Nutrient content prediction and geographical origin identification of red raspberry fruits by combining hyperspectral imaging with chemometrics

Nutrient content prediction and geographical origin identification of red raspberry fruits by combining hyperspectral imaging with chemometrics

The geographical origin and the important nutrient contents greatly affect the quality of red raspberry (RRB, Rubus idaeus L.), a popular fruit with various health benefits. In this study, a chemometrics-assisted hyperspectral imaging (HSI) method was developed for predicting the nutrient contents,...

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Bibliographic Details
Main Authors: Youyou Wang, Yue Zhang, Yuwei Yuan, Yuyang Zhao, Jing Nie, Tiegui Nan, Luqi Huang, Jian Yang
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-10-01
Series:Frontiers in Nutrition
Subjects:
red raspberry
hyperspectral imaging
chemometrics
nutrients content
geographic origin
prediction
Online Access:https://www.frontiersin.org/articles/10.3389/fnut.2022.980095/full

Internet

https://www.frontiersin.org/articles/10.3389/fnut.2022.980095/full

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