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Accurate Detection of G-Series Agent Simulants by Pseudo-Multiple Reaction Monitoring on Miniature LIT-MS.
Li, Baoqiang; Chen, Meng; Zhang, Zhongyao; Wei, Wenlu; Li, Cuiping.
Afiliação
  • Li B; State key laboratory of NBC Protection for Civilian, 102205 Beijing, China.
  • Chen M; State key laboratory of NBC Protection for Civilian, 102205 Beijing, China.
  • Zhang Z; State key laboratory of NBC Protection for Civilian, 102205 Beijing, China.
  • Wei W; State key laboratory of NBC Protection for Civilian, 102205 Beijing, China.
  • Li C; State key laboratory of NBC Protection for Civilian, 102205 Beijing, China.
J Am Soc Mass Spectrom ; 35(5): 883-889, 2024 May 01.
Article em En | MEDLINE | ID: mdl-38532278
ABSTRACT
Rapid and accurate on-site detection of chemical warfare agents (CWAs) could defend military and civilian populations against current and emerging chemical weapons. With the development of ambient ionization and linear ion trap technology, the rapid and accurate quantitative determination method of CWAs based on direct ionization and multistage mass spectrometry has attracted widespread attention. In this study, a microliter electrospray ionization-miniature linear ion trap mass spectrometry (LIT-MS) instrument was designed and constructed, and the effects of quadrupole enhanced dipole resonance excitation on the resolution and sensitivity were investigated; consequently, the parameters of CWAs detection were optimized. Based on the broad time-frequency ion excitation technology, accurate multiple reaction monitoring (MRM) quantitative analysis of DMMP (G-series agent simulants, m/z 125 → m/z 93) was obtained. The linear correlation coefficient in the concentration range of 1 to 20 µg/mL could reach 99.02%, and the relative standard deviations (RSD) of continuous repeatability, interday repeatability, and intraday repeatability were all less than 10%. The results showed that the accurate pseudo-MRM detection method based on miniature linear ion trap mass spectrometry for CWAs detection was feasible.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article