“Machine Learning Algorithms Enhance Detection of Tilia Honey Adulteration by Impedimetric Analysis”

https://pubmed.ncbi.nlm.nih.gov/38115897

Impedimetric data obtained through electrochemical impedance spectroscopy, in conjunction with machine learning algorithms, can effectively detect adulteration in tilia honey, outperforming traditional physicochemical methods.