New Matrix Compounds for the Detection of Carboxyl-Containing Nonsteroidal Anti-Inflammatory Drugs by MALDI Mass Spectrometry

New Matrix Compounds for the Detection of Carboxyl-Containing Nonsteroidal Anti-Inflammatory Drugs by MALDI Mass Spectrometry

The possibility of employing the method of mass spectrometry with matrix-assisted laser desorption/ionization (MALDI) for the rapid detection of carboxyl-containing nonsteroidal anti-inflammatory drugs has been studied. Comparison of the results obtained using the previously described and newly prop...

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Bibliographic Details
Published in:Russian journal of applied chemistry Vol. 93; no. 8; pp. 1244 - 1253
Main Authors: Khrushcheva, M. L., Krivosheina, M. S., Matveeva, M. D., Zhilyaev, D. I., Borisov, R. S.
Format: Journal Article
Language:English
Published: Moscow Pleiades Publishing 01-08-2020
Springer Nature B.V
Subjects:
Benzaldehyde
Chemistry
Chemistry and Materials Science
Chemistry/Food Science
Industrial Chemistry/Chemical Engineering
Ions
Mass spectra
Mass spectrometry
Nonsteroidal anti-inflammatory drugs
Organic Synthesis and Industrial Organic Chemistry
Phenylenediamine
Scientific imaging
Spectroscopy
nonsteroidal anti-inflammatory drugs
MALDI mass spectrometry
detection
negative ions
quality control
authenticity
carboxyl-containing compounds
deprotonating matrices
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Summary:The possibility of employing the method of mass spectrometry with matrix-assisted laser desorption/ionization (MALDI) for the rapid detection of carboxyl-containing nonsteroidal anti-inflammatory drugs has been studied. Comparison of the results obtained using the previously described and newly proposed as matrix compounds 4-(dimethylamino)benzaldehyde and N,N -dimethyl- p -phenylenediamine, showed that the latter provide the registration of mass spectra containing intense peaks of deprotonated molecules of all drugs used in the work. Comparison of the time required for their detection by various mass spectrometric methods has shown that MALDI mass spectrometry provides the highest performance in streaming analysis.
ISSN:1070-4272
1608-3296
DOI:10.1134/S1070427220080182