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Characterization of natural organic matter (NOM) derived from sewage sludge compost. Part 2: multivariate techniques in the study of compost maturation

机译:从污水污泥堆肥中提取的天然有机物(NOM)的特性。第2部分:堆肥成熟研究中的多元技术

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This study presents the results of cbemometric data analysis which describes the maturation of sewage sludge compost. The compost was characterized at different stages of maturation by various chemical and spectroscopic parameters including carbon and nitrogen content, humic substances content, UV-Vis and C-13 NMR. The data set of compost characteristics was analyzed using multivariate methods: cluster analysis (CA) and principal component analysis (PCA).The results enabled the determination of three groups of compost samples at different stages of maturation that correspond to three stages of composting: (i) domination of rapid decomposition of non-humic, easily biodegradable organic matter, (ii) domination of organic matter humification and formation of polycondensed, humic-like substances (the next 2 weeks), (iii) stabilization of transformed organic material and weak microbial activity. The multivariate techniques also enabled the identification of main parameters that change during different stages of composting the most. (C) 2004 Published by Elsevier Ltd.
机译:这项研究提出了计量学数据分析的结果,描述了污泥堆肥的成熟度。通过各种化学和光谱参数,包括碳和氮含量,腐殖质含量,UV-Vis和C-13 NMR,对堆肥在成熟的不同阶段进行了表征。使用多元方法对堆肥特性数据集进行了聚类分析(CA)和主成分分析(PCA)分析,结果可确定三组堆肥样品处于不同成熟阶段,分别对应于堆肥的三个阶段:( i)控制非腐殖质,易于生物降解的有机物的快速分解;(ii)控制有机质的腐殖化和缩聚的腐殖质样物质的形成(接下来的2周);(iii)稳定转化的有机物质和弱微生物活性。多元技术还可以识别在堆肥不同阶段变化最大的主要参数。 (C)2004由Elsevier Ltd.出版

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