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Adaptive halotolerant communities for enhanced biohydrogen production from high-salt food waste under thermophilic conditions

Title
Adaptive halotolerant communities for enhanced biohydrogen production from high-salt food waste under thermophilic conditions
Authors
Kim G.; Kang S.; Cho K.-S.
Ewha Authors
조경숙
SCOPUS Author ID
조경숙scopusscopus
Issue Date
2026
Journal Title
Renewable Energy
ISSN
0960-1481JCR Link
Citation
Renewable Energy vol. 271
Keywords
Biohydrogen; Dark fermentation; Food waste; Functional genes; Metagenomics; Salinity-tolerance; Thermophilic bacteria
Publisher
Elsevier Ltd
Indexed
SCIE; SCOPUS WOS scopus
Document Type
Article
Abstract
Food waste (FW) is a valuable but challenging substrate for sustainable hydrogen production, as its high salinity often suppresses microbial activity and process efficiency. This study examined the adaptive responses of thermophilic microbial consortia enriched under gradually increasing NaCl concentrations (1.0–3.5%) to reveal conditions that balance productivity and resilience. The consortium enriched under moderate salinity achieved the highest hydrogen yield (130.1 ± 7.3 mL·g-VS−1) with rapid onset of production, whereas the high-salinity consortium exhibited the highest hydrogen production rate (9.43 ± 1.35 mL·g-VS−1·h−1) but a lower overall yield. Metagenomic analysis revealed salinity-driven microbial succession from Thermocaproicibacter melissae to halotolerant species such as Clostridium thermopalmarium and Heyndrickxia coagulans. Functional predictions indicated shifts in carbohydrate degradation and the enrichment of salinity-tolerance genes, reflecting strategies that sustain hydrogen production under osmotic stress. These findings highlight the importance of adaptive enrichment in achieving a balance between hydrogen productivity and microbial viability under saline conditions. Rather than pointing to a single optimum, the results provide ecological and engineering insights for designing robust waste-to-energy systems capable of valorizing high-salt FW. Such systems can advance renewable energy generation, resource recovery, and environmental sustainability. © 2026 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
DOI
10.1016/j.renene.2026.126022
Appears in Collections:
공과대학 > 환경공학과 > Journal papers
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