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Article

Freshness Identification of Oysters Based on Colorimetric Sensor Array Combined with Image Processing and Visible Near-Infrared Spectroscopy

by 1,2, 2, 2, 1 and 2,*
1
Nantong Food and Drug Supervision and Inspection Center, Nantong 226400, China
2
School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China
*
Author to whom correspondence should be addressed.
Sensors 2022, 22(2), 683; https://doi.org/10.3390/s22020683
Received: 25 November 2021 / Revised: 12 January 2022 / Accepted: 14 January 2022 / Published: 17 January 2022
(This article belongs to the Section Smart Agriculture)
Volatile organic compounds (VOCs) could be used as an indicator of the freshness of oysters. However, traditional characterization methods for VOCs have some disadvantages, such as having a high instrument cost, cumbersome pretreatment, and being time consuming. In this work, a fast and non-destructive method based on colorimetric sensor array (CSA) and visible near-infrared spectroscopy (VNIRS) was established to identify the freshness of oysters. Firstly, four color-sensitive dyes, which were sensitive to VOCs of oysters, were selected, and they were printed on a silica gel plate to obtain a CSA. Secondly, a charge coupled device (CCD) camera was used to obtain the “before” and “after” image of CSA. Thirdly, VNIS system obtained the reflected spectrum data of the CSA, which can not only obtain the color change information before and after the reaction of the CSA with the VOCs of oysters, but also reflect the changes in the internal structure of color-sensitive materials after the reaction of oysters’ VOCs. The pattern recognition results of VNIS data showed that the fresh oysters and stale oysters could be separated directly from the principal component analysis (PCA) score plot, and linear discriminant analysis (LDA) model based on variables selection methods could obtain a good performance for the freshness detection of oysters, and the recognition rate of the calibration set was 100%, while the recognition rate of the prediction set was 97.22%. The result demonstrated that the CSA, combined with VNIRS, showed great potential for VOCS measurement, and this research result provided a fast and nondestructive identification method for the freshness identification of oysters. View Full-Text
Keywords: oysters; storage time; colorimetric sensor array; visible near-infrared spectroscopy; variable screening oysters; storage time; colorimetric sensor array; visible near-infrared spectroscopy; variable screening
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MDPI and ACS Style

Guan, B.; Kang, W.; Jiang, H.; Zhou, M.; Lin, H. Freshness Identification of Oysters Based on Colorimetric Sensor Array Combined with Image Processing and Visible Near-Infrared Spectroscopy. Sensors 2022, 22, 683. https://doi.org/10.3390/s22020683

AMA Style

Guan B, Kang W, Jiang H, Zhou M, Lin H. Freshness Identification of Oysters Based on Colorimetric Sensor Array Combined with Image Processing and Visible Near-Infrared Spectroscopy. Sensors. 2022; 22(2):683. https://doi.org/10.3390/s22020683

Chicago/Turabian Style

Guan, Binbin, Wencui Kang, Hao Jiang, Mi Zhou, and Hao Lin. 2022. "Freshness Identification of Oysters Based on Colorimetric Sensor Array Combined with Image Processing and Visible Near-Infrared Spectroscopy" Sensors 22, no. 2: 683. https://doi.org/10.3390/s22020683

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