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Review | Publishing Language: Chinese | Open Access

Progress in Non-destructive Citrus Quality Detection Using Near-infrared Spectroscopy

Xinxin ZHANG1 , Pao LI1,2 ( ), Mei YU1, Liwen JIANG1, Xia LIU1, Yang SHAN2
Hunan Provincial Key Laboratory of Food Science and Biotechnology, College of Food Science and Technology, Hunan Agricultural University, Changsha 410128, China
Hunan Agricultural Product Processing Institute, Hunan Academy of Agricultural Sciences, Changsha 410125, China
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Abstract

Citrus is the world’s most produced fruit. China is a big producer and seller of citrus. At present, there are some problems in China’s citrus industry, such as poor separation and processing technologies and backward postharvest postharvest quality grading, making citrus fruit from the country uncompetitive in the international market. The detection and quality grading of citrus products is an effective way to improve their competitiveness. However, traditional quality evaluation methods, such as naked eye observation, image recognition and chemical titration, are time-consuming, laborious, and inaccurate. Particularly, chemical titration is destructive to samples. Therefore, developing a fast and non-destructive detection method for citrus fruit quality is a hotspot and difficulty in current research. In recent years, near-infrared spectroscopy (NIRS) has been widely used in the non-destructive analysis of environmental, medicinal and food samples. However, there are still some problems in the non-destructive testing of citrus fruit by NIRS, such as unclear mechanism and low precision. Researchers from China and other countries have made many efforts to solve those problems. In this article, the literature on non-destructive detection of citrus using NIRS is reviewed, with focus on the feasibility of using NIRS to detect citrus fruit as well as the selection and chemometric optimization of instrument types and parameters. And some suggestions are put forward to solve problems existing in this field. We expect that this review will provide reference for the nondestructive detection of citrus fruit.

CLC number: TS207.3 Document code: A Article ID: 1002-6630(2022)01-0260-09

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Food Science
Pages 260-268

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Cite this article:
ZHANG X, LI P, YU M, et al. Progress in Non-destructive Citrus Quality Detection Using Near-infrared Spectroscopy. Food Science, 2022, 43(1): 260-268. https://doi.org/10.7506/spkx1002-6630-20200904-041

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Received: 04 September 2020
Published: 15 January 2022
© Beijing Academy of Food Sciences 2022.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).