中国沼气2026，Vol.44Issue(1)：32-39,8.DOI:10.20022/j.cnki.1000-1166.2026010032
不同纳米铁系添加剂对餐厨垃圾厌氧消化特性的影响
Effects of Different Nano-iron-based Additives on Anaerobic Digestion Characteristics of Kitchen Waste
摘要
Abstract
To investigate the effects of different nano-iron-based additives on the anaerobic digestion characteristics of kitch-en waste,1 g·L-1of nZVI,Fe2O3 NPs,and Fe3O4 NPs were severally added to the batched anaerobic digestion system un-der mesophilic condition.The results of fermentation indicators,kinetics,and microbial analysis showed that adding all three nano-iron-based substances could improve the methane production performance,with nZVI showed the most signifi-cant effect.After adding nZVI,the cumulative methane production was 394.9 mL·g-1VS,which was 12.5％higher than that of the control group.Additionally,its theoretical maximum methane production potential increased by 10.1％,the maximum methane production rate increased by 14.8％,the lag period was shortened by 47.8％,and the volatile fatty acids in the final slurry decreased by 39.2％.At the peak of biogas production,the concentrations of Fe2+in the slurry with nZVI,Fe2O3 NPs,and Fe3O4 NPs were 53.1％,50.5％,and 25.2％higher than that of the control group,respec-tively.The electron transfer activity was 32.9％,10.4％,and-16.3％higher than that of the control group,respective-ly.The relative abundance of hydrogenophilic methanogenic archaea genus Methanobacterium was 76.7％,5.1％,and 31.8％ higher than that of the control group.In summary,adding all three nano-iron-based substances could increase the concentration of Fe2+in the slurry and promote the enrichment of Methanobacterium,thereby shortening the methane pro-duction lag period,increasing the methane production rate,reducing the final VFA accumulation,and ultimately increasing the methane yield.关键词
餐厨垃圾/纳米铁系添加剂/厌氧消化/微生物群落结构Key words
kitchen waste/nano iron-based additives/anaerobic digestion/microbial community structure分类
农业科技引用本文复制引用
吴彤彤,孙辰,曹卫星..不同纳米铁系添加剂对餐厨垃圾厌氧消化特性的影响[J].中国沼气,2026,44(1):32-39,8.基金项目
嘉兴市科技局项目(2023AY11054) （2023AY11054）
浙江省自然科学基金(LY22E060002). （LY22E060002）
