Accurate mass measurement: Terminology and treatment of data
| Autor: | A. Gareth Brenton, A. Ruth Godfrey |
|---|---|
| Rok vydání: | 2010 |
| Předmět: |
Chemical Phenomena
Databases Factual Relation (database) Chemical nomenclature Analytical chemistry Mass spectrometry Orbitrap 01 natural sciences Mass Spectrometry Terminology law.invention Set (abstract data type) 03 medical and health sciences Structural Biology law Terminology as Topic Instrumentation (computer programming) Spectroscopy 030304 developmental biology Ions Structure (mathematical logic) 0303 health sciences Information retrieval Chemistry 010401 analytical chemistry 0104 chemical sciences Vocabulary Controlled Data Interpretation Statistical Database Management Systems |
| Zdroj: | Journal of the American Society for Mass Spectrometry. 21:1821-1835 |
| ISSN: | 1044-0305 |
| DOI: | 10.1016/j.jasms.2010.06.006 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full text from SpringerLink