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Article

Experimental Investigation of Chlorella vulgaris and Enterobacter sp. MN17 for Decolorization and Removal of Heavy Metals from Textile Wastewater

1
Key Laboratory for Algal Biology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China
2
Institute of Hydrobiology, University of Chinese Academy of Sciences, Beijing 100049, China
3
Institute of Soil and Environmental Sciences, University of Agriculture, Faisalabad 38040, Pakistan
4
National Engineering Laboratory for Improving Quality of Arable Land, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China
5
Soil Fertility Institute, Lahore 53700, Punjab, Pakistan
6
Department of Botany and Microbiology, College of Science, King Saud University, Riyadh 11451, Saudi Arabia
7
Faculty of Infrastructure and Environment, Częstochowa University of Technology, Dąbrowskiego 73, 42-201 Częstochowa, Poland
8
Faculty of Processing Engineering and Materials Technology, Częstochowa University of Technology, Armii Krajowej 19, 42-200 Częstochowa, Poland
9
Department of Plant Physiology, Institute of Biology, Warsaw University of Life Sciences, Nowoursynowska 159, 02-776 Warsaw, Poland
*
Authors to whom correspondence should be addressed.
Water 2020, 12(11), 3034; https://doi.org/10.3390/w12113034
Submission received: 30 July 2020 / Revised: 26 September 2020 / Accepted: 26 October 2020 / Published: 29 October 2020
(This article belongs to the Section Wastewater Treatment and Reuse)

Abstract

:
The present study evaluated the performance of microalgae Chlorella vulgaris in an Enterobacter sp. MN17-assisted textile industry wastewater treatment system for decolorization, removal of heavy metals (Cu, Cr, Pb, and Cd), and chemical oxygen demand (COD). Different dilutions (5, 10, and 20%) of wastewater were prepared to decrease the pollutant toxicity for culturing microalgae and bacteria. Reduction of color, COD, and metal contents by microalgal treatment of wastewater varied greatly, while removal efficiency (RE) was significantly enhanced when endophytic bacterial strain MN17 inoculum was applied. Most notable, results were found at a 5% dilution level by Enterobacter sp. MN17-inoculated C. vulgaris medium, as chromium (Cr), cadmium (Cd), copper (Cu), and lead (Pb) concentrations were decreased from 1.32 to 0.27 mg L−1 (79% decrease), 0.79–0.14 mg L−1 (93% decrease), 1.33–0.36 mg L−1 (72% decrease), and 1.2–0.25 mg L−1 (79% decrease), respectively. The values of COD and color were also significantly decreased by 74% and 70%, respectively, by a C. vulgaris–Enterobacter sp. MN17 consortium. The present investigation revealed that bacterial inoculation of microalgae significantly enhanced the removal of coloring agents and heavy metals from textile wastewater by stimulating the growth of algal biomass. This study manifested the usefulness of microalgae–bacterial mutualism for the remediation of heavy metals, COD, and color in industrial effluents. Microalgae consortia with growth promoting bacteria could be a breakthrough for better bioremediation and bioprocess economy. Thus, further studies are needed for successful integration of microalgae–plant growth promoting bacterial (PGPB) consortium for wastewater treatments.

1. Introduction

The textile industry is the most important sector in Pakistan’s economy, contributing about 9% to gross domestic product (GDP), but its impact on the environment is getting worse day by day. Recently, it has become a common practice to discharge wastewater originating from various production processes of textile and dying industrial units directly into water channels. This indiscriminate discharge of industrial effluents is posing serious threats to human and animal health [1]. The textile sector contains many units like dyeing, bleaching, printing, etc., using large quantities of water. About 3840 m3/day of water is used in these processes of the textile industry [2]. These activities are held responsible for environmental water pollution due to the use of huge amounts of water throughout all the processing operations and release about 35 billion tons of wastewater with high values of pH, electrical conductivity (EC), and total suspended solids (TSS) [3]. More than 70 types of chemicals are present in textile effluents including 30 chemical types that are unable to be removed [4]. Textile wastewater effluents contain substantial amounts of heavy metals, high biological oxygen demand (BOD), and chemical oxygen demand (COD). Therefore, it is highly indispensable to adopt environmentally-friendly methods for the treatment of textile effluents prior to their discharge into natural water bodies, particularly in heavily industrial cities [5].
Wastewater has been characterized with high BOD, COD [6], volatile acids, proteins, lipids, inorganic compounds, i.e., potassium, calcium, chlorine, and heavy metals [7]. Water conservation and reuse have become of the utmost necessity of the textile industry due to the increasing demand of water by both industrial and residential sectors and hence water resource depletion and health risks associated with contaminated water [8].
Treatment of wastewater prior to its discharge into natural water bodies is in dire need currently, owing to its highly hazardous effects on the ecosystem and human health. Application of various physical and chemical technologies requiring high cost and energy for operation and maintenance is not feasible in poor countries like Pakistan [9]. Therefore, biological means of pollutant removal provide cost effective alternative strategies, using biological agents such as algae, fungi, bacteria, etc., and crop residues for the removal of pollutants from wastewater in an efficient, eco-friendly, and sustainable way [10]. Algae sequester atmospheric CO2 with the assimilation of nutrients from wastewater [11]. Algal biomass production can be increased by synergism with suitable bacterial species [12]. Microalgae provide organic compounds and oxygen to the bacteria that are released as algogenic organic matter (AOM) during photosynthesis [13]. Alternatively, bacteria provide CO2 and other growth promoting elements to microalgae, thus acting as growth enhancers for microalgae [13]. Under extreme environmental conditions, bacteria may help algae in buffering the stresses against evapotranspiration and photoinhibition, whereas microalgae in turn provide nitrogen (N) and minerals by the process of mineralization [14]. This microalgal–bacterial symbiosis may produce anti-oxidants that also help them be sustained under extreme conditions [14].
The addition of bacteria in algal culture medium not only enhances algal growth but also its photosynthetic potential by supplying additional CO2 and organic compounds [15]. Algal–bacterial synergistic interaction helps to enhance phosphorus (P) and N assimilation, which can be recycled by using algae as a fertilizer [16].
Previous work has specifically focused on algal application for wastewater treatments [17,18]. However, little is known about algal–endophytic bacterial interactions for treating industrial wastewater. Interestingly, the role of Enterobacter sp. MN17 in treating and decolorization textile wastewater has not yet been explored. Therefore, the present research was designed to investigate the potential of microalgae C. vulgaris co-applied with Enterobacter sp. MN17 to remove heavy metals and color from textile wastewater.

