Machine-learning assisted modelling of multiple elements for authenticating edible animal blood food
Elemental fingerprint coupled with machine learning here 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 prepared from five species of animals, namely du