Literature DB >> 30599935

Coffea arabica and C. canephora discrimination in roasted and ground coffee from reference material candidates by real-time PCR.

C C Couto1, T F Santos2, A M G N Mamede3, T C Oliveira4, A M Souza4, O Freitas-Silva5, E M M Oliveira4.   

Abstract

To produce specific desirable coffee blends, Coffea arabica and C. canephora are mixed each other, in some cases to suit consumer preference, but in others to reduce production costs. In this scenario, the aim of this work was to evaluate standard candidate reference materials (RMc) for analysis of different blends of roasted and ground coffee. For this purpose, we analyzed different percentages of C. arabica and C. canephora (100:0; 50:50; 25:75; and 0:100, respectively). These RMc samples were developed in a previous study with green coffee beans submitted to medium roasting. In this work, coffee species differentiation (C. arabica and C. canephora) was analyzed by real-time PCR, using specific primers previously developed, called ARA primers. The RMc material with 100% C. canephora did not present amplification, in contrast with the samples containing C. arabica, which all presented amplification. These results indicate the specificity of ARA primers for C. arabica and that the detection system assay can be used as a promising molecular tool to identify and quantify percentages of C. arabica in different coffee blends.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Authenticity; Coffea arabica; Coffea canephora; Coffee; Real-time PCR; Reference material

Year:  2018        PMID: 30599935     DOI: 10.1016/j.foodres.2018.08.086

Source DB:  PubMed          Journal:  Food Res Int        ISSN: 0963-9969            Impact factor:   6.475


  3 in total

1.  Near-Infrared Spectroscopy Applied to the Detection of Multiple Adulterants in Roasted and Ground Arabica Coffee.

Authors:  Cinthia de Carvalho Couto; Otniel Freitas-Silva; Edna Maria Morais Oliveira; Clara Sousa; Susana Casal
Journal:  Foods       Date:  2021-12-28

Review 2.  A Critical Review on the Role of Food and Nutrition in the Energy Balance.

Authors:  Simona Bo; Maurizio Fadda; Debora Fedele; Marianna Pellegrini; Ezio Ghigo; Nicoletta Pellegrini
Journal:  Nutrients       Date:  2020-04-22       Impact factor: 5.717

3.  Characterization of Arabica and Robusta Coffees by Ion Mobility Sum Spectrum.

Authors:  Paweł Piotr Konieczka; María José Aliaño-González; Marta Ferreiro-González; Gerardo F Barbero; Miguel Palma
Journal:  Sensors (Basel)       Date:  2020-05-31       Impact factor: 3.576

  3 in total

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