Abstract:
Coffee has been one of the most popularly consumed beverages and it is also among the most traded agricultural products in the world. The varietal species and the conditions in which the coffee is grown affect the taste and quality of coffee beans. Due to the high demand and competition in the market, coffee has been reported to have high incidence of fraud and adulteration. This emphasizes the need for developing an objective method to trace the origin of coffee beans and also to authenticate the quality of local Philippine coffee. This study aimed to utilize Random Forest models that can classify the geographical origin of Philippine coffee based on the multi-elemental fingerprints of the samples through portable X-ray fluorescence (p-XRF), Energy-dispersive X-ray fluorescence (ED-XRF) analysis, and Stable Isotope Ratio (SIR) analysis.
2024-05-08 13:30 ~ 2024-05-08 14:30
Prof. Emmanuel Garcia (De La Salle University)
Room 115, General Building III