Literature DB >> 25795481

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

Georgios Bekiaris1, Sander Bruun2, Clément Peltre1, Sabine Houot3, Lars S Jensen1.   

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.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  C mineralisation; Compost; FTIR–photoacoustic spectroscopy; Organic amendment; Prediction

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Year:  2015        PMID: 25795481     DOI: 10.1016/j.wasman.2015.02.029

Source DB:  PubMed          Journal:  Waste Manag        ISSN: 0956-053X            Impact factor:   7.145


  2 in total

1.  Research on Thermal Behaviors and NO x Release Properties during Combustion of Sewage Sludge, Sawdust, and Their Blends.

Authors:  Wenjun Yang; Li Zou; Huaishuang Shao; Qinxin Zhao; Yungang Wang
Journal:  ACS Omega       Date:  2022-05-27

2.  Application of FTIR-PAS in Rapid Assessment of Rice Quality under Climate Change Conditions.

Authors:  Lianlian Wei; Fei Ma; Changwen Du
Journal:  Foods       Date:  2021-01-14
  2 in total

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