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. 2021 Jul 20;413(21):5291–5300. doi: 10.1007/s00216-021-03500-7

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© The Author(s) 2021

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 1 — All resulting nodes (red dots) and networks for feature-based molecular networking of river and abstraction well samples (left) with network size decreasing from top to bottom (singletons); abstracted identified nodes and networks containing at least one annotated node (middle); networks containing carbamazepine and related compounds (right)