摘要
目的:利用便携式近红外(near infrared,NIR)光谱仪与化学计量学方法预测黄桃的腐败时间。方法:利用便携式NIR光谱仪采集黄桃样本的漫反射光谱,通过光谱预处理方法提高数据特征,采用偏最小二乘法(partial least squares,PLS)建立黄桃腐败时间的预测模型。通过均方根误差(root mean square error,RMSE)和决定系数(coefficient of determination,R^(2))评估模型的预测效果。结果:模型对黄桃腐败时间预测的R^(2)为0.63,RMSE为4.09 d。结论:NIR光谱结合化学计量学方法能够实现黄桃腐败时间的无损、准确预测。
Objective:Portable near-infrared(NIR)spectroscopy and stoichiometric methods were used to predict the spoilage time of yellow peach.Methods:Diffuse reflectance spectra of yellow peach samples were collected using a portable NIR spectrometer.Spectral preprocessing techniques were employed to enhance data features,and partial least squares(PLS)regression was applied to establish a prediction model upon the spoilage time and NIR data of yellow peach.The model performance was evaluated by both root mean square error(RMSE)and coefficient of determination(R^(2)).Results:An R^(2) value of 0.63 and RMSE of 4.09 days were achieved for the spoilage time prediction for yellow peach.Conclusion:NIR spectroscopy combined with chemometric methods can provide a non-destructive and accurate prediction of yellow peach spoilage time.
作者
周旭
杨倩倩
张进
李博岩
ZHOU Xu;YANG Qianqian;ZHANG Jin;LI Boyan(School of Public Health,Guizhou Medical University,Guiyang,Guizhou 561113,China)
出处
《食品与机械》
CSCD
北大核心
2024年第5期101-106,187,共7页
Food and Machinery
基金
国家自然科学基金项目(编号:82360700,22004022)。
关键词
黄桃
近红外光谱
化学计量学
腐败时间
失重率
yellow peach
near infrared spectroscopy
chemometrics
spoilage time
weight loss rate
作者简介
周旭,男,贵州医科大学在读硕士研究生;通信作者:李博岩(1979-),男,贵州医科大学副教授,硕士生导师,博士。E-mail:Boyan_Li@hotmail.com。
