Potential of Near-Infrared Spectroscopy (NIRS) for Efficient Classification Based on Postharvest Storage Time, Cultivar and Maturity in Coconut Water
文献类型： 外文期刊
作者： Shen, Xiaojun 1 ; Wang, Tao 3 ; Wei, Jingyi 2 ; Li, Xin 1 ; Deng, Fuming 1 ; Niu, Xiaoqing 1 ; Wang, Yuanyuan 1 ; Kan, Jintao 1 ; Zhang, Weimin 3 ; Yun, Yong-Huan 3 ; Chen, Fusheng 2 ;
作者机构： 1.Chinese Acad Trop Agr Sci, Coconut Res Inst, Wenchang 571339, Peoples R China
2.Huazhong Agr Univ, Coll Food Sci & Technol, Wuhan 430070, Peoples R China
3.Hainan Univ, Sch Food Sci & Technol, Haikou 570228, Peoples R China
4.Innovat Platform Acad Hainan Prov, Wenchang 571339, Peoples R China
关键词： Cocos nucifera L; liquid endosperm; dwarfs; non-destructive analysis; discrimination
期刊名称：FOODS （ 影响因子：5.2； 五年影响因子：5.5 ）
ISSN：
年卷期： 2023 年 12 卷 12 期
页码：
收录情况： SCI
摘要： Coconut water (CW) is a popular and healthful beverage, and ensuring its quality is crucial for consumer satisfaction. This study aimed to explore the potential of near-infrared spectroscopy (NIRS) and chemometric methods for analyzing CW quality and distinguishing samples based on postharvest storage time, cultivar, and maturity. CW from nuts of Wenye No. 2 and Wenye No. 4 cultivars in China, with varying postharvest storage time and maturities, were subjected to NIRS analysis. Partial least squares regression (PLSR) models were developed to predict reducing sugar and soluble sugar contents, revealing moderate applicability but lacking accuracy, with the residual prediction deviation (RPD) values ranging from 1.54 to 1.83. Models for TSS, pH, and TSS/pH exhibited poor performance with RPD values below 1.4, indicating limited predictability. However, the study achieved a total correct classification rate exceeding 95% through orthogonal partial least squares discriminant analysis (OPLS-DA) models, effectively discriminating CW samples based on postharvest storage time, cultivar, and maturity. These findings highlight the potential of NIRS combined with appropriate chemometric methods as a valuable tool for analyzing CW quality and efficiently distinguishing samples. NIRS and chemometric techniques enhance quality control in coconut water, ensuring consumer satisfaction and product integrity.
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