Advanced Search
Impact Factor: 5.8

Volume 24 Issue 4

Jul.  2007

Article Contents
Article >  ADVANCES IN ATMOSPHERIC SCIENCES  > 2007 >  24(4): 679-687

Establishment and Evaluation of a Method for Analyzing Atmospheric Volatile Organic Compounds

  • 1.

    Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029,Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029,Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029,Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029,Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029


doi: 10.1007/s00376-007-0679-4

  • An automated cumulative sampling system and a method that combines a two-step cryo-concentrated system and gas chromatography/mass spectrometry (CCS-GC/MS) are introduced. The method is evaluated by a set of special experiments and the results are presented. The lowest measurement detection limit was expanded from 10-6 nmol mol-1 to 10-12 nmol mol-1 by using CCS-GC/MS instead of the simpler method of gas chromatography/mass spectrometry (GC/MS), with the average responsible factor of 39 object compounds being 2.9×10-12. When the volume of air sample reached 1000 cm3, the lowest detection limit reached up to 7×10-12--40×10-12 nmol mol-1. The CCS-GC/MS method can potentially identify all objective chemical species in an atmospheric sample, with an average 2.5 s bias error of retention time for 39 gas chromatography (GC) peaks. Within the range 0--400×10-9 nmol mol-1, the concentration of 39 kinds of objective compounds can be individually calculated very accurately by a standard curve [average r2 (coefficient of determination) value of above 0.99]. The recovery efficiency was 88%--111%, with an average of 100.8% ±5.6%. The bias error of precision was 2%--14%, with an average of 6.6%.
  • [1] ZHANG Jinqiang, XUAN Yuejian, YAN Xiaolu, LIU Mingyuan, TIAN Hongmin, XIA Xiang'ao, PANG Li, and ZHENG Xiangdong, 2014: Development and Preliminary Evaluation of a Double-cell Ozonesonde, ADVANCES IN ATMOSPHERIC SCIENCES, 31, 938-947.  doi: 10.1007/s00376-013-3104-1
    [2] Tido SEMMLER, Thomas JUNG, Marta A. KASPER, Soumia SERRAR, 2018: Using NWP to Assess the Influence of the Arctic Atmosphere on Midlatitude Weather and Climate, ADVANCES IN ATMOSPHERIC SCIENCES, 35, 5-13.  doi: 10.1007/s00376-017-6290-4
    [3] Saleh AMINYAVARI, Bahram SAGHAFIAN, Majid DELAVAR, 2018: Evaluation of TIGGE Ensemble Forecasts of Precipitation in Distinct Climate Regions in Iran, ADVANCES IN ATMOSPHERIC SCIENCES, 35, 457-468.  doi: 10.1007/s00376-017-7082-6
    [4] Jingpeng ZHANG, Tianbao ZHAO, Zhi LI, Chunxiang LI, Zhen LI, Kairan YING, Chunxiang SHI, Lipeng JIANG, Wenyu ZHANG, 2021: Evaluation of Surface Relative Humidity in China from the CRA-40 and Current Reanalyses, ADVANCES IN ATMOSPHERIC SCIENCES, 38, 1958-1976.  doi: 10.1007/s00376-021-0333-6
    [5] Jeong-Gyun PARK, Dong-Kyou LEE, 2011: Evaluation of Heavy Rainfall Model Forecasts over the Korean Peninsula Using Different Physical Parameterization Schemes and Horizontal Resolution, ADVANCES IN ATMOSPHERIC SCIENCES, 28, 1233-1245.  doi: 10.1007/s00376-011-0058-z
    [6] JIANG Dabang, WANG Huijun, LANG Xianmei, 2005: Evaluation of East Asian Climatology as Simulated by Seven Coupled Models, ADVANCES IN ATMOSPHERIC SCIENCES, 22, 479-495.  doi: 10.1007/BF02918482
    [7] WEN Xinyu, ZHOU Tianjun, WANG Shaowu, WANG Bin, WAN Hui, LI Jian, 2007: Performance of a Reconfigured Atmospheric General Circulation Model at Low Resolution, ADVANCES IN ATMOSPHERIC SCIENCES, 24, 712-728.  doi: 10.1007/s00376-007-0712-7
    [8] Sun Shufen, Xue Yongkang, 2001: Implementing a New Snow Scheme in Simplified Simple Biosphere Model, ADVANCES IN ATMOSPHERIC SCIENCES, 18, 335-354.  doi: 10.1007/BF02919314
