便携式红提葡萄多品质可见/近红外检测仪设计与试验  

Design and Test of Portable Red Globe Grape Extraction Multi-qualityVisible/Near Infrared Detector

作　　者：高升 王巧华[1,2] 施行 李庆旭 GAO Sheng;WANG Qiaohua;SHI Hang;LI Qingxu(College of Engineering,Huazhong Agricultural University,Wuhan 430070,China;Key Laboratory of Agricultural Equipment in Mid-lower Yangtze River,Ministry of Agriculture and Rural Affaris,Wuhan 430070,China)

机构地区：[1]华中农业大学工学院,武汉430070 [2]农业农村部长江中下游农业装备重点实验室,武汉430070

出　　处：《农业机械学报》2021年第2期308-319,共12页Transactions of the Chinese Society for Agricultural Machinery

基　　金：国家自然科学基金项目(31871863);湖北省自然科学基金项目(2012FKB02910);湖北省研究与开发计划项目(2011BHB016)。

摘　　要：基于可见/近红外漫反射光谱分析技术,设计了便携式生长期红提葡萄多品质参数无损检测仪,该仪器由光谱采集探头、光谱仪、卤素灯光源、锂电池、控制器及外围电路等部分组成,仪器尺寸为200 mm×160 mm×150 mm,方便携带。以生长期内的红提葡萄果粒为研究对象,采集400~1000 nm的可见/近红外漫反射光谱信息,对原始光谱进行预处理和特征波长提取,分别建立了红提SSC、总酸质量分数、pH值、硬度和含水率的最优偏最小二乘回归(PLSR)预测模型,所建各指标的最优PLSR预测模型的预测集相关系数分别为0.9545、0.9778、0.9878、0.9456、0.9028,均方根误差分别为1.0122°Brix、2.0225%、0.0747、7.2813 N、0.9799%。基于MFC开发工具,运用C++语言编写了仪器实时分析处理软件,将所建红提葡萄多品质参数的最优PLSR预测模型植入硬件装置中,实现了生长期红提葡萄果粒的多品质参数一键式无损检测。经检验测试,果粒SSC、总酸质量分数、pH值、硬度和含水率预测集相关系数R p分别为0.9414、0.9687、0.9768、0.9348、0.9006,预测集均方根误差分别为1.1567°Brix、2.3645%、0.0986、8.3571 N、1.1051%,且该检测仪一次检测时间不超过2 s,说明该仪器可完成生长期红提葡萄果粒的实时无损检测。Based on the visible/near infrared diffuse reflectance spectroscopy technology,a portable nondestructive detector for red globe grape extraction multi-quality parameters in growth period was designed.The instrument included a spectrum acquisition probe,a spectrometer,a halogen lamp light source,a lithium battery,a controller and peripheral circuits.The size of the whole instrument was 200 mm×160 mm×150 mm,which was convenient to carry.The red globe grape extracted fruit grains in the growing period were selected as research objects,and visible/near infrared diffuse reflectance spectral information in the range of 400 nm to 1000 nm was collected,the original spectrum was preprocessed and the characteristic wavelength was extracted,and the optimal partial least squares regression(PLSR)prediction models of SSC,total acid,pH value,firmness and moisture content of red globe grape extracted fruits were respectively established.The correlation coefficients of the prediction set of the optimal PLSR prediction model for each index were 0.9545,0.9778,0.9878,0.9456 and 0.9028,respectively,and the root mean square error was 1.0122°Brix,2.0225%,0.0747,7.2813 N and 0.9799%,respectively.Based on MFC development tools,instrument real-time analysis and processing software was written by C++language,and the optimal PLSR prediction model with multiple quality parameters of red globe grape extract was implanted into hardware device,thus realizing one-touch non-destructive detection of multiple quality parameters of red globe grape extract during growth period.After inspection and testing,the predicted set and correlation coefficient of SSC,total acid,pH value,firmness and moisture content of red globe grape extracted fruit grains of the tester were 0.9414,0.9687,0.9768,0.9348 and 0.9006,respectively.The root mean square error of the prediction set was 1.1567°Brix,2.3645%,0.0986,8.3571 N and 1.1051%,respectively.And the primary detection time of the detector was less than 2 s.The results show that the instrument can realize the r

关 键 词：红提葡萄 内部多品质参数 可见/近红外光谱 无损检测 便携式仪器 

分 类 号：S371[农业科学—农产品加工]