Decolorisation of different dyes by the consortium
Decolorisation studies were conducted with eleven different dyes, namely; AB210, AB194, RR223, RO122, AY23, RB25, RR111, DY44, DR254, AB15, and RR2; inoculated with the developed consortium showed ≥ 60% decolourisation of different dyes (Fig. 2). The maximum decolourization and degradation were observed with the dye DY44 (~ 99.66%), whereas the minimum decolourization effect was seen on RO223 dye (~ 89.66%). The observed variation in the decolourisation of different dyes by the developed indigenous consortium might be attributable to the structural diversity of the dyes and due to the various enzymatic activities of the consortium.
The dyes with simple structures and low molecular weights were decolourised faster than the dyes with complex structures and/or high molecular weight. The presence of sulfonates in the azo dyes further increases resistance to dye decolourisation. In our study, the indigenously developed consortium decolourise dyes containing one or two azo bonds and lesser sulfonate groups (RO122, RR223, AY23, RR2, and AB194). However, RO122 and RR223 have four sulfonate groups and thereby have a decreased extent of decolourisation. RB25 has a copper metal complex, so its rate of decolourisation was also less. However, this study shows the efficiency of the developed consortium to decolourise varieties of dyes due to adaptation and selection of microbial population and demonstrated the suitability of the developed consortium to treat textile industry effluents which are usually laden with different types of dyes.
UV–Vis analysis of model dye
The UV–Vis spectrum of the treated and untreated model azo dye AB210 and the extracted metabolites are presented in Fig. 3. The characteristic absorbance peak of the AB210 dye at 605 nm was almost completely removed in samples from both the reactors and the UV-region absorbance area was increased after the anaerobic reaction. This indicates that the azo bond reduction through an anaerobic reaction phase was the primary mechanism for the decolourisation of the dye. The contribution of the physical adsorption in decolourisation was negligible.
FTIR spectral analysis of model dye
A comparison of the FTIR spectrum of AB210 (Fig. 4a) with degraded metabolites (after 24 h) indicated the biodegradation of the dye by the consortium. Peaks in the control spectrum showed an aromatic O-H stretch at 3435.26 cm− 1, and the peak at 1618.33 cm− 1 showed an N = N stretch (indicates the presence of azo bonds in dye). The presence of N-H deformation of secondary amines at 1552.30 cm− 1, O-H deformation of phenols was observed at 1411.31 cm− 1, S = O stretch was observed at the peak of 1318.39 cm− 1, 1211.21 cm− 1, 1045.26 cm− 1 (supports that the dye contains the sulfonated compound), peak at 1498.33 cm− 1 indicates C = C bond stretching of multiple aromatic bonds. A peak indicates c-Cl stretching at 671.43 cm− 1 and 892.51 cm− 1. The peaks at 834.50 cm− 1 and 798.47 cm− 1 indicate C-H deformation and ring stretching of trisubstituted benzene.
The FTIR spectra of metabolites (Fig. 4b), extracted after treatment with the consortium, showed the disappearance of the sharp peak at 1618.33 cm− 1 specific for azo compounds, which confirms the cleavage of azo bonds of the dye. The peak at 3368.78 cm− 1 indicates the O-H stretching of alcohol. The peaks at 2958.73 cm− 1, 2927.71 cm− 1, and 2857.76 cm− 1 show the C-H stretching of aldehydes. A sharp peak at 1727.71 cm− 1 with a supporting peak at 1384.76 cm− 1 indicates O-H stretching/deformations of aromatic alcohols, while the peak at 1273.73 cm− 1 indicates O-H deformation of secondary alcohols. The peak at 1460.76 cm− 1 and 1073.75 cm− 1 indicates the C = C stretching of multiple aromatic bonds. A peak indicates C-OH stretching of aromatic alcohol at 1038.75 cm− 1. The peak at 1123.75 cm− 1 shows C-H deformation of substituted benzene, and 771.80 cm− 1, 743.80 cm− 1, and 704.81 cm− 1 indicate C-H deformations of substituted benzenes.
The appearance of new peaks in degraded metabolites and the disappearance of the peak of the control spectrum confirmed the degradation of dye.
Scanning electron microscopy
SEM was used to study the morphological features and surface characteristics of the adsorbent materials. The brick pieces used had a highly irregular and porous surface, providing a larger surface area facilitating immobilisation and biofilm formation by microbial cells (Fig. 5a). The obtained SEM images revealed the formation of bacterial biofilm on the surface of the brick pieces. It is observed that the bacterial biofilm cells are well distributed on the surface of brick pieces that would favour the formation of biofilm. The bacterial biofilm consisted of a heterogeneous population of short and long rods, cocci, and filamentous organisms. Clusters of bacterial spheres embedded in an extracellular polymeric matrix were evident (Fig. 5b-d).
