期刊
JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY
卷 59, 期 2, 页码 504-512出版社
AMER CHEMICAL SOC
DOI: 10.1021/jf1036678
关键词
Lignin content; rapid determination; Fourier transform mid-infrared spectroscopy; FT-IR; attenuated total reflection; partial least-squares regression; triticale; x Triticosecale; wheat; Triticum aestivum; straw; biomass
资金
- ABIP-CTBI Network
- ABIP-CBioNet
- ABIP-NAFGEN
To determine lignin content in triticale and wheat straws, calibration models were built using Fourier transform mid-infrared spectroscopy combined with partial least-squares regression. The best model for triticale and wheat straws was built using averaged spectra with raw spectrum in spectrum format and constant in path length as spectral pretreatments. The values of r(2), root-mean-square error of prediction (RMSEP), and residual predictive deviation (RPD) for the triticale straw model were 0.935, 0.305, and 3.89, respectively. The r(2), RMSEP, and RPD values for the wheat straw model were 0.985, 0.163, and 8.50, respectively. Both models showed good predictive ability. A model built using both triticale and wheat straws indicated that the values of r(2), RMSEP, and RPD were 0.952, 0.27, and 4.63, respectively. This model also showed good predictive ability and could predict lignin contents in triticale and wheat straws with the same high accuracy.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据