Journal article 1413 views
Accurate Mass Measurement: Terminology and Treatment of Data
Anthony Brenton 
,
Ruth Godfrey
,
Ruth Godfrey
Journal of the American Society for Mass Spectrometry
Swansea University Authors:
Anthony Brenton , Ruth Godfrey
Full text not available from this repository: check for access using links below.
DOI (Published version): 10.1016/j.jasms.2010.06.006
Abstract
High-resolution mass spectrometry has become ever more accessible with improvements in instrumentation, such as modern FT-ICR and Orbitrap mass spectrometers. This has resulted in an increase in the number of articles submitted for publication quoting accurate mass data. There is a plethora of terms...
| Published in: | Journal of the American Society for Mass Spectrometry |
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| ISSN: | 1044-0305 |
| Published: |
Elsevier (now Springer)
2010
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| Online Access: |
Check full text
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa6116 |
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| Abstract: |
High-resolution mass spectrometry has become ever more accessible with improvements in instrumentation, such as modern FT-ICR and Orbitrap mass spectrometers. This has resulted in an increase in the number of articles submitted for publication quoting accurate mass data. There is a plethora of terms related to accurate mass analysis that are in current usage, many employed incorrectly or inconsistently. This article is based on a set of notes prepared by the authors for research students and staff in our laboratories as a guide to the correct terminology and basic statistical procedures to apply in relation to mass measurement, particularly for accurate mass measurement. It elaborates on the editorial by Gross in 1994 regarding the use of accurate masses for structure confirmation [1]. We have presented and defined the main terms in use with reference to the International Union of Pure and Applied Chemistry (IUPAC) recommendations for nomenclature and symbolism for mass spectrometry. The correct use of statistics and treatment of data is illustrated as a guide to new and existing mass spectrometry users with a series of examples as well as statistical methods to compare different experimental methods and datasets. |
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| College: |
Faculty of Medicine, Health and Life Sciences |