossRef CAS.
  49. P. Schröder, C. Fischer, R. Debus and A. Wenzel, Environ. Sci. Pollut. Res., 2002, 10, 225–234 CrossRef.
  50. L. Lyubenova and P. Schröder, Bioresour. Technol., 2011, 102, 996–1004 CrossRef CAS PubMed.
  51. A. Lakhdar, W. ben Achiba, F. Montemurro, N. Jedidi and Ch. Abdelly, Commun. Soil Sci. Plant Anal., 2009, 40, 3524–3538 CrossRef CAS.
  52. A. Qishlaqi, F. Moore and G. Forghani, Environ. Monit. Assess., 2008, 141, 257–273 CrossRef CAS PubMed.
  53. K. Sardar, S. Ali, S. Hameed, S. Afzal, S. Fatima, B. Shakoor, S. A. Bharwana and H. M. Tauqeer, Greener J. Environ. Manag. Public Health, 2013, 2, 172–179 Search PubMed.

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