Naturally available seashells have also served as good matric material to form a bacterial biofilm system to decolourise the Acid Violet-17 by a bacterial consortium in an up-flow immobilised cell bioreactor (Sharma et al. 2004). Similarly, degradation of Reactive Red 120 using Bacillus cohnii RAPT1 immobilised on polyurethane was studied by Padmanaban et al. (2016). Bioremediation of Congo Red dye in immobilised batch and continuously packed bed bioreactor by Brevibacillus parabrevis using coconut shell bio-char is also reported (Talha et al. 2018). Azo dye decolourisation under high alkaline and saline conditions by Halomonas sp. was studied (Montañez-Barragán et al. 2020) with volcanic rocks as packing material in a PBR.
Biofilm organic analysis
The protein and carbohydrate content of the EPS formed by the consortium biofilm present on the surface of brick pieces is shown in Table 2. The protein and carbohydrate composition of EPS formed on the surface of the brick pieces used in the column during the batch phase was found to be 11.3 mg L− 1 and 6.5 mg L− 1 respectively in 10 g biofilm containing brick pieces after the decolourization of effluent in PBBR batch process, whereas, they were 14.6 mg L− 1 and 9.1 mg L− 1 in a continuous process. The EPS plays an important role in the attachment of cells to the surface of brick pieces, positively correlated with biofilm development and possibly by protecting the individual cells in the biofilm against the detrimental environment.
Table 2
Organic characterization of the matrix extracted from biofilms.
Parameter | Batch phase | Continous phase |
Biomass (mg/g of brick pieces) | 37.6 ± 0.22 | 38.3 ± 0.61 |
Protein (mg/L) | 11.3 ± 0.81 | 14.6 ± 0.17 |
Carbohydrate (mg/L) | 6.5 ± 0.43 | 9.1 ± 0.49 |
Leakage of cells (CFU/mL) | 10.45 x 106 | 12.01 x 108 |
Similar studies were conducted by Anjaneya et al., (2013) on the biofilm developed by a consortium on sheep bone chips filled in a packed bed bioreactor. The total amount of EPS and proteins are found to be 80 mg L− 1 and 135 mg L− 1 respectively in 30 g of consortium bone chips after the decolourization of Amaranth dye in a packed bed reactor.
The cell leakage studies in PBR revealed that 1.04 x 108 CFU mL− 1 of cells were released when the reactor was operated with a decolourization medium in batch mode, whereas 1.2 x 1010 CFU mL− 1 of cells were released in the effluent when the reactor was operated under continuous mode with a flow rate of 35 mL h− 1 (Table 2). From these results, it was evident that the adhered cells to the surface of brick pieces were continuously involved in the formation of biofilm in a packed bed reactor.
The cell leakage studies on packed bed reactor established by Anjaneya et al., (2013), on the biofilm developed by a consortium on sheep bone chips for the decolourization of Amaranth dye, revealed that 18.75x109 CFU ml− 1 of cells were released when the reactor is operated with decolourization medium containing peptone, yeast extract, and dye at a flow rate of 50 mL h− 1.
Biodegradation and decolourisation in PBBR in the batch process
The variation of COD removal efficiency and dye decolourisation rates during the whole operation period of the PBBR are presented in Fig. 6. The COD and ADMI removal efficiency of the reactor in the first cycle was 69.16–84.78% from the effluent having a COD value of 7500 mg L− 1 and ADMI value of 2674. On the 31st day of the batch operation, the reactor showed signs of stability. Further studies were conducted upon stabilisation of the reactor under steady-state conditions when the bioreactor performance parameters like COD, pH, and colour removal were relatively constant. According to the results shown in Fig. 6a, the maximum fraction of COD was removed from the anaerobic biofilm reactor stage. The COD removal efficiency (averaged at the 5 days of the operation period) of the reactor was 47.56–82.11% after 120 days. The average reduction in COD and decolourisation was 55 ± 8% in 22 h (Fig. 6b) for the first five cycles. The average percent decolourisation of the effluent increased during successive cycles, as evident from the values calculated over every subsequent 5 cycles. The decolourisation finally reached 93.99%, and COD reduction was 82.11% after 60 days of the batch operation. The wastewater COD and ADMI value which was 7500 mg L− 1 and 3135 respectively, initially was reduced to 1341.75 mg L− 1 and 188.41 mg L− 1, respectively during the last five cycles of operation for 60 days.