    [9] YE Xingnan, CHEN Tianyi, HU Dawei, YANG Xin, CHEN Jianmin, ZHANG Renyi, Alexei F. KHAKUZIV, WANG Lin, 2009: A Multifunctional HTDMA System with a Robust Temperature Control, ADVANCES IN ATMOSPHERIC SCIENCES, 26, 1235-1240.  doi: 10.1007/s00376-009-8134-3
    [10] Yuyang GUO, Yongqiang YU, Pengfei LIN, Hailong LIU, Bian HE, Qing BAO, Bo AN, Shuwen ZHAO, Lijuan HUA, 2020: Simulation and Improvements of Oceanic Circulation and Sea Ice by the Coupled Climate System Model FGOALS-f3-L, ADVANCES IN ATMOSPHERIC SCIENCES, 37, 1133-1148.  doi: 10.1007/s00376-020-0006-x
    [11] Bai Jianhui, Wang Mingxing, Hu Fei, James P. Greenberg, Alex B. Guenther, 2002: Analyzing Method on Biogenic Volatile Organic Compounds, ADVANCES IN ATMOSPHERIC SCIENCES, 19, 64-72.  doi: 10.1007/s00376-002-0034-8
    [12] Yuhan LIU, Hongli WANG, Shengao JING, Ming ZHOU, Shenrong LOU, Kun QU, Wanyi QIU, Qian WANG, Shule LI, Yaqin GAO, Yusi LIU, Xiaobing LI, Zhong-Ren PENG, Junhui CHEN, Keding LU, 2021: Vertical Profiles of Volatile Organic Compounds in Suburban Shanghai, ADVANCES IN ATMOSPHERIC SCIENCES, 38, 1177-1187.  doi: 10.1007/s00376-021-0126-y
    [13] HAN Meng, LU Xueqiang, ZHAO Chunsheng, RAN Liang, HAN Suqin, 2015: Characterization and Source Apportionment of Volatile Organic Compounds in Urban and Suburban Tianjin, China, ADVANCES IN ATMOSPHERIC SCIENCES, 32, 439-444.  doi: 10.1007/s00376-014-4077-4
    [14] Shuang WU, Guiqian TANG, Yinghong WANG, Rong MAI, Dan YAO, Yanyu KANG, Qinglu WANG, Yuesi WANG, 2021: Vertical Evolution of Boundary Layer Volatile Organic Compounds in Summer over the North China Plain and the Differences with Winter, ADVANCES IN ATMOSPHERIC SCIENCES, 38, 1165-1176.  doi: 10.1007/s00376-020-0254-9
    [15] Jian SUN, Zhenxing SHEN, Yue ZHANG, Wenting DAI, Kun HE, Hongmei XU, Zhou ZHANG, Long CUI, Xuxiang LI, Yu HUANG, Junji CAO, 2021: Profiles and Source Apportionment of Nonmethane Volatile Organic Compounds in Winter and Summer in Xi’an, China, based on the Hybrid Environmental Receptor Model, ADVANCES IN ATMOSPHERIC SCIENCES, 38, 116-131.  doi: 10.1007/s00376-020-0153-0
    [16] Shaofeng LIU, Michael HINTZ, Xiaolong LI, 2016: Evaluation of Atmosphere-Land Interactions in an LES from the Perspective of Heterogeneity Propagation, ADVANCES IN ATMOSPHERIC SCIENCES, 33, 571-578.  doi: 10.1007/s00376-015-5212-6
    [17] Peter C. Chu, Chen Yuchun, Lu Shihua, 2001: Evaluation of Haney-Type Surface Thermal Boundary Conditions Using a Coupled Atmosphere and Ocean Model, ADVANCES IN ATMOSPHERIC SCIENCES, 18, 355-375.  doi: 10.1007/BF02919315
    [18] Efang ZHONG, Qian LI, Shufen SUN, Wen CHEN, Shangfeng CHEN, Debashis NATH, 2017: Improvement of a Snow Albedo Parameterization in the Snow-Atmosphere-Soil Transfer Model: Evaluation of Impacts of Aerosol on Seasonal Snow Cover, ADVANCES IN ATMOSPHERIC SCIENCES, 34, 1333-1345.  doi: 10.1007/s00376-017-7019-0
    [19] XIA Kun, WANG Bin, LI Lijuan, SHEN Si, HUANG Wenyu, XU Shiming, DONG Li, LIU Li, 2014: Evaluation of Snow Depth and Snow Cover Fraction Simulated by Two Versions of the Flexible Global Ocean-Atmosphere-Land System Model, ADVANCES IN ATMOSPHERIC SCIENCES, 31, 407-420.  doi: 10.1007/s00376-013-3026-y
    [20] Wei DU, Xinpei WANG, Fengqin YANG, Kaixu BAI, Can WU, Shijie LIU, Fanglin WANG, Shaojun LV, Yubao CHEN, Jinze WANG, Wenliang LIU, Lujun WANG, Xiaoyong CHEN, Gehui WANG, 2021: Particulate Amines in the Background Atmosphere of the Yangtze River Delta, China: Concentration, Size Distribution, and Sources, ADVANCES IN ATMOSPHERIC SCIENCES, 38, 1128-1140.  doi: 10.1007/s00376-021-0274-0
PDF