2. Materials and Methods

2.1. Culturing Microalgae and Bacterial Strains

Freshwater green microalgae strain C. vulgaris was kindly donated by Punjab Bioenergy Institute, University of Agriculture, Faisalabad, and bacterial strain Enterobacter sp. MN17 was obtained from the Environmental Sciences Laboratory, University of Agriculture, Faisalabad, Pakistan. Microalgae was pre-cultured in BG-11 media containing 1.5 g L−1 NaNO3, 0.12 g L−1 K2HPO4, 0.287 g L−1 ZnSO4·7H2O, 0.075 g L−1 MgSO4·7H2O, 0.036 g L−1 CaCl2·2H2O, 0.02 g L−1 Na2CO3, 0.169 g L−1 MnSO2·2H2O, 0.0006 g L−1 Ferric ammonium citrate, 0.001 g L−1 EDTA (disodium salt), 0.061 g L−1 H3BO3, 0.012 g L−1 NaMoO4·2H2O, 0.0025 g L−1 CuSO4·5H2O, 0.049 g L−1 Co(NO3)2.6H2O, and 0.001 g L−1 MnCl2·4H2O. Bacterium was cultured in tryptic soy broth (TSB) media (Merck, Germany) with pre-sterilization in an autoclave for 20 min at 121 °C before its use for microalgae and bacteria cultivation [19]. For seed propagation, Chlorella vulgaris was first cultured in flasks in a growth chamber at light intensity of 60–80 µmol m−2 s−1 and temperature of 28 ± 2 °C followed by culturing in 5 L laboratory grade plastic tubes for 7 days. The culture was then used as seed for microalgae growth on textile wastewater. The bacterial culture was prepared in 500 mL Erlenmeyer flasks in a shaking incubator (Firstek Scientific, Tokyo, Japan) at 150 rpm for 48 h at 25 ± 2 °C.
Chlorella vulgaris is widely used for the treatment of wastewater [20,21] and has been proved to efficiently assimilate nutrients from wastewater. The bacterial strain Enterobacter sp. MN17 was selected on the basis of its growth promoting characteristics [22,23,24] and involvement in improving photosynthetic activity.
Textile industry wastewater was used as a culture medium for microalgae growth, collected from the dying unit of Masood Textile Mill (MTM), Faisalabad and stored at 4 °C prior to its use. Wastewater was filtered and analyzed for various physico-chemical parameters such as COD, color, and concentration of heavy metals, including chromium (Cr), cadmium (Cd), copper (Cu), and lead (Pb).

2.2. Algal Growth Determination

The effect of the growth promoting bacterium Enterobacter sp. MN17 on algal biomass production was evaluated by examining the growth response of pure algal culture and the algal–bacterial consortium for a period of 5 days, and the growth was expressed in terms of biomass concentration. For comparing the growth rate, C. vulgaris and the C. vulgarisEnterobacter sp. MN17 consortium were cultured in BG-11 in 1 L flasks with working volumes of 800 mL having a 0.2 optical density (OD) in a growth chamber at 25 ± 1 °C and 24 h light at 100–120 µmol/m2/s intensity along with 2% CO2 mixed with air. All treatments were performed in triplicate, and algal biomass was measured after every 24 h period using the gravity method.

2.3. Experimental Setup and Culture Conditions

For removal of pollutants from textile wastewater, the microalgae strain C. vulgaris was applied with bacterial strain Enterobacter sp. MN17 under different wastewater concentrations. The experiment was performed in 5 L laboratory grade plastic tubes in a growth chamber. Three different dilutions (5%, 10%, and 20%) of wastewater were prepared by distilled water to reduce its toxicity. For assessment of the wastewater treatment potential of microalgae with respect to controls of the same dilutions, the pH of all the dilutions was adjusted to 7.0 before inoculation of algal–bacterial strains. The wastewater dilutions were sterilized after filtering through sterile 0.22 µm pore-size filters (ShangHai XinYa Purification Equipment Co., Ltd., Shanghai, China). The microalgal strain C. vulgaris was grown in all these dilutions of wastewater for biomass production. Pre-cultured microalgae were centrifuged at 3700× g at 20 °C for 5 min. After the supernatant was discarded, the microalgal cells were washed twice with sterile distilled water, and an OD of 0.2 was set using a spectrophotometer (Hach, Loveland, CO, USA) at 750 nm absorbance. Indoor culture conditions were maintained in a growth chamber with a temperature of 25 ± 1 °C and 14:10 h light:dark cycle at intensity of 100–120 µmol m−2 s−1 provided with cool white fluorescent lamps. Agitation in culturing flasks was maintained by using air mixed with 2% CO2.
After culturing, Enterobacter sp. MN17 was placed in a shaking incubator (Firstek Scientific, Tokyo, Japan) at 150 rpm for 48 h at 25 ± 2 °C, and the culture was centrifuged (3020× g rpm for 3 min) followed by washing with sterile distilled water. The initial concentrations of MN17 was determined as 2.3 × 105 cells mL−1, whereas the inoculum ratio of Chlorella to Enterobacter was 5:1, which was selected based on the preliminary testing of the effective consortium ratio. The higher Chlorella to Enterobacter ratio was selected based on the fact that a bacterial population does not result in an uncontrolled culture, and a good productivity and removal of heavy metals should be maintained under a higher microalgae population.

