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. 2018 Feb 27;8:3669. doi: 10.1038/s41598-018-21541-4

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© The Author(s) 2018

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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.

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Distinguishing office interactions through chemical and microbial signatures using 3D cartography. Source tracking based on LC-MS profiling (a–d) as well as 16S amplicon microbial analysis (1e–h) illustrates the points and intensity of source tracking between volunteers 1–4 and samples sites across the office. Higher probability that molecular features from a sample site belong to a designated volunteer is indicated in red. Blue spots represent a lower probability that molecular features belong to a particular volunteer. Source tracking data based on volunteer 1 is shown in (a,e). Source tracking based on volunteer 2 is (b,f). Source tracking based on volunteer 3 is (c,g). Source tracking based on volunteer 4 are (d,h).