基于便携式近红外光谱仪的黄桃腐败时间快速预测
Rapid prediction of yellow peach spoilage time based on portable near infrared spectrometer
周旭 1杨倩倩 1张进 1李博岩1
作者信息
- 1. 贵州医科大学公共卫生与健康学院,贵州贵阳 561113
- 折叠
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,R2)评估模型的预测效果.结果:模型对黄桃腐败时间预测的R2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.
Abstract
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(R2).Results:An R2 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.
关键词
黄桃/近红外光谱/化学计量学/腐败时间/失重率Key words
yellow peach/near infrared spectroscopy/chemometrics/spoilage time/weight loss rate引用本文复制引用
基金项目
国家自然科学基金(82360700)
国家自然科学基金(22004022)
出版年
2024
国家科技期刊平台
NSTL
万方数据