Literature DB >> 18303823

Comparison of the effectiveness of fatty acids, chlorogenic acids, and elements for the chemometric discrimination of coffee (Coffea arabica L.) varieties and growing origins.

Benoît Bertrand1, Diana Villarreal, Andréina Laffargue, Huver Posada, Philippe Lashermes, Stéphane Dussert.   

Abstract

The objective of this work was to compare the effectiveness of three chemical families, namely, chlorogenic acids, fatty acids, and elements, for the discrimination of Arabica varieties (traditional versus modern introgressed lines) and potential terroirs within a given coffee-growing area. The experimental design included three Colombian locations in full combination with five (one traditional and four introgressed) Arabica varieties and two field replications. Chlorogenic acids, fatty acids, and elements were analyzed in coffee bean samples by HPLC, GC, and ICP-AES, respectively. Principal component analysis and discriminant analysis were carried out to compare the three methods. Although elements provided an excellent classification of the three locations studied, this chemical class was useless for Arabica variety discrimination. Chlorogenic acids gave satisfactory results, but fatty acids clearly offered the best results for the determination of both varieties and environments, with very high percentages of correct classification (79 and 90%, respectively).

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Year:  2008        PMID: 18303823     DOI: 10.1021/jf073314f

Source DB:  PubMed          Journal:  J Agric Food Chem        ISSN: 0021-8561            Impact factor:   5.279


  7 in total

1.  Identification of Coffee Varieties Using Laser-Induced Breakdown Spectroscopy and Chemometrics.

Authors:  Chu Zhang; Tingting Shen; Fei Liu; Yong He
Journal:  Sensors (Basel)       Date:  2017-12-31       Impact factor: 3.576

2.  Effect of altitude of coffee plants on the composition of fatty acids of green coffee beans.

Authors:  Girmay Tsegay; Mesfin Redi-Abshiro; Bhagwan Singh Chandravanshi; Estifanos Ele; Ahmed M Mohammed; Hassen Mamo
Journal:  BMC Chem       Date:  2020-05-12

3.  Lipidomic and metabolomic profiles of Coffea canephora L. beans cultivated in Southwestern Nigeria.

Authors:  Chinyere F Anagbogu; Jiaqi Zhou; Festus O Olasupo; Mohammed Baba Nitsa; Diane M Beckles
Journal:  PLoS One       Date:  2021-02-17       Impact factor: 3.240

4.  Climate change and specialty coffee potential in Ethiopia.

Authors:  Abel Chemura; Bester Tawona Mudereri; Amsalu Woldie Yalew; Christoph Gornott
Journal:  Sci Rep       Date:  2021-04-14       Impact factor: 4.379

5.  Origin geographical classification of green coffee beans (Coffea a rabica L.) produced in different regions of the Minas Gerais state by FT-MIR and chemometric.

Authors:  Geissy de Azevedo Mendes; Marcone Augusto Leal de Oliveira; Mirian Pereira Rodarte; Virgílio de Carvalho Dos Anjos; Maria Jose Valenzuela Bell
Journal:  Curr Res Food Sci       Date:  2022-01-31

6.  Determination of the Geographical Origin of Coffee Beans Using Terahertz Spectroscopy Combined With Machine Learning Methods.

Authors:  Si Yang; Chenxi Li; Yang Mei; Wen Liu; Rong Liu; Wenliang Chen; Donghai Han; Kexin Xu
Journal:  Front Nutr       Date:  2021-06-17

7.  Can Elevated Air [CO2] Conditions Mitigate the Predicted Warming Impact on the Quality of Coffee Bean?

Authors:  José C Ramalho; Isabel P Pais; António E Leitão; Mauro Guerra; Fernando H Reboredo; Cristina M Máguas; Maria L Carvalho; Paula Scotti-Campos; Ana I Ribeiro-Barros; Fernando J C Lidon; Fábio M DaMatta
Journal:  Front Plant Sci       Date:  2018-03-06       Impact factor: 5.753

  7 in total

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