摘要
该文提供了一种应用高光谱技术快速无损检测包装生鲜牛肉pH的方法。该文采用高光谱成像系统在400~1000 nm内采集聚丙烯(polypropylene,PP)和聚乙烯(polyethylene,PE)薄膜下牛肉的高光谱数据,采用5种预处理方法对原始光谱进行预处理。在最佳预处理方法上采用3种特征波长筛选方法提取特征波长,建立偏最小二乘回归(partial least squares regression,PLSR)和最小二乘支持向量机(least squares-support vector machine,LSSVM)模型。结果表明,竞争性自适应加权算法(competitive adaptive reweighed sampling,CARS)结合PLSR对PP薄膜下的牛肉pH值预测效果最佳,预测集决定系数R_(p)^(2)为0.9553,RMSEP为0.1067;变量组合集群分析算法(variable combination population analysis,VCPA)结合LSSVM对PE薄膜下的牛肉pH值预测效果最佳,R_(p)^(2)为0.9569,RMSEP为0.1049。高光谱技术在包装牛肉pH值无损检测上有较高的应用潜力。
This study aimed to obtain the pH value of packaged fresh beef quickly and accurately during the transportation and sale of beef,which was of great significance for fresh beef quality testing.A method for rapid and non-destructive testing of the pH of packaged beef using hyperspectral techniques was provided.Hyperspectral data of beef under polypropylene(PP) and polyethylene(PE) films within 400-1 000 nm was collected by a hyperspectral imaging system,and five preprocessing methods were used to preprocess the original spectrum.Three characteristic wavelength screening methods were used to extract characteristic wavelengths based on the best preprocessing method,and partial least squares regression(PLSR) and least squares-support vector machine(LSSVM) models were established.Results show that the competitive adaptive reweighed sampling(CARS) combined with PLSR has the best effect on the prediction of the pH value of beef under PP film,the prediction set decision coefficient R_(p)^(2) was 0.955 3 and root mean square error(RMSEP) was 0.106 7,and the PLSR based on variable combination population analysis(VCPA) was optimal for the prediction of pH value of beef under PE film,with R_(p)^(2) of 0.956 9 and RMSEP of 0.104 9.The research results show that hyperspectral technology has high application potential in the non-destructive detection of the pH value of beef after packaging.
作者
张文祥
潘嘹
卢立新
ZHANG Wenxiang;PAN Liao;LU Lixin(School of Mechanical Engineering,Jiangnan University,Wuxi 214122,China;Jiangsu Key Laboratory of Advanced Food Manufacturing Equipment and Technology,Wuxi 214122,China)
出处
《食品与发酵工业》
CAS
CSCD
北大核心
2023年第22期273-278,共6页
Food and Fermentation Industries
基金
国家重点研发计划项目(2018YFC1603200,2018YFC1603202)。
关键词
牛肉
PH值
高光谱
包装
无损检测
beef
pH value
hyperspectral
packaging
non-destructive testing
