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Quantitative Distributions of Product Ions and Reaction Times with a Binary Mixture of VOCs in Ambient Pressure Chemical Ionization

[Image: see text] A model to quantitatively predict ion abundances from atmospheric pressure chemical ionization (APCI) between hydrated protons and a volatile organic compound (VOC) was extended to binary mixtures of VOCs. The model includes differences in vapor concentrations, rate coefficients, a...

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Autores principales: Lattouf, Elie, Anttalainen, Osmo, Hecht, Oliver, Ungethüm, Bert, Kotiaho, Tapio, Hakulinen, Hanna, Vanninen, Paula, Eiceman, Gary
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2023
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10401699/
https://www.ncbi.nlm.nih.gov/pubmed/37452772
http://dx.doi.org/10.1021/jasms.3c00189
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author Lattouf, Elie
Anttalainen, Osmo
Hecht, Oliver
Ungethüm, Bert
Kotiaho, Tapio
Hakulinen, Hanna
Vanninen, Paula
Eiceman, Gary
author_facet Lattouf, Elie
Anttalainen, Osmo
Hecht, Oliver
Ungethüm, Bert
Kotiaho, Tapio
Hakulinen, Hanna
Vanninen, Paula
Eiceman, Gary
author_sort Lattouf, Elie
collection PubMed
description [Image: see text] A model to quantitatively predict ion abundances from atmospheric pressure chemical ionization (APCI) between hydrated protons and a volatile organic compound (VOC) was extended to binary mixtures of VOCs. The model includes differences in vapor concentrations, rate coefficients, and reaction times and is enhanced with cross reactions between neutral vapors and protonated monomers. In this model, two specific VOCs were considered, a ketone, 6-methyl-5-hepten-2-one (M, and an amine, 2,6-di-tert-butyl-pyridine (N), with measured “conditional rate coefficients” (in cm(3)·s(–1)) of k(M) = 1.11 × 10(–9) and k(N) = 9.17 × 10(–10), respectively. The cross reaction of MH(+)(H(2)O)(x) to NH(+)(H(2)O)(y) was measured as k(cr) = 1.31 × 10(–12) at 60 °C. Cross reactions showed an impact on ion abundances at t > 30 ms for equal vapor concentrations of 100 ppb for M and N. In contrast, this impact was negligible for vapor concentrations of 1 ppb and did not exceed 5% change in product ion abundance up to 1000 ms reaction times. The model was validated with laboratory measurements to within ∼10% using an ion mobility spectrometer and effective reaction time obtained from computational fitting of experimental findings. This was necessitated by complex flow patterns in the ion source volume and was determined as ∼10.5 ms. The model has interpretative and predictive value for quantitative analysis of responses with ambient pressure ion sources for mass spectrometry and ion mobility spectrometry.
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spelling pubmed-104016992023-08-05 Quantitative Distributions of Product Ions and Reaction Times with a Binary Mixture of VOCs in Ambient Pressure Chemical Ionization Lattouf, Elie Anttalainen, Osmo Hecht, Oliver Ungethüm, Bert Kotiaho, Tapio Hakulinen, Hanna Vanninen, Paula Eiceman, Gary J Am Soc Mass Spectrom [Image: see text] A model to quantitatively predict ion abundances from atmospheric pressure chemical ionization (APCI) between hydrated protons and a volatile organic compound (VOC) was extended to binary mixtures of VOCs. The model includes differences in vapor concentrations, rate coefficients, and reaction times and is enhanced with cross reactions between neutral vapors and protonated monomers. In this model, two specific VOCs were considered, a ketone, 6-methyl-5-hepten-2-one (M, and an amine, 2,6-di-tert-butyl-pyridine (N), with measured “conditional rate coefficients” (in cm(3)·s(–1)) of k(M) = 1.11 × 10(–9) and k(N) = 9.17 × 10(–10), respectively. The cross reaction of MH(+)(H(2)O)(x) to NH(+)(H(2)O)(y) was measured as k(cr) = 1.31 × 10(–12) at 60 °C. Cross reactions showed an impact on ion abundances at t > 30 ms for equal vapor concentrations of 100 ppb for M and N. In contrast, this impact was negligible for vapor concentrations of 1 ppb and did not exceed 5% change in product ion abundance up to 1000 ms reaction times. The model was validated with laboratory measurements to within ∼10% using an ion mobility spectrometer and effective reaction time obtained from computational fitting of experimental findings. This was necessitated by complex flow patterns in the ion source volume and was determined as ∼10.5 ms. The model has interpretative and predictive value for quantitative analysis of responses with ambient pressure ion sources for mass spectrometry and ion mobility spectrometry. American Chemical Society 2023-07-15 /pmc/articles/PMC10401699/ /pubmed/37452772 http://dx.doi.org/10.1021/jasms.3c00189 Text en © 2023 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by/4.0/Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Lattouf, Elie
Anttalainen, Osmo
Hecht, Oliver
Ungethüm, Bert
Kotiaho, Tapio
Hakulinen, Hanna
Vanninen, Paula
Eiceman, Gary
Quantitative Distributions of Product Ions and Reaction Times with a Binary Mixture of VOCs in Ambient Pressure Chemical Ionization
title Quantitative Distributions of Product Ions and Reaction Times with a Binary Mixture of VOCs in Ambient Pressure Chemical Ionization
title_full Quantitative Distributions of Product Ions and Reaction Times with a Binary Mixture of VOCs in Ambient Pressure Chemical Ionization
title_fullStr Quantitative Distributions of Product Ions and Reaction Times with a Binary Mixture of VOCs in Ambient Pressure Chemical Ionization
title_full_unstemmed Quantitative Distributions of Product Ions and Reaction Times with a Binary Mixture of VOCs in Ambient Pressure Chemical Ionization
title_short Quantitative Distributions of Product Ions and Reaction Times with a Binary Mixture of VOCs in Ambient Pressure Chemical Ionization
title_sort quantitative distributions of product ions and reaction times with a binary mixture of vocs in ambient pressure chemical ionization
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10401699/
https://www.ncbi.nlm.nih.gov/pubmed/37452772
http://dx.doi.org/10.1021/jasms.3c00189
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