Understanding atmospheric aerosol particles with improved particle identification and quantification by single-particle mass spectrometry
<p><strong>Abstract.</strong> Single-particle mass spectrometry (SPMS) is a widely used tool to determine chemical composition and mixing state of aerosol particles in the atmosphere. During a 6-week field campaign in summer 2016 at a rural site in the upper Rhine valley, near the...
Gespeichert in:
| Hauptverfasser: | , , , , , |
|---|---|
| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
10 Apr 2019
|
| In: |
Atmospheric measurement techniques
Year: 2019, Jahrgang: 12, Heft: 4, Pages: 2219-2240 |
| ISSN: | 1867-8548 |
| DOI: | 10.5194/amt-12-2219-2019 |
| Online-Zugang: | Verlag, Volltext: https://doi.org/10.5194/amt-12-2219-2019 Verlag, Volltext: https://www.atmos-meas-tech.net/12/2219/2019/ 
|
| Verfasserangaben: | Xiaoli Shen, Harald Saathoff, Wei Huang, Claudia Mohr, Ramakrishna Ramisetty, and Thomas Leisner |
MARC
| LEADER | 00000caa a2200000 c 4500 | ||
|---|---|---|---|
| 001 | 1671768663 | ||
| 003 | DE-627 | ||
| 005 | 20220816212852.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 190821s2019 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.5194/amt-12-2219-2019 |2 doi | |
| 035 | |a (DE-627)1671768663 | ||
| 035 | |a (DE-599)KXP1671768663 | ||
| 035 | |a (OCoLC)1341238328 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rda | ||
| 041 | |a eng | ||
| 084 | |a 29 |2 sdnb | ||
| 100 | 1 | |a Shen, Xiaoli |e VerfasserIn |0 (DE-588)1192347374 |0 (DE-627)1670688240 |4 aut | |
| 245 | 1 | 0 | |a Understanding atmospheric aerosol particles with improved particle identification and quantification by single-particle mass spectrometry |c Xiaoli Shen, Harald Saathoff, Wei Huang, Claudia Mohr, Ramakrishna Ramisetty, and Thomas Leisner |
| 264 | 1 | |c 10 Apr 2019 | |
| 300 | |a 22 | ||
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a Computermedien |b c |2 rdamedia | ||
| 338 | |a Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Gesehen am 21.08.2019 | ||
| 520 | |a <p><strong>Abstract.</strong> Single-particle mass spectrometry (SPMS) is a widely used tool to determine chemical composition and mixing state of aerosol particles in the atmosphere. During a 6-week field campaign in summer 2016 at a rural site in the upper Rhine valley, near the city of Karlsruhe in southwest Germany, <span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M1" display="inline" overflow="scroll" dspmath="mathml"><mrow><mo>∼</mo><mn mathvariant="normal">3.7</mn><mo>×</mo><msup><mn mathvariant="normal">10</mn><mn mathvariant="normal">5</mn></msup></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="55pt" height="13pt" class="svg-formula" dspmath="mathimg" md5hash="ecd9c994d0009e01f99b4b07902c042e"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="amt-12-2219-2019-ie00001.svg" width="55pt" height="13pt" src="amt-12-2219-2019-ie00001.png"/></svg:svg></span></span> single particles were analysed using a laser ablation aerosol particle time-of-flight mass spectrometer (LAAPTOF). Combining fuzzy classification, marker peaks, typical peak ratios, and laboratory-based reference spectra, seven major particle classes were identified. With the precise particle identification and well-characterized laboratory-derived overall detection efficiency (ODE) for this instrument, particle similarity can be transferred into corrected number and mass fractions without the need of a reference instrument in the field. Considering the entire measurement period, aged-biomass-burning and soil-dust-like particles dominated the particle number (45.0 % number fraction) and mass (31.8 % mass fraction); sodium-salt-like particles were the second lowest in number (3.4 %) but the second dominating class in terms of particle mass (30.1 %). This difference demonstrates the crucial role of particle number counts' correction for mass quantification using SPMS data. Using corrections for size-resolved and chemically resolved ODE, the total mass of the particles measured by LAAPTOF accounts for 23 %-68 % of the total mass measured by an aerosol mass spectrometer (AMS) depending on the measurement periods. These two mass spectrometers show a good correlation (Pearson's correlation coefficient <span class="inline-formula"><i>γ</i>>0.6</span>) regarding total mass for more than 85 % of the measurement time, indicating non-refractory species measured by AMS may originate from particles consisting of internally mixed non-refractory and refractory components. In addition, specific relationships of LAAPTOF ion intensities and AMS mass concentrations for non-refractory compounds were found for specific measurement periods, especially for the fraction of org <span class="inline-formula">∕</span> (org <span class="inline-formula">+</span> nitrate). Furthermore, our approach allows the non-refractory compounds measured by AMS to be assigned to different particle classes. Overall AMS nitrate mainly arose from sodium-salt-like particles, while aged-biomass-burning particles were dominant during events with high organic aerosol particle concentrations.</p> | ||
