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Study on Quality Model of Apple During Controlled Atmosphere Storage Based on VIS/NIR Spectroscopy

Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan

Citation:  2021 ASABE Annual International Virtual Meeting  2100325.(doi:10.13031/aim.202100325)
Authors:   Maosheng Shen, Hao Li, Bo Zhang, Mengsheng Zhang, Yuge Pu, Ang Chen, Juan Zhao
Keywords:   Apple; Controlled atmosphere storage; NIR spectroscopy; Soluble solids content

Abstract. The global apple production is huge, most of the apples need to be stored after harvest. Apple quality will change greatly during long-term storage. In order to ensure the edible value and commodity value of apples, it is necessary to predict the quality of apples during storage. Soluble solids content (SSC) is the most important factor affecting apple taste. In this study, the quality change trend of apples in different controlled atmosphere storage was studied, and the non-destructive prediction model of SSC was established by using visible-near-infrared (Vis-NIR, 400-1100nm) spectroscopy and long-wave near-infrared (LWIR, 900-2500nm) spectroscopy for apples in different storage environments. It was found that the general effect of SSC prediction models in different controlled atmosphere storage environments was poor, mainly because of the influence of temperature on the ripening rate of apples during storage. The partial least squares (PLS) model based on LWIR spectroscopy has higher accuracy (Rc = 0.9245, RMSEC = 0.3549, Rp = 0.8757, RMSEP = 0.4092). In order to improve the accuracy and applicability of the model and reduce the decrease of the model accuracy due to the change of time, find the parameters that can reflect the change of apple storage time, take the fruit weight loss rate as the input to correct the model. It has achieved good modeling accuracy, and effectively improve the scope of application of the model. This study provides a theoretical basis for reasonable management of apple during storage and guarantees apple quality.

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