2.4. Analytical Procedures

Chemical oxygen demand was determined by following the method described by [25]. The samples were oxidized by potassium dichromate (K2Cr2O7) in sulfuric acid. Silver sulfate (AgSO4) and mercuric sulfate (HgSO4) were used as catalysts. The excess dichromate concentration was measured by titration with ferrous ammonium sulfate. Decolorization was measured by using the difference between spectrophotometer absorbance readings before and after the experiment. The maximum absorbance wavelength (λmax) was determined using a spectrophotometer (Hach, Loveland, CO, USA) at wavelengths ranging between 250 and 700 nm of the wastewater sample. After microalgae culturing in selected dilutions, the cells were harvested by centrifugation at 3500 rpm for 5 min. The supernatant was collected and again subjected to absorption spectrums till the disappearance of the absorbance peaks at λmax. Percentage color removal was calculated as follows:
% decolorization = (Initial λmax − final λmax/initial λmax) × 100%
The amount of heavy metals in the prepared wastewater samples was determined by using an atomic absorption spectrophotometer (AAS) (Hitachi Polarized Zeeman AAS, Z-8200, Japan), following the conditions described by [25,26]. The metal removal efficiency (RE) was calculated using the following equation:
Removal efficiency (RE%) = xi − xf/xi × 100
where xi is the parameter value before the experiment, and xf is the parameter value after the experiment. For dry weight, cells were harvested by filtration (Whatman GF/C) after drying the pre-weighed filter at 105 °C in an oven for 24 h followed by cooling in a desiccator for 30 min; dry weight was determined by using the following formula:
Dry   weight   ( g / L ) = ( Weight   of   filter   with   algal   sample weight   of   filter   before ) volume   of   sample × 1000

2.5. Statistical Data Analysis

Statistical analysis was carried out using SPSS 16.0 (Chicago, IL, USA) for windows. A completely randomized design (CRD) factorial test followed by least significant difference (LSD) was used to analyze data and to check the significance of treatments at a 5% level of significance. Data were presented as mean ± standard deviation unless otherwise stated. All the graphs were prepared on Microsoft Excel 365 version.

3. Results

3.1. Growth Comparison of C. vulgaris vs. C. vulgaris–Enterobacter sp. Mn17 Consortium

The growth of C. vulgaris reached its maximum level after day 4 and then levelled off, whereas for the consortium, the C. vulgaris response was much better even after 96 h. Maximum biomass was achieved with bacterial inoculated culture of 2.97 g L−1 with a maximum biomass productivity of 0.902 g L−1day−1, which was much higher than the individual algal culture, with a maximum biomass of 2.18 g L−1 and a maximum biomass productivity of 0.67 g L−1day−1. Growth on the first day was the same for both cases but on the second day showed the highest difference, which might be the result of more CO2 incorporation to the biomass, which further increased nutrient uptake (Figure 1).

3.2. Effects of Algal–Bacterial Consortium on Wastewater Treatment

3.2.1. Decolorization Assay

The effect of C. vulgaris individually and in combination with Enterobacter sp. MN17 on decolorization of three diluted concentrations of textile dyeing unit wastewater is shown in (Figure 2). The coloring was removed from all the dilutions to varying extents. The efficiency of C. vulgaris in decolorization was 43%, 37%, and 29% at wastewater dilutions of 5, 10, and 20%, respectively. However, decolorization with application of C. vulgaris in combination with Enterobacter sp. MN17 was much better as compared to the individual application of C. vulgaris, as decolorization RE was increased up to 71.5%, 56%, and 49% in all (5, 10, and 20%) dilutions, respectively, which was much better than with only microalgae. An increase in microalgal biomass was observed with Enterobacter sp. MN17 application, which resulted in more decolorization. Color removal by C. vulgaris decreased with the increase in initial color, especially in medium containing 20% wastewater, whereas bacteria assisted microalgae to perform better in more toxic environments. Maximum decolorization was recorded at 5% dilution while inoculation of bacteria had significant effect on decolorization (Figure 2). In general, Enterobacter sp. MN17 improved the growth of C. vulgaris in all dilutions that resulted in enhanced decolorization.

3.2.2. Removal of Heavy Metals

The dying unit wastewater contained various heavy metals of which Cr, Cd, Cu, and Pb were found above the permissible limits, whereas others were below the acceptable limits, which is why they were ignored in this study. In the present study, Cr, Cd, Cu, and Pb concentration ranges were 1.32–2.02 mg L−1, 0.79–1.08 mg L−1, 1.33–1.88 mg L−1, and 1.21–1.58 mg L−1, respectively, in all wastewater dilutions. The concentrations of these heavy metals in different dilutions are presented in (Table 1).
The removal of Cr, Cd, Cu, and Pb by C. vulgaris was individually compared to the consortium of C. vulgaris and Enterobacter sp. MN17 from initial concentrations with their removal efficiencies in (Table 1). The highest concentrations were found for Cu followed by Cr, Pb, and Cd in all three dilutions. Removal efficiency of Cr (Figure 3) was 58%, 56%, and 44%, respectively, by algae, while RE by the algal–bacterial consortium for Cr was 79%, 71%, and 62% at 5%, 10%, and 20% dilutions, respectively. Algae removed Cd at all dilutions. Cd (Figure 4) removal by algae at 5% dilution ranged from 0.79 mg L−1 to 0.32 mg L−1 (RE 59%), at 10% dilution Cd decreased from 0.91 mg L−1 to 0.68 mg L−1 (RE 25%), and at 20% dilution level Cd decreased from 1.08 mg L−1 to 0.69 mg L−1 (RE 36%). The algal–bacterial consortium showed better results for Cd treatment with an RE of 93%, 53%, and 36% at 5%, 10%, and 20% dilutions, respectively, over other studied metals.
By the end of the experiment, residual quantities of Cr, Cd, Cu, and Pb were still detected, reaching concentrations of 0.56, 0.32, 0.73, and 0.47 mg L−1, with algae, whereas they reached concentrations of 0.27, 0.14, 0.37, and 0.25 mg L−1 with the microalgal–bacterial consortium, respectively, at 5% dilution level. Results indicated that the lowest RE at 5% dilution was achieved for Cu (45%) (Figure 5) and the highest for Pb (61%) (Figure 6) by algae, while the algal–bacterial consortium showed the highest RE for Cd (93%) (Figure 4) and the lowest for Cu (72%) at 5% dilution. At all dilution levels, heavy metal removal improved with bacterial inoculation due to higher growth of C. vulgaris, except for Cd (37%) at 20% dilution, which is contradictory to results for other metals from the same study, which might be due to the decreased uptake efficiency of C. vulgaris.
Removal efficiencies of C. vulgaris and the C. vulgarisEnterobacter sp. MN17 consortium for COD in textile wastewater treatment are given in (Table 1). Removal efficiency of C. vulgaris at 5%, 10%, and 20% dilutions were 49%, 41%, and 30%, respectively, for COD. The concentration of COD in the control was 755, 820, and 871 mg L−1 at 5%, 10%, and 20% dilutions, respectively, which decreased to 395, 486, and 601 mg L−1 by C. vulgaris, and to 200, 387, and 545 mg L−1 by the C. vulgaris and Enterobacter sp. MN17 consortium in the corresponding dilution levels, respectively. The highest removal efficiencies of 49% and 74% were achieved by C. vulgaris and the consortium, respectively, at 5% dilution level in both treatments. Thus, the results revealed that the algal–bacterial consortium had comparatively high COD removal efficiency as compared to algae.

