Rapid prediction of yellow peach spoilage time based on portable near infrared spectrometer

Authors

ZHOU Xu, School of Public Health, Guizhou Medical University, Guiyang, Guizhou 561113, China
YANG Qianqian, School of Public Health, Guizhou Medical University, Guiyang, Guizhou 561113, China
ZHANG Jin, School of Public Health, Guizhou Medical University, Guiyang, Guizhou 561113, China
LI Boyan, School of Public Health, Guizhou Medical University, Guiyang, Guizhou 561113, ChinaFollow

Corresponding Author(s)

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

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.

Publication Date

7-22-2024

First Page

101

Last Page

106,187

DOI

10.13652/j.spjx.1003.5788.2024.60057

Recommended Citation

Xu, ZHOU; Qianqian, YANG; Jin, ZHANG; and Boyan, LI (2024) "Rapid prediction of yellow peach spoilage time based on portable near infrared spectrometer," Food and Machinery: Vol. 40: Iss. 5, Article 15.
DOI: 10.13652/j.spjx.1003.5788.2024.60057
Available at: https://www.ifoodmm.cn/journal/vol40/iss5/15

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