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Comparison of calibrations modeling for determination of protein of mushroom base on middle infrared spectroscopy

机译：中红外光谱法测定蘑菇蛋白质的校准模型比较

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摘要

Middle infrared spectroscopy combined with chemometrics was investigated for the fast determination of protein of mushroom. 140 samples (35 for each variety) were selected randomly for the calibration set, whereas, 40 samples for the validation set. After some spectrum preprocessing, linear modeling method (PLS) and nonlinear modeling LS-SVM were constructed. Different latent variables were used as inputs of LS-SVM. The optimal models were obtained with 8 LVs based on LS-SVM. The correlation coefficient,,root mean square error of prediction for the best prediction by LV-LS-SVM were 0.9275,0.25961. The result indicated that middle infrared spectroscopy combined with LV-LS-SVM could be applied as a high precision and fast way for determination protein of mushroom.
机译：研究了中红外光谱结合化学计量学快速测定蘑菇中蛋白质的含量。随机选择140个样本（每个品种35个）作为校准集，而选择40个样本作为验证集。经过一些频谱预处理，构建了线性建模方法（PLS）和非线性建模LS-SVM。不同的潜在变量用作LS-SVM的输入。基于LS-SVM的8个LV获得了最优模型。用LV-LS-SVM进行最佳预测的相关系数，均方根误差为0.9275,0.25961。结果表明，中红外光谱法结合LV-LS-SVM可以作为一种快速，准确的方法测定蘑菇中蛋白质的方法。

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  • 来源
  • 会议地点 Sanya(CN);Sanya(CN)
  • 作者

    NIE PengCheng; YANG Yan; HE Yong;

  • 作者单位

    College of Bio-systems Engineering and Food Science, Zhejiang University , Hangzhourn School of Electronic and Information Engineering, Nanchang Hang Kong University, Nanchang;

    College of Bio-systems Engineering and Food Science, Zhejiang University , Hangzhou School of Mathematical Sciences, Guangxi Teachers Education University , Nanning;

    College of Bio-systems Engineering and Food Science, Zhejiang University , Hangzhou;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 一般性问题;
  • 关键词

    mushroom; middle infrared spectroscopy; PLS-SVM; protein;

    机译：蘑菇;中红外光谱PLS-SVM;蛋白;

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