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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| Format: | text |
| Language: | English |
| Published: |
Animo Repository
2023
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| 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 |