The degradation of reactive dyes was reported to be maximum in the system involving anaerobic and aerobic phases; the efficiency of the degradation depends on the microaerophilic condition provided by the matrix (Padmanaban et al., 2016). Bioremediation of Congo Red dye by immobilised Brevibacillus parabrevis using coconut shell bio-char packed bed bioreactor in batch mode was studied by Talha et al. (2018). The immobilisation of bacteria on coconut shell biochar gave a 63.23% removal for up to 300 mg L− 1 of Congo Red dye concentration.
A reticulated sponge from the dried fruit of Loofa was used as a carrier for the immobilisation of Lysinibacillus sp. RGS to decolourise sulfonated azo dye Blue HERD and 50% actual textile effluent in an up-flow column bioreactor in batch mode. Another study showed 200 mg L− 1 Blue HERD (flow rate of 40 mL h− 1) and effluent completely decolourised at 50% concentration in Waste Yeast Biomass Medium with a flow rate of 15 mL h− 1 (Bedekar et al., 2014).
Effect of nutrient addition on reactor performance
Supplementation with the nutrients (Table 3) resulted in a marked improvement in the decolourisation rate and a reduction in the average time required to achieve the desired results. For 93.99% decolourisation and 79.16% COD removal, the required time was reduced from 22 h to 9 h for the successive 18 cycles with the addition of 0.25 g L− 1 glucose as a nutrient. However, any further increase in the glucose concentration did not improve the dye removal efficiency in the PBBR system. The reduction in the reactor performance at lower glucose levels might be due to the inadequate availability of glucose to the microorganisms located deep inside the biofilm present in the pores of the brick pieces, leading to nutrient and electron donor deprivation conditions for these microorganisms.
Table 3
Effect of nutrient addition on effluent decolourisation and COD reduction in PBBR by the indigenously developed consortium.
Nutrient concentration (g L− 1) | COD reduction (%) | Time for complete decolourization (h) | Decolorization rate (mg L− 1 h− 1) |
Glucose only | | | |
0.0 | 82.11 ± 1.6 | 22 | 227.25 |
0.1 | 82.96 ± 1.0 | 12 | 416.62 |
0.2 | 83.32 ± 2.3 | 10 | 499.95 |
0.25 | 84.76 ± 1.6 | 9 | 555.50 |
0.3 | 81.98 ± 0.9 | 9 | 552.74 |
0.35 | 79.16 ± 1.1 | 9 | 549.36 |
Glucose + Urea | | | |
0.25 + 0.1 | 84.76 ± 1.9 | 9 | 555.50 |
0.25 + 0.2 | 86.98 ± 2.2 | 8 | 624.94 |
0.25 + 0.25 | 91.03 ± 1.6 | 7 | 714.21 |
0.25 + 0.3 | 91.11 ± 0.7 | 7 | 712.65 |
0.25 + 0.4 | 91.35 ± 2.3 | 7 | 714.87 |
Glucose + Urea + (KH2PO4 + K2HPO4) | | | |
0.25 + 0.25 + 0.10 | 92.43 ± 2.6 | 6 | 833.25 |
0.25 + 0.25 + 0.20 | 92.51 ± 1.6 | 6 | 834.77 |
0.25 + 0.25 + 0.30 | 93.03 ± 2.9 | 6 | 836.92 |
The addition of urea (0.25 g L− 1) and glucose facilitated a maximum of 91.35% COD removal and 95.86% decolourisation of the effluent in 7 h. It is observed that the addition of nitrogen at 0.3 and 0.4 g L− 1 showed ~ 91% reduction in COD with insignificant change in decolourization time and decolourization rate. The optimum level leads to a rapid decrease in percentagedecolourizationn. The decrease in percentage decolourization might be due to the reduction reaction involving the nitrogen in the medium and the nitrogen in the dyes (Karthikeyan et al., 2010).
Similarly, the addition of 0.25 g L− 1 glucose, 0.25 g L− 1 urea, and 0.1 g L− 1 phosphates facilitated 92.43% COD removal and 99.70% decolourisation in 6 h. Adding glucose, urea, and phosphorus alone to higher concentrations did not support higher COD removal and decolourisation of the effluent. The reactor with this optimised nutrient content was further operated for 25 days with 3 cycles each day.
During the initial cycles, the culture in the biofilm gradually acclimatised to the constituents of the dye-laden effluent, which led to a gradual decrease in the decolourisation time. The observed improvement after adding nutrients could be obviously due to the availability of carbon, nitrogen, and phosphorus sources responsible for faster growth of the organisms and metabolic activities which resulted in improved dye decolourisation rate (Sheth and Dave, 2010). Another reason for the improved dye decolourisation rate might be the stimulation of the electron transfer processes through the oxidation-reduction reactions (Santos et al., 2016) in the PBBR.
PBBR continuous process
After stabilization of the PBBR in the batch process, the wastewater treatment was carried out in continuous mode for 51 cycles for an effluent having a COD value of 8713 mg L− 1 and an ADMI value of 3100. The COD of the effluent increased to 9937 mg L− 1 upon the addition of nutrients. Figure 7 (a,b) shows the reduction in COD, ADMI values, final effluent COD, and dye concentration values, for 51 cycles averaged over every third cycle. During the continuous mode of operation the PBR showed stabilized and consistent performance with an average reduction of 92.59% and 95.13% reduction in COD and ADMI values, respectively. The COD and ADMI values of the effluent after treatment in PBBR during the period of continuous operation were 736.16 mg L− 1 and 147.98 units, respectively.
The effluent treated in PBBR was then subjected to aeration and passed subsequently through the charcoal column. Figure 8 (a,b) shows the reduction in COD, ADMI values, final effluent COD, and dye concentration values, for 51 cycles averaged over every third cycle. An additional 4.66 ± 1.08% reduction in COD and 0.77 ± 2.37% reduction in ADMI units (averaged over 51 cycles), was observed. The COD of the ready-to-discharge effluent after this three-step treatment was 240.36 ± 94.10 mg L− 1 and 124.03 ± 73.36 ADMI units (averaged over 51 cycles). A very insignificant decrease of 2.45%±0.76 in the efficiency of the charcoal reactor was noticed during the operation of the 51 cycles.
The COD value of the untreated waste, after nutrient addition, was around 9937 mg L− 1 and 3100 ADMI units, whereas that of the waste treated in PBBR was as low as 736.16 mg L− 1 and 147.98 units mg L− 1 only and it was further reduced to a COD of 262.09 mg L− 1 upon aeration and passage through the charcoal reactor. Similarly, the dye content in the untreated wastewater was 3100 units which was reduced to 124.03 units, and finally to 110.01 ADMI units after sequential passage through PBBR, aeration, and charcoal reactor. The three-step biological treatment including PBBR, aeration, and activated charcoal, given to the effluent, the latter resulted in a 97.29% reduction in COD and a 96.45% reduction in ADMI units in the textile industry wastewater. Even the treatment of aeration and activated charcoal was found to be equally efficient; however, the cost of activated charcoal is the main constraint for its application.
Thus, activated charcoal could be used after biological treatment so that more waste could be treated with almost 98% decolourization. As the COD of the biologically treated waste is very less than the untreated waste, the requirement for activated charcoal could be reduced by 10-fold. Thus, it could make the dye bioremediation process economically viable.
The degradation of Reactive Red 120 using Bacillus cohnii RAPT1 immobilized on polyurethane was studied by Padmanaban et al. (2016). Under optimum conditions (36 h, initial inoculum size 3x108 colony-forming units per mL, 8.0 pH, and 35°C) 100% of 200 mg L− 1 of the dye was removed within 4 h.
A synthetic, simulated mixed dye waste (Basic Yellow 28, Basic Yellow 21, Basic Red 18.1, Basic Violet Red 16, Basic Red 46, Basic Blue 16, Basic Blue 41) representing a known waste from a fiber production factory was investigated for colour removal using a two-phase anaerobic packed bed seeded with anaerobic digesting domestic sewage sludge. The results of this study showed that a 2-stage mesophilic anaerobic up-flow packed bed reactor can remove up to 90% of the colour from a mixed cationic dye-containing 1000 mg L− 1 of dye (Talarposhti et al., 2001).
Similarly, degradation of simulated textile wastewater containing 6 different azo dyes (COD 7200 mg L− 1 and dye concentration 300 mg L− 1) was studied in a microaerophilic fixed film reactor using a pumice stone as a support material under varying hydraulic retention time and organic loading rate (OLR). The intense metabolic activity of the inoculated bacterial consortium in the reactor led to 97.5% COD reduction and 99.5% decolourization of simulated wastewater operated under OLR of 7.2 kg COD m3 d− 1 and 24 h of HRT (Balapure et al., 2015).
Effect of flow rate
Results of continuous mode operation of PBBR and charcoal reactor with variations in flow rate are shown in Fig. 9. More than 90% decolourization of the influent was obtained. However, with an increase in flow rate, a successive decrease in COD and ADMI reduction efficiency was noticed. A 37.71% and 43.43% reduction in COD and ADMI value, respectively, was observed at a flow rate of 210 mL h− 1 with an HRT of 1 h. However, an overall increase in the dye decolourization rate, from 62 mg L− 1 h− 1 to 262 mg L− 1 h− 1, was observed with an increase in flow rate from 18 mL h− 1 to 210 mL h− 1. This could be due to the decreased contact time between the active biofilm in the reactor and the influent wastewater. The effect of flow rate on the performance of the PBBR in continuous mode is shown in Fig. 9.
