DART-MS approaches for metabolomics-based authentication: Challenges in determining the geographical origin of strawberries (Fragaria × ananassa)

IF 3.7 Q1 CHEMISTRY, ANALYTICAL

Talanta Open Pub Date : 2025-06-05 DOI:10.1016/j.talo.2025.100496

Felix Schmauder, Johannes Brockelt, Kim Brettschneider, Stephan Seifert, Marina Creydt, Markus Fischer

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Abstract

Metabolomics-based approaches are a widely used method for determining the origin of food. The aim of this study was to investigate the suitability of metabolomics analysis using direct analysis in real time mass spectrometry (DART-MS) to ascertain the origin of strawberries. In addition, optimization possibilities and limitations were identified by testing different extraction methods, two different sample delivery systems (Quick-Strip and Dip-it approaches), and running some of the measurements in both positive and negative ionization mode proved to be the most suitable. A total of 207 strawberry samples from six countries were measured and classified using random forest with this optimized approach. The classification accuracy was 63.8%, which shows certain limitations of the approach presented. However, another aim of this study was to protect German strawberries from adulteration with foreign strawberries, and this was achieved with a promising accuracy of 90.3%.

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基于代谢组学认证的DART-MS方法：确定草莓（Fragaria x ananassa）地理来源的挑战

基于代谢组学的方法是一种广泛使用的确定食物来源的方法。本研究的目的是探讨利用实时质谱（DART-MS）直接分析代谢组学分析确定草莓来源的适用性。此外，通过测试不同的提取方法，两种不同的样品输送系统（快速条带法和浸渍法），以及在正、负电离模式下运行的一些测量结果，确定了优化的可能性和局限性。采用随机森林方法对来自6个国家的207份草莓样品进行了测量和分类。分类准确率为63.8%，表明本文方法存在一定的局限性。然而，本研究的另一个目的是保护德国草莓不受外国草莓的掺假，这一目标的准确性达到了90.3%。

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