基于单颗粒气溶胶质谱仪的气溶胶化学组分的半定量研究

张遥; 成春雷; 王在华; 袁明浩; 李梅; 张雪林; 苏柏江; 王新宇; 周振

doi:10.13471/j.cnki.acta.snus.2021B017

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基于单颗粒气溶胶质谱仪的气溶胶化学组分的半定量研究

研究论文 | 更新时间：2023-11-01

- 基于单颗粒气溶胶质谱仪的气溶胶化学组分的半定量研究
- Research on semi-quantification of aerosol chemical composition using a single particle aerosol mass spectrometer
- 中山大学学报(自然科学版)(中英文) 2022年61卷第3期页码：140-152
- 作者机构：
  
  1.暨南大学质谱仪器与大气环境研究所/广东省大气污染在线源解析系统工程技术研究中心/ 粤港澳环境质量协同创新联合实验室，广东广州 510632
  2.广东省科学院资源综合利用研究所，广东广州 510650
  3.郑州市环境保护监测中心站，河南郑州 450007
  4.广州禾信仪器股份有限公司，广东广州 510530
- 作者简介：
  
  张遥（1996年生），男；研究方向：单颗粒气溶胶质谱技术的开发与应用；E-mail： zhangyao9601@foxmail.com
  成春雷（1986年生），男；研究方向：大气化学；E-mail：chengcl@jnu.edu.cn
- 基金信息：
  
  广州经济技术开发区国际科技合作项目(2018GH08);2019年度广东省国际科技合作项目(2018A05056020);广东省企业科技特派员项目(GDKTP2020035200)
- DOI：10.13471/j.cnki.acta.snus.2021B017
  中图分类号： X51
- 纸质出版日期：2022-05-25，
  
  网络出版日期：2021-07-14，
  
  收稿日期：2021-03-26，
  
  录用日期：2021-04-29
扫描看全文
张遥,成春雷,王在华等.基于单颗粒气溶胶质谱仪的气溶胶化学组分的半定量研究[J].中山大学学报(自然科学版),2022,61(03):140-152.

ZHANG Yao,CHENG Chunlei,WANG Zaihua,et al.Research on semi-quantification of aerosol chemical composition using a single particle aerosol mass spectrometer[J].Acta Scientiarum Naturalium Universitatis Sunyatseni,2022,61(03):140-152.
张遥,成春雷,王在华等.基于单颗粒气溶胶质谱仪的气溶胶化学组分的半定量研究[J].中山大学学报(自然科学版),2022,61(03):140-152. DOI： 10.13471/j.cnki.acta.snus.2021B017.

ZHANG Yao,CHENG Chunlei,WANG Zaihua,et al.Research on semi-quantification of aerosol chemical composition using a single particle aerosol mass spectrometer[J].Acta Scientiarum Naturalium Universitatis Sunyatseni,2022,61(03):140-152. DOI： 10.13471/j.cnki.acta.snus.2021B017.

摘要

单颗粒气溶胶质谱仪（SPAMS，single particle aerosol mass spectrometer）可以实时、连续和高时间分辨率的提供单个气溶胶颗粒的粒径和化学组分信息，具有良好的定性能力。但，SPAMS对气溶胶化学组分的定量分析能力尚待评估。采用SPAMS结合滤膜采样的分析方法，于2017-12-01至2018-02-28日在郑州市高新区、航空港区和中原区展开观测，通过对比单颗粒中的元素碳(EC)、有机碳(OC)、硫酸盐、硝酸盐和铵盐的峰面积、数浓度与滤膜采集的质量浓度，以回归分析系数

https://html.publish.founderss.cn/rc-pub/api/common/picture?pictureId=49459791&type=

https://html.publish.founderss.cn/rc-pub/api/common/picture?pictureId=49459788&type=

4.48733330

2.96333337

评估了SPAMS对5种组分的定量能力。结果表明：EC单颗粒的数浓度和峰面积与其质量浓度的相关性始终很低

https://html.publish.founderss.cn/rc-pub/api/common/picture?pictureId=49459795&type=

https://html.publish.founderss.cn/rc-pub/api/common/picture?pictureId=49459793&type=

