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傅里叶变换红外光声光谱法:一种用于表征各种有机废弃物化学成分和预测其不稳定碳组分的强大工具。

FTIR-PAS: a powerful tool for characterising the chemical composition and predicting the labile C fraction of various organic waste products.

作者信息

Bekiaris Georgios, Bruun Sander, Peltre Clément, Houot Sabine, Jensen Lars S

机构信息

Department of Plant and Environmental Sciences, Faculty of Science, University of Copenhagen, Thorvaldsensvej 40, Frederiksberg C DK-1871, Denmark.

Department of Plant and Environmental Sciences, Faculty of Science, University of Copenhagen, Thorvaldsensvej 40, Frederiksberg C DK-1871, Denmark.

出版信息

Waste Manag. 2015 May;39:45-56. doi: 10.1016/j.wasman.2015.02.029. Epub 2015 Mar 17.

Abstract

Fourier transform infrared (FT-IR) spectroscopy has been used for several years as a fast, low-cost, reliable technique for characterising a large variety of materials. However, the strong influence of sample particle size and the inability to measure the absorption of very dark and opaque samples have made FTIR unsuitable for many waste materials. FTIR-photoacoustic spectroscopy (FTIR-PAS) can eliminate some of the shortcomings of traditional FTIR caused by scattering effects and reflection issues, and recent advances in PAS technology have made commercial instruments available. In this study, FTIR-PAS was used to characterise a wide range of organic waste products and predict their labile carbon fraction, which is normally determined from time-consuming assays. FTIR-PAS was found to be capable of predicting the labile fraction of carbon as efficiently as near infrared spectroscopy (NIR) and furthermore of identifying the compounds that are correlated with the predicted parameter, thus facilitating a more mechanistic interpretation.

摘要

傅里叶变换红外(FT-IR)光谱法多年来一直被用作一种快速、低成本、可靠的技术,用于表征多种材料。然而,样品粒径的强烈影响以及无法测量非常暗和不透明样品的吸收,使得傅里叶变换红外光谱法不适用于许多废料。傅里叶变换红外光声光谱法(FTIR-PAS)可以消除传统傅里叶变换红外光谱法中由散射效应和反射问题引起的一些缺点,并且光声光谱技术的最新进展已使商业仪器可用。在本研究中,傅里叶变换红外光声光谱法被用于表征多种有机废物产品,并预测其易分解碳组分,该组分通常通过耗时的分析来确定。结果发现,傅里叶变换红外光声光谱法能够像近红外光谱法(NIR)一样有效地预测碳的易分解组分,并且还能够识别与预测参数相关的化合物,从而便于进行更具机理性的解释。

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