Knowledge Management System of Hefei Institute of Physical Science,CAS
Application of a Self-developed Proton Transfer Reaction- Mass Spectrometer to On-line Monitoring Trace Volatile Organic Compounds in Ambient Air | |
其他题名 | Application of a Self-developed Proton Transfer Reaction- Mass Spectrometer to On-line Monitoring Trace Volatile Organic Compounds in Ambient Air |
2016-01-01 | |
发表期刊 | Chemical Research in Chinese Universities |
ISSN | 1005-9040 |
摘要 | Real-time and on-line monitoring volatile organic compounds(VOCs) are valuable for real-time evaluating air quality and monitoring the key source of pollution. A self-developed proton transfer reaction-mass spectrometer(PTR-MS) was constructed and applied to on-line monitoring trace VOCs in ambient air in Hefei, China. With the help of a self-developed catalytic converter, the background signal of the instrument was detected and the stability of the instrument was evaluated. The relative standard deviation of signal at m/z 21 was only 0.74% and the detection limit of PTR-MS was 97 part per trillion(97×10~(–12), volume ratio). As a case of the air monitoring in Hefei, the ambient air at Dongpu reservoir spot was on-line monitored for 13 d with our self-developed PTR-MS. Meanwhile, a solid-phase micro-extraction(SPME) technique coupled to gas chromatography-mass spectrometry/mass spectrometry (GC-MS/MS) was also used for the off-line detection of the air. The results show that our self-developed PTR-MS can be used for the on-line and long-term monitoring of VOCs in air at part per trillion level, and the change trend of VOCs concentration monitored with PTR-MS was consistent with that detected with the conventional SPME-GC-MS. This self-developed PTR-MS can fully satisfy the requirements of air quality monitoring and real-time monitoring of the key pollution sources. |
其他摘要 | Real-time and on-line monitoring volatile organic compounds(VOCs) are valuable for real-time evaluating air quality and monitoring the key source of pollution. A self-developed proton transfer reaction-mass spectrometer(PTR-MS) was constructed and applied to on-line monitoring trace VOCs in ambient air in Hefei, China. With the help of a self-developed catalytic converter, the background signal of the instrument was detected and the stability of the instrument was evaluated. The relative standard deviation of signal at m/z 21 was only 0.74% and the detection limit of PTR-MS was 97 part per trillion(97×10~(–12), volume ratio). As a case of the air monitoring in Hefei, the ambient air at Dongpu reservoir spot was on-line monitored for 13 d with our self-developed PTR-MS. Meanwhile, a solid-phase micro-extraction(SPME) technique coupled to gas chromatography-mass spectrometry/mass spectrometry (GC-MS/MS) was also used for the off-line detection of the air. The results show that our self-developed PTR-MS can be used for the on-line and long-term monitoring of VOCs in air at part per trillion level, and the change trend of VOCs concentration monitored with PTR-MS was consistent with that detected with the conventional SPME-GC-MS. This self-developed PTR-MS can fully satisfy the requirements of air quality monitoring and real-time monitoring of the key pollution sources. |
关键词 | Proton transfer reaction-mass spectrometry Volatile organic compound(VOC) On-line monitoring |
收录类别 | CSCD |
语种 | 英语 |
CSCD记录号 | CSCD:5775831 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.hfcas.ac.cn:8080/handle/334002/63234 |
专题 | 中国科学院合肥物质科学研究院 |
推荐引用方式 GB/T 7714 | . Application of a Self-developed Proton Transfer Reaction- Mass Spectrometer to On-line Monitoring Trace Volatile Organic Compounds in Ambient Air[J]. Chemical Research in Chinese Universities,2016,32. |
APA | (2016).Application of a Self-developed Proton Transfer Reaction- Mass Spectrometer to On-line Monitoring Trace Volatile Organic Compounds in Ambient Air.Chemical Research in Chinese Universities,32. |
MLA | "Application of a Self-developed Proton Transfer Reaction- Mass Spectrometer to On-line Monitoring Trace Volatile Organic Compounds in Ambient Air".Chemical Research in Chinese Universities 32(2016). |
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