Machine-learning assisted modelling of multiple elements for authenticating edible animal blood food

Machine-learning assisted modelling of multiple elements for authenticating edible animal blood food

Elemental fingerprint coupled with machine learning modelling was proposed for species authentication of the edible animal blood gel (EABG). A total of 25 elements were determined by inductively coupled plasma mass spectrometry (ICP-MS) and atomic absorption spectroscopy (AAS) in 150 EABG samples pr...

Full description

Bibliographic Details
Main Authors: Fangkai Han, Joshua H. Aheto, Marwan M.A. Rashed, Xingtao Zhang
Format: Article
Language:English
Published: Elsevier 2022-06-01
Series:Food Chemistry: X
Subjects:
Animal blood food
Multi-element analysis
ICP-MS
Machine learning
Blood tofu
Online Access:http://www.sciencedirect.com/science/article/pii/S2590157522000785

Internet

http://www.sciencedirect.com/science/article/pii/S2590157522000785

Similar Items