4. Discussion

Application of growth promoting bacteria for enhancing plant growth has recently achieved much attention under normal as well as stressed environments [27,28,29,30], but utilization of these bacteria for algae culturing was scarcely evaluated, especially for wastewater treatment. Here, we evaluated the potential of Enterobacter sp. MN17, a potential growth promoting bacterium, for enhancing algal growth in a textile wastewater treatment system. Bacteria can assist microalgae in multiple ways to improve productivity or decrease toxicity of a medium. Microalgae in symbiotic association with bacteria may help deoxygenate the culture media and avoid oxyinhibition. Alternatively, microalgae may serve as a habitat for bacteria for protection from severe environmental conditions [15]. Bacteria also decrease the time to half, required by algae for wastewater treatment, to achieve standard limits of wastewater [31].
We found 0.8 g L−1 more biomass by application of Enterobacter sp. MN17 to C. vulgaris culture. Maximum biomass productivity of 0.902 g L−1 day−1 was achieved with Enterobacter sp. MN17, which is also higher compared to only C. vulgaris for the same period. In the C. vulgaris–Enterobacter consortium, NO3 concentration on the fourth day of cultivation was only 56 mg L−1, which might be the reason for decreased growth after the fourth day, which at the end of the fifth day further decreased to 21 mg L−1. The authors in [32] cultured C. vulgaris with Bacillus pumilus and reported enhanced growth of C. vulgaris after 48 h, which in the MN17 case, started after a 24 h period, which means MN17 also played a role in shortening the lag phase. The authors in [33] also cultured Azospirillum brasilense, a growth promoting bacteria, with C. vulgaris and reported enhanced nutritional capacity of C. vulgaris with bacterial association, which aligns with the results of our study.
Coloring agents are main components of textile industry effluents, which are highly hazardous to the environment. Microalgae play a significant role in the decolorization of these effluents in a cost-effective way by the adsorption of dyes on algal cells [34], while other studies reported that color removal from effluents using microalgae involves biosorption [35]. Chlorella sp. has the ability to decolorize the textile wastewater over a certain range of toxicity, but with increases in toxicity, its ability to decolorize dyed water decreases. We found decolorization efficiency of 29–43% for C. vulgaris and 49–71.5% for the Chlorella–Enterobacter consortium in corresponding dilutions. These results are in good agreement with [36], who observed that the decolorization is actually linked with active C. vulgaris growth, which supports our results of enhanced decolorization by Enterobacter sp. MN17. The present study also indicated that growth promoting bacterium Enterobacter sp. MN17 assisted C. vulgaris growth in toxic conditions, resulting in enhanced color removal efficiency.
Concentrations of all the studied heavy metal were beyond the permissible limits of 1 mg L−1 Cr, 1 mg L−1 Cu, 0.5 mg L−1 Pb, and 0.1 mg L−1 Cd given by Punjab Environmental Quality Standards for Municipal and Liquid Industrial Effluents (PEQS) [37] and also greater than the reported values from previous studies [38,39]. Abnormal growth of C. vulgaris occurs if heavy metal concentration increases to a certain range [40], which is why textile wastewater was subjected to different dilutions to decrease the toxicity level for microalgae, and also why Enterobacter sp. MN17 was selected to assist microalgae in coping with the more toxic environment.
Almost all autotrophic microorganisms have the capability to fix heavy metals by a variety of processes such as physical adsorption, chelation, chemisorption, ion exchange, precipitation, and crystallization on the cell surface or extracellular metabolites [11,41]. The removal efficiencies (Table 1) of these metals were affected by their initial concentrations in the present study. Our results for initial concentrations were consistent with previous studies [17,42], revealing a direct link between removal efficiency and initial concentration of pollutants. In this study, removal of metals was improved by diluting the textile wastewater to varying extents. At these dilutions, removal efficiency of C. vulgaris varied widely in the ranges of 44–58%, 25–59%, 32–45%, and 39–61% for Cr, Cd, Cu, and Pb, respectively, whereas in the case of the algal–bacterial consortium, RE varied in the ranges of 62–79%, 37–93%, 60–72%, and 63–79%, respectively. The removal of these metals involves a combination of several processes, including metal species, initial concentration, and bacterial abundance [42].
In the present study, Cu RE ranged between 32 and 45% in their corresponding dilutions by C. vulgaris, which is in contrast to studies reporting RE of C. vulgaris as 55% and Chlorella pyrenoidosa as 80% [43] and [17]. The initial Cu concentrations in [43] and [17] were much lower than our three dilution levels. Less removal in our study might be due to the saturation of C. vulgaris. Similar results were reported by authors in [44], who studied the contact time for biosorption of Cu with Scenedesmus obliquus and reported high initial removal followed by a decrease in performance due to saturation. Cadmium RE at 20% dilution was very low for both microalgae and the microalgae–bacteria consortium, which might be due to the inability of C. vulgaris to store Cd in its biomass, but still, results in this study are much more satisfactory compared to other studies. The authors in [45] achieved only 24.1 ± 3.1% of Cd removal from simulated wastewater using Scenedesmus incrassatulus. Authors in [42] also reported lower RE for Cr, Cd, and Pb by C. vulgaris. Cadmium results of 20% dilution by both microalgae and consortia align with our study, but for Cr and Pb, our study results are contradictory to the findings of [42]. A possible reason for higher RE for some metals might be that these metals were used by microalgae for maintenance of their activities and functions [46].
Gupta et al. [47] tested COD RE (%) of Chlorella sorokiniana and Scenedesmus obliquus from raw sewage wastewater. They achieved 76.13 ± 1.59% COD removal by S. obliquus and 69.38 ± 1.81% by C. sorokiniana, which are much higher than our results found by C. vulgaris but closer to the Chlorella–Enterobacter consortium. The reason for higher RE in [47] might be that the initial COD was only 320.07 ± 3.78 mg L−1, which is much lower compared to our study. Comparing the RE of S. obliquus and C. sorokiniana with the C. vulgaris–Enterobacter consortium results from our study revealed that the Chlorella–Enterobacter consortium is more efficient for COD removal. Authors in [48] studied the symbiotic relationship of wastewater borne bacteria and C. vulgaris and reported enhanced COD removal. Wastewater borne bacteria break down complex organic compounds into simple molecules, which make nutrients usable for algae, thus removing higher amounts of COD; but Enterobacter is a growth promoting endophytic bacteria, so higher pollutant removal in our study was due to the enhanced growth of C. vulgaris in the presence of Enterobacter sp. MN17.
The concentrations of all heavy metals for microalgae–bacteria treatment after harvesting were much lower than permissible limits of PEQS except for those of Cd, which were in range of only 5% dilution. Keeping in view these results, wastewater was safe to release to water bodies or to use for irrigation purposes. Although application of bacteria improved heavy metal removal efficiency in diluted samples, culturing microalgae in real textile wastewater still needs a breakthrough in research. For higher degradation and removal of toxic pollutants, attention should be given to developing an effective and efficient consortium where either genetically engineered microalgae or bacteria should be involved for higher efficiencies [31].
For microalgae growth, the dilutions of textile wastewater are limited due to the high cost of clean water, increased volume, artificial nutrients for improving the efficiency, and other inconvenient factors regarding operation and maintenance of the treatment system at a large scale. Therefore, development of an efficient system that allows microalgae to grow well in undiluted textile wastewater is very important. For the same reason, authors in [49] introduced a biofilm-attached culture system for swine wastewater for making the application of microalgae-based technology environmentally and economically feasible for large scale wastewater treatment operations that reduced the pollutant toxicity with improved microalgal growth. Some researchers also proposed mixed microalgae cultures for enhancing nutrient and heavy metal uptake from wastewater and proposed that one microalga can remove N, whereas another can remove metals [50,51,52] from wastewater. Application of bacteria to microalgae-based treatment systems is also a novel approach for reducing the toxicity of wastewater and improving algal growth, but this field still needs much attention to be able to replace chemical-based costly technologies with no or little resource recovery.

