Regional and barangay traceability of Philippine green coffee beans through multi-elemental analysis using portable x-ray fluorescence and energy dispersive x-ray fluorescence

Along with the rise of cafe culture, the popularity of coffee has been increasing over the years. However, one consequence of such popularity is the increased occurrence of food fraud or the purposeful manipulation of food products. The study aimed to determine a method that is both accurate and eff...

Full description

Saved in:
Bibliographic Details
Main Authors: Menguito, Kyla B., Timoteo, Hannah Franchesca D.
Format: text
Language:English
Published: Animo Repository 2024
Subjects:
Online Access:https://animorepository.dlsu.edu.ph/etdb_chem/49
https://animorepository.dlsu.edu.ph/context/etdb_chem/article/1057/viewcontent/2024_Menguito_Timoteo_Regional_and_Barangay_Traceability_of_Philippine_Green_Coffee_Bea.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: De La Salle University
Language: English
id oai:animorepository.dlsu.edu.ph:etdb_chem-1057
record_format eprints
spelling oai:animorepository.dlsu.edu.ph:etdb_chem-10572024-09-13T00:54:48Z Regional and barangay traceability of Philippine green coffee beans through multi-elemental analysis using portable x-ray fluorescence and energy dispersive x-ray fluorescence Menguito, Kyla B. Timoteo, Hannah Franchesca D. Along with the rise of cafe culture, the popularity of coffee has been increasing over the years. However, one consequence of such popularity is the increased occurrence of food fraud or the purposeful manipulation of food products. The study aimed to determine a method that is both accurate and efficient for tracing the regional and barangay origin of Philippine arabica green coffee beans using multi-elemental analysis by portable X-ray fluorescence (pXRF) and energy-dispersive X-ray fluorescence (ED-XRF). The data collected was analyzed using one-way ANOVA, Tukey’s HSD, and Random Forest models. The study analyzed 29 samples of C. arabica green coffee beans sourced from five different regions across the Philippines: Region II, Region X, Region XI, CAR, and BARMM. The study successfully developed models using both ED-XRF and pXRF data, achieving accurate classification of samples into their respective regions. It was found that manganese and potassium were significant elements for regional classification, while manganese alone was the most significant factor for barangay classification The constructed Random Forest models had 100% accuracy for both regional and barangay classifications. The study was also able to demonstrate the potential of multi-elemental analysis, which when accompanied with machine learning is a valuable tool for the traceability and authentication of Philippine arabica green coffee beans. 2024-08-13T07:00:00Z text application/pdf https://animorepository.dlsu.edu.ph/etdb_chem/49 https://animorepository.dlsu.edu.ph/context/etdb_chem/article/1057/viewcontent/2024_Menguito_Timoteo_Regional_and_Barangay_Traceability_of_Philippine_Green_Coffee_Bea.pdf Chemistry Bachelor's Theses English Animo Repository Coffee--Philippines X-ray spectroscopy Machine learning Chemistry
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
Philippines
content_provider De La Salle University Library
collection DLSU Institutional Repository
language English
topic Coffee--Philippines
X-ray spectroscopy
Machine learning
Chemistry
spellingShingle Coffee--Philippines
X-ray spectroscopy
Machine learning
Chemistry
Menguito, Kyla B.
Timoteo, Hannah Franchesca D.
Regional and barangay traceability of Philippine green coffee beans through multi-elemental analysis using portable x-ray fluorescence and energy dispersive x-ray fluorescence
description Along with the rise of cafe culture, the popularity of coffee has been increasing over the years. However, one consequence of such popularity is the increased occurrence of food fraud or the purposeful manipulation of food products. The study aimed to determine a method that is both accurate and efficient for tracing the regional and barangay origin of Philippine arabica green coffee beans using multi-elemental analysis by portable X-ray fluorescence (pXRF) and energy-dispersive X-ray fluorescence (ED-XRF). The data collected was analyzed using one-way ANOVA, Tukey’s HSD, and Random Forest models. The study analyzed 29 samples of C. arabica green coffee beans sourced from five different regions across the Philippines: Region II, Region X, Region XI, CAR, and BARMM. The study successfully developed models using both ED-XRF and pXRF data, achieving accurate classification of samples into their respective regions. It was found that manganese and potassium were significant elements for regional classification, while manganese alone was the most significant factor for barangay classification The constructed Random Forest models had 100% accuracy for both regional and barangay classifications. The study was also able to demonstrate the potential of multi-elemental analysis, which when accompanied with machine learning is a valuable tool for the traceability and authentication of Philippine arabica green coffee beans.
format text
author Menguito, Kyla B.
Timoteo, Hannah Franchesca D.
author_facet Menguito, Kyla B.
Timoteo, Hannah Franchesca D.
author_sort Menguito, Kyla B.
title Regional and barangay traceability of Philippine green coffee beans through multi-elemental analysis using portable x-ray fluorescence and energy dispersive x-ray fluorescence
title_short Regional and barangay traceability of Philippine green coffee beans through multi-elemental analysis using portable x-ray fluorescence and energy dispersive x-ray fluorescence
title_full Regional and barangay traceability of Philippine green coffee beans through multi-elemental analysis using portable x-ray fluorescence and energy dispersive x-ray fluorescence
title_fullStr Regional and barangay traceability of Philippine green coffee beans through multi-elemental analysis using portable x-ray fluorescence and energy dispersive x-ray fluorescence
title_full_unstemmed Regional and barangay traceability of Philippine green coffee beans through multi-elemental analysis using portable x-ray fluorescence and energy dispersive x-ray fluorescence
title_sort regional and barangay traceability of philippine green coffee beans through multi-elemental analysis using portable x-ray fluorescence and energy dispersive x-ray fluorescence
publisher Animo Repository
publishDate 2024
url https://animorepository.dlsu.edu.ph/etdb_chem/49
https://animorepository.dlsu.edu.ph/context/etdb_chem/article/1057/viewcontent/2024_Menguito_Timoteo_Regional_and_Barangay_Traceability_of_Philippine_Green_Coffee_Bea.pdf
_version_ 1811611548270985216