Hamburg School of Food Science, Institute of Food Chemistry, University of Hamburg, Hamburg, Germany.
Electrophoresis. 2020 Oct;41(20):1665-1679. doi: 10.1002/elps.202000030. Epub 2020 Apr 27.
In times of increasing globalization and the resulting complexity of trade flows, securing food quality is an increasing challenge. The development of analytical methods for checking the integrity and, thus, the safety of food is one of the central questions for actors from science, politics, and industry. Targeted methods, for the detection of a few selected analytes, still play the most important role in routine analysis. In the past 5 years, nontargeted methods that do not aim at individual analytes but on analyte profiles that are as comprehensive as possible have increasingly come into focus. Instead of investigating individual chemical structures, data patterns are collected, evaluated and, depending on the problem, fed into databases that can be used for further nontargeted approaches. Alternatively, individual markers can be extracted and transferred to targeted methods. Such an approach requires (i) the availability of authentic reference material, (ii) the corresponding high-resolution laboratory infrastructure, and (iii) extensive expertise in processing and storing very large amounts of data. Probably due to the requirements mentioned above, only a few methods have really established themselves in routine analysis. This review article focuses on the establishment of nontargeted methods in routine laboratories. Challenges are summarized and possible solutions are presented.
在全球化不断发展和贸易流动日益复杂的时代，确保食品质量是一个日益严峻的挑战。开发分析方法来检查食品的完整性，从而确保其安全性，是科学界、政治界和工业界相关人士关注的核心问题之一。针对少数选定分析物的靶向方法在常规分析中仍起着最重要的作用。在过去的 5 年中，非靶向方法越来越受到关注，这些方法不针对个别分析物，而是针对尽可能全面的分析物谱。这些方法不是收集和评估个别化学结构的数据模式，而是根据问题将其输入可用于进一步非靶向方法的数据库。或者，可以提取个别标记物并将其转移到靶向方法中。这种方法需要（i）有真实的参考物质，（ii）相应的高分辨率实验室基础设施，以及（iii）处理和存储大量数据的广泛专业知识。可能由于上述要求，只有少数方法真正在常规分析中确立了自己的地位。本文重点介绍了在常规实验室中建立非靶向方法的情况。总结了所面临的挑战，并提出了可能的解决方案。
