Tracing the geographical origin of tiger nut (Cyperus esculentus L) in China based on stable isotopes and mineral elements combined with multi-modal recognition

  • 0Centre Laboratory of Academy of National Food and Strategic Reserves Administration, Xicheng District, Beijing 100037, China.

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Summary

This summary is machine-generated.

Stable isotopes and elemental analysis can identify tiger nut origins in China. Machine learning models achieved 85% accuracy, highlighting key indicators for origin tracing.

Area Of Science

  • Agricultural Science
  • Analytical Chemistry
  • Food Science

Background

  • Tiger nut (Cyperus esculentus) is a globally significant crop.
  • Geographical origin impacts crop quality and market value.
  • Accurate origin discrimination is crucial for food authenticity and traceability.

Purpose Of The Study

  • To develop a method for discriminating tiger nut based on geographical origin within China.
  • To evaluate the effectiveness of stable isotope ratios and elemental composition analysis for origin tracing.
  • To apply chemometrics and machine learning for robust origin classification.

Main Methods

  • Analysis of stable isotope ratios (δ<sup>13</sup>C, δ<sup>15</sup>N, δ<sup>2</sup>H, and δ<sup>18</sup>O) in tiger nut samples.
  • Determination of elemental compositions using analytical techniques.
  • Application of chemometric methods and machine learning algorithms (SVM, MLP) for data analysis and classification.

Main Results

  • Significant differences in δ<sup>15</sup>N, δ<sup>2</sup>H, δ<sup>18</sup>O isotope ratios and the content of 24 elements were observed among tiger nuts from different Chinese regions (p < 0.05).
  • Support Vector Machine (SVM) and Multi-layer Perceptron (MLP) models achieved 85% predictive accuracy in classifying tiger nut origin.
  • Key isotopic (δ<sup>15</sup>N, δ<sup>2</sup>H, δ<sup>18</sup>O) and elemental (Mn, Cd, Sb, Fe, Al, Zn, Ti, V, Sr, Tl, Co, Ga) indicators were identified for origin discrimination.

Conclusions

  • Stable isotope ratios and elemental composition, analyzed with chemometrics and machine learning, provide a feasible approach for tracing the origin of tiger nut in China.
  • The study successfully identified specific isotopic and elemental markers crucial for differentiating tiger nut provenance.
  • This methodology offers a reliable tool for ensuring food authenticity and combating fraudulent labeling in the tiger nut market.

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