Many researchers have successfully developed various microbial systems for the effective decolourization of several dyes with different bacteria. However, the majority of the studies concentrate on the usage of either single dye or simulated dye effluent or real dye effluent with complex media. However, the packed bed bioreactor described in this study is a promising alternative method for an economical method of treating the actual textile dye effluent supplemented with simple nutrients. The bacterial consortium used in this study is capable of withstanding non-sterile conditions present at the start-up and operating cycles. The anoxic conditions in a packed bed bioreactor provided a suitable environment for the decolourization of azo dyes, as the chromophore of azo dyes is susceptible to reduction under anaerobic conditions.
Toxicity study
Phytotoxicity of the textile industry effluent, the effluent treated in PBBR and charcoal reactor was studied and it was observed that, because of the toxicity of the untreated textile effluent, germination rate, root length and shoot length were less in the case of Cicer arietinum L. (chickpea) and Vigna radiata L. (green gram) seeds exposed to the textile effluent exposed to PBBR treated textile effluent and distilled water. At the same time, the seeds exposed to treated effluent from the charcoal reactor effluent showed a similar germination rate, root length, and shoot length as those that were exposed to distilled water (Table 4).
Table 4
Toxicity study of real textile effluent and effluent treated in PBBR and PBBR-charcoal reactor.
Analysis | Parameter analyzed | Control | Textile dye effluent |
Untreated | PBBR treated | PBBR-aerated-charcoal treated |
Phytotoxicity | |
| Cicer arietinum L |
| Germination (%) | 100 | 0 | 90 | 100 |
| Root (cm) | 3.10 ± 0.42 | - | 2.86 ± 0.33 | 3.01 ± 0.27 |
| Shoot (cm) | 3.06 ± 0.37 | - | 2.14 ± 0.39 | 2.91 ± 0.32 |
| Vigna radiata L. |
| Germination (%) | 100 | 0 | 90 | 100 |
| Root (cm) | 4.14 ± 0.41 | - | 3.01 ± 0.25 | 3.92 ± 0.39 |
| Shoot (cm) | 2.19 ± 0.28 | - | 1.98 ± 0.18 | 2.16 ± 0.31 |
Microbial Toxicity | Zone of Decolourization |
| E.coli | 0.80 ± 0.01 | 1.60 ± 0.02 | 0.91 ± 0.03 | 0.81 ± 0.03 |
| Azotobacter sp. | 0.80 ± 0.02 | 1.56 ± 0.05 | 0.94 ± 0.03 | 0.88 ± 0.03 |
| Phosphate- solubilizer | 0.80 ± 0.01 | 1.53 ± 0.01 | 0.90 ± 0.01 | 0.81 ± 0.01 |
| Cellulase degrader | 0.81 ± 0.03 | 1.71 ± 0.04 | 0.92 ± 0.04 | 0.83 ± 0.04 |
#: No germination and rotting of seeds. Values are the mean of three experiments and SD (±) is significantly different from the control at, *P < 0.001, by one-way analysis of variance (ANOVA) with Tukey–Kramer comparison test. |
Similar results have been observed by Patel et al., (2018) while studying the reduction in toxicity of two simulated wastewaters containing 1:1 metal complex acid dyes namely, Acid blue 158 and Acid black 52, separately, by a developed bacterial consortium. Toxicity was found negligible in the case of seeds of Sorghum bicolor as 100% seed germination was observed whereas, in the case of Cicer aeriatinum, seed germination was inhibited by 20 and 60% with untreated AB158 and AB52, respectively.
Microbial toxicity study
The microbial toxicity study showed that the biggest zones of inhibition in all the tested four bacterial cultures (E. coli, B. subtilis, Azotobacter sp., and phosphate solubilizers) were observed with untreated textile industry effluent. Compared to untreated effluent the PBBR-aerated-charcoal reactor treated effluent did not exhibit any growth inhibition, which showed the formation of non-toxic metabolites after degradation of the dyes present in the textile industry effluent and removal of the residues during aeration and passage through the charcoal column (Table 4).
Both microbial toxicity and phytotoxicity assays revealed the less toxic nature of PBBR-aerated-charcoal reactor-treated effluent. This indicated that the treated effluent, when discharged to water bodies, might not cause any harmful effects to its surroundings.