洋梨硬度的便携式可见/近红外漫透射检测技术  

Evaluation of European Pear (Pyrus communis L.) Firmness Based on Portable Vis/NIR Transmittance Technique

作　　者：王加华[1,2] 陈卓[3] 李振茹[4] 韩东海[2] 

机构地区：[1]许昌学院化学化工学院,许昌461000 [2]中国农业大学食品科学与营养工程学院,北京100083 [3]中国农业大学水利与土木工程学院,北京100083 [4]北京市大兴区林业局,北京102600

出　　处：《农业机械学报》2010年第11期129-133,共5页Transactions of the Chinese Society for Agricultural Machinery

基　　金："十一五"国家科技支撑计划资助项目(2006BAD05A06);国家自然科学基金资助项目(30571073)

摘　　要：采用便携式可见/近红外检测仪快速检测阿巴特、康佛伦斯和五九香梨硬度。采集洋梨漫透射光谱(500～1 010 nm),经二阶导数和卷积平滑处理后,分别建立偏最小二乘法和多元线性回归模型。相关系数法和遗传算法用于选择偏最小二乘法建模变量,预测均方差分别为7.780 N和8.080 N,相对预测误差分别为26.24%和29.71%。多元线性回归模型使用7个变量,预测均方差和相对预测误差分别为7.740 N和26.10%。结果表明:建立多品种洋梨硬度全局模型是可行的,便携式仪器可用于洋梨硬度现场检测。A portable visible（Vis）/near infrared（NIR） spectrometer was performed on pears（Pyrus communis L.） cv ＇Abate＇,＇Conference＇ and ＇Wujiuxiang＇ for firmness assessment by diffused transmittance technique.One set of 96 pears were used to explore the performance of this technique on developing global firmness models with partial least squares（PLS） and multiple linear regression（MLR） methods.The spectra were treated by 2nd order derivation with Savitsky–Golay（polynomial order 2,data point 25）.Genetic algorithms partial least squares（GA-PLS） and regression coefficient method were used to select informative variable for PLS calibration.The global models were obtained by PLS to predict firmness yield the root mean standard error of prediction（RMSEP） of 7.780 N and 8.080 N,and the relative standard deviation of prediction（RSD） of 26.24% and 29.71%,respectively.The global model for firmness measurement was also obtained by MLR with RMSEP of 7.740 N and RSD of 26.10%,respectively.The results highlight the potential of portable Vis/NIR instruments for assessing internal quality of European pear on-site.

关 键 词：洋梨 硬度 近红外光谱 漫透射 无损检测 

分 类 号：S123[农业科学—农业基础科学] O657.33[理学—分析化学]