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A multivariate approach to the study of the composting process by means of analytical electrofocusing

机译:通过分析电聚焦研究堆肥过程的多元方法

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摘要

Three blends formed by: agro-industrial waste, wastewater sewage sludge, and their mixture, blended with tree pruning as bulking agent, were composted over a 3-month period. During the composting process the blends were monitored for the main physical and chemical characteristics. Electrofocusing (EF) was carried out on the extracted organic matter. The EF profiles were analyzed by principal component analysis (PCA) in order to assess the suitability of EF to evaluate the stabilisation level during the composting process. Throughout the process, the blends showed a general shifting of focused bands, from low to high pH, even though the compost origin affected the EF profiles. If the EF profile is analyzed by dividing it into pH regions, the interpretation of the results can be affected by the origin of compost. A good clustering of compost samples depending on the process time was obtained by analyzing the whole profile by PCA. Analysis of EF results with PCA represents a useful analytical technique to study the evolution and the stabilisation of composted organic matter.
机译:在三个月的时间内,对三种混合料进行了堆肥,这些混合料是由农业工业废料,废水污泥和它们的混合物混合而成的,并与树木修剪一起作为填充剂。在堆肥过程中,对混合物的主要物理和化学特性进行了监测。对提取的有机物进行电聚焦(EF)。通过主成分分析(PCA)对EF分布进行分析,以评估EF在堆肥过程中评估稳定水平的适用性。在整个过程中,即使堆肥的来源影响了EF谱,共混物仍显示出聚焦带从低pH到高pH的总体变化。如果将EF分布分为多个pH区域进行分析,则结果的解释可能会受到堆肥来源的影响。通过PCA分析整个配置文件,可以根据处理时间对堆肥样品进行良好的聚类。用PCA分析EF结果代表了一种有用的分析技术,可用于研究堆肥有机物的演变和稳定性。

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