Application of novel bacterial consortium for biodegradation of aromatic amine 2-ABS using response surface methodology

In silico approaches for the prediction of the breakthrough of organic contaminants in wastewater treatment plants

The removal efficiency (RE) of organic contaminants in wastewater treatment plants (WWTPs) is a major determinant of the environmental impact of chemicals which are discharged to wastewater. In a recent study, non-target screening analysis was applied to quantify the percentage removal efficiency (RE%) of more than 300 polar contaminants, by analyzing influent and effluent samples from a Swedish WWTP with direct injection UHPLC-Orbitrap-MS/MS. Based on subsets extracted from these data, we developed quantitative structure-property relationships (QSPRs) for the prediction of WWTP breakthrough (BT) to the effluent water. QSPRs were developed by means of multiple linear regression (MLR) and were selected after checking for overfitting and chance relationships by means of bootstrap and randomization procedures. A first model provided good fitting performance, showing that the proposed approach for the development of QSPRs for the prediction of BT is reasonable. By further populating the dataset with similar chemicals using a Tanimoto index approach based on substructure count fingerprints, a second QSPR indicated that the prediction of BT is also applicable to new chemicals sufficiently similar to the training set. Finally, a class-specific QSPR for PEGs and PPGs showed BT prediction trends consistent with known degradation pathways.

Optimization of biodegradation yield of reactive blue 49: An integrated approach using response surface methodology based marine predators algorithm

Biodegradation involving the use of biological systems are proving to be more cost-effective, energy efficient and environmentally friendly method for treatment with dye. There are also some advantages of enzymatic degradation to remove pollutants from textile effluents. They are specific and selectable for the substrates. Moreover, the usage of enzymatic degradation with laccase has environmental and social dimensions of sustainable bio-economy when compared with commercial solutions. In this study, besides the conventional RSM (Response Surface Methodology) approaches, the performance of a new metaheuristic, MPA (Marine Predators Algorithm) integrated with RSM has also been tested. The effect of four independent variables time, enzyme amount, agitation speed, and initial dye concentration have been studied to obtain maximum decolorization. Two major techniques of RSM, namely Box Behnken Design (BBD) and Central Composite Design (CCD) have been used to determine optimal levels of parameters. The highest decolorization efficiency (%) of Reactive Blue 49 (RB49) has been achieved as 92.82% with BBD and 90.56% with CCD. Maximum efficiency for BBD based MPA as being 94.69% has been obtained at 70.96 min, 1.5 mL, 74.63 rpm, and 99.09 ppm. For CCD based MPA, the level of efficiency has been obtained as 93.1% at 39.69 min, 1 mL, 72.07 rpm, and 74.41 ppm. The results of MPA indicate that using metaheuristics combined with RSM is a suitable and sustainable way to optimize parameters of RB49% for decolorization.

Environmental and molecular approach to dye industry waste degradation by the ascomycete fungus Nectriella pironii

Textile industry effluents and landfill leachate contain chemicals such as dyes, heavy metals and aromatic amines characterized by their mutagenicity, cytotoxicity and carcinogenicity. The aim of the present study was investigation of the ascomycete fungus N. pironii isolated from urban postindustrial textile green space for its ability to grow and retain metabolic activity in the presence of the dye industry waste. Research focused mainly on dyes, heavy metals and aromatic amines, which had been detected in landfill leachate via HPLC-MS/MS analysis. Presence of all tested compounds as well as leachate in the growth medium clearly favored the growth of fungal biomass. Only slight growth limitation was observed in the presence of 50 mg L-1 o-tolidine. The fungus eliminated o-tolidine as well as dyes at all tested concentrations. The presence of metals slightly influenced the decolorization of the azo dyes; however, it was still similar to 90%. During fungal growth, o-tolidine was hydroxylated and/or converted to toluidine and its derivatives. Laccase and cytochrome P450 involvement in this process has been revealed. The results presented in the paper provide a valuable background for the development of a fungus-based system for the elimination of toxic pollutants generated by the textile industry.

