Geographical origin differentiation of Philippine Robusta coffee (C. canephora) using X-ray fluorescence-based elemental profiling with chemometrics and machine learning-Reference-Cited by-同舟云学术

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Geographical origin differentiation of Philippine Robusta coffee (C. canephora) using X-ray fluorescence-based elemental profiling with chemometrics and machine learning

Published:2025-06 Issue: Volume:478 Page:143676
ISSN:0308-8146
Container-title:Food Chemistry
language:en
Short-container-title:Food Chemistry

Author:

Gines Krizzia Rae S.,Garcia Emmanuel V.,Sagum Rosario S.,Bautista VII Angel T.

Funder

Department of Science and Technology, Ministry of Science and Technology, India

Philippine Council for Industry, Energy, and Emerging Technology Research and Development

Republic of the Philippines Department of Science and Technology

Publisher

Elsevier BV

Reference58 articles.

1. Coffee origin determination based on analytical and nondestructive approaches –A systematic literature review;Aurum;Reviews in Agricultural Science,2022

2. Coffee authentication via targeted metabolomics and machine learning: Unveiling origins and their discriminating biochemicals;Aurum;Food Bioscience,2023

3. Independent components–discriminant analysis for discrimination of Brazilian Canephora coffees based on their inorganic fraction: A preliminary chemometric study;Baqueta;Microchemical Journal,2023

4. An overview on the Brazilian Coffea canephora scenario and the current chemometrics-based spectroscopic research;Baqueta;Food Research International,2024

5. Distinguishing the region-of-origin of roasted coffee beans with trace element ratios;Bitter;Food Chemistry,2020

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