Evidence map›Paper›PMID 40668368›Full record

ArticleBioprocess and biosystems engineering2025

Innovative bacterial consortia for simulated dairy wastewater treatment: improving COD removal efficiency.

Manjiri Patil, Pranav Kshirsagar, Prashant Dhakephalkar, Suneeti Gore, Vikram Lanjekar

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Article in Bioprocess and biosystems engineering, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Manjiri PatilDepartment of Technology, Savitribai Phule Pune University, Pune, Maharashtra, 411 007, India.
Pranav KshirsagarBioenergy Group, Agharkar Research Institute, Pune, Maharashtra, 411 004, India.
Prashant DhakephalkarBioenergy Group, Agharkar Research Institute, Pune, Maharashtra, 411 004, India.
Suneeti Gore *Department of Microbiology, Fergusson College, Pune, Maharashtra, 411 004, India. suneeti.gore@fergusson.edu.
Vikram Lanjekar *Bioenergy Group, Agharkar Research Institute, Pune, Maharashtra, 411 004, India. vblanjekar@aripune.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dairy industry generates wastewater characterized by organic components, predominantly composed of proteins and fats, which can be effectively treated through biological processes. The present study aims to develop a bacterial consortium for bio-augmentation to enhance the treatment of simulated dairy wastewater. A total of 75 bacterial isolates were obtained using direct (DI) and enrichment-isolation (EI) methods. Among these, four strains exhibiting the highest proteolytic and lipolytic activities within 24 h were selected for further investigations. The isolates were screened based on their extracellular enzyme activities (proteinase and lipase), as well as their maximum lipolytic (0.3-0.7 mm/h) and proteolytic activity (0.67-0.83 mm/h) by a novel approach of rate of diffusion on TA and MSMA, respectively. The selected strains were identified by 16S rRNA gene sequencing as Massilia (DSSC1), Brevibacillus (ENAT1), Pseudomonas (ENOG5), and Lysinibacillus (ETOG2). The biodegradation potential of individual strains and their consortium was assessed through COD reduction in simulated dairy wastewater. The individual bacterial strains achieved COD reductions from an initial concentration of 3.82 g/L to 2.95, 2.81, 2.48, and 2.89 g/L. In contrast, bio-augmentation with the bacterial consortia reduced COD to 2.19 g/L, resulting in a 26-86% higher reduction compared to the individual strains. This study presents the first report on the use of a novel approach of diffusion-based assay to develop an effective and innovative bacterial consortium for efficient dairy wastewater treatment. These findings highlight the potential of this approach toward enhancing biodegradation efficiency and advancing sustainable wastewater management practice.

Indexed as

BacteriaBiological Oxygen Demand AnalysisDairyingMicrobial ConsortiaWastewaterWater PurificationWastewaterBioaugmentationCOD reductionConsortiumDairy wastewaterLipolyticProteolytic

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.