5. Conclusions

The present investigation revealed considerable growth of the microalgae strain C. vulgaris in different dilution levels of textile wastewater. Addition of bacterial inoculation (Enterobacter sp. MN17) to the treatment system further enhanced the biomass production and remediation potential of C. vulgaris, resulting in the effective removal of color, metals, and other contaminants from wastewater. Removal of COD from wastewater by C. vulgaris was 49% at 5% dilution, which increased to 74% with bacterial inoculation. Similarly, significant removal efficiencies were also achieved for all the studied heavy metals (Pb, Cd, Cr, and Cu). The maximum removal achieved was 59% by microalgae and 93% by the microalgal–bacterial consortium for Cd at a 5% dilution level of wastewater. The resulting algal biomass after wastewater treatment can be profitably converted into bioenergy, thus making this biological process more feasible, reliable, and appealing with the dual benefits of waste reduction and bioenergy production in an economical and environmentally-friendly and sustainable way.

Author Contributions

Conceptualization, M.N. and M.H.S.; methodology, M.M.; software, A.M., K.S.B.; validation, A.M., S.A. (Sobia Ashraf), and M.H.S.; formal analysis, M.M.; investigation, M.N.; resources, M.N.; data curation, M.M.; writing—original draft preparation, M.M.; writing—review and editing, M.N.; visualization, S.A. (Sobia Ashraf); supervision, M.N., M.Z.-Ś., H.M.K. and M.S.; project administration, M.N.; funding acquisition, S.A. (Saud Alamri). All authors have read and agreed to the published version of the manuscript.

Funding

Researchers Supporting Project number (RSP-2020/194), King Saud University, Riyadh, Saudi Arabia. The scientific research was funded by the statute subvention of Czestochowa University of Technology, Faculty of Infrastructure and Environment-BS/PB/400-301/20.

