Using elemental profiles and stable isotopes to trace the origin of green coffee beans on the global market

The isotopic profile (δ(13) C, δ(15) N, δ(18) O, δ(2) H, δ(34) S) was used to characterise a wide selection of cocoa beans from different renowned production areas (Africa, Asia, Central and South America). The factors most influencing the isotopic signatures of cocoa beans were climate and altitude for δ(13) C and the isotopic composition of precipitation water for δ(18) O and δ(2) H, whereas δ(15) N and δ(34) S were primarily affected by geology and fertilisation practises. Multi-isotopic analysis was shown to be sufficiently effective in determining the geographical origin of cocoa beans, and combining it with Canonical Discriminant Analysis led to more than 80% of samples being correctly reclassified. Copyright © 2016 John Wiley& Sons, Ltd.

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“…Africa 8 kg/ha) . The results are comparable with the range found by Santato et al . in coffee beans (+0.6‰ to 7.1‰).…”

Section: Resultssupporting

confidence: 91%

“…). Similar variability ranges (from −29.4‰ to −25.3‰) were found in the study of Santato et al . for coffee beans cultivated in the same tropical areas.…”

Section: Resultssupporting

confidence: 88%

Stable isotope composition of cocoa beans of different geographical origin

et al. 2016

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“…Previous studies using isotopes as an indicator of coffee origin have focused primarily on the analysis of green coffee beans, although the vast majority of coffee sold to consumers is roasted. Santato et al reported δ 18 O values of bulk green coffee ranging from 19‰ to 37‰ and found generally lower values in Central America and higher values in Africa. Rodrigues et al reported δ 18 O values between 18.7‰ (from Papua New Guinea) and 34.8‰ (from Ethiopia).…”

Section: Discussionmentioning

confidence: 99%

“…Several studies have associated the chemical and isotopic characteristics of coffee with region of origin; previous approaches include measurements of carbon, nitrogen, boron, strontium, hydrogen, and oxygen stable isotope ratios, and elemental concentrations . These studies established that isotope ratios and elemental concentrations in coffee vary geospatially, and that coffees grown in the same region tend to have similar isotopic and elemental compositions . However, these approaches have been unable to predict spatial patterns in isotope ratios …”

Section: Introductionmentioning

confidence: 99%

A predictive spatial model for roasted coffee using oxygen isotopes of α‐cellulose

Driscoll

Howa

Bitter

et al. 2020

Rapid Comm Mass Spectrometry

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Rationale Fraudulent region‐of‐origin labeling is a concern for high‐value, globally traded commodities such as coffee. The oxygen isotope ratio of cellulose is a useful geographic tracer, as it integrates climate and source water signals. A predictive spatial model (“isoscape”) of the δ18O values of coffee bean cellulose is generated to evaluate coffee region‐of‐origin claims. Methods The oxygen isotope ratio of α‐cellulose extracted from roasted coffee beans was measured via high‐temperature conversion elemental analyzer/isotope ratio mass spectrometry (TC‐EA/IRMS) and used to calculate the δ18O value of coffee bean water. The 18O enrichment of coffee bean water relative to the δ18O value of local precipitation was modeled as a function of local temperature and humidity. This function was incorporated into a mechanistic model of cellulose δ18O values to predict the δ18O values of coffee bean cellulose across coffee‐producing regions globally. Results The δ18O values of analyzed coffee bean cellulose ranged from approximately +22‰ to +42‰ (V‐SMOW). As expected, coffees grown in the same region tended to have similar isotope ratios, and the δ18O value of coffee bean cellulose was generally higher than the δ18O value of modeled stem cellulose for the region. Modeled δ18O values of coffee cellulose were within ±2.3‰ of the measured δ18O value of coffee cellulose. Conclusions The oxygen isotope ratio of coffee bean cellulose is a useful indicator of region‐of‐origin and varies predictably in response to climatic factors and precipitation isotope ratios. The isoscape of coffee bean cellulose δ18O values from this study provides a quantitative tool that can be applied to region‐of‐origin verification of roasted coffee at the point‐of‐sale.

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“…Multiple elements including trace elements were also analyzed as potential parameters for distinguishing the origin of chicken samples since site-specific features can be provided (Franke et al, 2007;Furia, Naccarat, Sindona, Stabile, & Tagarelli, 2011;Pilgrim et al, 2010;Santato, Bertoldi, Perini, Camin, & Larcher, 2012). Meanwhile, the concentration of multiple elements is an indicator of the elemental composition of feed (Brunner, Katona, Stefánka, & Prohaska, 2010;Pisani, Protano, & Riccobono, 2008).…”

Section: Multi-element In Chicken Samples From Different Regionsmentioning

confidence: 99%

Combination of multi-element and stable isotope analysis improved the traceability of chicken from four provinces of China

Zhao

Zhang

Guo

et al. 2015

CyTA - Journal of Food

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The establishment of appropriate analytical methods to authenticate the geographic origin of poultry meat independent of paper record becomes especially important nowadays. In this study, data were analyzed in terms of both the contents of two stable isotopes (C and N) and 12 mineral elements of chicken samples from four provinces to trace their geographical origin. The results showed that classification of chicken was improved by combining both types of data, as compared to that using the mineral element data alone. The present study demonstrates that it is possible to indicate the poultry origin by applying stable isotope and multi-element analysis, which is an effective tool to trace the geographic origin of poultry.Keywords: stable isotope; multi-element; geographic origin; chicken Hoy en día es muy importante el establecimiento de métodos analíticos apropiados para autentificar el origen geográfico de la carne de ave de forma independiente a los estudios publicados. En este estudio, se analizaron los datos según el contenido de 2 isótopos estables (C y N) y 12 elementos minerales de muestras de pollo de 4 provincias para trazar su origen geográfico. Los resultados mostraron que la clasificación del pollo fue mejorada mediante la combinación de los dos tipos de datos, en comparación con la utilización única de elemento mineral. El presente estudio demuestra que es posible indicar el origen de las aves mediante la aplicación del análisis de isótopos estables y multielemento, el cual es una herramienta efectiva para trazar el origen geográfico de las aves.

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Using elemental profiles and stable isotopes to trace the origin of green coffee beans on the global market

Cited by 50 publications

References 24 publications

Stable isotope composition of cocoa beans of different geographical origin

Stable isotope composition of cocoa beans of different geographical origin

A predictive spatial model for roasted coffee using oxygen isotopes of α‐cellulose

Combination of multi-element and stable isotope analysis improved the traceability of chicken from four provinces of China

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