Literature DB >> 35867172

Evaluating the efficacy of bacterial consortium for decolorization of diazo dye mixture.

Anjali Joshi1, Ankit Hinsu1, Ramesh Kothari2.   

Abstract

Textile wastewater contains dyes mixed with other contaminants in various concentrations. Bacteria-mediated decolorization and degradation of azo dyes have achieved momentum as a method of treatment attributed to their inexpensive, eco-friendly, and application to a wide range of azo dyes. However, a single species of bacteria is inefficient in decolorizing diverse groups of dyes which is one of the most significant challenges for environmental technologists working in bioremediation. In the present study, an aerobic bacterial consortium AUJ consisting of six different bacterial strains (Pseudomonas stutzeri AK1, Pseudomonas stutzeri AK2, Pseudomonas stutzeri AK3, Bacillus spp. AK4, Pseudomonas stutzeri AK5, and Pseudomonas stutzeri AK6) removed the individual azo dyes in the 24-94% range when used in more than 200 ppm concentration within 72-96 h. In addition, the consortium was able to decolorize 52.19% mixed dyes (100 ppm) and 44.55% Acid blue 113 when used at a concentration as high as 1100 ppm within 96 h. Optimization of various nutritional and environmental parameters revealed that glucose and yeast extract were the preferred carbon and nitrogen source, respectively, and analysis of treated dye products using high-performance liquid chromatography (HPLC), Fourier-transform infrared spectroscopy (FTIR), and gas chromatography-mass spectrometry (GC-MS) confirmed the breakdown of dye. In all, we present a bacterial consortium with a good ability of dye decolorization that can be used for degrading a wide variety of azo dyes.
© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  Azo dyes; Bacterial consortium; Bioremediation; Degradation

Mesh:

Substances:

Year:  2022        PMID: 35867172     DOI: 10.1007/s00203-022-03108-0

Source DB:  PubMed          Journal:  Arch Microbiol        ISSN: 0302-8933            Impact factor:   2.667


  12 in total

1.  Effective bioremoval and detoxification of textile dye mixture by Alishewanella sp. KMK6.

Authors:  Yogesh M Kolekar; Pallavi D Konde; Vijay L Markad; Sharwari V Kulkarni; Ashvini U Chaudhari; Kisan M Kodam
Journal:  Appl Microbiol Biotechnol       Date:  2012-03-11       Impact factor: 4.813

2.  Decolorization and detoxification of sulfonated azo dye C.I. Remazol Red and textile effluent by isolated Lysinibacillus sp. RGS.

Authors:  Rijuta G Saratale; Soniya S Gandhi; Madhavi V Purankar; Mayur B Kurade; Sanjay P Govindwar; Sang Eun Oh; Ganesh D Saratale
Journal:  J Biosci Bioeng       Date:  2013-01-12       Impact factor: 2.894

3.  Decolorization of Textile Dyes and Degradation of Mono-Azo Dye Amaranth by Acinetobacter calcoaceticus NCIM 2890.

Authors:  Gajanan Ghodake; Umesh Jadhav; Dhawal Tamboli; Anuradha Kagalkar; Sanjay Govindwar
Journal:  Indian J Microbiol       Date:  2011-01-25       Impact factor: 2.461

4.  Compatibility of Azospirillum brasilense and Pseudomonas fluorescens in growth promotion of groundnut ( Arachis hypogea L.).

Authors:  Andhare A Prasad; Subramanian Babu
Journal:  An Acad Bras Cienc       Date:  2017-05-02       Impact factor: 1.753

5.  Decolorization of azo dyes by marine Shewanella strains under saline conditions.

Authors:  Guangfei Liu; Jiti Zhou; Xianming Meng; Shiang Q Fu; Jing Wang; Ruofei Jin; Hong Lv
Journal:  Appl Microbiol Biotechnol       Date:  2012-06-17       Impact factor: 4.813

Review 6.  Detoxification of azo dyes in the context of environmental processes.

Authors:  Deepak Rawat; Vandana Mishra; Radhey Shyam Sharma
Journal:  Chemosphere       Date:  2016-05-04       Impact factor: 7.086

Review 7.  Basic and applied aspects in the microbial degradation of azo dyes.

Authors:  A Stolz
Journal:  Appl Microbiol Biotechnol       Date:  2001-07       Impact factor: 4.813

8.  Metabolic pathway and role of individual species in the bacterial consortium for biodegradation of azo dye: A biocalorimetric investigation.

Authors:  Bhuvanesh Kumar Shanmugam; Sivanesh Nanjan Easwaran; Rachita Lakra; Perinkulam Ravi Deepa; Surianarayanan Mahadevan
Journal:  Chemosphere       Date:  2017-08-29       Impact factor: 7.086

9.  IQ-TREE: a fast and effective stochastic algorithm for estimating maximum-likelihood phylogenies.

Authors:  Lam-Tung Nguyen; Heiko A Schmidt; Arndt von Haeseler; Bui Quang Minh
Journal:  Mol Biol Evol       Date:  2014-11-03       Impact factor: 16.240

10.  Degradation of azo dyes by Alcaligenes aquatilis 3c and its potential use in the wastewater treatment.

Authors:  Mehvish Ajaz; Abdul Rehman; Zaman Khan; Muhammad Atif Nisar; Syed Hussain
Journal:  AMB Express       Date:  2019-05-17       Impact factor: 3.298

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