Acknowledgments

The authors would like to extend their sincere appreciation to the Researchers Supporting Project number (RSP-2020/194), King Saud University, Riyadh, Saudi Arabia.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Aslam, M.M.; Baig, M.; Hassan, I.; Qazi, I.A.; Malik, M.; Saeed, H. Textile wastewater characterization and reduction of its cod and bod by oxidation. Electron. J. Environ. Agric. Food Chem. 2004, 3, 804–811. [Google Scholar]
  2. Aleem, M.; Nasir, A.; Rashid, H. Characterization and removal of dyeing effluents by adsorption and coagulation methods. J. Agric. Res. 2016, 54, 97–106. [Google Scholar]
  3. Bibi, R.; Ditta, A.; Hussain, A.; Noureen, S.; Khalid, A.; Aziz, I. Production of Algal Biomass Using Different Dilutions of Textile Effluent Wastewater. Sci. Lett. 2016, 4, 71–77. [Google Scholar]
  4. Kant, R. Textile dyeing industry an environmental hazard. Nat. Sci. 2012, 4, 22–26. [Google Scholar] [CrossRef] [Green Version]
  5. Sivakumar, D.; Shankar, D.; Prathima, A.V.; Valarmathi, M. Constructed wetland treatment of textile industry wastewater using aquatic macrophytes. Int. J. Environ. Sci. 2013, 3, 1223. [Google Scholar]
  6. Shaheen, S.R.; Akbar, I.; Malik, W.; Asif, M. Syndicate Report, Textile Sector Is the Backbone of Pakistan’s Economy. The Ill Faced by Sector and Its Contribution towards Economic Development; FBR report; Govt. of Pakistan: Islamabad, Pakistan, 2010; pp. 22–23.
  7. Abdel-Raouf, N.; Al-Homaidan, A.; Ibraheem, I. Microalgae and wastewater treatment. Saudi J. Biol. Sci. 2012, 19, 257–275. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  8. Huma, H.; Mehmood, Q.; Parvez, A.; Bhatti, Z.A.; Baig, S.A. Comparative decolorizations of dyes in textile wastewater using biological and chemical treatment. Sep. Purif. Technol. 2015, 154, 149–153. [Google Scholar]
  9. Talaie, A.; Beheshti, M.; Talaie, M.R. Screening and batch treatment of wastewater containing floating oil using oil-degrading bacteria. Desalin. Water. Treat. 2011, 28, 108–114. [Google Scholar] [CrossRef]
  10. Kim, S.; Dale, B.E. Allocation procedure in ethanol production system from certain grain system expansion. Int. J. Life Cycle Assess. 2007, 7, 237–243. [Google Scholar] [CrossRef]
  11. Munoz, R.; Guieysse, B. Algal–bacterial processes for the treatment of hazardous contaminants: A review. Water Res. 2006, 40, 2799–2815. [Google Scholar] [CrossRef]
  12. Mujtaba, G.; Rizwan, M.; Lee, K. Removal of nutrients and COD from wastewater using symbiotic co-culture of bacterium Pseudomonas putida and immobilized microalga Chlorella vulgaris. J. Ind. Eng. Chem. 2017, 49, 145–151. [Google Scholar] [CrossRef]
  13. Bordel, S.; Guieysse, B.; Munoz, R. Mechanistic model for the reclamation of industrial wastewaters using algal− bacterial photobioreactors. Environ. Sci. Technol. 2009, 43, 3200–3207. [Google Scholar] [CrossRef]
  14. Wierzchos, J.; DiRuggiero, J.; Vítek, P.; Artieda, O.; Souza-Egipsy, V.; Skaloud, P.; Tisza, M.; Davila, A.F.; Vílchez, C.; Garbayo, I. Adaptation strategies of endolithic chlorophototrophs to survive the hyper arid and extreme solar radiation environment of the Atacama Desert. Front. Microbiol. 2015, 6, 934. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  15. Unnithan, V.V.; Unc, A.; Smith, G.B. Mini-review: A priori considerations for bacteria–algae interactions in algal biofuel systems receiving municipal wastewaters. Algal Res. 2014, 4, 35–40. [Google Scholar] [CrossRef]
  16. Rawat, I.; Kumar, R.R.; Mutanda, T.; Bux, F. Dual role of microalgae: Phycoremediation of domestic wastewater and biomass production for sustainable biofuels production. Appl. Energy. 2011, 88, 3411–3424. [Google Scholar] [CrossRef]
  17. Zhou, G.J.; Peng, F.Q.; Zhang, L.J.; Ying, G.G. Biosorption of zinc and copper from aqueous solutions by two freshwater green microalgae Chlorella pyrenoidosa and Scenedesmus obliquus. Environ. Sci. Pollut. Res. 2012, 19, 2918–2929. [Google Scholar] [CrossRef]
  18. Molazadeh, P.; Khanjani, N.; Rahimi, M.R.; Nasiri, A. Adsorption of lead by Microalgae Chaetoceros Sp. and Chlorella Sp. from aqueous solution. J. Community Health Res. 2015, 4, 114–127. [Google Scholar]
  19. Naveed, M.; Mitter, B.; Yousaf, S.; Pastar, M.; Afzal, M.; Sessitsch, A. The endophyte Enterobacter sp. FD17: A maize growth enhancer selected based on rigorous testing of plant beneficial traits and colonization characteristics. Biol. Fertil. Soils 2014, 50, 249–262. [Google Scholar] [CrossRef]
  20. Kube, M.; Mohseni, A.; Fan, L.; Roddick, F. Impact of alginate selection for wastewater treatment by immobilized Chlorella vulgaris. Chem. Eng. J. 2019, 358, 1601–1609. [Google Scholar] [CrossRef]
  21. Gao, F.; Cui, W.; Xu, J.P.; Li, C.; Jin, W.H.; Yang, H.L. Lipid accumulation properties of Chlorella vulgaris and Scenedesmus obliquus in membrane photobioreactor (MPBR) fed with secondary effluent from municipal wastewater treatment plant. Renew. Energy 2019, 136, 671–676. [Google Scholar] [CrossRef]
  22. Saeed, Z.; Naveed, M.; Imran, M.; Bashir, M.A.; Sattar, A.; Mustafa, A.; Hussain, A.; Xu, M. Combined use of Enterobacter sp. MN17 and zeolite reverts the adverse effects of cadmium on growth, physiology and antioxidant activity of Brassica napus. PLoS ONE 2019, 14, e0213016. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  23. Naveed, M.; Mustafa, A.; Majeed, S.; Naseem, Z.; Saeed, Q.; Khan, A.; Nawaz, A.; Baig, K.S.; Chen, J.T. Enhancing cadmium tolerance and pea plant health through Enterobacter sp. MN17 inoculation together with biochar and gravel sand. Plants 2020, 9, 530. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  24. Sabir, A.; Naveed, M.; Bashir, M.A.; Hussain, A.; Mustafa, A.; Zahir, Z.A.; Kamran, M.; Ditta, A.; Núñez-Delgado, A.; Saeed, Q.; et al. Cadmium mediated phytotoxic impacts in Brassica napus: Managing growth, physiological and oxidative disturbances through combined use of biochar and Enterobacter sp. MN17. J. Environ. Manag. 2020, 265, 110522. [Google Scholar] [CrossRef] [PubMed]
  25. American Public Health Association. Standard Methods for the Examination of Water and Wastewater, 20th ed.; American Public Health Association/American Water Works Association/Water Environment Federation: Washington, DC, USA, 1998. [Google Scholar]
