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EA-IRMS: Tracing the geographical origin of coffeeusing isotope fingerprints

Applications | 2017 | Thermo Fisher ScientificInstrumentation
Industries
Food & Agriculture
Manufacturer
Thermo Fisher Scientific

Summary

Summary of EA-IRMS Method for Tracing Coffee Origin


Significance of the Topic:
Tracing the geographical origin of food products is essential for combating economically motivated fraud, protecting consumer trust and upholding regulatory labeling standards. Coffee, as a globally traded commodity commanding variable premiums, is particularly vulnerable to mislabeling and adulteration. Stable isotope analysis of hydrogen and oxygen provides a robust chemical signature that reflects local rainfall and environmental conditions, enabling unambiguous origin verification.

Objectives and Study Overview:
The primary goal of this study was to evaluate the capability of a combined elemental analyzer–isotope ratio mass spectrometry platform (EA IsoLink IRMS) to determine the country and continental origin of roasted coffee beans. Twenty distinct samples from 15 countries across Africa, Asia and Central/South America were analyzed for their δ2H and δ18O values. The study also investigated intra-country isotopic variability and identified potential instances of mislabeling.

Instrumental Setup:
Approximately 800 µg of dried, cryo-milled coffee per analysis was encapsulated in silver capsules and introduced via a MAS Plus autosampler into the EA IsoLink pyrolysis reactor at 1450 °C. Generated H2 and CO were separated on a 1 m molecular sieve GC column at 70 °C and transferred through a ConFlo IV interface to a Delta V IRMS. Calibration against VSMOW and SLAP standards ensured high precision. Analysis time per sample was under 5 minutes, consuming ~1 L helium.

Key Findings and Discussion:
  • Continental Discrimination: δ18O and δ2H fingerprints clustered clearly by continent, with African coffees exhibiting higher heavy isotope enrichment due to strong evaporative conditions.
  • Country-Level Agreement: Isotope values aligned closely with published databases, confirming the method’s reliability for country-of-origin assignment.
  • Altitude Effects: Within-country variations, such as those observed for Colombian and Guatemalan coffees, corresponded to differing plantation elevations, with higher altitudes yielding lighter isotope ratios.
  • Detection of Mislabeled Samples: A sample labeled as “Bio Sumatra” grouped isotopically with Central/South American profiles, indicating a label authenticity issue.

Benefits and Practical Applications:
  • Rapid, cost-effective screening of coffee and other food/beverage products for authenticity and origin verification.
  • Full automation reduces operator intervention and increases throughput.
  • Compliance support for food labeling regulations (EC No. 1169/2011, EC No. 510/2006).
  • Flexible platform adaptable to evolving analytical needs.

Future Trends and Applications:
Expansion of isotope databases to cover additional regions and varieties will enhance assignment accuracy. Integration with multi-isotope and molecular fingerprinting approaches can improve resolution. Miniaturized IRMS interfaces and ambient sampling techniques may enable field-deployable authenticity testing. The combination of analytical data with blockchain-based supply chain tracking promises a comprehensive solution for traceability.

Conclusion:
The EA IsoLink IRMS approach for hydrogen and oxygen stable isotope analysis provides a powerful, automated tool for tracing the geographical origin of coffee. Its high precision, rapid turnaround and strong agreement with literature benchmarks make it well suited for laboratory verification of labeling claims and for safeguarding consumer confidence.

References:
  1. Camin F., Boner M., Bontempo L., Fauhl-Hassek C., Kelly S., Riedl J., Rossmann R. Trends in Food Science & Technology 61 (2017) 176–187.
  2. Rodrigues C., Maia R., Miranda M., Ribeirinho M., Nogueira J.M.F., Máguas C. Journal of Food Composition and Analysis 22 (2009) 463–471.
  3. Santato A., Bertoldi D., Perini M., Camin F., Larcher R. Journal of Mass Spectrometry 47 (2012) 1132–1140.
  4. Rodrigues C., Brunner M., Steiman S., Bowen G.J., Nogueira J.M.F., Prohaska T., Máguas C. Journal of Agricultural and Food Chemistry 59 (2011) 10239–10246.
  5. Carter J.F., Yates H.S.A., Tinggi U. Journal of Agricultural and Food Chemistry 63 (2015) 5771–5779.
  6. Rodrigues C., Maia R., Máguas C. Spectroscopy Europe 25 (2013).

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