SHS-GC-MS applied in Coffea arabica and Coffea canephora blend assessment

Author:

Vieira Lyrio Marcos Valério1ORCID,Pereira da Cunha Pedro Henrique1ORCID,Debona Danieli Grancieri1,Agnoletti Bárbara Zani1,Araújo Bruno Quirino1,Frinhani Roberta Quintino1,Filgueiras Paulo Roberto1ORCID,Pereira Lucas Louzada2,Ribeiro de Castro Eustáquio Vinicius1

Affiliation:

1. Federal University of Espírito Santo (UFES), Department of Chemistry, Campus Goiabeiras, Avenida Fernando Ferrari, 514, CEP 29075-910 Vitoria, Espírito Santo, Brazil

2. Federal Institute of Espírito Santo, Department of Food Science and Technology, Avenida Elizabeth Minete Perim, S/N, Bairro São Rafael, CEP 29375-000 Venda Nova do Imigrante, Espírito Santo, Brazil

Abstract

The present study proposes a new approach for blend assessment based on the volatile composition extracted and analyzed by SHS-GC-MS associated with multivariate and univariate methods for a qualitative (identification) and quantitative evaluation.

Funder

Fundação de Amparo à Pesquisa e Inovação do Espírito Santo

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Publisher

Royal Society of Chemistry (RSC)

Subject

General Engineering,General Chemical Engineering,Analytical Chemistry

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