Microbial screening bioremediation and bioenergy generation by bacterial fuel cells from sewage

Abstract

Conventional wastewater management methods are expensive due to energy and resource consumption. Biological remediation using waste water treatment offers a holistic approach with minimal adverse impact, using physico-chemical parameters as validation markers. newlineIn this work, sewage samples from a treatment plant in Jaipur, Rajasthan, were collected. The available microbial consortia were identified, and several physicochemical parameters were estimated. Salmonella Spp., Bacillus Spp., Escherichia Spp., Staphylococcus Spp., Streptococcus Spp., Klebsiella Spp., Bacillus Spp., and Proteus Spp. were found in the sludge samples while Salmonella Spp., Bacillus Spp., Escherichia Spp., Staphylococcus Spp., Streptococcus Spp., Klebsiella Spp., Bacillus Spp., and Shigella Spp. were found in the wastewater sample. Additionally, it confirmed the effectiveness of the bacterial fuel cells in the sewage plant because samples taken from various chamber compartments demonstrated a notable decrease in a number of physico-chemical parameters, including turbidity, total suspended solids, BOD, COD, hardness, organic carbon, nitrate, and chloride. newlineUnmanaged industrial waste disposal generates polluted water, a critical issue. Proactively addressed by sectors, microbes are used for sludge removal and sustainable electricity generation, demonstrating enormous efficiency in a holistic approach to microbial fuel cells. newlineThe current study aimed to maximise power generation capacity and achieve the best efficiency in wastewater biodegradation by optimising the inoculum volume and various types of bacteria on a pilot scale. The AKS2 strain was shown to be the most potent bacterial strain among the four bacterial isolates, with a 15% bacterial inoculum volume, according to the data. The study reveals that a 35°C temperature and pH 7 setting is most effective for generating higher voltage, current, and waste degradation, making it an optimal pilot scale protocol. newline newline