Patil Manjiri, Kshirsagar Pranav, Dhakephalkar Prashant, Gore Suneeti, Lanjekar Vikram
Department of Technology, Savitribai Phule Pune University, Pune, Maharashtra, 411 007, India.
Bioenergy Group, Agharkar Research Institute, Pune, Maharashtra, 411 004, India.
Bioprocess Biosyst Eng. 2025 Jul 16. doi: 10.1007/s00449-025-03202-9.
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.
乳制品行业产生的废水含有有机成分，主要由蛋白质和脂肪组成，可通过生物工艺进行有效处理。本研究旨在开发一种用于生物强化的细菌联合体，以加强对模拟乳制品废水的处理。使用直接（DI）和富集分离（EI）方法共获得75株细菌分离株。其中，选择了4株在24小时内表现出最高蛋白水解和脂肪水解活性的菌株进行进一步研究。通过一种分别在TA和MSMA上基于扩散速率的新方法，根据其胞外酶活性（蛋白酶和脂肪酶）以及最大脂肪水解活性（0.3 - 0.7毫米/小时）和蛋白水解活性（0.67 - 0.83毫米/小时）对分离株进行筛选。通过16S rRNA基因测序将所选菌株鉴定为马赛菌属（DSSC1）、短短芽孢杆菌属（ENAT1）、假单胞菌属（ENOG5）和赖氨酸芽孢杆菌属（ETOG2）。通过模拟乳制品废水中化学需氧量（COD）的降低来评估单个菌株及其联合体的生物降解潜力。单个细菌菌株将COD从初始浓度3.82克/升分别降低到2.95、2.81、2.48和2.89克/升。相比之下，用细菌联合体进行生物强化可将COD降低到2.19克/升，与单个菌株相比，降低幅度高出26 - 86%。本研究首次报道了使用一种基于扩散测定的新方法来开发一种有效且创新的细菌联合体，用于高效处理乳制品废水。这些发现凸显了这种方法在提高生物降解效率和推进可持续废水管理实践方面的潜力。
