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[Rapid determination of volatile organic compounds in workplace air by protable gas chromatography-mass spectrometer].
Zhu, H B; Su, C J; Tang, H F; Ruan, Z; Liu, D H; Wang, H; Qian, Y L.
Afiliação
  • Zhu HB; Zhejiang Academy of Medical Sciences, Hangzhou 310013, China.
Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi ; 35(10): 777-780, 2017 Oct 20.
Article em Zh | MEDLINE | ID: mdl-29294558
ABSTRACT

Objective:

To establish a method for rapid determination of 47 volatile organic compounds in the air of workplace using portable gas chromatography-mass spectrometer(GC-MS).

Methods:

The mixed standard gas with different concentration levels was made by using the static gas distribution method with the high purity nitrogen as dilution gas. The samples were injected into the GC-MS by a hand-held probe. Retention time and characteristic ion were used for qualitative analysis,and the internal standard method was usd for quantitation.

Results:

The 47 poisonous substances were separated and determined well. The linear range of this method was 0.2-16.0 mg/m(3),and the relative standard deviation of 45 volatile ovganic compounds was 3.8%-15.8%. The average recovery was 79.3%-119.0%.

Conclusion:

The method is simple,accurate,sensitive,has good separation effect,short analysis period, can be used for qualitative and quantitative analysis of volatile organic compounds in the workplace, and also supports the rapid identification and detection of occupational hazards.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Local de Trabalho / Poluentes Ocupacionais do Ar / Compostos Orgânicos Voláteis / Cromatografia Gasosa-Espectrometria de Massas Tipo de estudo: Prognostic_studies / Qualitative_research Limite: Humans Idioma: Zh Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Local de Trabalho / Poluentes Ocupacionais do Ar / Compostos Orgânicos Voláteis / Cromatografia Gasosa-Espectrometria de Massas Tipo de estudo: Prognostic_studies / Qualitative_research Limite: Humans Idioma: Zh Ano de publicação: 2017 Tipo de documento: Article