Biodegradation of two Azo dyes using<i>Dietzia</i>sp. PD1: process optimization using Response Surface Methodology and Artificial Neural Network

Das, Papita; Banerjee, Priya; Zaman, Aisha; Bhattacharya, Puspita

doi:10.1080/19443994.2015.1013993

Cited by 24 publications

(10 citation statements)

References 22 publications

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“…The nature of the role of pH on dye decolourisation is influenced by the location of the strain obtained. Bacteria that are isolated from the acidic environment are able to degrade dye better in pH less than 7 [ 53 ], meanwhile, those from alkaline environment perform exceptionally well in pH more than 7 [ 24 ]. Previous repeated exposure to acidic or alkaline environment allowed the azoreductase enzyme to acclimatise to their appropriate environment pH; thus, having a distinct affinity towards substrate in different pH environments.…”

Section: Discussionmentioning

confidence: 99%

Biodecolourisation of Reactive Red 120 as a Sole Carbon Source by a Bacterial Consortium—Toxicity Assessment and Statistical Optimisation

Manogaran

Yasid

Othman

et al. 2021

IJERPH

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The application of microorganisms in azo dye remediation has gained significant attention, leading to various published studies reporting different methods for obtaining the best dye decolouriser. This paper investigates and compares the role of methods and media used in obtaining a bacterial consortium capable of decolourising azo dye as the sole carbon source, which is extremely rare to find. It was demonstrated that a prolonged acclimation under low substrate availability successfully isolated a novel consortium capable of utilising Reactive Red 120 dye as a sole carbon source in aerobic conditions. This consortium, known as JR3, consists of Pseudomonas aeruginosa strain MM01, Enterobacter sp. strain MM05 and Serratia marcescens strain MM06. Decolourised metabolites of consortium JR3 showed an improvement in mung bean’s seed germination and shoot and root length. One-factor-at-time optimisation characterisation showed maximal of 82.9% decolourisation at 0.7 g/L ammonium sulphate, pH 8, 35 °C, and RR120 concentrations of 200 ppm. Decolourisation modelling utilising response surface methodology (RSM) successfully improved decolourisation even more. RSM resulted in maximal decolourisation of 92.79% using 0.645 g/L ammonium sulphate, pH 8.29, 34.5 °C and 200 ppm RR120.

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Section: Discussionmentioning

confidence: 99%

Biodecolourisation of Reactive Red 120 as a Sole Carbon Source by a Bacterial Consortium—Toxicity Assessment and Statistical Optimisation

Manogaran

Yasid

Othman

et al. 2021

IJERPH

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“…The reduced percentage of dye removal observed at lower dye concentrations may have had occurred due to lesser number of viable bacterial cells present due to insufficient availability of carbon source (dye). However, at very high initial dye concentration, dye induced, toxicity may be considered responsible for unavailability of viable bacterial cells which in turn resulted in lower percentage of dye removal (Das et al 2015b). In case of coupled approach, percentage dye removal was higher than two individual approaches and required time for maximum dye removal was also less than other two processes.…”

Section: Effect Of Initial Dye Concentrationmentioning

confidence: 99%

Integral approach of sorption coupled with biodegradation for treatment of azo dye using Pseudomonas sp.: batch, toxicity, and artificial neural network

et al. 2018

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The present study investigated the removal of azo dye (crystal violet) by adsorption (using a low-cost adsorbent fly ash), biodegradation (using bacterial species, sp.), and an integrated approach of sorption coupled with biodegradation (using fly ash immobilized with sp.) on a comparative scale. To ascertain immobilization of bacteria on fly ash, immobilized bacterial cells were characterized by energy-dispersive X-ray spectroscopy, scanning electron microscopy, Fourier-transform-infrared spectroscopy, and fluorescence microscopy. Batch studies were conducted for optimization of the process parameters for ensuring maximum dye removal. The optimum pH, temperature, and initial dye concentration for the highest percentage of dye removal were found to be pH 7, 37 °C, and 50 mg/L in all the three cases. Under optimized conditions, the highest percentage of dye removal was found to be 89.24, 79.64, and 99.04% for biodegradation, sorption, and integrated approach of sorption and biodegradation, respectively. Finally, phytotoxicity studies carried out with the treated water on seeds also carried proved that these processes and the adsorbent did not exert any toxic effects on the seeds. Artificial neural network modeling revealed a close interaction between theoretically predicted and experimentally obtained results and with an error of around 1.1%. Thus, this novel, environmentally sustainable and economically viable technique may be applied for effective removal of crystal violet from industrial wastewater.

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“…Each of the isolated organisms was identified by various biochemical and bacteriological tests done by subculturing of each of the isolated organisms. The isolated bacteria were analysed using different biochemical test followed by 16S rRNA gene sequence [28].…”

Section: Strain Isolation and Sub Culturing Of The Organismsmentioning

confidence: 99%

Biodegradation of Acenaphthene Using Two Different Isolated Bacteria: Comparative Analysis and Optimization Using Artificial Neural Network

Sikdar¹,

Banerjee²,

Das³

et al. 2016

EPP

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Polycyclic Aromatic Hydrocarbons are one of the toxic pollutants in nature having both carcinogenic and mutagenic effects and accumulate in the environment from industrial wastes, natural sources like volcanoes and human activities. Acenaphthene degradation efficiency of two isolated micro-organism Bacillus sp. PD5 and Halomonas sp.PD4; gram positive and gram negative bacteria were evaluated in batch experiments. The study was performed by different parameters like inoculum volume, pH, salinity, temperature, agitation speed and a comparative analysis was carried out. The objective of this study was to compare the efficiency of the isolated organisms to degrade acenaphthene under different experimental conditions. The maximum acenaphthene degradation was found to be around 82% by Bacillus sp. PD5 and 65.25% in case of Halomonas sp.PD4. Artificial neural network was applied to estimate the maximum degradation of acenaphthene by both microorganisms and it was observed that the developed ANN model significantly satisfied the experimental results.

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Biodegradation of two Azo dyes usingDietziasp. PD1: process optimization using Response Surface Methodology and Artificial Neural Network

Cited by 24 publications

References 22 publications

Biodecolourisation of Reactive Red 120 as a Sole Carbon Source by a Bacterial Consortium—Toxicity Assessment and Statistical Optimisation

Biodecolourisation of Reactive Red 120 as a Sole Carbon Source by a Bacterial Consortium—Toxicity Assessment and Statistical Optimisation

Integral approach of sorption coupled with biodegradation for treatment of azo dye using Pseudomonas sp.: batch, toxicity, and artificial neural network

Biodegradation of Acenaphthene Using Two Different Isolated Bacteria: Comparative Analysis and Optimization Using Artificial Neural Network

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