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Non-targeted analysis of unknown volatile chemicals in medical masks

Highlights

  • This study explored the unknown volatile chemicals in medical masks.
  • Non-targeted analysis method was developed with GC-Orbitrap HRMS.
  • A reliable qualitative analysis was carried out according to four identification steps.
  • 12 high-risk volatile chemicals in medical masks were listed.
  • This study helps to better identify potential risks and promote products safety.

Abstract

This paper reports the non-targeted analysis of unknown volatile chemicals in medical masks through headspace gas chromatography-Orbitrap high-resolution mass spectrometry. In view of the difficulties that may be encountered in the qualitative analysis of unknown substances, several typical cases and the corresponding reliable solutions are given from the perspective of comprehensive score and retention index, chemical ionization identification molecular formula, fragment ion detail comparison for distinguishing isomers, and identification of alkanes. With this method, 69 volatile substances were identified in 60 masks. The identified substances were divided into nine categories. Alkanes, esters, benzenes, and alcohols were the top four groups of substances identified in masks and accounted for 34.8%, 15.9%, 10.1%, and 7.2% of the total substances, respectively. In addition, ketones, ethers, phenolics, amides, and other substances were identified. Ethanol, 1,4-dichlorobenzene, toluene, m-xylene, dimethyl glutarate, and N,N-dimethylacetamide had high detection rates. The identified substances were further filtered and screened according to their detection rate, toxicity, and response intensity. Finally, 12 high-risk volatile chemicals in medical masks were listed. This study could serve as a reference for identifying unknown substances and a guide for monitoring volatile chemicals in masks and promoting chemical safety improvements in products.

Graphical abstract

https://doi.org/10.1016/j.envint.2022.107122
Source : https://www.sciencedirect.com/science/article/pii/S0160412022000484

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