Statistical Approach To Understand MALDI-TOFMS Matrices:  Discovery and Evaluation of New MALDI Matrices

Meier, Michael A. R., Adams, Nico, and Schubert, Ulrich S. (2007) Statistical Approach To Understand MALDI-TOFMS Matrices:  Discovery and Evaluation of New MALDI Matrices. Analytical Chemistry, 79. pp. 863-869.

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A statistical approach is described to better understand the role of the matrix during a MALDI-TOFMS experiment. Potential matrix molecules were selected based on a rational experimental design and subsequently screened in order to investigate whether a certain compound can act as a matrix for synthetic polymers. The tested compounds were selected from a pool of 11 000 molecules based on descriptor calculations and a subsequent D-optimal design selection procedure. This approach selected 59 organic compounds that were then investigated for their ability to act a matrix for synthetic polymers in MALDI-TOFMS experiments. Within this contribution, we focus on the discussion of new MALDI-TOFMS matrixes that were discovered in the course of the screening. At least 10 new matrices were identified, and 5 of these were subsequently tested more closely with a variety of different synthetic polymers of different molecular weights revealing good to excellent performance of these new matrices.

Item ID: 74846
Item Type: Article (Research - C1)
ISSN: 1520-6882
Copyright Information: Copyright © 2007 American Chemical Society.
Date Deposited: 21 Mar 2024 01:39
FoR Codes: 34 CHEMICAL SCIENCES > 3401 Analytical chemistry > 340101 Analytical spectrometry @ 70%
34 CHEMICAL SCIENCES > 3407 Theoretical and computational chemistry > 340799 Theoretical and computational chemistry not elsewhere classified @ 30%
SEO Codes: 28 EXPANDING KNOWLEDGE > 2801 Expanding knowledge > 280105 Expanding knowledge in the chemical sciences @ 100%
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