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SPME-GC-MS untargeted metabolomics approach to identify potential volatile compounds as markers for fraud detection in roasted and ground coffee

  • Published:2024-07 Issue: Volume:446 Page:138862
  • ISSN:0308-8146
  • Container-title:Food Chemistry
  • language:en
  • Short-container-title:Food Chemistry

Author:

Couto Cinthia de Carvalho,Chávez Davy William Hidalgo,Oliveira Edna Maria Morais,Freitas-Silva OtnielORCID,Casal Susana

Funder

Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro

Ministério da Ciência, Tecnologia e Ensino Superior

European Regional Development Fund

Fundação para a Ciência e a Tecnologia

Rede de Química e Tecnologia

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Laboratório Associado para a Química Verde

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Publisher

Elsevier BV

Reference47 articles.

1. Proximate composition of enhanced DGAT high oil, high protein soybeans;Al-Amery;Biocatalysis and Agricultural Biotechnology,2019

2. The wastes of coffee bean processing for utilization in food;Arya;Journal of Food Science and Technology,2022

3. Predicting indonesian coffee origins using untargeted SPME − GCMS - based volatile compounds fingerprinting and machine learning approaches;Aurum;European Food Research and Technology,2023

4. Potential beverage quality of three wild coffee species Coffea brevipes C congensis;Bertrand;Journal of the Science of Food and Agriculture,2022

5. Comparison of comprehensive two-dimensional gas chromatography-time-of-flight mass spectrometry and gas chromatography-mass spectrometry for the qualitative characterisation of roasted barley by solid-phase microextraction;Bianchi;Journal of Separation Science,2007

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Volatilomics as a tool to ascertain food adulteration, authenticity, and origin;Comprehensive Reviews in Food Science and Food Safety;2024-06-12
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