Anaerobic microbial cocktail of lignocellulolytic fungi and bacteria with methanogens for boosting methane production from unpretreated rice straw
Journal article
Authors/Editors
Strategic Research Themes
Publication Details
Author list: Nitiya Thongbunrod, Pawinee Chaiprasert
Publisher: Springer
Publication year: 2022
Journal: Bioprocess and Biosystems Engineering (1615-7591)
Start page: 1
End page: 14
Number of pages: 14
ISSN: 1615-7591
eISSN: 1615-7605
URL: https://link.springer.com/article/10.1007/s00449-022-02829-2
Languages: English-United States (EN-US)
Abstract
Rice straw (RS) has been recognized as a sustainable renewable energy resource for converting into sugars and volatile fatty acids (acetate, propionate, and butyrate) and subsequently to produce biogas. Enhanced production of these intermediates from RS by the different combinations of two consortia was investigated. Anaerobic microbial cocktails of fungi, bacteria, and methanogens were evaluated for performance and stability in the anaerobic digestion of untreated RS. The best-defined anaerobic microbial cocktail for high RS degradation and methane production, consisting of anaerobic bacteria (mainly Proteiniphilum acetatigenes, Pyramidobacter piscolens, and Mesotoga prima) and anaerobic lignocellulolytic/fermentative fungi (uncultured Neocallimastigales, Orpinomyces, Anaeromyces, and Feramyces sp.) at a copy number ratio of 103–105 copies/mL, including hydrogenotrophic and acetoclastic methanogens (Methanosarcina mazei, Methanoculleus marisnigri, Methanofollis liminatans, Methanoculleus bourgensis, and Methanosaeta harundinacea) concentration of 106 copies/mL, was successfully constructed. The system performance was 80% VS (volatile solids) RS degradation, 34 mL/day methane production rate, 318 mL/g VSadded methane yield, and a pH range of 6.90–7.70 within a short time of 14 days. A defined microbial cocktail has been proven as a potential alternative process for lignocellulose hydrolysis and methane production.
Keywords
Anaerobic digestion, Biogas, Microbial ratio, optimization