Application of gas chromatography/flame ionization detector-based metabolite fingerprinting for authentication of Asian palm civet coffee (Kopi Luwak)

Jumhawan, Udi; Putri, Sastia Prama; Yusianto,; Bamba, Takeshi; Fukusaki, Eiichiro

doi:10.1016/j.jbiosc.2015.03.005

Cited by 42 publications

(28 citation statements)

References 36 publications

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“…A total of 340 untargeted metabolites were detected—of which, 163 (Table S1) were identified across all three varieties of C. canephora , ‘Niaouli’, ‘Kouilou’ and ‘Java Robusta’, used in the study. A similar number of metabolites (182) was detected in Asian palm civet coffee using GC-MS [21]. The metabolites identified in our study were grouped into eight biochemical classes: amines, amino acids, sugars, sugar derivatives, organic acids, fatty acids, phenolic acids/alkaloids and inorganic compound (Table S1).…”

Section: Resultssupporting

confidence: 66%

“…The major compounds identified in the Nigerian varieties were compared to those in other studies. Caffeine, chlorogenic acids, quinic acid, citric acid and sucrose were the most abundant metabolites identified in these varieties (Figure 1), which is similar to the predominant compounds identified in C. arabica derived from Asian palm civet [21]. Stearic acid, palmitic acid, linoleic acid and pelargonic acid were the major fatty acids in the three Nigerian genotypes (Table S1).…”

Section: Resultssupporting

confidence: 54%

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Gas Chromatography-Mass Spectrometry and Single Nucleotide Polymorphism-Genotype-By-Sequencing Analyses Reveal the Bean Chemical Profiles and Relatedness of Coffea canephora Genotypes in Nigeria

Anagbogu

Ilori

Bhattacharjee

et al. 2019

Plants

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The flavor and health benefits of coffee (Coffea spp.) are derived from the metabolites that accumulate in the mature bean. However, the chemical profiles of many C. canephora genotypes remain unknown, even as the production of these coffee types increases globally. Therefore, we used Gas Chromatography-Mass Spectrophotometry to determine the chemical composition of C. canephora genotypes in Nigeria—those conserved in germplasm repositories and those cultivated by farmers. GC-MS revealed 340 metabolites in the ripe beans, with 66 metabolites differing (p-value < 0.05) across the represented group. Univariate and multivariate approaches showed that the ‘Niaouli’ genotypes could be clearly distinguished from ‘Kouillou’ and ‘Java’ genotypes, while there was almost no distinction between ‘Kouillou’ and ‘Java,’. Varietal genotyping based on bean metabolite profiling was synchronous with that based on genome-wide Single Nucleotide Polymorphism analysis. Across genotypes, the sucrose-to-caffeine ratio was low, a characteristic indicative of low cup quality. The sucrose-to-caffeine ratio was also highly correlated, indicative of common mechanisms regulating the accumulation of these compounds. Nevertheless, this strong correlative link was broken within the ‘Niaouli’ group, as caffeine and sucrose content were highly variable among these genotypes. These ‘Niaouli’ genotypes could therefore serve as useful germplasm for starting a Nigerian C. canephora quality improvement breeding program.

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Section: Resultssupporting

confidence: 66%

Section: Resultssupporting

confidence: 54%

Gas Chromatography-Mass Spectrometry and Single Nucleotide Polymorphism-Genotype-By-Sequencing Analyses Reveal the Bean Chemical Profiles and Relatedness of Coffea canephora Genotypes in Nigeria

Anagbogu

Ilori

Bhattacharjee

et al. 2019

Plants

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“…A number of analytical techniques such as high performance liquid chromatography (HPLC) [9], gas chromatography with flame ionization detection [10], gas chromatography-mass spectrometry [11,12], proton transfer mass spectrometry [13], nuclear magnetic resonance (NMR) spectroscopy [14], isotope-ratio mass spectrometry [15], near-infrared spectroscopy [16,17], electronic nose [18], flame atomic absorption spectrometry [19], and attenuated total reflectance Fourier transform infrared spectroscopy [16], among other techniques, has been reported in the literature for the quantitative determination of coffee constituents and screening of coffee for adulteration.…”

