江苏大学学报（自然科学版）2011，Vol.32Issue(2)：140-143,4.DOI:10.3969/j.issn.1671-7775.2011.02.004
基于特征光谱提取的有机基质含水量快速测定方法
Moisture content detection in organic substrates based on characteristic wavelength in near infrared spectroscopy
摘要
Abstract
For developing a method for rapid detection of moisture content in vinegar residue substrates,visible-near-infrared spectroscopy was used for collecting the spectral data of the representative samples.The moving average filter (MAF) and first derivative (FD) were selected as the spectra preprocessing method. In accordance with the change of determination coefficients, seven spectra sections were chosen for determining the characteristic wavelengths. Stepwise linear regression (SLR) method was applied to perform the calibration models for predicting the moisture content. The results indicated that the characteristic wavelength was at 1 844, 1 889, 1 544 and 1 735 nm, respectively. Based on these wavelengths,5 linear regression models were performed by stepwise regression method. For comparing the predictive precision of these models, the correlationship between prediction moisture content and that obtained by oven-drying method was analyzed. It is confirmed that the multivariate equation with the characteristic wavelength 1 889, 1 544 and 1 735 nm had higher predictive precision with correlation coefficient 0. 967 4 and root mean squared error of prediction (RMSEP) 0. 098 1. It is concluded that the visible-near-infrared spectroscopy with characteristic wavelength selecting is a useful method for rapid detection of organic substrate moisture content.关键词
有机基质/含水量/近红外光谱/特征光谱/线性回归法分类
农业科技引用本文复制引用
朱咏莉,李萍萍,毛罕平,吴沿友..基于特征光谱提取的有机基质含水量快速测定方法[J].江苏大学学报（自然科学版）,2011,32(2):140-143,4.基金项目
国家农业成果转化项目(2008GB2C100106) （2008GB2C100106）
国家科技支撑计划项目(2008BADA6B04) （2008BADA6B04）