12.19200039

2.96333337

，说明尚无法通过相关性分析建立EC单颗粒与质量浓度的定量关系；OC单颗粒与质量浓度的相关性从低度到中度相关分布

https://html.publish.founderss.cn/rc-pub/api/common/picture?pictureId=49459813&type=

https://html.publish.founderss.cn/rc-pub/api/common/picture?pictureId=49459797&type=

19.89666748

2.96333337

，因此可通过优化OC单颗粒的特征离子选取标准，实现OC的半定量化分析；硫酸盐、硝酸盐和铵盐单颗粒与质量浓度都有中度以上的相关性

https://html.publish.founderss.cn/rc-pub/api/common/picture?pictureId=49459799&type=

https://html.publish.founderss.cn/rc-pub/api/common/picture?pictureId=49459816&type=

12.19200039

2.96333337

，可以通过相关性建立硫酸盐、硝酸盐和铵盐的半定量系数。三个站点各组分相关性对比结果表明：中原区各组分数浓度与质量浓度的相关性高于高新区和航空港区，且中原区测径颗粒数浓度与PM

2.5

质量浓度的相关性也显著高于其他两个采样点，因此测径颗粒数浓度与PM

2.5

质量浓度的相关性可能是评估SPAMS定量化结果好坏的前提条件。

Abstract

Single particle aerosol mass spectrometer （SPAMS） can provide real-time， continuous and high time resolution data about the size and chemical composition of single particles. The reliable qualitative capability of SPAMS has been widely used to determine the mixing state of atmospheric fine particles. However， the quantitative ability of SPAMS has not been fully evaluated. In this study， the measurement of SPAMS combined with filter sampling was used to conduct the quantitative evaluation of SPAMS in Zhengzhou from December 1， 2017 to February 28， 2018. The peak area and number concentration of elemental carbon (EC)， organic carbon (OC)， sulfate， nitrate and ammonium containing single particles were compared with the mass concentration measured by the filter membrane， and the regression analysis coefficient

https://html.publish.founderss.cn/rc-pub/api/common/picture?pictureId=49459820&type=

https://html.publish.founderss.cn/rc-pub/api/common/picture?pictureId=49459819&type=

5.67266655

3.38666677

between them is used to evaluate the quantitative ability of SPAMS for these five components. The results suggest that the number concentration and peak area of EC single particles have no correlation with its mass concentration

https://html.publish.founderss.cn/rc-pub/api/common/picture?pictureId=49459826&type=

https://html.publish.founderss.cn/rc-pub/api/common/picture?pictureId=49459823&type=

14.64733315

3.38666677

in three sampling sites， suggesting that the quantitative analysis of EC through SPAMS was not suitable under the current conditions. The correlation between OC single particles and its mass concentration ranges from low correlation to moderate correlation

https://html.publish.founderss.cn/rc-pub/api/common/picture?pictureId=49459828&type=

https://html.publish.founderss.cn/rc-pub/api/common/picture?pictureId=49459827&type=

23.70666695

3.38666677

， implying the semi-quantitative analysis of OC can be achieved by optimizing the classification criteria of OC particles. The sulfate‒， nitrate‒， and ammonium‒containing single particles all showed well correlation with their mass concentrations

https://html.publish.founderss.cn/rc-pub/api/common/picture?pictureId=49459831&type=

https://html.publish.founderss.cn/rc-pub/api/common/picture?pictureId=49459830&type=

14.73200035

3.38666677

， which indicates the semi-quantitative of sulfate， nitrate and ammonium through measurement of SPAMS can be established via the correlation coefficient with their ambient mass concentration. From the correlation results of the three sites， the correlation between the number concentration and the mass concentration of each components in Zhongyuan zone is higher than Gaoxin zone and Airport area， and the correlation between the number concentration and the PM

2.5

mass concentration in Zhongyuan zone is significantly higher than other two sampling sites， so the correlation between the number concentration and the PM

2.5

mass concentration may be a prerequisite for evaluating the quality of SPAMS quantitative results.

关键词

SPAMS定量研究元素碳有机碳无机离子

Keywords

SPAMSquantification researchelemental carbonorganic carboninorganic ions

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