Issue 4, 2025

Characterizing the distribution of aromatic amines between polyester, cotton, and wool textiles and air

Abstract

Textiles play an important role in the accumulation of harmful chemicals and can serve as a secondary source of chemical pollutants in indoor environments, releasing these chemicals back into indoor air, as well as a vector from which indoor pollution can be released by laundering to wastewater systems. Among harmful indoor pollutants, aromatic amines (AAs) are particularly concerning due to their mutagenic and carcinogenic properties, but have received limited attention in non-occupational indoor environments. We have characterized the distribution of 19 AAs between cotton, wool, and polyester textiles and air. Chamber exposure experiments were conducted under controlled laboratory conditions to quantify textile–air distributions of AAs and identify key parameters impacting the distribution. The mass-normalized textile/air distribution coefficients (KTA) of AAs for polyester, cotton, and wool range from 5.28 to 9.52 log units (L kg−1). The findings suggest that cotton generally exhibits higher distribution coefficients than polyester and wool for most analytes. Overall, the results show a strong positive relationship between octanol–air distribution coefficients (KOA) and KTA values. The consistent uptake capacity of all tested textiles for AAs highlights the potential for textiles to play a key role in AA indoor distributions.

Graphical abstract: Characterizing the distribution of aromatic amines between polyester, cotton, and wool textiles and air

Supplementary files

Article information

Article type
Paper
Submitted
07 Jan 2025
Accepted
13 Mar 2025
First published
24 Mar 2025
This article is Open Access
Creative Commons BY-NC license

Environ. Sci.: Processes Impacts, 2025,27, 1054-1062

Characterizing the distribution of aromatic amines between polyester, cotton, and wool textiles and air

Ö. Edebali, A. Goellner, M. Stiborek, Z. Šimek, M. Muz, B. Vrana and L. Melymuk, Environ. Sci.: Processes Impacts, 2025, 27, 1054 DOI: 10.1039/D5EM00015G

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