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在线单颗粒气溶胶质谱SPAMS对细颗粒物中主要组分提取方法的研究
引用本文:付怀于,闫才青,郑玫,蔡靖,李小滢,张延君,周振,傅忠,李梅,李磊,张远航.在线单颗粒气溶胶质谱SPAMS对细颗粒物中主要组分提取方法的研究[J].环境科学,2014,35(11):4070-4077.
作者姓名:付怀于  闫才青  郑玫  蔡靖  李小滢  张延君  周振  傅忠  李梅  李磊  张远航
作者单位:1. 北京大学环境科学与工程学院,环境模拟与污染控制国家重点联合实验室,北京 100871
2. 暨南大学大气环境安全与污染控制研究所,广州,510632
3. 广州禾信分析仪器有限公司,广州,510530
基金项目:国家自然科学基金创新研究群体项目,国家自然科学基金重大项目,环境模拟与污染控制国家重点实验室开放基金
摘    要:在对美国气溶胶飞行时间质谱仪(aerosol time-of-flight mass spectrometer,ATOFMS)和中国单颗粒气溶胶质谱仪(single particle aerosol mass spectrometer,SPAMS)前期研究调研的基础上,总结并比较了国内外飞行时间质谱(time-of-flight mass spectrometry,TOF-MS)研究中含硫酸盐、硝酸盐、铵盐、有机碳(OC)和元素碳(EC)等5种主要组分颗粒的典型提取条件.结合SPAMS单颗粒谱图的特点,本研究通过限定示踪离子,对5种主要组分的提取方法进行改进,提出了新的SPAMS组分示踪离子提取方法.以北京市2013年1月SPAMS实测数据为例,对不同提取方法的结果进行对比分析.并将本研究方法 SPAMS主要组分结果与离线滤膜样品的实验数据进行对比,验证了本研究所提出的优化方案的合理性.同时指出SPAMS在未来的应用研究中需考虑的因素及进一步深入的研究方向.

关 键 词:单颗粒气溶胶质谱仪  硫酸盐  硝酸盐  铵盐  有机碳  无机碳  定性方法
收稿时间:2014/3/19 0:00:00
修稿时间:2014/6/13 0:00:00

Application of On-line Single Particle Aerosol Mass Spectrometry (SPAMS) for Studying Major Components in Fine Particulate Matter
FU Huai-yu,YAN Cai-qing,ZHENG Mei,CAI Jing,LI Xiao-ying,ZHANG Yan-jun,ZHOU Zhen,FU Zhong,LI Mei,LI Lei and ZHANG Yuan-hang.Application of On-line Single Particle Aerosol Mass Spectrometry (SPAMS) for Studying Major Components in Fine Particulate Matter[J].Chinese Journal of Environmental Science,2014,35(11):4070-4077.
Authors:FU Huai-yu  YAN Cai-qing  ZHENG Mei  CAI Jing  LI Xiao-ying  ZHANG Yan-jun  ZHOU Zhen  FU Zhong  LI Mei  LI Lei and ZHANG Yuan-hang
Institution:State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China;State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China;State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China;State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China;State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China;State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China;Atmospheric Environment Institute of Safety and Pollution Control, Jinan University, Guangzhou 510632, China;Guangzhou Hexin Analytical Instrument Company Limited, Guangzhou 510530, China;Atmospheric Environment Institute of Safety and Pollution Control, Jinan University, Guangzhou 510632, China;Guangzhou Hexin Analytical Instrument Company Limited, Guangzhou 510530, China;State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
Abstract:Based on preliminary studies by aerosol time-of-flight mass spectrometer (ATOFMS) and single particle aerosol mass spectrometer (SPAMS), typical methods for identifying the number of particles (or particle count) for five major components including sulfate, nitrate, ammonium, organic carbon (OC), and elemental carbon (EC) in China and abroad were summarized. In this study, combined with the characteristics of single particle mass spectrum by SPAMS, an optimized method is proposed. With field measurement using SPAMS during January 2013 in Beijing, particle counts of sulfate, nitrate, ammonium, OC, and EC determined by different methods were compared. The comparison with results of off-line filter analyses for these five components proved that the method proposed in this study is comparable and optimized. We also suggest factors needed to be considered in future application of SPAMS and other areas that require in-depth research.
Keywords:single particle aerosol mass spectrometer(SPAMS)  sulfate  nitrate  ammonium  organic carbon  elemental carbon  qualitative method
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