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作 者:丁超 韩作颖 杨秀清 DING Chao;HAN Zuoying;YANG Xiuqing(Key Laboratory of Chemical Biology and Molecular Engineering of Ministry of Education,Institute of Biotechnology,Shanxi University,Taiyuan 030006,China;State Key Laboratory of Coal and CBM Co-mining,Jincheng 048000,China)
机构地区:[1]山西大学生物技术研究所化学生物学与分子工程教育部重点实验室,山西太原030006 [2]煤与煤层气共采国家重点实验室,山西晋城048000
出 处:《山西大学学报(自然科学版)》2021年第6期1210-1220,共11页Journal of Shanxi University(Natural Science Edition)
基 金:山西省自然科学基金(煤层气联合基金)(2015012002);山西省煤基重点科技攻关项目(MQ2014-03)。
摘 要:以神华胜利煤田的褐煤为基质,进行颗粒度、固液比和接种量三组单因素生物成气实验。通过聚合酶链反应变性梯度凝胶电泳(PCR-DGGE)对样品种群结构快速分析,借助冗余分析(RDA)和气泡图等统计方法建立菌群结构变化与产气间的关联性。同时应用傅里叶变换红外光谱(FTIR)分析和分段分峰拟合技术表征煤样化学结构的改变。单因素方差分析结果显示褐煤颗粒度因素对产气影响为极显著,90 d发酵周期颗粒度因素组(160目)产气情况最好。影响因素、菌群结构与产气情况的关联性分析表明,颗粒度因素组内随煤粒径目数的增大,产甲烷菌属Methanosarcina与Methanobacterium的含量增多,与此同时产气量也显著提高。分峰拟合结果显示产气情况最好的高目数组在红外结构方面与其他组相比芳香环缩合程度最低,脂肪链分支度最低,羟基等含氧官能团脱落程度最高。实验结果表明环境因素如颗粒度目数的改变会通过影响微生物群落特别是古菌菌群结构,继而影响产气。Three groups of single-factor biogas generation experiments, including particle size, solid-liquid ratio and inoculation amount, were carried out based on the brown coal of Shenhua Shengli Coalfield, lnner Mongolia as the substrate. The population structure of the samples was quickly analyzed by PCR-DGGE, and the correlation between the changes in the flora structure and gas production was established by statistical methods such as RDA and bubble chart. Moreover, the FTIR analysis and segmented peak fitting techniques were used to characterize the changes in the chemical structure of coal samples. The results of one-way ANOVA showed that the lignite particle size factor had a significant effect on gas production, and the 90-day fermentation cycle particle size factor group(160 mesh) had the best gas production. The correlation analysis of influencing factors, bacterial flora structure and gas production showed that with the increase of coal particle size in the particle size factor group, the contents of Methanosarcina and Methanobacterium increased, and at the same time, the gas production also increased significantly. The results of peak fitting showed that the group(160 mesh) with the best gas production had the lowest degree of aromatic ring condensation, the lowest degree of fatty chain branching, and the highest degree of oxygen-containing functional groups such as hydroxyl. The experimental results show that changes in the environmental factors, such as particle size, can affect microbial community, especially the structure of archaeal flora, and then affect gas production.
关 键 词:褐煤 条件优化 聚合酶链反应变性梯度凝胶电泳 冗余分析 傅里叶变换红外光谱
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