DART-QDa for the Rapid Differentiation of Curcuma longa and Curcuma xanthorrhiza in Adulterated Spices using LiveID

Importance of the Topic

Curcuma longa and Curcuma xanthorrhiza are two turmeric species often used interchangeably, yet they differ in curcuminoid composition and market value. Reliable differentiation is essential to prevent economic losses and ensure safety and efficacy in food, cosmetic, and pharmaceutical applications.

Objectives and Study Overview

The aim of this study was to demonstrate a rapid, chromatography-free workflow using direct analysis in real time mass spectrometry coupled with LiveID software to distinguish C. longa from C. xanthorrhiza in powdered spice samples.

Methodology and Instrumentation

Sample preparation involved extracting 150 mg of ground turmeric with acetonitrile : water (75 : 25), followed by sonication, centrifugation, dilution, and spotting on QuickStrip cards. Analysis was carried out on a Waters DART QDa system using helium at 450 °C, a cone voltage of 10 V, sample speed of 1 mm/s, and full-scan acquisition from 100 to 600 m/z. Data acquisition was controlled by MassLynx software and chemometric modeling was performed with LiveID employing PCA and LDA algorithms.

Key Results and Discussion

PCA/LDA clustering clearly separated the two species into distinct groups. The curcumin ion at 369 m/z dominated PC1, explaining about 70% of variance, while ions at 217 m/z (ar-turmerone) and 235 m/z (other curcuminoids) drove PC2 with 16% variance. Cross-validation methods (leave-one-file-out and leave-20%-out) yielded 100% correct classification over 240 spectra. Blind testing of commercial powders also achieved 100% accuracy, confirming model robustness.

Benefits and Practical Applications

• Real-time species identification with minimal sample preparation
• No need for chromatographic separation
• High-throughput adulteration screening in food and cosmetic QC
• User-friendly software accessible to non-experts

Future Trends and Potential Applications

Future developments may include expanding the model to quantify mixtures, applying the workflow to other botanical species, integrating results into supply-chain monitoring systems, and enhancing chemometric and ionization techniques to boost sensitivity and selectivity.

Conclusion

The DART QDa system combined with LiveID offers a rapid, accurate, and user-friendly alternative to LC-MS for authenticating turmeric species, supporting quality control and anti-adulteration efforts.

Reference

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