Literature DB >> 31535287

GC/MS based metabolite profiling of Indonesian specialty coffee from different species and geographical origin.

Sastia Prama Putri1, Tomoya Irifune2, Eiichiro Fukusaki2.   

Abstract

INTRODUCTION: The consumption of high quality coffee such as specialty Arabica and fine Robusta coffee is increasing steadily in recent years. Development of single origin coffee is an important strategy to maintain coffee quality, grade and high cupping score. Indonesia is a top exporting country for Arabica coffee with high variety of specialty coffees from different origins. Despite its long standing reputation in global coffee market, very few is known about the variability among Indonesian specialty coffees.
OBJECTIVES: This study aims to observe metabolite variability among Indonesian coffees from different species and geographical origins by means of non-targeted GC/MS metabolite profiling.
METHODS: Sixty-four compounds were tentatively identified from 16 green and roasted coffee beans from different species and cultivation areas in Indonesia and were subjected to principal component analysis (PCA). Ten Specialty Arabica coffee and five Fine Robusta representing all important high quality coffees of Indonesia were also analyzed independently to further classify Indonesian coffee according to their origin.
RESULTS: PCA results of 16 green and roasted coffee beans of different species and cultivation areas showed that samples were separated along PC1 based on different roasting condition (green and roasted) with 52.9% variance and were separated along PC2 based on different species with 19.3% variance. The result from this study showed the clustering of samples based on three major cultivation areas in Indonesia (western, central, eastern part). Metabolites showing higher concentration in Sulawesi, Papua, Flores and Sumatra samples were glycerol, glucuno-1,5-lactone, gluconic acid and sorbitol. A clear distinction in galactitol and galactinol concentration between all samples from eastern part of Indonesia and western and middle part of Indonesia was also observed.
CONCLUSIONS: Our results showed that each region (western, central and eastern part of Indonesia) has signature compounds that may serve as discriminant markers for coffee authentication. This is the first report on the classification of Indonesian specialty coffee based on their metabolic profiles and can act as a basis for marker identification for routine procedures in industry.

Entities:  

Keywords:  Gas chromatography–mass spectrometry; Geographical origin; Metabolomics; Specialty coffee

Mesh:

Substances:

Year:  2019        PMID: 31535287     DOI: 10.1007/s11306-019-1591-5

Source DB:  PubMed          Journal:  Metabolomics        ISSN: 1573-3882            Impact factor:   4.290


  24 in total

Review 1.  Metabolomics--the link between genotypes and phenotypes.

Authors:  Oliver Fiehn
Journal:  Plant Mol Biol       Date:  2002-01       Impact factor: 4.076

2.  Origin assessment of green coffee (Coffea arabica) by multi-element stable isotope analysis of caffeine.

Authors:  Bernhard Weckerle; Elke Richling; Sandra Heinrich; Peter Schreier
Journal:  Anal Bioanal Chem       Date:  2002-10-18       Impact factor: 4.142

Review 3.  Formation of flavour compounds in the Maillard reaction.

Authors:  M A J S van Boekel
Journal:  Biotechnol Adv       Date:  2006-01-04       Impact factor: 14.227

4.  Discrimination between arabica and robusta green coffee varieties according to their chemical composition.

Authors:  M J Martín; F Pablos; A G González
Journal:  Talanta       Date:  1998-08       Impact factor: 6.057

5.  (13)C NMR-based metabolomics for the classification of green coffee beans according to variety and origin.

Authors:  Feifei Wei; Kazuo Furihata; Masanori Koda; Fangyu Hu; Rieko Kato; Takuya Miyakawa; Masaru Tanokura
Journal:  J Agric Food Chem       Date:  2012-10-02       Impact factor: 5.279

Review 6.  Current metabolomics: technological advances.

Authors:  Sastia P Putri; Shinya Yamamoto; Hiroshi Tsugawa; Eiichiro Fukusaki
Journal:  J Biosci Bioeng       Date:  2013-03-07       Impact factor: 2.894

7.  Metabolomics fingerprint of coffee species determined by untargeted-profiling study using LC-HRMS.

Authors:  Florence Souard; Cédric Delporte; Piet Stoffelen; Etienne A Thévenot; Nausicaa Noret; Bastien Dauvergne; Jean-Michel Kauffmann; Pierre Van Antwerpen; Caroline Stévigny
Journal:  Food Chem       Date:  2017-10-12       Impact factor: 7.514

8.  Selection of discriminant markers for authentication of Asian palm civet coffee (Kopi Luwak): a metabolomics approach.

Authors:  Udi Jumhawan; Sastia Prama Putri; Erly Marwani; Takeshi Bamba; Eiichiro Fukusaki
Journal:  J Agric Food Chem       Date:  2013-08-12       Impact factor: 5.279

9.  GC/MS based metabolomics: development of a data mining system for metabolite identification by using soft independent modeling of class analogy (SIMCA).

Authors:  Hiroshi Tsugawa; Yuki Tsujimoto; Masanori Arita; Takeshi Bamba; Eiichiro Fukusaki
Journal:  BMC Bioinformatics       Date:  2011-05-04       Impact factor: 3.169

10.  New biomarkers of coffee consumption identified by the non-targeted metabolomic profiling of cohort study subjects.

Authors:  Joseph A Rothwell; Yoann Fillâtre; Jean-François Martin; Bernard Lyan; Estelle Pujos-Guillot; Leopold Fezeu; Serge Hercberg; Blandine Comte; Pilar Galan; Mathilde Touvier; Claudine Manach
Journal:  PLoS One       Date:  2014-04-08       Impact factor: 3.240

View more
  6 in total

1.  GC/MS-based metabolic profiling for the evaluation of solid state fermentation to improve quality of Arabica coffee beans.

Authors:  Pingkan Aditiawati; Dea Indriani Astuti; Jayen Aris Kriswantoro; Shafira Mutia Khanza; Tomoya Irifune; Fitri Amalia; Eiichiro Fukusaki; Sastia Prama Putri
Journal:  Metabolomics       Date:  2020-04-23       Impact factor: 4.290

2.  Metabolite Profiling and Chemometric Study for the Discrimination Analyses of Geographic Origin of Perilla (Perilla frutescens) and Sesame (Sesamum indicum) Seeds.

Authors:  Tae Jin Kim; Jeong Gon Park; Hyun Young Kim; Sun-Hwa Ha; Bumkyu Lee; Sang Un Park; Woo Duck Seo; Jae Kwang Kim
Journal:  Foods       Date:  2020-07-24

3.  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

4.  Discrimination of Adzuki Bean (Vigna angularis) Geographical Origin by Targeted and Non-Targeted Metabolite Profiling with Gas Chromatography Time-of-Flight Mass Spectrometry.

Authors:  Tae Jin Kim; Jeong Gon Park; Soon Kil Ahn; Kil Won Kim; Jaehyuk Choi; Hyun Young Kim; Sun-Hwa Ha; Woo Duck Seo; Jae Kwang Kim
Journal:  Metabolites       Date:  2020-03-17

5.  Effects of Soaking Tempe in Vinegar on Metabolome and Sensory Profiles.

Authors:  Hadi Akbar Dahlan; Yosuke Nambu; Sastia Prama Putri; Eiichiro Fukusaki
Journal:  Metabolites       Date:  2022-01-01

Review 6.  Metabolomics-Based Approach for Coffee Beverage Improvement in the Context of Processing, Brewing Methods, and Quality Attributes.

Authors:  Mohamed A Farag; Ahmed Zayed; Ibrahim E Sallam; Amr Abdelwareth; Ludger A Wessjohann
Journal:  Foods       Date:  2022-03-18
  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.