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SUPPLEMENTARY DATA TO: “Fine micro- and nanoplastics particles (PM2.5) in urban air and their relation to polycyclic aromatic hydrocarbons”

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Summary

This is supplementary data for a study measuring fine microplastic and nanoplastic particles (PM2.5) in urban air alongside polycyclic aromatic hydrocarbons, not a standalone research article.

Polymers

This is the repository of the supplementary data and it contains the following files: • Raw data files as original output of TD-PTR-ToF-MS for field blank measurements and PM2.5 sample measurements of GDB • Raw data files as original output of TD-PTR-ToF-MS for PS spiked measurements • xls Data analysis file including raw data, blank subtraction and LOD correction of all measurements for GDB • Final mass spectra of all experiments (GDB, field blanks, spiked) used for UFMNP fingerprinting • UFMNP fingerprinting results (xls file) for all experiments (GDB, field blanks, spiked) • xls Data analysis file including all macro and micro constituents, i.e. OM, EC, PAHs • Nanoplastics Fingerprint scripts used for the experiments; All “massLibr*” files contain the mass spectra of virgin plastics with molar ratio (ppb) value for each ion detected in the plastics vapours (3 decimal point precision of m/z). The script files were written in PYTHON (compatible with PYTHON 2 and 3 - all versions). “DataFlip.py” is used for formatting the data into the matrix acceptable for the fingerprinting script. “FngClass.py” and “funFunctions.py” are supporting classes used for the main scripts. matchingTest.py is a main script used for comparing a sample mass spectrum to the one from the plastics library (e.g. for PET use “massLibrPET.csv”). matchingLoopQ4.py is a main script used for comparing all the samples with all the plastics from the library (“massLibr*” files). • PTRwid version of software we used for mass spectra and molar ratio extraction.

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