多年份苹果糖度近红外预测模型建立
目的 开发多年份苹果糖度预测模型。方法 将移动窗口偏最小二乘法（MWPLS）用于优化3个采收年份的苹果糖度信息区间，构建一种新颖的线性组合权重偏最小二乘法(LCW-PLS)模型。结果MWPLS选择结果为4328~4787 cm-1、5323~5512 cm-1、5982~7135 cm-1和7159~7463 cm-1，当对应权重为0.004、0.070、0.066和0.860时，所建LCW-MWPLS模型预测性能较好，其RP = 0.942、RMSEP = 0.649 %Brix和Q = 0.890。结论 LCW-PLS法可改进常规PLS模型，为果品品质分级提供了一种建模参考方法。
Objective To develop a general soluble solids content (SSC) model for apple harvested at different years. Methods Moving window partial least squares (MWPLS) were used to optimize informative spectral regions from FT-NIR spectra. A novel potential method, linear combination weight PLS (LCW-PLS) model, was applied for improving the performance of routine PLS model based on selected informative regions. Results The best calibration model of SSC in apple was obtained by LCW-MWPLS method based on informative spectral regions of 4328?4787, 5323?5512, 5982?7135 and 7159?7463 cm-1 selected by MWPLS procedure, and corresponding weights of 0.004, 0.070, 0.066 and 0.860, respectively. When the performance of LCW-MWPLS model was evaluated by the samples in prediction set, the RP, RMSEP and Q value were 0.942, 0.649 and 0.890, respectively. Conclusion The LCW-MWPLS model giving a prediction error equal to 4% of fresh weight was sufficiently accurate to determine the SSC of apple nondestructively.curate to determine the SSC of apple nondestructively.
标题：多年份苹果糖度近红外预测模型建立
英文标题：Developing of predictive model of soluble solids content of apple harvested at different years
作者：
王加华 许昌学院食品与生物工程学院
汤智辉 新疆农垦科学院机械装备研究所
韩东海 中国农业大学食品科学与营养工程学院
中文关键词:近红外光谱,信息区间优化,苹果,糖度,
英文关键词:Near infrared spectroscopy,Informative spectral region optimization,Apple,Soluble solids content,
发表日期：2014-02-26
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