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采用经典分析和化学计量学方法研究酿酒厂和酿酒厂残留物堆肥过程中有机物的演变。

Study of the evolution of organic matter during composting of winery and distillery residues by classical and chemometric analysis.

机构信息

Department of Agrochemistry and Biochemistry, University of Alicante, Apartado 99, E-03080 Alicante, Spain.

出版信息

J Agric Food Chem. 2009 Oct 28;57(20):9613-23. doi: 10.1021/jf901027v.

Abstract

The aim of the present paper is to evaluate the changes of organic matter during the composting process of fresh winery and distillery residues (WDR) by means of classical and chemometric analysis of (13)C cross-polarization magic angle spinning (CPMAS) NMR and Fourier transform infrared (FT-IR) spectra. (13)C NMR spectroscopy displayed a preferential biodegradation of carbohydrates as well as an accumulation of aliphatic chains (cutin- and suberin-like substances). This preferential biodegradation of the organic fractions reduces the landfill emission potential. Although the composition of the input mixture strongly affects the shape of the infrared (IR) spectra, typical bands of components can be selected and used to follow the composting process; that is, changes in the relative absorbances of the band of nitrate (at 1384 cm(-1)) and in the band of carbohydrates (at 1037 cm(-1)) have been observed. In addition, different chemometric tools, such as partial least-squares (PLS), interval PLS (iPLS), backward iPLS (biPLS), and genetic algorithm (GA), have been used to find the most relevant spectral region during the composting process. Chemometric analysis based on the combined and sequential use of iPLS and GA has been revealed as a very powerful tool for the detection in samples of the most relevant spectral region related to the composting process. From the obtained results, it can be concluded that CPMAS (13)C NMR supported by FT-IR could provide information about the evolution and characteristics of the organic matter during the composting process in order to avoid contamination problems after its use as amendment in agriculture or after landfilling.

摘要

本文旨在通过经典和化学计量学分析(13)C 交叉极化魔角旋转(CPMAS)NMR 和傅里叶变换红外(FT-IR)光谱,评估新鲜酿酒厂和蒸馏厂残渣(WDR)堆肥过程中有机物的变化。(13)C NMR 光谱显示碳水化合物优先生物降解,以及脂肪链(角质和栓质样物质)的积累。这种有机部分的优先生物降解降低了垃圾填埋场的排放潜力。尽管输入混合物的组成强烈影响红外(IR)光谱的形状,但可以选择和使用典型的成分带来跟踪堆肥过程;也就是说,观察到硝酸盐带(在 1384 cm(-1)处)和碳水化合物带(在 1037 cm(-1)处)的相对吸光度的变化。此外,还使用了不同的化学计量工具,如偏最小二乘(PLS)、区间偏最小二乘(iPLS)、反向 iPLS(biPLS)和遗传算法(GA),以找到堆肥过程中最相关的光谱区域。基于 iPLS 和 GA 的组合和顺序使用的化学计量分析已被证明是一种非常强大的工具,可用于检测与堆肥过程相关的最相关光谱区域的样品。从获得的结果可以得出结论,CPMAS(13)C NMR 与 FT-IR 相结合可以提供有关有机物在堆肥过程中演变和特性的信息,以避免在将其用作农业改良剂或在垃圾填埋后出现污染问题。

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