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Title: Effects of aerosol size and coating thickness on the molecular detection using extractive electrospray ionization
Abstract. Extractive electrospray ionization (EESI) has been a well-knowntechnique for high-throughput online molecular characterization of chemicalreaction products and intermediates, detection of native biomolecules, invivo metabolomics, and environmental monitoring with negligible thermal andionization-induced fragmentation for over two decades. However, the EESIextraction mechanism remains uncertain. Prior studies disagree on whetherparticles between 20 and 400 nm diameter are fully extracted or if theextraction is limited to the surface layer. Here, we examined the analyteextraction mechanism by assessing the influence of particle size and coatingthickness on the detection of the molecules therein. We find that particlesare extracted fully: organics-coated NH4NO3 particles with afixed core volume (156 and 226 nm in diameter without coating) showedconstant EESI signals for NH4NO3 independent of the shell coatingthickness, while the signals of the secondary organic molecules comprisingthe shell varied proportionally to the shell volume. We also found that theEESI sensitivity exhibited a strong size dependence, with an increase insensitivity by 1–3 orders of magnitude as particle size decreasedfrom 300 to 30 nm. This dependence varied with the electrospray (ES)droplet size, the particle size and the residence time for coagulation in theEESI inlet, suggesting that the EESI sensitivity was influenced by thecoagulation coefficient between particles and ES droplets. Overall, ourresults indicate that, in more » the EESI, particles are fully extracted by the ESdroplets regardless of the chemical composition, when they are collected bythe ES droplets. However, their coalescence is not complete and dependsstrongly on their size. This size dependence is especially relevant whenEESI is used to probe size-varying particles as is the case in aerosolformation and growth studies with size ranges below 100 nm. « less
Authors:
; ; ; ; ; ; ; ; ; ; ; ; ; ;
Award ID(s):
1801897 1801574
Publication Date:
NSF-PAR ID:
10311363
Journal Name:
Atmospheric Measurement Techniques
Volume:
14
Issue:
9
ISSN:
1867-8548
Sponsoring Org:
National Science Foundation
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