Back to Search
Start Over
A rapid analysis method of safflower (Carthamus tinctorius L.) using combination of computer vision and near-infrared.
- Source :
-
Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy [Spectrochim Acta A Mol Biomol Spectrosc] 2020 Aug 05; Vol. 236, pp. 118360. Date of Electronic Publication: 2020 Apr 15. - Publication Year :
- 2020
-
Abstract
- The quality of safflower (Carthamus tinctorius L.) in the market is uneven due to the problems of dyeing and adulteration of safflower, and there is no perfect standard for the classification of quality grade of safflower at present. In this study, computer vision (CV) and near-infrared (NIR) were combined to realize the rapid and nondestructive analysis of safflower. First, the partial least squares discrimination analysis (PLS-DA) model was used to qualitatively identify the dyed safflower from 150 samples. Then the partial least squares (PLS) model was used for quantitative analysis of the hydroxy safflower yellow pigment A (HSYA) and water extract of undyed safflower. Herein, the discrimination rate of PLS-DA model reached 100%, and the residual predictive deviation (RPD) values of the PLS models for HSYA and water extract were 2.5046 and 5.6195, respectively. It indicated that the rapid analysis method combining CV and NIR was reliable, and its results can provide important reference for the formulation of safflower quality classification standards in the market.<br />Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.<br /> (Copyright © 2020 Elsevier B.V. All rights reserved.)
- Subjects :
- Chalcone analogs & derivatives
Chalcone analysis
China
Food Analysis methods
Food Analysis statistics & numerical data
Food Quality
Image Processing, Computer-Assisted methods
Least-Squares Analysis
Plant Extracts analysis
Quinones analysis
Spectroscopy, Near-Infrared statistics & numerical data
Carthamus tinctorius chemistry
Spectroscopy, Near-Infrared methods
Subjects
Details
- Language :
- English
- ISSN :
- 1873-3557
- Volume :
- 236
- Database :
- MEDLINE
- Journal :
- Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
- Publication Type :
- Academic Journal
- Accession number :
- 32330825
- Full Text :
- https://doi.org/10.1016/j.saa.2020.118360