scholarly journals Plate‐height model of ion mobility‐mass spectrometry. Part 2. Peak‐to‐peak resolution and peak capacity

Author(s):  
Márkó Grabarics ◽  
Maike Lettow ◽  
Ansgar T. Kirk ◽  
Gert Helden ◽  
Tim J. Causon ◽  
...  
The Analyst ◽  
2020 ◽  
Vol 145 (19) ◽  
pp. 6313-6333
Author(s):  
Márkó Grabarics ◽  
Maike Lettow ◽  
Ansgar T. Kirk ◽  
Gert von Helden ◽  
Tim J. Causon ◽  
...  

In analogy to chromatography, a plate-height model of drift tube ion mobility-mass spectrometry is presented that describes zone broadening and resolving power in ion mobility separations.


2002 ◽  
Vol 782 (1-2) ◽  
pp. 385-392 ◽  
Author(s):  
Brandon T. Ruotolo ◽  
Kent J. Gillig ◽  
Earle G. Stone ◽  
David H. Russell

2020 ◽  
Author(s):  
Depanjan Sarkar ◽  
Drupad Trivedi ◽  
Eleanor Sinclair ◽  
Sze Hway Lim ◽  
Caitlin Walton-Doyle ◽  
...  

Parkinson’s disease (PD) is the second most common neurodegenerative disorder for which identification of robust biomarkers to complement clinical PD diagnosis would accelerate treatment options and help to stratify disease progression. Here we demonstrate the use of paper spray ionisation coupled with ion mobility mass spectrometry (PSI IM-MS) to determine diagnostic molecular features of PD in sebum. PSI IM-MS was performed directly from skin swabs, collected from 34 people with PD and 30 matched control subjects as a training set and a further 91 samples from 5 different collection sites as a validation set. PSI IM-MS elucidates ~ 4200 features from each individual and we report two classes of lipids (namely phosphatidylcholine and cardiolipin) that differ significantly in the sebum of people with PD. Putative metabolite annotations are obtained using tandem mass spectrometry experiments combined with accurate mass measurements. Sample preparation and PSI IM-MS analysis and diagnosis can be performed ~5 minutes per sample offering a new route to for rapid and inexpensive confirmatory diagnosis of this disease.


2021 ◽  
Vol 52 (1) ◽  
pp. 1444-1447
Author(s):  
Hirotaka Shioji ◽  
Azusa Uematsu ◽  
Motoshi Onoda ◽  
Keiko Matsuda ◽  
Keisuke Sawada ◽  
...  

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