Rammouz Sina, Reichstein Anne, Riehle Jochen, Ferner Ansgar, Fischer Markus, Schäfers Christian
Institut für Hygiene und Umwelt, Marckmannstraße 129 b, 20539 Hamburg, Germany.
Hamburg School of Food Science - Institut für Lebensmittelchemie, Grindelallee 117, 20146 Hamburg, Germany.
Food Chem (Oxf). 2025 May 5;10:100260. doi: 10.1016/j.fochms.2025.100260. eCollection 2025 Jun.
Ensuring the authenticity of food ingredients is a key aspect of food safety and quality control. High-quality raw materials are often replaced by cheaper ones and not declared. In fine bakery products such as baklava, pistachios are illegally replaced by cheaper nuts. In this study we introduce a Next-generation sequencing (NGS)-based DNA metabarcoding approach as a sensitive, reliable, and semi-quantitative method that enables a successfully detection of such adulterations, even in complex and highly processed food matrices. NGS offers increased depth, efficiency and further applications compared to conventional Sanger sequencing. In the present study, the mini-rbcL region of the chloroplast genome was used and sequencing was performed on an Illumina MiSeq® instrument. The method enabled the identification of six common pistachio adulterants, including nuts, seeds, and legumes. By preparing analytical control samples, matrix effects could be observed and included in the semi-quantitative analysis. We successfully applied the method and demonstrated the high potential of NGS technologies for routine food authentication, offering a cost- and time-efficient solution for high-throughput sample analysis.
确保食品成分的真实性是食品安全和质量控制的关键环节。优质原材料常被更便宜的原料替代且未作声明。在如巴克拉瓦这样的精致烘焙食品中，开心果会被更便宜的坚果非法替代。在本研究中，我们引入了一种基于新一代测序（NGS）的DNA宏条形码方法，作为一种灵敏、可靠且半定量的方法，即使在复杂和高度加工的食品基质中也能成功检测出此类掺假情况。与传统的桑格测序相比，NGS提供了更高的深度、效率和更多应用。在本研究中，使用了叶绿体基因组的微型rbcL区域，并在Illumina MiSeq®仪器上进行测序。该方法能够鉴定出六种常见的开心果掺假物，包括坚果、种子和豆类。通过制备分析对照样品，可以观察到基质效应并将其纳入半定量分析。我们成功应用了该方法，并证明了NGS技术在常规食品认证方面的巨大潜力，为高通量样品分析提供了一种经济高效的解决方案。
