LAPSE:2023.28100
Published Article

LAPSE:2023.28100
Identification of Transgenic Agricultural Products and Foods Using NIR Spectroscopy and Hyperspectral Imaging: A Review
April 11, 2023
Abstract
Spectroscopy and its imaging techniques are now popular methods for quantitative and qualitative analysis in fields such as agricultural products and foods, and combined with various chemometric methods. In fact, this is the application basis for spectroscopy and spectral imaging techniques in other fields such as genetics and transgenic monitoring. To date, there has been considerable research using spectroscopy and its imaging techniques (especially NIR spectroscopy, hyperspectral imaging) for the effective identification of agricultural products and foods. There have been few comprehensive reviews that cover the use of spectroscopic and imaging methods in the identification of genetically modified organisms. Therefore, this paper focuses on the application of NIR spectroscopy and its imaging techniques (including NIR spectroscopy and hyperspectral imaging techniques) in transgenic agricultural product and food detection and compares them with traditional detection methods. A large number of studies have shown that the application of NIR spectroscopy and imaging techniques in the detection of genetically modified foods is effective when compared to conventional approaches such as polymerase chain reaction and enzyme-linked immunosorbent assay.
Spectroscopy and its imaging techniques are now popular methods for quantitative and qualitative analysis in fields such as agricultural products and foods, and combined with various chemometric methods. In fact, this is the application basis for spectroscopy and spectral imaging techniques in other fields such as genetics and transgenic monitoring. To date, there has been considerable research using spectroscopy and its imaging techniques (especially NIR spectroscopy, hyperspectral imaging) for the effective identification of agricultural products and foods. There have been few comprehensive reviews that cover the use of spectroscopic and imaging methods in the identification of genetically modified organisms. Therefore, this paper focuses on the application of NIR spectroscopy and its imaging techniques (including NIR spectroscopy and hyperspectral imaging techniques) in transgenic agricultural product and food detection and compares them with traditional detection methods. A large number of studies have shown that the application of NIR spectroscopy and imaging techniques in the detection of genetically modified foods is effective when compared to conventional approaches such as polymerase chain reaction and enzyme-linked immunosorbent assay.
Record ID
Keywords
chemometric analysis, hyperspectral imaging, near-infrared spectroscopy, transgenic agricultural products and foods
Subject
Suggested Citation
Zhang J, Liu Z, Pu Y, Wang J, Tang B, Dai L, Yu S, Chen R. Identification of Transgenic Agricultural Products and Foods Using NIR Spectroscopy and Hyperspectral Imaging: A Review. (2023). LAPSE:2023.28100
Author Affiliations
Zhang J: Jiaxing Nanhu University, 572 Yuexiu South Road, Jiaxing 314001, China [ORCID]
Liu Z: School of Information Science and Engineering, Jiaxing University, 118 Jiahang Road, Jiaxing 314033, China
Pu Y: Jiaxing Nanhu University, 572 Yuexiu South Road, Jiaxing 314001, China
Wang J: Jiaxing Nanhu University, 572 Yuexiu South Road, Jiaxing 314001, China
Tang B: Jiaxing Nanhu University, 572 Yuexiu South Road, Jiaxing 314001, China
Dai L: School of Agricultural Engineering, Jiangsu University, 301 Xuefu Road, Zhenjiang 212013, China
Yu S: Seed Management Station of Jiuquan City, 1 Baoquan West Road, Jiuquan 735000, China
Chen R: Jiaxing Nanhu University, 572 Yuexiu South Road, Jiaxing 314001, China
Liu Z: School of Information Science and Engineering, Jiaxing University, 118 Jiahang Road, Jiaxing 314033, China
Pu Y: Jiaxing Nanhu University, 572 Yuexiu South Road, Jiaxing 314001, China
Wang J: Jiaxing Nanhu University, 572 Yuexiu South Road, Jiaxing 314001, China
Tang B: Jiaxing Nanhu University, 572 Yuexiu South Road, Jiaxing 314001, China
Dai L: School of Agricultural Engineering, Jiangsu University, 301 Xuefu Road, Zhenjiang 212013, China
Yu S: Seed Management Station of Jiuquan City, 1 Baoquan West Road, Jiuquan 735000, China
Chen R: Jiaxing Nanhu University, 572 Yuexiu South Road, Jiaxing 314001, China
Journal Name
Processes
Volume
11
Issue
3
First Page
651
Year
2023
Publication Date
2023-02-21
ISSN
2227-9717
Version Comments
Original Submission
Other Meta
PII: pr11030651, Publication Type: Review
Record Map
Published Article

LAPSE:2023.28100
This Record
External Link

https://doi.org/10.3390/pr11030651
Publisher Version
Download
Meta
Record Statistics
Record Views
185
Version History
[v1] (Original Submission)
Apr 11, 2023
Verified by curator on
Apr 11, 2023
This Version Number
v1
Citations
Most Recent
This Version
URL Here
https://psecommunity.org/LAPSE:2023.28100
Record Owner
Auto Uploader for LAPSE
Links to Related Works
(0.47 seconds) 0.05 + 0.05 + 0.19 + 0.06 + 0 + 0.05 + 0.02 + 0 + 0.02 + 0.02 + 0 + 0
