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Matrix ions as internal standard for high mass accuracy MALDI mass spectrometry imaging

Title data

Treu, Axel ; Römpp, Andreas:
Matrix ions as internal standard for high mass accuracy MALDI mass spectrometry imaging.
In: Rapid Communications in Mass Spectrometry. (2021) .
ISSN 1097-0231
DOI: https://doi.org/10.1002/rcm.9110

Abstract in another language


High mass accuracy is indispensable for reliable identification in MALDI mass spectrometry (imaging). Ubiquitous matrix ions can serve as reference masses for mass calibration, if their sum formula is known. Here we report an overview of ions generated on tissue by eleven common MALDI matrices for use in internal or external mass calibration.

Matrices covered in this study were applied onto coronal mouse brain sections using a pneumatic sprayer setup. MALDI imaging was performed on a Q Exactive HF orbital trapping mass spectrometer coupled to an AP‐SMALDI 10 source. Measurements were conducted with high mass resolution (240k FWHM @ m/z 200) and high mass accuracy with an RMSE of better than 1.5 ppm achieved via internal mass calibration using matrix ions.

MALDI MS imaging was used to investigate ions generated on tissue by eleven common MALDI matrices. An example of using matrix ions for internal mass calibration in MALDI imaging of drug substances and lipids in murine lung sections is presented. Tables containing the cluster composition, sum formulas as well as the measured and theoretical m/z ratios of the identified ions were compiled for each matrix.

Using matrix ions as reference masses for internal and external mass calibration in MALDI MS imaging is an effective and elegant way to achieve sub ppm mass accuracy as it makes use of ubiquitous signals present in every MALDI MS spectrum without the need for an additional calibration standard.

Further data

Item Type: Article in a journal
Refereed: Yes
Institutions of the University: Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Biology > Chair Bioanalytical Sciences and Food Analytics > Chair Bioanalytical Sciences and Food Analytics - Univ.-Prof. Dr. Andreas Römpp
Graduate Schools > Bayreuth Graduate School of Mathematical and Natural Sciences (BayNAT) > Molecular Biosciences
Result of work at the UBT: Yes
DDC Subjects: 500 Science > 500 Natural sciences
500 Science > 540 Chemistry
500 Science > 570 Life sciences, biology
Date Deposited: 26 Apr 2021 12:48
Last Modified: 26 Apr 2021 12:48
URI: https://eref.uni-bayreuth.de/id/eprint/64929