磨盘柿可溶性固形物的可见/近红外漫反射光谱无损检测

doi:10.7506/spkx1002-6630-201106044

食品科学 ›› 2011, Vol. 32 ›› Issue (6 ): 191-194.doi: 10.7506/spkx1002-6630-201106044

磨盘柿可溶性固形物的可见/近红外漫反射光谱无损检测

张鹏^1.2,李江阔²,孟宪军¹,张平²,王宝刚³,冯晓元³

1.沈阳农业大学食品学院 2.国家农产品保鲜工程技术研究中心，天津农产品采后生理与贮藏保鲜重点实验室 3.北京市农林科学院林业果树研究所

收稿日期:2010-04-19 修回日期:2011-01-24 出版日期:2011-03-25 发布日期:2011-03-03
通讯作者: 孟宪军 E-mail:mengxjsy@126.com
基金资助:
“十一五”国家科技支撑计划项目(2006BAD30B01)

Nondestructive Determination of Soluble Solid Content in Mopan persimmon by Visible and Near-infrared Diffuse Reflection Spectroscopy

ZHANG Peng1,2，LI Jiang-kuo2，MENG Xian-jun1,*，ZHANG Ping2，WANG Bao-gang3，FENG Xiao-yuan3

1. College of Food Science, Shenyang Agricultural University, Shenyang 110161, China；2. National Engineering and Technology
Research Center for Preservation of Agricultural Products, Tianjin Key Laboratory of Post-harvest Physiology and Storage of
Agricultural Products, Tianjin 300384, China；3. Institute of Forestry and Pomology, Beijing Academy of Agriculture and
Forestry Sciences, Beijing 100093, China

Received:2010-04-19 Revised:2011-01-24 Online:2011-03-25 Published:2011-03-03
Contact: MENG Xian-jun1 E-mail:mengxjsy@126.com

摘要/Abstract

摘要： 研究可见/近红外漫反射光谱技术快速检测磨盘柿可溶性固形物的方法。在可见/近红外光谱区域(570～1848nm)，对比分析不同数学建模算法、不同导数处理方法和不同散射及标准化处理的果实可溶性固形物定标模型。结果表明：应用改进偏最小二乘回归算法、一阶导处理和去散射处理所建果实可溶性固形物定标模型的预测性能较优，其定标交互验证相关系数(Rcv)和预测相关系数(Rp2)分别为0.8076和0.8085，定标交互验证均方根误差(RMSECV)和预测均方根误差(RMSEP)分别为0.4546°Brix和0.4482°Brix。这表明，可见/近红外漫反射技术对磨盘柿可溶性固形物的快速无损检测具有可行性。

关键词: 可见/近红外漫反射光谱, 磨盘柿, 可溶性固形物(SSC), 改进偏最小二乘法, 一阶导光谱

Abstract: The method of visible and near-infrared diffuse reflection (VIS/NIR) spectroscopy was used to rapidly determine soluble solid content (SSC) of intact Mopan persimmon fruits. In spectral region between 570 nm and 1848 nm, calibration results for the SSC of fruits were compared with different regression techniques, different derivative treatments and different scatter and standard treatments. The results indicated that the modified partial least squares (MPLS) model with the first derivative D1 log(1/R) processing and disscattering treatment provided better prediction performance for the SSC in fruits. The correlation coefficient of cross validation (Rcv), correlation coefficient of prediction (Rp2), root-mean-square error of cross-validation (RMSECV) and root-mean-square error of prediction (RMSEP) were 0.8076, 0.8085, 0.4546 °Brix and 0.4482 °Brix, respectively. These results confirmed that it is feasible to use the established VIS/NIR spectroscopy model for the nondestructive determination of the SSC in Mopan persimmon fruits.

Key words: visible and near infrared diffuse reflection spectroscopy, Mopan persimmon, soluble solid content (SSC), modified partial least squares, first derivative absorption spectrum

中图分类号:

S665.2

张鹏1,2，李江阔2，孟宪军1,*，张平2，王宝刚3，冯晓元3. 磨盘柿可溶性固形物的可见/近红外漫反射光谱无损检测[J]. 食品科学, 2011, 32(6 ): 191-194.

ZHANG Peng1,2，LI Jiang-kuo2，MENG Xian-jun1,*，ZHANG Ping2，WANG Bao-gang3，FENG Xiao-yuan3. Nondestructive Determination of Soluble Solid Content in Mopan persimmon by Visible and Near-infrared Diffuse Reflection Spectroscopy[J]. FOOD SCIENCE, 2011, 32(6 ): 191-194.

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磨盘柿可溶性固形物的可见/近红外漫反射光谱无损检测

Nondestructive Determination of Soluble Solid Content in Mopan persimmon by Visible and Near-infrared Diffuse Reflection Spectroscopy

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