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

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...

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Bibliographic Details
Main Author: Tan, Kevin Neil G.
Format: text
Language:English
Published: Animo Repository 2023
Subjects:
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
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Institution: De La Salle University
Language: English

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