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Signature of Sr isotope ratios and the contents of elements as a tool to distinguish wine regions in China

  • 0Technology Center of Qinhuangdao Customs, Qinhuangdao 066004, PR China; Northwest A&F University, Yangling 712100, PR China; Hebei Key Laboratory of Wine Quality & Safety Testing, Qinhuangdao 066004, PR China.
Food Chemistry +

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February 26, 2024

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February 26, 2024

View abstract on PubMed

Summary

This summary is machine-generated.

This study maps strontium isotope ratios in Chinese wines to determine their geographic origin. This method accurately predicts wine provenance, aiding in food authenticity and traceability.

Area Of Science

  • Geochemistry
  • Food Science
  • Analytical Chemistry

Background

  • Geographic origin is a key factor in wine quality and authenticity.
  • Strontium (Sr) isotope ratios reflect local geology and can be used for origin tracing.
  • Existing methods for wine origin identification often require authentic samples for comparison.

Purpose Of The Study

  • To characterize strontium (Sr) isotope ratios and elemental profiles across seven Chinese wine regions.
  • To develop and validate a predictive strategy for determining wine geographic origin using Sr isotopes, independent of authentic samples.
  • To assess the potential application of Sr isotope analysis for broader food product traceability.

Main Methods

  • Analysis of 120 Chinese wine samples from seven distinct geographic regions.
  • Measurement of 87Sr/86Sr isotope ratios and elemental characteristics.
  • Development of a predictive map based on Sr isotope ratios and cross-validation for accuracy assessment.

Main Results

  • Observed 87Sr/86Sr values ranged from 0.708256 to 0.715148, correlating with regional geology.
  • The Hexi Corridor region showed the highest Sr isotope ratios, while Xinjiang exhibited the lowest.
  • The developed prediction map achieved a cross-validation error of less than 0.00074, demonstrating high accuracy.

Conclusions

  • Strontium isotope ratios are stable over time and location-specific, making them reliable markers for wine origin.
  • The developed predictive map is a feasible tool for identifying wine geographic origin without authentic samples.
  • This Sr isotope-based approach offers improved accuracy for wine origin tracing and can be extended to other food products.

Keywords: