Development of a rapid and affordable machine learning-based screening technique for honey adulteration using UV-visible absorption spectr

Dettagli Bibliografici
Autore principale:	Sabacan, Ethan Josiah T. (Autore)
Altri autori:	Dumelod, Benelyn D. (adviser.)
Natura:	Tesi
Lingua:	inglese
Soggetti:	Chemometrics. Authentication. UV-Vis spectrometry. Philippine honey. Food adulteration. Machine learning. Honey adulteration. Discriminant model.
Accesso online:	Available for University of the Philippines Diliman via Digital Archives. Click here to access.