蓝莓可溶性固形物、总酸近红外无损检测模型的建立  

Non-Destructive Testing of Soluble Solids and Total Acidity in Blueberry by Near-Infrared Diffuse Reflectance Spectroscope

作　　者：刘小路[1] 薛璐[1] 鲁晓翔[1] 张鹏[2] 陈绍慧[2] 李江阔[2] 

机构地区：[1]天津商业大学生物技术与食品科学学院/天津市食品生物技术重点实验室,天津300134 [2]国家农产品保鲜工程技术研究中心/天津市农产品采后生理与贮藏保鲜重点实验室,天津300384

出　　处：《食品与生物技术学报》2016年第7期752-756,共5页Journal of Food Science and Biotechnology

基　　金：国家"十二五"科技支撑计划项目(2012BAD38B01);天津市创新团队项目(TD12-5049)

摘　　要：建立了近红外漫反射光谱技术检测蓝莓可溶性固形物、总酸的数学模型,并对其进行评价。实验比较了在近红外全波长范围400-2 500 nm内,不同的光谱预处理方法对模型的影响。结果表明利用偏最小二乘法（PLS）、一阶导数（D1Log（1/R））和加权多元离散校正处理（WMSC）建立的可溶性固形物含量（SSC）定标模型预测结果相对较好。其预测相关系数Rp2为0.8518,预测标准误差（SEP）为0.351,相对分析误差（RPD）为2.05。总酸的最佳模型处理条件为改进偏最小二乘法（MPLS）、二阶导数（D2Log（1/R））和WMSC,其Rp2为0.8776,SEP为0.042,RPD为2.10。由此确定近红外漫反射技术可用于蓝莓可溶性固形物、总酸含量的快速无损检测。The purpose of this research is to establish mathematical model between near infrared diffuse reflection(NIR) spectroscopy and soluble solids and total acidity in blueberry,and to evaluate its application value. The influence of different spectral preprocessing methods on the model was compared in the spectral region between 400~2500 nm. The results showed that the calibration model with the partial least squares(PLS),the first derivative D1lg(1/R) and weighted multiple scatter correction(WMSC) could provide better prediction performance for SSC,with the correlation coefficient of prediction(Rp2)of 0.8518 and the root mean square error of prediction(SEP) of 0.351 and relative percent deviation of prediction(RPD) of 2.05. The best model of total acidity is the modified partial least squares(MPLS) model,the second derivative D2lg(1/R) and WMSC,with the correlation coefficient of prediction(Rp2)of 0.8776 and the root mean square error of prediction(SEP) of 0.042 and relative percent deviation of prediction(RPD) of 2.10. So the near-infrared diffuse reflectance spectroscope can be used for fast nondestructive measurement of soluble solids and total acidity in blueberry.

关 键 词：蓝莓 近红外漫反射光谱 可溶性固形物 总酸 无损检测 

分 类 号：TS255.7[轻工技术与工程—农产品加工及贮藏工程]