Improving the Accuracy of Saffron Adulteration Classification and Quantification through Data Fusion of Thin-Layer Chromatography Imaging and Raman Spectral Analysis
Agricultural crops of high value are frequently targeted by economic adulteration across the world. Saffron powder, being one of the most expensive spices and colorants on the market, is particularly vulnerable to adulteration with extraneous plant materials or synthetic colorants. However, the curr...
Main Authors: | Haochen Dai, Qixiang Gao, Jiakai Lu, Lili He |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-06-01
|
Series: | Foods |
Subjects: | |
Online Access: | https://www.mdpi.com/2304-8158/12/12/2322 |
Similar Items
-
Smart Framework for Quality Check and Determination of Adulterants in Saffron Using Sensors and AquaCrop
by: Kanwalpreet Kour, et al.
Published: (2023-03-01) -
Mirror-Stamping: A new TLC-SERS method for color authentication
by: Haochen Dai, et al.
Published: (2023-08-01) -
Genetic and Epigenetic Approaches for the Possible Detection of Adulteration and Auto-Adulteration in Saffron (Crocus sativus L.) Spice
by: Giovanna Soffritti, et al.
Published: (2016-03-01) -
A Quick and Efficient Non-Targeted Screening Test for Saffron Authentication: Application of Chemometrics to Gas-Chromatographic Data
by: Pietro Morozzi, et al.
Published: (2019-07-01) -
Detection and Classification of Saffron Adulterants by Vis-Nir Imaging, Chemical Analysis, and Soft Computing
by: Pejman Alighaleh, et al.
Published: (2023-05-01)