Get Citation+

shu
Export:  

Share Article

Article Metrics

Article Views: 1598 Times

PDF downloads: 1354 Times

Cited by: Times
  • 加载中

    • Manuscript History

    Manuscript received: 10 July 2007
    Manuscript revised: 10 July 2007
    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Establishment and Evaluation of a Method for Analyzing Atmospheric Volatile Organic Compounds

    • 1. Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029,Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029,Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029,Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029,Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029
    • Manuscript received: 2007-07-10
    • Manuscript revised: 2007-07-10

    Abstract: An automated cumulative sampling system and a method that combines a two-step cryo-concentrated system and gas chromatography/mass spectrometry (CCS-GC/MS) are introduced. The method is evaluated by a set of special experiments and the results are presented. The lowest measurement detection limit was expanded from 10-6 nmol mol-1 to 10-12 nmol mol-1 by using CCS-GC/MS instead of the simpler method of gas chromatography/mass spectrometry (GC/MS), with the average responsible factor of 39 object compounds being 2.9×10-12. When the volume of air sample reached 1000 cm3, the lowest detection limit reached up to 7×10-12--40×10-12 nmol mol-1. The CCS-GC/MS method can potentially identify all objective chemical species in an atmospheric sample, with an average 2.5 s bias error of retention time for 39 gas chromatography (GC) peaks. Within the range 0--400×10-9 nmol mol-1, the concentration of 39 kinds of objective compounds can be individually calculated very accurately by a standard curve [average r2 (coefficient of determination) value of above 0.99]. The recovery efficiency was 88%--111%, with an average of 100.8% ±5.6%. The bias error of precision was 2%--14%, with an average of 6.6%.

      HTML

    Catalog

      Publish with AAS

      Contact us

      Links

      Copyright © 2018-2028 ADVANCES IN ATMOSPHERIC SCIENCES 京ICP备14024088号-7

      Supported by: Beijing Renhe Information Technology Co. Ltd  support: info@rhhz.net  

      /

      DownLoad:  Full-Size Img  PowerPoint
      Return
      Return