This month's Special Feature is authored by Thierry Fouquet from the Research Institute for Sustainable Chemistry, Tsukuba, Japan. Dr. Fouquet provides a very readable and well‐illustrated introduction to Kendrick plots and their utility as a data processing tool for visualizing, filtering and assigning congested mass spectra. The Kendrick (mass defect) analysis was first introduced some 60 years ago and was applied to polymer ions where it was used to produce a visual, two‐dimensional map of spectra. It provides intuitive alignments of the repetitive patterns and deconvolution of features that are otherwise overlaid in a one‐dimensional mass spectrum. This Special Feature article reports on an updated and theoretically sound application of Kendrick plots for de novo data processing. Dr Fouquet focuses his Special Feature on applications to polymer analysis, but also extends his discussion to polymers present as pollutants/contaminants, and to other analytes incorporating a repetitive moiety, for example, oils and lipids.

中文翻译：

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聚合物质谱的Kendrick分析

本月的专刊由日本筑波可持续化学研究所的Thierry Fouquet撰写。Fouquet博士对Kendrick图及其作为可视化，过滤和分配拥塞质谱图的数据处理工具的实用性进行了很好的可读性和插图说明。Kendrick（质量缺陷）分析是大约60年前首次引入的方法，已应用于聚合物离子，用于生成可见的二维光谱图。它提供了重复模式的直观对齐方式以及特征的去卷积功能，否则这些功能可以叠加在一维质谱图中。在肯德里克地块用于更新和理论上合理应用这种特殊的功能文章报道从头数据处理。Fouquet博士将他的专着聚焦于聚合物分析的应用，但他的讨论也扩展到了以污染物/污染物形式存在的聚合物，以及包含重复部分的其他分析物，例如油和脂质。