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. 2020 Aug 8;17:38. doi: 10.1186/s12989-020-00369-9

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© The Author(s) 2020

Open AccessThis 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/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Fig. 8 — Deposited surface area, EC, OC, and PAH correlations with neutrophil influx on day 1. (a) Estimated deposited surface area, original data (left panel) and linear regression plots with and without NIST references (right panels). (b) Estimated deposited elemental carbon, original data (left panel) and linear regression plot (right panel). (c) Estimated deposited organic carbon, original data (left panel) and linear regression plot (right panel). (d) Estimated deposited Total (native) PAH, original data (left panel) and linear regression plot (right panel). The estimated deposited specific surface area (SSA), elemental carbon (EC), organic carbon (OC) and PAHs were calculated by multiplying the physicochemical values by the dose (EC and OC: dose in μg * EC fraction = deposited EC in μg; for SSA: dose in g * SSA m²/g = deposited SSA in g; for PAH: dose in g * PAH μg/g = deposited PAH in μg). The data was log-transformed for the linear regression analysis