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

doi:https://doi.org/10.1007/s11306-023-02051-5

Identification of potential quality markers in Indonesia’s Arabica specialty coffee using GC/MS-based metabolomics approach

Amalia, Fitri; Irifune, Tomoya; Takegami, Tetsuji et al.

Metabolomics, 2023, 19(11), 1-11

アクセス数:413件（2025-08-27 23:13 集計）

固定URL: https://hdl.handle.net/11094/93283

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タイトル	Identification of potential quality markers in Indonesia’s Arabica specialty coffee using GC/MS-based metabolomics approach
著者	著者名 Amalia, Fitri
	著者名 Irifune, Tomoya
	著者名 Takegami, Tetsuji
	著者名 Yusianto
	著者名 Sumirat, Ucu
	著者名 Putri, Sastia Prama
	NRID 1000040273594 1000040273594 ORCID 0000-0003-3069-5547 0000-0003-3069-5547 researchmap permalink fukusaki-eiichiro fukusaki-eiichiro Scopus Author ID 35473325000 35473325000 著者名 Fukusaki, Eiichiro
キーワード等	Arabica
	Coffee
	GC/MS
	Metabolomics
	OPLS
	Specialty
内容	The version of record of this article, first published in Metabolomics, is available online at Publisher’s website: https://doi.org/10.1007/s11306-023-02051-5
抄録	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.
出版者	Springer
収録物名	Metabolomics
巻(号)	19(11)
ページ	1-11
刊行年月	2023-10-25
言語	英語
ハンドルURL	https://hdl.handle.net/11094/93283
PISSN	15733882
eISSN	15733890
関連情報 (isIdenticalTo)	DOI (出版社版) https://doi.org/10.1007/s11306-023-02051-5
アクセス権	open access
権利情報	This article is licensed under a Creative Commons Attribution 4.0 International License.
出版タイプ	Version of Record
カテゴリ	学術雑誌論文 Journal Article

資源タイプ	学術雑誌論文
ローカル資源タイプ	学術雑誌論文
DCMI資源タイプ	text
DCTERMS.bibliographicCitation	Metabolomics. 2023, 19(11), p. 1-11
DC.title	Identification of potential quality markers in Indonesia’s Arabica specialty coffee using GC/MS-based metabolomics approach
DC.creator	Amalia, Fitri
	Irifune, Tomoya
	Takegami, Tetsuji
	Yusianto
	Sumirat, Ucu
	Putri, Sastia Prama
	Fukusaki, Eiichiro
DC.publisher	Springer
DC.language' scheme='DCTERMS.RFC1766	英語
DC.type' scheme='DCTERMS.DCMIType	text
DCTERMS.issued' scheme='DCTERMS.W3CDTF	2023-10-25
DC.identifier	https://doi.org/10.1007/s11306-023-02051-5
DC.subject	Arabica
	Coffee
	GC/MS
	Metabolomics
	OPLS
	Specialty
DC.description	The version of record of this article, first published in Metabolomics, is available online at Publisher’s website: https://doi.org/10.1007/s11306-023-02051-5
DCTERMS.abstract	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.
DC.rights	This article is licensed under a Creative Commons Attribution 4.0 International License.
DC.format	93283
citation_title	Identification of potential quality markers in Indonesia’s Arabica specialty coffee using GC/MS-based metabolomics approach
citation_author	Amalia, Fitri
	Irifune, Tomoya
	Takegami, Tetsuji
	Yusianto
	Sumirat, Ucu
	Putri, Sastia Prama
	Fukusaki, Eiichiro
citation_publisher	Springer
citation_language	英語
citation_date	2023-10-25
citation_journal_title	Metabolomics
citation_volume	19
citation_issue	11
citation_firstpage	1
citation_lastpage	11
citation_doi	https://doi.org/10.1007/s11306-023-02051-5
citation_public_url	https://hdl.handle.net/11094/93283

Identification of potential quality markers in Indonesia’s Arabica specialty coffee using GC/MS-based metabolomics approach

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