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核果类水果干物质含量近红外无损检测研究
引用本文:王宝刚,李文生,蔡宋宋,冯晓元,石磊,杨媛,王纪华.核果类水果干物质含量近红外无损检测研究[J].光谱实验室,2010,27(6):2118-2123.
作者姓名:王宝刚  李文生  蔡宋宋  冯晓元  石磊  杨媛  王纪华
作者单位:[1]北京农产品质量检测与农田环境监测技术研究中心,北京市100097 [2]北京市农林科学院林业果树研究所,北京市海淀区香山瑞王玟甲12号100093
摘    要:以桃、李及杏果实为材料,研究其干物质含量的近红外漫反射无损检测模型的建立方法。研究发现,桃、李及杏果实干物质预测模型的决定系数(r_P~2)分别为0.901、0.909及0.923,预测均方根误差(RMSEP)分别为0.365、0.401及0.465,相对分析误差(RPD_P)分别达2.9、3.2及3.1以上。结果表明,近红外漫反射光谱可用于准确、快速、无损定量3种水果中干物质含量。

关 键 词:      近红外光谱  干物质

Measurement of Dry Matter Content in Kernel Fruits by Near-Infrared Spectroscopy
WANG Bao-Gang,LI Wen-Sheng,CAI Song-Song,FENG Xiao-Yuan,SHI Lei,YANG Yuan,WANG Ji-Hua.Measurement of Dry Matter Content in Kernel Fruits by Near-Infrared Spectroscopy[J].Chinese Journal of Spectroscopy Laboratory,2010,27(6):2118-2123.
Authors:WANG Bao-Gang  LI Wen-Sheng  CAI Song-Song  FENG Xiao-Yuan  SHI Lei  YANG Yuan  WANG Ji-Hua
Institution:(Beijing Research Center for Agrifood Testing and Farmland Monitoring, Beijing 100097, P. R. China; Institute of Forestry and Pomology, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100093, P. R. China)
Abstract:Calibration model for dry matter content in kernel fruits (peach,plum and apricots) was developed by near-infrared (NIR) diffuse reflectance. Results showed that the peach,plum and apricot models respectively provided a coefficients of determination of prediction (r 2 p) of 0. 901,0. 909 and 0. 923,and root mean square error of prediction (RMSEP) of 0. 365,0. 401 and 0. 465,and the ratio performance deviations (RPDp) of 2. 9,3.2 and 3.1 above, respectively. The results indicate that it is available to use near-infrared diffuse reflectance spectroscopy for evaluating dry matter content in peach ,plum and apricot.
Keywords:Peach  Plum  Apricot  Near-Infrared Spectroscopy  Dry Matter Content
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