- Title
- Rice freshness identification based on visible near-infrared spectroscopy and colorimetric sensor array
- Creator
- Lin, Hao; Jiang, Hao; Lin, Jinjin; Chen, Quansheng; Ali, Shujat; Teng, Shyh; Zuo, Min
- Date
- 2021
- Type
- Text; Journal article
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/187848
- Identifier
- vital:17151
- Identifier
-
https://doi.org/10.1007/s12161-021-01963-z
- Identifier
- ISSN:1936-9751 (ISSN)
- Abstract
- In this work, two methods, which were visible near-infrared spectroscopy (VNIRS) and visible near-infrared spectroscopy combined with colorimetric sensor array (VNIRS-CSA), were used to identify the volatile compound changes of rice samples stored for 0 to 6 months. Principal component analysis (PCA), interval partial least squares (iPLS), and synergy interval partial least squares (SiPLS) were used for qualitative classification. A prediction model was established by linear discriminant analysis (LDA), which was compared with the traditional VNIRS detection technology. The results revealed that the VNIRS-CSA got better performance than VNIRS and exhibited a good result based on iPLS/SiPLS-PCA/LDA models. Furthermore, spectral data from VNIRS-CSA were the best for LDA with a high prediction value of 0.925 after standard normal variate (SNV) processing and variable selection by SiPLS. The research demonstrated that VNIRS-CSA is a quick, accurate, and non-destructive method for monitoring the storage time of rice. The strategy also has the potential for volatile organic components analysis. © 2021, The Author(s), under exclusive licence to Springer Science+Business Media, LLC part of Springer Nature.
- Publisher
- Springer
- Relation
- Food Analytical Methods Vol. 14, no. 7 (2021), p. 1305-1314
- Rights
- All metadata describing materials held in, or linked to, the repository is freely available under a CC0 licence
- Rights
- Copyright © 2021, The Author(s)
- Subject
- 3006 Food sciences; Dye; Rice; Storage time; Synergy interval partial least square; VNIRS-colorimetric sensor array
- Reviewed
- Funder
- This work has been financially supported by the National Natural Science Foundation of China (31972154), the Jiangsu Agricultural independent innovation fund (SCX203321), the Project of Faculty of Agricultural Equipment of Jiangsu University (NZXB20200214), and the Traceability Technology and Application of Quality and Safety of Agricultural Products Open Project of National Engineering Laboratory (AQT-2019-YB8).
- Hits: 214
- Visitors: 213
- Downloads: 0
| Thumbnail | File | Description | Size | Format |
|---|