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- W4229456443 abstract "<strong class=journal-contentHeaderColor>Abstract.</strong> We present an electrical mobility classifier for massâmobility measurements of atmospheric ions. Size segregation coupled with mass spectrometric detection of naturally occurring ions in the atmosphere is challenging due to the low ion concentration. Conventional electrical mobility classifying devices were not yet coupled with mass spectrometry to resolve natural ion composition. This is due to either the insufficient transmission efficiency or design concepts being incompatible with this application, e.g. using high electric fields close to the inlets to push ions from high to low electric potential. Here, we introduce an axial ion mobility classifier, termed AMC, with the aim to achieve higher transmission efficiencies to segregate natural ions at reasonable sizing resolution. Similar to the recently introduced principle of the high-pass electrical mobility filter (HP-EMF) presented by Bezantakos et al. (2015) and Surawski et al. (2017), ions are classified via an electric field that is opposed to the gas flow direction carrying the ions. Compared to the HP-EMF concept, we make use of sheath flows to improve the size resolution in the sub-3ânm range. With our new design we achieve a sizing resolution of 7â<span class=inline-formula><math xmlns=http://www.w3.org/1998/Math/MathML id=M1 display=inline overflow=scroll dspmath=mathml><mrow><mi>Z</mi><mo>/</mo><mi mathvariant=normal>Î</mi><mi>Z</mi></mrow></math><span><svg:svg xmlns:svg=http://www.w3.org/2000/svg width=31pt height=14pt class=svg-formula dspmath=mathimg md5hash=5e9cf73acef5e6898a67609ed9a8d3a8><svg:image xmlns:xlink=http://www.w3.org/1999/xlink xlink:href=amt-15-3705-2022-ie00001.svg width=31pt height=14pt src=amt-15-3705-2022-ie00001.png/></svg:svg></span></span> with a transmission efficiency of about 70â%." @default.
- W4229456443 created "2022-05-11" @default.
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- W4229456443 date "2022-05-10" @default.
- W4229456443 modified "2023-09-26" @default.
- W4229456443 title "Reply on RC1" @default.
- W4229456443 doi "https://doi.org/10.5194/amt-2022-29-ac1" @default.
- W4229456443 hasPublicationYear "2022" @default.
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