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。
Rapid prediction of yellow peach spoilage time based on portable near infrared spectrometer
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.
yellow peachnear infrared spectroscopychemometricsspoilage timeweight loss rate
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