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. 2023 Oct 30;13:18616. doi: 10.1038/s41598-023-45230-z

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© The Author(s) 2023

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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Statistics for comparison between atmospheric aerosol properties and related pro-inflammatory and oxidative endpoints. Paired scatterplot matrix shows 24-h data for variables related to bulk aerosol (PM1, and BC mass concentration, and total number concentration, N $_{tot}$ ); the Condensation Sink (CS) as a function of particle size, in the nucleation, Aitken, soot, condensation and larger accumulation mode (CS $_{8 - 20}$ , CS $_{20 - 40}$ ,CS $_{40 - 100}$ , CS $_{100 - 200}$ , CS $_{200 - 900}$ , see “Method” Section); aerosol type (number concentration of nucleation mode particles, N $_{8 - 20}$ , BC-to-OA ratio, and insoluble Copper mass concentration (Cu)); both water-soluble and total aerosol oxidative potential (DTT activity of PM $_{1}$ samples); gene expression for oxidative stress (fold change for HMOX-1 and inflammation (fold change for CXCL-8). Statistical correlation values is shown in the box as Pearson correlation (R $^{2}$ ), and Spearman correlation ( $ρ^{2}$ ), with the relative significance level (p-value). The color gradient is proportional to the Pearson correlation coefficient, R (red for positive R, blue for negative R). The number of points (n) to calculate correlations is 16, except for DCFH where n = 8. Created in R-Studio version 2022.12.0 using ggpairs function from the GGally package version 2.1.2.