Fipronil degradation kinetics and resource recovery potential of Bacillus sp. strain FA4 isolated from a contaminated agricultural field in Uttarakhand, India

This study investigates the potential role of Bacillus sp. FA4 for the bioremediation of fipronil in a contaminated environment and resource recovery from natural sites. The degradation parameters for fipronil were optimized using response surface methodology (RSM): pH - 7.0, temperature - 32 °C, inocula - 6.0 × 10⁸ CFU mL^-1, and fipronil concentration - 50 mg L^-1. Degradation of fipronil was confirmed in the mineral salt medium (MSM), soil, immobilized agar discs, and sodium alginate beads. The significant reduction of the half-life of fipronil suggested that the strain FA4 could be used for the treatment of large-scale fipronil degradation from contaminated environments. The kinetic parameters, such as q_max, K_s, and K_i for fipronil degradation with strain FA4, were 0.698 day^-1, 12.08 mg L^-1, and 479.35 mg L^-1, respectively. Immobilized FA4 cells with sodium alginate and agar disc beads showed enhanced degradation with reductions in half-life at 7.83 and 7.34 days, respectively. The biodegradation in soil further confirmed the degradation potential of strain FA4 with a half-life of 7.40 days as compared to the sterilized soil control's 169.02 days. The application of the strain FA4 on fipronil degradation, under different in vitro conditions, showed that the strain could be used for bioremediation and resource recovery of contaminated wastewater and soil in natural contaminated sites.

Sustainable strategy for the enhancement of hazardous aromatic amine degradation using lipopeptide biosurfactant isolated from Brevibacterium casei

The application of biosurfactants for the degradation of various toxic compounds has received much attention among researchers worldwide. A stimulated degrading method was carried out in this research to determine the efficiency of surfactant on the biodegradation of aromatic amine 4-Aminobiphenyl (4-ABP). The biosurfactant mediated process is an alternative strategy for chemical surfactants because chemical surfactants are toxic and nonbiodegradable. The bacterium was isolated through the enrichment process and identified using 16S rRNA sequencing method. The molecular characterization showed that the isolate belongs to Brevibacterium casei-4AB. Biosurfactant produced in this study was examined through screening activities like oil spreading, emulsification activity and surface tension measurement. Instrumental characterization like Fourier Transform Infrared Spectrophotometer (FT-IR) results suggested that there is a presence of NH group, aliphatic hydrocarbons, ester groups, amide and alkenes and further Gas chromatography- Mass Spectrometry (GC-MS) results confirmed the presence of fatty acids such as Hexadecanoic and Octadecadienoic acid which showed that the produced surfactant is lipopeptide. Protein content and lipid content in the biosurfactant was found to be 18 ± 0.8% and 30 ± 0.1%. The degraded metabolites of 4-ABP were analyzed through the GC-MS process which revealed the presence of metabolites such as 5-Amino-2-methoxy phenol.

Decolorization and phytotoxicity reduction of reactive blue 40 dye in real textile wastewater by active consortium: Anaerobic/aerobic algal-bacterial-probiotic bioreactor

The textile dyeing and printing industries has led to extensive environmental pollution and severely threatens ecosystems. The best microbial species for such application was selected among the isolated bacterial populations by conducting CI Reactive Blue 40 (CI RB 40) batch degradation studies with the bacterial-algal-probiotic strains. In this study, three suitable species (Pseudomonas putida, Chlorella and Lactobacillus plantarum) were applied to degrade and detoxify CI RB 40, a reactive diazo dye in Real Textile Wastewater, used in textile dyeing industry worldwide. Process parameters were optimized using Response Surface Methodology and under the optimum conditions (e.g., inoculum size of 10%), temperature of 35 °C, 150 ppm, and time of 6 days). The maximum COD and color removal efficiencies, when tested with 1000 ppm of dye using batch reactors were found to be 89% and 99%, respectively. Our results showed also that bacteria had a high decolorization capacity. The regression analysis revealed a good match of the experimental data to the second-order polynomial with a high coefficient of determination (R²). UV-Visible and FTIR spectroscopy analysis confirmed the biodegradation of CI RB 40. Finally, toxicity of CIRB 40 before and after biodegradation was studied and the detoxification of CIRB 40 dye solution after biodegradation process was confirmed.