| 700 | 1 | |a Saathoff, Harald |e VerfasserIn |4 aut | |
| 700 | 1 | |a Huang, Wei |e VerfasserIn |4 aut | |
| 700 | 1 | |a Mohr, Claudia |e VerfasserIn |4 aut | |
| 700 | 1 | |a Ramisetty, Ramakrishna |e VerfasserIn |4 aut | |
| 700 | 1 | |a Leisner, Thomas |d 1961- |e VerfasserIn |0 (DE-588)131429825 |0 (DE-627)508786622 |0 (DE-576)298472392 |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t Atmospheric measurement techniques |d Katlenburg-Lindau : Copernicus, 2008 |g 12(2019), 4, Seite 2219-2240 |h Online-Ressource |w (DE-627)605214441 |w (DE-600)2505596-3 |w (DE-576)308906225 |x 1867-8548 |7 nnas |a Understanding atmospheric aerosol particles with improved particle identification and quantification by single-particle mass spectrometry |
| 773 | 1 | 8 | |g volume:12 |g year:2019 |g number:4 |g pages:2219-2240 |g extent:22 |a Understanding atmospheric aerosol particles with improved particle identification and quantification by single-particle mass spectrometry |
| 856 | 4 | 0 | |u https://doi.org/10.5194/amt-12-2219-2019 |x Verlag |x Resolving-System |3 Volltext |
| 856 | 4 | 0 | |u https://www.atmos-meas-tech.net/12/2219/2019/ |x Verlag |3 Volltext |
| 951 | |a AR | ||
| 992 | |a 20190821 | ||
| 993 | |a Article | ||
| 994 | |a 2019 | ||
| 998 | |g 131429825 |a Leisner, Thomas |m 131429825:Leisner, Thomas |d 130000 |e 130000PL131429825 |k 0/130000/ |p 6 |y j | ||
| 999 | |a KXP-PPN1671768663 |e 3507904195 | ||
| BIB | |a Y | ||
| SER | |a journal | ||
| JSO | |a {"physDesc":[{"extent":"22 S."}],"relHost":[{"physDesc":[{"extent":"Online-Ressource"}],"origin":[{"publisher":"Copernicus","dateIssuedKey":"2008","dateIssuedDisp":"2008-","publisherPlace":"Katlenburg-Lindau"}],"id":{"issn":["1867-8548"],"zdb":["2505596-3"],"eki":["605214441"]},"disp":"Understanding atmospheric aerosol particles with improved particle identification and quantification by single-particle mass spectrometryAtmospheric measurement techniques","type":{"bibl":"periodical","media":"Online-Ressource"},"note":["Gesehen am 26.10.10"],"recId":"605214441","corporate":[{"role":"isb","display":"European Geosciences Union","roleDisplay":"Herausgebendes Organ"}],"language":["eng"],"pubHistory":["1.2008 -"],"part":{"extent":"22","volume":"12","text":"12(2019), 4, Seite 2219-2240","pages":"2219-2240","issue":"4","year":"2019"},"titleAlt":[{"title":"AMT"}],"title":[{"subtitle":"AMT ; an interactive open access journal of the European Geosciences Union","title":"Atmospheric measurement techniques","title_sort":"Atmospheric measurement techniques"}]}],"origin":[{"dateIssuedDisp":"10 Apr 2019","dateIssuedKey":"2019"}],"id":{"doi":["10.5194/amt-12-2219-2019"],"eki":["1671768663"]},"name":{"displayForm":["Xiaoli Shen, Harald Saathoff, Wei Huang, Claudia Mohr, Ramakrishna Ramisetty, and Thomas Leisner"]},"type":{"media":"Online-Ressource","bibl":"article-journal"},"note":["Gesehen am 21.08.2019"],"language":["eng"],"recId":"1671768663","title":[{"title":"Understanding atmospheric aerosol particles with improved particle identification and quantification by single-particle mass spectrometry","title_sort":"Understanding atmospheric aerosol particles with improved particle identification and quantification by single-particle mass spectrometry"}],"person":[{"given":"Xiaoli","family":"Shen","role":"aut","roleDisplay":"VerfasserIn","display":"Shen, Xiaoli"},{"family":"Saathoff","given":"Harald","display":"Saathoff, Harald","roleDisplay":"VerfasserIn","role":"aut"},{"given":"Wei","family":"Huang","role":"aut","display":"Huang, Wei","roleDisplay":"VerfasserIn"},{"family":"Mohr","given":"Claudia","display":"Mohr, Claudia","roleDisplay":"VerfasserIn","role":"aut"},{"family":"Ramisetty","given":"Ramakrishna","display":"Ramisetty, Ramakrishna","roleDisplay":"VerfasserIn","role":"aut"},{"family":"Leisner","given":"Thomas","roleDisplay":"VerfasserIn","display":"Leisner, Thomas","role":"aut"}]} | ||
| SRT | |a SHENXIAOLIUNDERSTAND1020 | ||