This study evaluated the hydrogen production potential through lactate-driven dark fermentation (LD-DF) of organic wastes from solid waste treatment plants, including the organic fraction of municipal solid waste (OFMSW), mixed sewage sludge, and two OFMSW leachates. In initial batch fermentations, only OFMSW supported a significant hydrogen yield (70.1 ± 7.7 NmL-H/g-VS added) among the tested feedstocks. Lactate acted as an important hydrogen precursor, requiring the presence of carbohydrates for sequential two-step lactate-type fermentation. The impact of operational pH (5.5-6.5) and initial total solids (TS) concentration (5-12.5 % w/w) was also evaluated using OFMSW as substrate, obtaining hydrogen yields ranging from 6.6 to 55.9 NmL-H/g-VSadded. The highest yield occurred at 6.5 pH and 7.5 % TS. The LD-DF pathway was indicated to be present under diverse pH and TS conditions, supported by employing a specialized microbial consortium capable of performing LD-DF, along with the observed changes in lactate levels during fermentation.
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http://dx.doi.org/10.1016/j.biortech.2024.130846 | DOI Listing |
Heliyon
July 2024
Department of Management Information Systems, Faculty of Data Science for Sustainable Growth, Jeju National University, Republic of Korea.
The escalating annual growth rate of electronic waste, commonly referred to as "e-waste," is currently between 3 % and 5 %, indicating a rapidly increasing solid waste stream. In 2019, South Korea generated 15.8 kg of e-waste per capita.
View Article and Find Full Text PDFSci Rep
January 2025
College of Safety Engineering, China University of Mining and Technology, Xuzhou, 221116, Jiangsu, China.
The synergistic utilization of multiple solid waste is an effective means of achieving green filling and resource utilization of solid waste in mines. In this paper, the synergistic effects of solid waste granulated blast furnace slag (GS) and carbide slag (CS) as cementitious materials (GCCM) are investigated, along with their preliminary feasibility in combination with coal gangue (CG) and furnace bottom slag (FBS) for the preparation of backfill materials. The synergistic hydration mechanism, mechanical properties, working performance of GCCM and GBC were studied, and the environmental impact and cost-effectiveness of GBC were evaluated.
View Article and Find Full Text PDFEnviron Pollut
January 2025
College of Safety and Environmental Engineering, Shandong University of Science and Technology, Qingdao 266590, Shandong Province, China; State Key Laboratory of Mining Disaster Prevention and Control Co-found by Shandong Province and the Ministry of Science and Technology, Shandong University of Science and Technology, Qingdao 266590, China.
Red mud (RM), an iron oxide-rich solid waste, shows potential as a catalyst for selective catalytic reduction in denitrification processes. This study investigates the catalytic performance and mechanism of metal-modified RM in reducing NO from diesel vehicle exhaust. Acid-washed RM catalysts were impregnated with varying ratios of cerium (Ce) and zirconium (Zr).
View Article and Find Full Text PDFJ Hazard Mater
January 2025
Department of Molecular Microbiology and Biotechnology, Institute of Biochemistry, Life Sciences Center, Vilnius University, Saulėtekio Av. 7, Vilnius 10257, Lithuania.
Enzymatic degradation of plastic pollution offers a promising environmentally friendly waste management strategy, however, suitable biocatalysts must be screened and developed. Traditional screening methods using soluble or solubilised polymers do not necessarily identify enzymes that are effective against solid or crystalline polymers. This study presents a simple, time-saving and cost-effective method for identifying microorganisms and enzymes capable of degrading polymeric films.
View Article and Find Full Text PDFSci Adv
January 2025
Center for Quantitative Biology, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China.
Bacterial social interactions play crucial roles in various ecological, medical, and biotechnological contexts. However, predicting these interactions from genome sequences is notoriously difficult. Here, we developed bioinformatic tools to predict whether secreted iron-scavenging siderophores stimulate or inhibit the growth of community members.
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