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首页> 外文期刊>Applied Microbiology and Biotechnology >Microbial communities in liquid and fiber fractions of food waste digestates are differentially resistant to inhibition by ammonia
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Microbial communities in liquid and fiber fractions of food waste digestates are differentially resistant to inhibition by ammonia

机译：食物垃圾消化物的液体和纤维部分中的微生物群落对氨的抑制具有不同的抵抗力

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摘要

The effect of different concentrations of ammonia (1.0-7.0 g/L) during mesophilic anaerobic digestion with fiber or liquid digestate as inoculum was examined. Evolution of microbial community within fiber and liquid digestates was quantitatively assessed by the intact lipid analysis methods and qualitatively by DNA fingerprint methods in order to determine their resistance to ammonia inhibition. The results showed that an increased level of total ammonia nitrogen prolonged the lag phase of fiber digestates while reduced the metabolic rate of liquid digestates. Fiber digestates had 19.6-50.9-fold higher concentrations of phospholipid fatty acids (PLFA) compared to liquid digestates, whereas concentrations of phospholipid ether lipids (PLEL) in the fiber digestates were only 2.91-17.6-fold higher compared to liquid digestates. Although the cell concentration in liquid fraction was far lower than that in the fiber one, the ammonia-resistant ability and the methanization efficiency of the liquid digestate was superior to the fiber digestate. The bacterial profiles were affected more by the type of digestate inoculum compared to the concentration of ammonia. Principal component analysis indicated that the lipids technique was superior to the DNA technique for bacterial quantification but detected less archaeal diversity.
机译：考察了不同浓度的氨（1.0-7.0 g / L）在纤维或液体消化液作为接种物的嗜温厌氧消化过程中的影响。通过完整的脂质分析方法定量评估纤维和液体消化物中微生物群落的进化，并通过DNA指纹法定性评估微生物对氨抑制的抗性。结果表明，总氨氮水平的增加延长了纤维消化物的滞后期，同时降低了液体消化物的代谢率。与液体消化液相比，纤维消化液的磷脂脂肪酸（PLFA）浓度高19.6-50.9倍，而与液体消化液相比，纤维消化液中的磷脂醚脂质（PLEL）浓度仅高2.91-17.6倍。尽管液体部分中的细胞浓度远低于纤维部分中的细胞浓度，但液体消化物的耐氨性和甲烷化效率优于纤维消化物。与氨气浓度相比，消化菌的类型对细菌的分布影响更大。主成分分析表明，脂质技术优于DNA技术进行细菌定量分析，但检测到的古细菌多样性较低。

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