  26. AOAC. Official Methods of Analyses of the Association of Analytical Chemist, 15th ed.; AOAC: Washington, DC, USA, 1990. [Google Scholar]
  27. Mustafa, A.; Naveed, M.; Saeed, Q.; Ashraf, M.N.; Hussain, A.; Abbas, T.; Kamran, M.; Minggang, X. Application potentials of plant growth promoting rhizobacteria and fungi as an alternative to conventional weed control methods. In Crop Production; IntechOpen: London, UK, 2019. [Google Scholar]
  28. Mustafa, A.; Naveed, M.; Abbas, T.; Saeed, Q.; Hussain, A.; Ashraf, M.N.; Minggang, X. Growth response of wheat and associated weeds to plant antagonistic rhizobacteria and fungi. Ital. J. Agron. 2019, 14, 191–198. [Google Scholar] [CrossRef]
  29. Arkhipova, T.; Galimsyanova, N.; Kuzmina, L.; Vysotskaya, L.; Sidorova, L.; Gabbasova, I.; Melentiev, A.; Kudoyarova, G. Effect of seed bacterization with plant growth-promoting bacteria on wheat productivity and phosphorus mobility in the rhizosphere. Plant Soil Environ. 2019, 65, 313–319. [Google Scholar] [CrossRef]
  30. Naveed, M.; Mustafa, A.; Azhar, S.Q.T.A.; Kamran, M.; Zahir, Z.A.; Núñez-Delgado, A. Burkholderia phytofirmans PsJN and tree twigs derived biochar together retrieved Pb-induced growth, physiological and biochemical disturbances by minimizing its uptake and translocation in mung bean (Vigna radiata L.). J. Environ. Manag. 2020, 257, 109974. [Google Scholar] [CrossRef]
  31. Gonçalves, A.L.; Pires, J.C.; Simões, M. Wastewater polishing by consortia of chlorella vulgaris and activated sludge native bacteria. J. Clean. Prod. 2016, 133, 348–357. [Google Scholar] [CrossRef]
  32. Hernandez, J.P.; de-Bashan, L.E.; Rodriguez, D.J.; Rodriguez, Y.; Bashan, Y. Growth promotion of the freshwater microalga Chlorella vulgaris by the nitrogen-fixing, plant growth-promoting bacterium Bacillus pumilus from arid zone soils. Eur. J. Soil Biol. 2009, 45, 88–93. [Google Scholar] [CrossRef]
  33. De-Bashan, L.E.; Hernandez, J.P.; Morey, T.; Bashan, Y. Microalgae growth-promoting bacteria as ‘‘helpers’’ for microalgae: A novel approach for removing ammonium and phosphorus from municipal wastewater. Water Res. 2007, 38, 466–474. [Google Scholar] [CrossRef]
  34. Chen, K.C.; Wu, J.Y.; Liou, D.J.; Hwang, S.C.J. Decolorization of the textile dyes by newly isolated bacterial strains. J. Biotechnol. 2003, 101, 57–68. [Google Scholar] [CrossRef]
  35. Chu, W.L.; See, Y.C.; Phang, S.M. Use of immobilised Chlorella vulgaris for the removal of colour from textile dyes. J. Appl. Phycol. 2009, 21, 641–648. [Google Scholar] [CrossRef]
  36. Lim, S.L.; Chu, W.L.; Pang, S.M. Use of Chlorella vulgaris for bioremediation of textile wastewater. Bioresour. Technol. 2010, 101, 7314–7322. [Google Scholar] [CrossRef]
  37. Government of Punjab. Punjab Environmental Quality Standards for Municipal and Liquid Industrial Effluents (PEQS); Government of Punjab: Chandigarh, India, 2016.
  38. Yaseen, M.; Aziz, M.Z.; Jafar, A.A.; Naveed, M.; Saleem, M. Use of textile waste water along with liquid NPK fertilizer for production of wheat on saline sodic soils. Int. J. Phytoremediation 2016, 18, 502–508. [Google Scholar] [CrossRef]
  39. Yaseen, M.; Aziz, M.Z.; Komal, A.; Naveed, M. Management of textile wastewater for improving growth and yield of field mustard (Brassica campestris L.). Int. J. Phytoremediation 2017, 19, 798–804. [Google Scholar] [CrossRef] [PubMed]
  40. Travieso, L.; Cañizares, R.O.; Borja, R.; Benítez, F.; Domínguez, A.R.; Dupeyrón, R.; Valiente, V. Heavy metal removal by Microalgae. Bull. Environ. Contam. Toxicol. 1999, 62, 144–151. [Google Scholar] [CrossRef] [PubMed]
  41. Goharshadi, E.K.; Moghaddam, M.B. Adsorption of hexavalent chromium ions from aqueous solution by graphene nanosheets: Kinetic and thermodynamic studies. Int. J. Environ. Sci. Technol. 2015, 12, 2153–2160. [Google Scholar] [CrossRef]
  42. Zhou, G.J.; Ying, G.G.; Liu, S.; Zhou, L.J.; Chen, Z.F.; Peng, F.Q. Simultaneous removal of inorganic and organic compounds in wastewater by freshwater green microalgae. Environ. Sci. Process. Impacts 2014, 16, 2018–2027. [Google Scholar] [CrossRef]
  43. Urrutia, C.; Yanez-Mansilla, E.; Jeison, D. Bioremoval of heavy metals from metal mine tailings water using microalgae biomass. Algal Res. 2019, 43, 101659. [Google Scholar] [CrossRef]
  44. Rinanti, A.; Fachrul, M.F.; Hadisoebroto, R.; Silalahi, M.D. Biosorption of cu (II) by Scenedesmus Obliquus: Optimization in Phovasoli Haemotococcus medium. Int. J. GEOMATE 2018, 15, 45–52. [Google Scholar] [CrossRef]
  45. Pena-Castro, J.M.; Martínez-Jerónimo, F.; Esparza-García, F.; Cañizares-Villanueva, R.O. Heavy metals removal by the microalga Scenedesmus incrassatulus in continuous cultures. Bioresour. Technol. 2004, 94, 219–222. [Google Scholar] [CrossRef]
  46. Chanpiwat, P.; Sthiannopkao, S.; Kim, K.W. Metal content variation in wastewater and biosludge from Bangkok’s central wastewater treatment plants. Microchem. J. 2010, 95, 326–332. [Google Scholar] [CrossRef]
  47. Gupta, S.K.; Ansari, F.A.; Shriwastav, A.; Sahoo, N.K.; Rawat, I.; Bux, F. Dual role of Chlorella sorokiniana and Scenedesmus obliquus for comprehensive wastewater treatment and biomass production for bio-fuels. J. Clean. Prod. 2016, 115, 255–264. [Google Scholar] [CrossRef] [Green Version]
  48. Ma, X.; Zhou, W.; Fu, Z.; Cheng, Y.; Min, M.; Liu, Y.; Zhang, Y.; Chen, P.; Ruan, R. Effect of wastewater-borne bacteria on algal growth and nutrients removal in wastewater-based algae cultivation system. Bioresour. Technol. 2014, 167, 8–13. [Google Scholar] [CrossRef] [PubMed]
  49. Cheng, P.; Wang, Y.; Liu, T.; Liu, D. Biofilm Attached Cultivation of Chlorella pyrenoidosa Is a Developed System for Swine Wastewater Treatment and Lipid Production. Front. Plant Sci. 2017, 8, 1594. [Google Scholar] [CrossRef] [PubMed]
  50. Shahid, A.; Malik, S.; Zhu, H.; Xu, J.; Nawaz, M.Z.; Nawaz, S.; Alam, M.A.; Mehmood, M.A. Cultivating microalgae in wastewater for biomass production, pollutant removal, and atmospheric carbon mitigation; a review. Sci. Total Environ. 2020, 704, 135303. [Google Scholar] [CrossRef] [PubMed]
