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In the present work, the advantages of ESI-TIMS-FT-ICR MS to address the isomeric content of dissolved organic matter are studied. While the MS spectra allowed the observation of a high number of peaks ( e.g. , PAN-L: 5004 and PAN-S: 4660), over 4× features were observed in the IMS-MS domain ( e.g. , PAN-L: 22 015 and PAN-S: 20 954). Assuming a total general formula of C x H y N 0–3 O 0–19 S 0–1 , 3066 and 2830 chemical assignments were made in a single infusion experiment for PAN-L and PAN-S, respectively. Most of the identified chemical compounds (∼80%) corresponded to highly conjugated oxygen compounds (O 1 –O 20 ). ESI-TIMS-FT-ICR MS provided a lower estimate of the number of structural and conformational isomers ( e.g. , an average of 6–10 isomers per chemical formula were observed). Moreover, ESI-q-FT-ICR MS/MS at the level of nominal mass ( i.e. , 1 Da isolation) allowed for further estimation of the number of isomers based on unique fragmentation patterns and core fragments; the later suggested that multiple structural isomers could have very closely related CCS. These studies demonstrate the need for ultrahigh resolution TIMS mobility scan functions ( e.g. , R = 200–500) in addition to tandem MS/MS isolation strategies.
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Fast Exact Computation of the k Most Abundant Isotope Peaks with Layer-Ordered Heaps
Computation of the isotopic distribution of compounds is crucial to applications of mass spectrometry, particularly as machine precision continues to improve. In the past decade, several tools have been created for doing so. In this paper we present a novel algorithm for calculating either the most abundant k isotopologue peaks of a compound or the minimal set of isotopologue peaks which have a combined total abundance of at least p. The algorithm uses Serang’s optimal method of selection on Cartesian products. The method is significantly faster than the state-of-the-art on large compounds (e.g., Titin protein) and on compounds whose elements have many isotopes (e.g., palladium alloys).
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- Award ID(s):
- 1845465
- PAR ID:
- 10232266
- Date Published:
- Journal Name:
- Analytical chemistry
- Volume:
- 92
- Issue:
- 15
- ISSN:
- 0003-2700
- Page Range / eLocation ID:
- 10613–10619
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
-
Accepted Manuscript1.0
- Journal Article:
- https://doi.org/10.1021/acs.analchem.0c01670
