Literature DB >> 33241278

Review of Analytical Methods to Detect Adulteration in Coffee.

Xiuju Wang1, Loong-Tak Lim1, Yucheng Fu2.   

Abstract

As one of the most consumed beverages in the world, coffee plays many major socioeconomical roles in various regions. Because of the wide coffee varieties available in the marketplaces, and the substantial price gaps between them (e.g., Arabica versus Robusta; speciality versus commodity coffees), coffees are susceptible to intentional or accidental adulteration. Therefore, there is a sustaining interest from the producers and regulatory agents to develop protocols to detect fraudulent practices. In general, strategies to authenticate coffee are based on targeted chemical profile analyses to determine specific markers of adulterants, or nontargeted analyses based on the "fingerprinting" concept. This paper reviews the literature related to chemometric approaches to discriminate coffees based on nuclear magnetic resonance spectroscopy, chromatography, infrared/Raman spectroscopy, and array sensors/indicators. In terms of chemical profiling, the paper focuses on the detection of diterpenes, homostachydrine, phenolic acids, carbohydrates, fatty acids, triacylglycerols, and deoxyribonucleic acid. Finally, the prospects of coffee authentication are discussed. © AOAC INTERNATIONAL 2020. All rights reserved. For permissions, please email: journals.permissions@oup.com.

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Year:  2020        PMID: 33241278     DOI: 10.1093/jaocint/qsz019

Source DB:  PubMed          Journal:  J AOAC Int        ISSN: 1060-3271            Impact factor:   1.913


  3 in total

1.  The use of multispectral imaging for the discrimination of Arabica and Robusta coffee beans.

Authors:  Alina Mihailova; Beatrix Liebisch; Marivil D Islam; Jens M Carstensen; Andrew Cannavan; Simon D Kelly
Journal:  Food Chem X       Date:  2022-05-06

2.  Front-face synchronous fluorescence spectroscopy: a rapid and non-destructive authentication method for Arabica coffee adulterated with maize and soybean flours.

Authors:  Jing-Ya Xie; Jin Tan
Journal:  J Verbrauch Lebensm       Date:  2022-08-17

Review 3.  Metabolomics-Based Approach for Coffee Beverage Improvement in the Context of Processing, Brewing Methods, and Quality Attributes.

Authors:  Mohamed A Farag; Ahmed Zayed; Ibrahim E Sallam; Amr Abdelwareth; Ludger A Wessjohann
Journal:  Foods       Date:  2022-03-18
  3 in total

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