  51. Zabochnicka-Świątek, M.; Krzywonos, M.; Kalaji, H.M.; El-Sheery, N.I.; Bień, J.B. Influence of clinoptilolite on the efficiency of heavy metal removal from wastewater by C. vulgaris. Desalin. Water Treat 2018, 117, 49–57. [Google Scholar] [CrossRef]
  52. Zabochnicka-Świątek, M.; Kamizela, T.; Kowalczyk, M.; Kalaji, H.M.; Bąba, W. Inexpensive and universal growing media for biomass production of microalgae. Glob. NEST J. 2019, 21, 82–89. [Google Scholar]
Figure 1. Biomass changes of Chlorella vulgaris and C. vulgaris–Enterobacter sp. MN17 consortium in BG-11 media.
Figure 1. Biomass changes of Chlorella vulgaris and C. vulgaris–Enterobacter sp. MN17 consortium in BG-11 media.
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Figure 2. Efficiency of algae and algal–bacterial consortium for decolorization of textile industry wastewater with respect to their control values at different dilution levels. Columns show mean values and bars show standard deviation (SD) of means. All means followed by different letters were significantly different according to Tukey HSD (honestly significant difference) test at p < 0.05.
Figure 2. Efficiency of algae and algal–bacterial consortium for decolorization of textile industry wastewater with respect to their control values at different dilution levels. Columns show mean values and bars show standard deviation (SD) of means. All means followed by different letters were significantly different according to Tukey HSD (honestly significant difference) test at p < 0.05.
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Figure 3. Efficiency of algae and algal–bacterial consortium for chromium removal from textile industry wastewater. Column shows mean values, and bars shows standard deviations (SD) of means. All means followed by different letters were significantly different according to Tukey HSD test at p < 0.05.
Figure 3. Efficiency of algae and algal–bacterial consortium for chromium removal from textile industry wastewater. Column shows mean values, and bars shows standard deviations (SD) of means. All means followed by different letters were significantly different according to Tukey HSD test at p < 0.05.
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Figure 4. Efficiency of algae and algal–bacterial consortium for cadmium removal from textile industry wastewater at different dilution levels. Column shows mean values, and bars shows standard deviation (SD) of means. All means followed by different letters were significantly different according to Tukey HSD test at p < 0.05.
Figure 4. Efficiency of algae and algal–bacterial consortium for cadmium removal from textile industry wastewater at different dilution levels. Column shows mean values, and bars shows standard deviation (SD) of means. All means followed by different letters were significantly different according to Tukey HSD test at p < 0.05.
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Figure 5. Efficiency of algae and algal–bacterial consortium for copper removal from textile industry wastewater at different dilution levels. Columns show mean values, and bars show standard deviation (SD) of means. All means followed by different letters were significantly different according to Tukey HSD test at p < 0.05.
Figure 5. Efficiency of algae and algal–bacterial consortium for copper removal from textile industry wastewater at different dilution levels. Columns show mean values, and bars show standard deviation (SD) of means. All means followed by different letters were significantly different according to Tukey HSD test at p < 0.05.
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Figure 6. Efficiency of algae and algal–bacterial consortium for lead removal from textile industry wastewater at different dilution levels. Column shows mean values, and bars shows standard deviation (SD) of means. All means followed by different letters were significantly different according to Tukey HSD test at p < 0.05.
Figure 6. Efficiency of algae and algal–bacterial consortium for lead removal from textile industry wastewater at different dilution levels. Column shows mean values, and bars shows standard deviation (SD) of means. All means followed by different letters were significantly different according to Tukey HSD test at p < 0.05.
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Table 1. Pollutant removal efficiencies of microalgae and microalgal–bacterial consortium from textile industry wastewater at different dilution levels.
Table 1. Pollutant removal efficiencies of microalgae and microalgal–bacterial consortium from textile industry wastewater at different dilution levels.
ParametersDilution LevelControl mg L−1Removal Efficiency (%)
AlgaeAlgae + Bacteria
Chromium (Cr)5%1.325879
10%1.795671
20%2.024462
Cadmium (Cd)5%0.795993
10%0.912553
20%1.083637
Copper (Cu)5%1.334572
10%1.493262
20%1.883260
Lead (Pb)5%1.216179
10%1.415370
20%1.583963
Chemical oxygen demand (COD)5%7551974
10%8204153
20%8713038
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Mubashar, M.; Naveed, M.; Mustafa, A.; Ashraf, S.; Shehzad Baig, K.; Alamri, S.; Siddiqui, M.H.; Zabochnicka-Świątek, M.; Szota, M.; Kalaji, H.M. Experimental Investigation of Chlorella vulgaris and Enterobacter sp. MN17 for Decolorization and Removal of Heavy Metals from Textile Wastewater. Water 2020, 12, 3034. https://doi.org/10.3390/w12113034

AMA Style

Mubashar M, Naveed M, Mustafa A, Ashraf S, Shehzad Baig K, Alamri S, Siddiqui MH, Zabochnicka-Świątek M, Szota M, Kalaji HM. Experimental Investigation of Chlorella vulgaris and Enterobacter sp. MN17 for Decolorization and Removal of Heavy Metals from Textile Wastewater. Water. 2020; 12(11):3034. https://doi.org/10.3390/w12113034

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Mubashar, Muhammad, Muhammad Naveed, Adnan Mustafa, Sobia Ashraf, Khurram Shehzad Baig, Saud Alamri, Manzer H. Siddiqui, Magdalena Zabochnicka-Świątek, Michał Szota, and Hazem M. Kalaji. 2020. "Experimental Investigation of Chlorella vulgaris and Enterobacter sp. MN17 for Decolorization and Removal of Heavy Metals from Textile Wastewater" Water 12, no. 11: 3034. https://doi.org/10.3390/w12113034

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