Date of Publication
12-20-2022
Document Type
Bachelor's Thesis
Degree Name
Bachelor of Science in Chemistry
Subject Categories
Chemistry
College
College of Science
Department/Unit
Chemistry
Thesis Advisor
Emmanuel V. Garcia
Defense Panel Member
Joan Candice Ondevilla
Marissa G. Noel
Abstract/Summary
As the Philippines’ climatic and geographical profiles favors the cultivation of coffee, there is an increase in different fraudulence activities that concerns the geographical origin of the coffee beans. To be able to establish and maintain the authenticity of Philippine Coffee, multi-elemental analysis utilizing portable X-ray Fluorescence (pXRF) Analyzer was used as an analytical technique in treating 56 green coffee samples from the Philippine Quality Coffee Competition (PCQC) wherein 19 of the green coffee samples are Robusta variety and the remaining 37 of the samples are Arabica variety. The included regions in the PCQC samples are Region 1, Region 2, Region 6, Region 9, Region 10, Region 11, Region 12, Region 13, and Cordillera Administrative Region (CAR). The samples were oven dried, pulverized, and then pelletized before analyzing using the Bruker S1 Titan pXRF. In the analysis of PCQC green coffee beans, 26 elements were detected namely Al, Cr, Mn, P, Pd, K, Zn, S, Cu, Rb, Mg, Sr, Cl, Au, Ba, Bi, Ce, Hg, Th, Tl, and U. The samples from the pXRF analyses were treated using R and RStudio wherein Random Forest is generated to be able to classify the obtained data with respect to their varietal and regional classification. Based on the models that are generated by the software, the accuracy for the model of varietal classification is 98.81% while the model for the region classification gained 83.93% accuracy. Thus, it is evident that the multi-elemental analysis can be used as a classification tool in identifying and authenticating the geographical location of green coffee beans in the Philippines.
Abstract Format
html
Language
English
Format
Electronic
Physical Description
x, 64 leaves
Keywords
Coffee--Philippines; X-ray spectroscopy
Recommended Citation
Francisco, M. L., & Alora, A. A. (2022). Traceability of Philippine coffee quality competition green coffee beans by multi-elemental analysis using portable x-ray fluorescence analyzer. Retrieved from https://animorepository.dlsu.edu.ph/etdb_chem/15
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Embargo Period
12-20-2023