Section: Introductionmentioning

confidence: 99%

Validation of a Quantitative Proton Nuclear Magnetic Resonance Spectroscopic Screening Method for Coffee Quality and Authenticity (NMR Coffee Screener)

Okaru

Scharinger

Rezende

et al. 2020

Foods

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Monitoring coffee quality as a means of detecting and preventing economically motivated fraud is an important aspect of international commerce today. Therefore, there is a compelling need for rapid high throughput validated analytical techniques such as quantitative proton nuclear magnetic resonance (NMR) spectroscopy for screening and authenticity testing. For this reason, we sought to validate an 1H NMR spectroscopic method for the routine screening of coffee for quality and authenticity. A factorial experimental design was used to investigate the influence of the NMR device, extraction time, and nature of coffee on the content of caffeine, 16-O-methylcafestol (OMC), kahweol, furfuryl alcohol, and 5-hydroxymethylfurfural (HMF) in coffee. The method was successfully validated for specificity, selectivity, sensitivity, and linearity of detector response. The proposed method produced satisfactory precision for all analytes in roasted coffee, except for kahweol in canephora (robusta) coffee. The proposed validated method may be used for routine screening of roasted coffee for quality and authenticity control (i.e., arabica/robusta discrimination), as its applicability was demonstrated during the recent OPSON VIII Europol-Interpol operation on coffee fraud control.

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“…Esta extensão surgiu principalmente visando atender as demandas relacionadas a garantia da segurança alimentar, a qualidade e a rastreabilidade de alimentos empregando métodos analíticos eficientes e de baixo custo (CASTRO-PUYANA; HERRERO, 2013). Nesse contexto, essa ciência apresenta grande potencial nas temáticas de autenticação de alimentos e identificação de fraudes (JUMHAWAN et al, 2015; KUŚ; VAN RUTH, 2015;MIAO et al, 2015;SON et al, 2008).…”

Section: Metabolômicaunclassified

Autenticidade De Méis: Uma Breve Revisão Sobre Fingerprints E Marcadores Químicos

Tischer¹,

Bergamo²,

Valdemiro³

et al. 2020

Ciência, Tecnologia E Inovação: Do Campo À Mesa

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ResumoA adulteração do mel representa uma ameaça à segurança alimentar desse produto, tornandose uma questão ainda mais crítica quando se trata de méis com alta demanda e valor de mercado agregado. Nesse sentido, a busca por ferramentas que possam auxiliar na identificação de fraudes tanto por meio da adição de compostos ao mel como por meio da mistura de diferentes méis vem sendo alvo de pesquisas ao longo das últimas décadas. Portanto, esta revisão teve como objetivo abordar principalmente o uso do "fingerprint" cromatográfico/espectrométrico e da análise alvo (marcadores químicos) como ferramentas na avaliação da autenticidade de méis. Com base nas informações apresentadas, foi possível verificar o potencial dessas abordagens na detecção de fraudes em méis e a importância da continua investigação dessas e de outras ferramentas para a avaliação da autenticidade de méis.

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Application of gas chromatography/flame ionization detector-based metabolite fingerprinting for authentication of Asian palm civet coffee (Kopi Luwak)

Cited by 42 publications

References 36 publications

Gas Chromatography-Mass Spectrometry and Single Nucleotide Polymorphism-Genotype-By-Sequencing Analyses Reveal the Bean Chemical Profiles and Relatedness of Coffea canephora Genotypes in Nigeria

Gas Chromatography-Mass Spectrometry and Single Nucleotide Polymorphism-Genotype-By-Sequencing Analyses Reveal the Bean Chemical Profiles and Relatedness of Coffea canephora Genotypes in Nigeria

Validation of a Quantitative Proton Nuclear Magnetic Resonance Spectroscopic Screening Method for Coffee Quality and Authenticity (NMR Coffee Screener)

Autenticidade De Méis: Uma Breve Revisão Sobre Fingerprints E Marcadores Químicos

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