Coffee authentication via targeted metabolomics and machine learning: Unveiling origins and their discriminating biochemicals-Reference-Cited by-同舟云学术

Coffee authentication via targeted metabolomics and machine learning: Unveiling origins and their discriminating biochemicals

Published:2023-12 Issue: Volume:56 Page:103122
ISSN:2212-4292
Container-title:Food Bioscience
language:en
Short-container-title:Food Bioscience

Author:

Aurum Fawzan Sigma^ORCID,Zaman Muhammad Zukhrufuz^ORCID,Purwanto Edi,Praseptiangga Danar^ORCID,Nakano Kohei^ORCID

Publisher

Elsevier BV

Subject

Biochemistry,Food Science

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1. Mathematical modeling and comparative metabolomics analyses of interactions between Lactiplantibacillus plantarum and Morganella morganii;Food Research International;2024-11

2. Food authentication, current issues, analytical techniques, and future challenges: A comprehensive review;Comprehensive Reviews in Food Science and Food Safety;2024-05

3. Machine learning-assisted near-infrared spectroscopy for rapid discrimination of apricot kernels in ground almond;Food Control;2024-05

4. Food metabolomics for improvement of nutrition and well-being;BIO Web of Conferences;2024