A novel biological sulfate reduction method using hydrogenogenic carboxydotrophic mesophilic bacteria. (September 2015)

• Record Type: Journal Article
• Authors: Sinharoy, Arindam; Manikandan, N. Arul; Pakshirajan, Kannan
• Is Part Of: Bioresource technology. Volume 192(2015)
• Page Start: 494
• Page End: 500
• Publication Date: 2015-09
• Subjects: Biological sulfate reduction -- Carbon monoxide conversion -- Taguchi design of experiment -- Bio-kinetic modeling -- Acinetobacter sp.; Biomass -- Periodicals; Biomass energy -- Periodicals; Bioremediation -- Periodicals; Agricultural wastes -- Periodicals; Factory and trade waste -- Periodicals; Organic wastes -- Periodicals; Bioénergie -- Périodiques; Déchets agricoles -- Périodiques; Déchets industriels -- Périodiques; Déchets organiques -- Périodiques; Déchets (Combustible) -- Périodiques; 662.88
• DOI: 10.1016/j.biortech.2015.05.085
• Languages: English
• ISSNs: 0960-8524

Abstract

Highlights: Biological sulfate reduction using CO as the sole carbon source is reported. Sulfate reduction occurred due to in situ produced H2 from CO. CO bioconversion followed the hydrogenotrophic pathway. Anaerobic granular sludge biomass is superior compared to other biomass types. Abstract: Sulfate reduction by carbon monoxide (CO) utilizing anaerobic biomass from a large scale upflow anaerobic sludge blanket reactor was studied. Anaerobic mixed microbial consortia from five different sources were initially examined for their biological CO conversion potential. Among the different biomass, the biomass from an upflow anaerobic sludge blanket reactor treating domestic wastewater, located in Kavoor, Karnataka, India, showed a maximum CO conversion efficiency. The effect of three main culture parameters, i.e. inoculum volume, initial CO concentration and temperature on simultaneous CO conversion and sulfate reduction was assessed employing the Taguchi experimental design technique. A maximum CO conversion of 85.62% and a maximum sulfate reduction of 50.65% were achieved. Furthermore, the experimental data was fitted to substrate inhibition models reported in the literature. Among the different models, Monods and Haldane kinetic models were found most suitable to describe the kinetics of biomass growth and CO removal by the anaerobic biomass.