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Identification of potential quality markers in Indonesia’s Arabica specialty coffee using GC/MS-based metabolomics approach
INTRODUCTION: The cupping test is a widely used method for quality assessment of Arabica coffee. However, the cupping test is limited by the low number of certified panelists and the low throughput. Therefore, an analytical-based quality assessment may be a promising tool to complement the cupping t...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10600306/ https://www.ncbi.nlm.nih.gov/pubmed/37880543 http://dx.doi.org/10.1007/s11306-023-02051-5 |
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author | Amalia, Fitri Irifune, Tomoya Takegami, Tetsuji Yusianto Sumirat, Ucu Putri, Sastia Prama Fukusaki, Eiichiro |
author_facet | Amalia, Fitri Irifune, Tomoya Takegami, Tetsuji Yusianto Sumirat, Ucu Putri, Sastia Prama Fukusaki, Eiichiro |
author_sort | Amalia, Fitri |
collection | PubMed |
description | INTRODUCTION: The cupping test is a widely used method for quality assessment of Arabica coffee. However, the cupping test is limited by the low number of certified panelists and the low throughput. Therefore, an analytical-based quality assessment may be a promising tool to complement the cupping test. A present, there is no report investigating quality marker candidates, focusing only on “specialty” grade Arabica coffee from Indonesia. OBJECTIVE: This study identified the potential quality marker(s) in Arabica Specialty coffee at different stages (green beans, roasted beans, and brewed coffee. METHODS: The metabolite profiles of ten different Arabica specialty-grade coffees were analyzed with different cup scores using gas chromatography–mass spectrometry (GC/MS). From the ten samples, green coffee beans, roasted coffee beans, and brewed coffee were selected. In addition, an orthogonal projection to latent structure (OPLS) regression analysis was conducted to obtain a potential quality marker based on the variable importance in projection (VIP). The potential quality marker(s) were validated by GC/MS metabolome profiling and OPLS analysis of different sets of samples consisting of 35 Arabica specialty-grade coffee samples. RESULTS: In Arabica coffee samples, the OPLS model of the three stages showed galactinol to have a high VIP score. Galactinol showed a consistent positive correlation with cup scores at all stages of coffee production (green beans, roasted beans, and brewed coffee). The correlation suggests galactinol is a potential quality marker after further validation using different samples. CONCLUSION: GC/MS combined with OPLS regression analysis suggested galactinol as a quality marker and provide an early screening method for Arabica coffee quality that complements the cupping test performed by certified panelists. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11306-023-02051-5. |
format | Online Article Text |
id | pubmed-10600306 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-106003062023-10-27 Identification of potential quality markers in Indonesia’s Arabica specialty coffee using GC/MS-based metabolomics approach Amalia, Fitri Irifune, Tomoya Takegami, Tetsuji Yusianto Sumirat, Ucu Putri, Sastia Prama Fukusaki, Eiichiro Metabolomics Original Article INTRODUCTION: The cupping test is a widely used method for quality assessment of Arabica coffee. However, the cupping test is limited by the low number of certified panelists and the low throughput. Therefore, an analytical-based quality assessment may be a promising tool to complement the cupping test. A present, there is no report investigating quality marker candidates, focusing only on “specialty” grade Arabica coffee from Indonesia. OBJECTIVE: This study identified the potential quality marker(s) in Arabica Specialty coffee at different stages (green beans, roasted beans, and brewed coffee. METHODS: The metabolite profiles of ten different Arabica specialty-grade coffees were analyzed with different cup scores using gas chromatography–mass spectrometry (GC/MS). From the ten samples, green coffee beans, roasted coffee beans, and brewed coffee were selected. In addition, an orthogonal projection to latent structure (OPLS) regression analysis was conducted to obtain a potential quality marker based on the variable importance in projection (VIP). The potential quality marker(s) were validated by GC/MS metabolome profiling and OPLS analysis of different sets of samples consisting of 35 Arabica specialty-grade coffee samples. RESULTS: In Arabica coffee samples, the OPLS model of the three stages showed galactinol to have a high VIP score. Galactinol showed a consistent positive correlation with cup scores at all stages of coffee production (green beans, roasted beans, and brewed coffee). The correlation suggests galactinol is a potential quality marker after further validation using different samples. CONCLUSION: GC/MS combined with OPLS regression analysis suggested galactinol as a quality marker and provide an early screening method for Arabica coffee quality that complements the cupping test performed by certified panelists. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11306-023-02051-5. Springer US 2023-10-25 2023 /pmc/articles/PMC10600306/ /pubmed/37880543 http://dx.doi.org/10.1007/s11306-023-02051-5 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Article Amalia, Fitri Irifune, Tomoya Takegami, Tetsuji Yusianto Sumirat, Ucu Putri, Sastia Prama Fukusaki, Eiichiro Identification of potential quality markers in Indonesia’s Arabica specialty coffee using GC/MS-based metabolomics approach |
title | Identification of potential quality markers in Indonesia’s Arabica specialty coffee using GC/MS-based metabolomics approach |
title_full | Identification of potential quality markers in Indonesia’s Arabica specialty coffee using GC/MS-based metabolomics approach |
title_fullStr | Identification of potential quality markers in Indonesia’s Arabica specialty coffee using GC/MS-based metabolomics approach |
title_full_unstemmed | Identification of potential quality markers in Indonesia’s Arabica specialty coffee using GC/MS-based metabolomics approach |
title_short | Identification of potential quality markers in Indonesia’s Arabica specialty coffee using GC/MS-based metabolomics approach |
title_sort | identification of potential quality markers in indonesia’s arabica specialty coffee using gc/ms-based metabolomics approach |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10600306/ https://www.ncbi.nlm.nih.gov/pubmed/37880543 http://dx.doi.org/10.1007/s11306-023-02051-5 |
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