核果类水果干物质含量近红外无损检测研究

Measurement of Dry Matter Content in Kernel Fruits by Near-Infrared Spectroscopy

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。

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.