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Rashmi Ira-D20024 thesis data

Posted on 2025-01-31 - 09:44 authored by Rashmi Ira

This dataset supports the thesis on optimizing methane (CH₄) and hydrogen (H₂) production through a single-stage anaerobic digestion (AD) process by leveraging the natural microbial synergy within synthetically designed consortia without requiring bulk substrate treatments.

A novel synthetic microbial consortium, E(C2)Tx, was developed using a waste complementarity and selective pretreatment approach, which includes heat pretreatment, load shock, and acclimatization to enrich hydrogen producers and methanogens. An untreated counterpart, E(C2)UTx, was also designed to assess the impact of heat pretreatment.  Meticulous anaerobic digestion (AD) experiments were conducted on diverse organic wastes, including cow dung (CD), food waste (FW), raw sewage wastewater (RW), and electro-flocculated wastewater (EF), to test the potential of designed microbial consortia and to elucidate their microbial community dynamics.

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