Species and geographical origin authentication of Philippine coffee using XRF-based multi-element and stable isotope ratio profiling combined with chemometric tools and machine learning algorithm

• Main Author: Tan, Kevin Neil G.
• Format: text
• Language: English
• Published: Animo Repository 2023
• Subjects: Coffee > Philippines; Chemistry
• Online Access: https://animorepository.dlsu.edu.ph/etdm_chem/17; https://animorepository.dlsu.edu.ph/context/etdm_chem/article/1017/viewcontent/2023_Tan_Species_and_Geographical_Origin_Authentication_of_Philippine_Coff_Full_text.pdf
• Institution: De La Salle University

Multi-element and stable isotope ratio (SIR) profiling with chemometrics and machine learning techniques can provide a means to differentiate roasted coffee beans based on their species (Arabica and Robusta) and geographical origin. This approach can help mitigate food fraud and secure the geographi...