A simple algorithm improves mass accuracy to 50-100 ppm for delayed extraction linear matrix-assisted laser desorption/ionization time-of-flight mass spectrometry.
Rapid Commun Mass Spectrom
; 16(13): 1304-12, 2002.
Article
en En
| MEDLINE
| ID: mdl-12112258
A simple mathematical technique for improving mass calibration accuracy of linear delayed extraction matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (DE MALDI-TOFMS) spectra is presented. The method involves fitting a parabola to a plot of Delta(m) vs. mass data where Delta(m) is the difference between the theoretical mass of calibrants and the mass obtained from a linear relationship between the square root of m/z and ion time of flight. The quadratic equation that describes the parabola is then used to correct the mass of unknowns by subtracting the deviation predicted by the quadratic equation from measured data. By subtracting the value of the parabola at each mass from the calibrated data, the accuracy of mass data points can be improved by factors of 10 or more. This method produces highly similar results whether or not initial ion velocity is accounted for in the calibration equation; consequently, there is no need to depend on that uncertain parameter when using the quadratic correction. This method can be used to correct the internally calibrated masses of protein digest peaks. The effect of nitrocellulose as a matrix additive is also briefly discussed, and it is shown that using nitrocellulose as an additive to the alpha-cyano-4-hydroxycinnamic acid (alphaCHCA) matrix does not significantly change initial ion velocity but does change the average position of ions relative to the sample electrode at the instant the extraction voltage is applied.
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Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Algoritmos
/
Espectrometría de Masa por Láser de Matriz Asistida de Ionización Desorción
Tipo de estudio:
Prognostic_studies
Límite:
Animals
Idioma:
En
Revista:
Rapid Commun Mass Spectrom
Año:
2002
Tipo del documento:
Article
País de afiliación:
Estados Unidos
Pais de publicación:
Reino Unido