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

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

Honey, a high-value food product, is a common target of food fraud through adulteration with low-cost sweeteners and ingredients. Up to 87% of all local honey products sold in the Philippines are adulterated with as much as 100% substitution. Adulterated honey, typically sold at a low price, potenti...

Ful tanımlama

Detaylı Bibliyografya
Yazar: Sabacan, Ethan Josiah T. (Yazar)
Diğer Yazarlar: Dumelod, Benelyn D. (adviser.)
Materyal Türü: Tez
Dil:English
Konular:
Chemometrics.
Authentication.
UV-Vis spectrometry.
Philippine honey.
Food adulteration.
Machine learning.
Honey adulteration.
Discriminant model.
Online Erişim:Available for University of the Philippines Diliman via Digital Archives. Click here to access.