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标题：Nutritive quality prediction of peaches during storage
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作者：Yuming Zhong ; Yao Bao ; Yumin Chen 等
期刊名称：Food Science & Nutrition
电子版ISSN：2048-7177
出版年度：2021
卷号：9
期号：7
页码：3483-3490
DOI：10.1002/fsn3.2287
语种：English
出版社：John Wiley & Sons, Ltd.
摘要：Peaches (Prunus persica L. Batsch) are commonly consumed fruits with high nutritional value. We evaluated the nutritive qualities of peach fruit during storage. Heatmap analysis showed that protein, ash, and crude fiber contents clustered together, whereas fat and reducing sugars clustered separately. We then classified the nutrients into two clusters; cluster 1 showed low fat and reducing sugar levels and high protein, crude fiber, and ash levels, whereas cluster 2 showed high fat and reducing sugar levels and low protein, cruder fiber, and ash levels. Partial least squares regression and random forest analyses showed accuracies of 67% and 61%, respectively. Spectra at 1,439 and 1,440 nm indicated reducing sugars, and the spectrum at 2,172 nm indicated protein. Thus, Fourier transform‐near infrared spectroscopy could predict the two clusters based on five nutritive qualities. Our findings may help to establish guidelines for promoting the acceptability of peach fruits among consumers.