Rapid Nondestructive Detection of the Pulp Firmness and Peel Color of Figs by NIR Spectroscopy-Reference-Cited by-同舟云学术

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Rapid Nondestructive Detection of the Pulp Firmness and Peel Color of Figs by NIR Spectroscopy

Published:2022-05-07 Issue:9 Volume:15 Page:2575-2593
ISSN:1936-9751
Container-title:Food Analytical Methods
language:en
Short-container-title:Food Anal. Methods

Author:

Zhou Jingyu,Liu Xinyu,Sun Rui^ORCID,Sun Lei

Funder

Qinghai Province Science and Technology Project

Jinan 20 Rules of High School

Natural Science Foundation of Shandong Province

Shandong Province Key Research and Development Program

Publisher

Springer Science and Business Media LLC

Subject

Safety Research,Safety, Risk, Reliability and Quality,Applied Microbiology and Biotechnology,Food Science,Analytical Chemistry

Link

https://link.springer.com/content/pdf/10.1007/s12161-022-02314-2.pdf

Reference36 articles.

1. Alamar PD, Caramês ETS, Poppi RJ, Pallone JAL (2016) Quality evaluation of frozen guava and yellow passion fruit pulps by NIR spectroscopy and chemometrics. Food Res Int 85:209–214. https://doi.org/10.1016/j.foodres.2016.04.027

2. Albanell E, Martínez M, De Marchi M, Manuelian CL (2021) Prediction of bioactive compounds in barley by near-infrared reflectance spectroscopy (NIRS). J Food Compos Anal 97:103763. https://doi.org/10.1016/j.jfca.2020.103763

3. Arvaniti OS, Samaras Y, Gatidou G et al (2019) Review on fresh and dried figs: chemical analysis and occurrence of phytochemical compounds, antioxidant capacity and health effects. Food Res Int 119:244–267. https://doi.org/10.1016/j.foodres.2019.01.055

4. Azarmdel H, Jahanbakhshi A, Mohtasebi SS, Muñoz AR (2020) Evaluation of image processing technique as an expert system in mulberry fruit grading based on ripeness level using artificial neural networks (ANNs) and support vector machine (SVM). Postharvest Biol Technol 166:111201. https://doi.org/10.1016/j.postharvbio.2020.111201

5. Benalia S, Cubero S, Prats-Montalbán JM et al (2016) Computer vision for automatic quality inspection of dried figs (Ficus carica L.) in real-time. Comput Electron Agric 120:17–25. https://doi.org/10.1016/j.compag.2015.11.002

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