Characterization of saffron from different origins by HS-GC-IMS and authenticity identification combined with deep learning

Characterization of saffron from different origins by HS-GC-IMS and authenticity identification combined with deep learning

With the rising demand of saffron, it is essential to standardize the confirmation of its origin and identify any adulteration to maintain a good quality led market product. However, a rapid and reliable strategy for identifying the adulteration saffron is still lacks. Herein, a combination of heads...

Full description

Saved in:
Bibliographic Details
Main Authors: Yingjie Lu, Chi Zhang, Kunmiao Feng, Jie Luan, Yuqi Cao, Khalid Rahman, Jianbo Ba, Ting Han, Juan Su
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Food Chemistry: X
Subjects:
Saffron
Volatile components
Convolutional neural networks
HS-GC-IMS
Origins
Online Access:http://www.sciencedirect.com/science/article/pii/S2590157524008691
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

http://www.sciencedirect.com/science/article/pii/S2590157524008691

Similar Items