title: Prediction of mixed hardwood lignin and carbohydrate content using ATR-FTIR and FT-NIR.
abstract: This study used Attenuated total reflectance Fourier transform infrared (ATR-FTIR) spectroscopy and Fourier transform near-infrared (FT-NIR) spectroscopy with principal component regression (PCR) and partial least squares regression (PLS) to build hardwood prediction models. Wet chemistry analysis coupled with high performance liquid chromatography (HPLC) was employed to obtain the chemical composition of these samples. Spectra loadings were studied to identify key wavenumber in the prediction of chemical composition. NIR-PLS and FTIR-PLS performed the best for extractives, lignin and xylose, whose residual predictive deviation (RPD) values were all over 3 and indicates the potential for either instrument to provide superior prediction models with NIR performing slightly better. During testing, it was found that more accurate determination of holocellulose content was possible when HPLC was used. Independent chemometric models, for FT-NIR and ATR-FTIR, identified similar functional groups responsible for the prediction of chemical composition and suggested that coupling the two techniques could strengthen interpretation and prediction.
authors: Forest Product Lab, School of Forestry and Wildlife Science, Auburn University, 520 Devall Dr., Auburn, AL 36849, USA. Electronic address: chengfengzhou828@gmail.com.
authors: Chengfeng
authors: C
authors: Zhou
authors: Laboratory of New Fiber Materials and Modern Textile, The Growing Base for State Key Laboratory, Qingdao University, Qingdao 266071, PR China. Electronic address: weijiangqd@gmail.com.
authors: Wei
authors: W
authors: Jiang
authors: Forest Product Lab, School of Forestry and Wildlife Science, Auburn University, 520 Devall Dr., Auburn, AL 36849, USA; Department of Biosystems Engineering, Auburn University, Auburn, AL 36849, USA. Electronic address: BKV0003@auburn.edu.
authors: Brian K
authors: BK
authors: Via
authors: Department of Biosystems Engineering, Auburn University, Auburn, AL 36849, USA. Electronic address: fasinoo@auburn.edu.
authors: Oladiran
authors: O
authors: Fasina
authors: Laboratory of New Fiber Materials and Modern Textile, The Growing Base for State Key Laboratory, Qingdao University, Qingdao 266071, PR China. Electronic address: Kychgt@qdu.edu.cn.
authors: Guangting
authors: G
authors: Han
keywords: ATR-FTIR; Chemical composition; FT-NIR; Fast prediction; Hardwood