Quality changes and building prediction models of shelf life in winter jujube under different storage conditions

Weijiang Fan; Guohui Du; Xuena Zhang; Yan Jiao; Jiang Wu

doi:10.1117/12.2645650

23 August 2022 Quality changes and building prediction models of shelf life in winter jujube under different storage conditions

Weijiang Fan, Guohui Du, Xuena Zhang, Yan Jiao, Jiang Wu

Author Affiliations +

Proceedings Volume 12305, International Symposium on Artificial Intelligence Control and Application Technology (AICAT 2022); 1230514 (2022) https://doi.org/10.1117/12.2645650
Event: International Symposium on Artificial Intelligence Control and Application Technology (AICAT 2022), 2022, Hangzhou, China

Abstract

This study was designed to assay the weight loss rate, hardness, color and V_Cof winter jujube with a texture analyzer under different storage temperature conditions. The zero order and first order kinetic model obtained from the physical and chemical indexes of winter jujube through the origin 8.0. The changes of winter jujube’s quality were followed firstorder model according to experimental data in this study. The shelf life model of winter jujube can quickly and accurately predict the changes of winter jujube’s quality in order to indicate the remaining shelf life of winter jujube during cold storage. The shelf life model of winter jujube can lead the safety consumption of fresh winter jujube for consumer.

Citation Download Citation

Weijiang Fan, Guohui Du, Xuena Zhang, Yan Jiao, and Jiang Wu "Quality changes and building prediction models of shelf life in winter jujube under different storage conditions", Proc. SPIE 12305, International Symposium on Artificial Intelligence Control and Application Technology (AICAT 2022), 1230514 (23 August 2022); https://doi.org/10.1117/12.2645650

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