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

被引：49

作者：

Bekiaris, Georgios ^{[1
]}

Bruun, Sander ^{[1
]}

Peltre, Clement ^{[1
]}

Houot, Sabine ^{[2
]}

Jensen, Lars S. ^{[1
]}

机构：

[1] Univ Copenhagen, Dept Plant & Environm Sci, Fac Sci, DK-1871 Frederiksberg C, Denmark

[2] AgroParisTech Environm & Arable Crops, INRA, UMR 1091, F-78850 Thiverval Grignon, France

来源：

WASTE MANAGEMENT | 2015年 / 39卷

关键词：

FTIR-photoacoustic spectroscopy; Organic amendment; C mineralisation; Prediction; Compost; LEAST-SQUARES REGRESSION; NITROGEN MINERALIZATION; SPECTROSCOPIC ANALYSIS; MATTER COMPOSITION; SOIL; CARBON; IR; CELLULOSE; LIGNIN; MANURE;

D O I：

10.1016/j.wasman.2015.02.029

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

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. (c) 2015 Elsevier Ltd. All rights reserved.

引用

页码：45 / 56

页数：12

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