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Characteristic structures of liquid crystal monomers in EI-MS analysis and the potential application in suspect screening.

Authors :
Feng, Jing-Jing
Liao, Jian-Xiong
Jiang, Qian-Wen
Mo, Ling
Source :
Chemosphere. Jun2024, Vol. 358, pN.PAG-N.PAG. 1p.
Publication Year :
2024

Abstract

Liquid crystal monomers (LCMs) are of emerging concern due to their ubiquitous presence in indoor and outdoor environments and their potential negative impacts on human health and ecosystems. Suspect screening approaches have been developed to monitor thousands of LCMs that could enter the environment, but an updated suspect list of LCMs is difficult to maintain given the rapid development of material innovations. To facilitate suspect screening for LCMs, in-silico mass fragmentation model and quantitative structure-activity relationship (QSPR) models were applied to predict electron ionization (EI) mass spectra of LCMs. The in-silico model showed limited predictive power for EI mass spectra, while the QSPR models trained with 437 published mass spectra of LCMs achieved an acceptable absolute error of 12 percentage points in predicting the relative intensity of the molecular ion, but failed to predict the mass-to-charge ratio of the base peak. A total of 41 characteristic structures were identified from an updated suspect list of 1606 LCMs. Multi-phenyl groups form the rigid cores of 85% of LCMs and produce 154 characteristic peaks in EI mass spectra. Monitoring the characteristic structures and fragments of LCMs may help identify new LCMs with the same rigid cores as those in the suspect list. [Display omitted] • A suspect list of 1606 LCMs is updated. • Multi-phenyl groups form the rigid cores of 85% of LCMs. • 41 characteristic structures representing rigid cores of LCMs were identified. • 154 characteristic ion peaks were identified in EI mass spectra of LCMs. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00456535
Volume :
358
Database :
Academic Search Index
Journal :
Chemosphere
Publication Type :
Academic Journal
Accession number :
177248285
Full Text :
https://doi.org/10.1016/j.chemosphere.2024.142210