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) Umbrella Stand regression was applied to establish a prediction model upon the spoilage time and NIR data of yellow peach.The model Candle Holders 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.