2020
DOI: 10.1002/jms.4587
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Analysis of impurities in pharmaceuticals by LC‐MS with cold electron ionization

Abstract: Pharmaceuticals require careful and precise determination of their impurities that might harm the user upon consumption. Although today, the most common technique for impurities identification is liquid chromatography-mass spectrometry (LC-MS/MS), it has several downsides due to the nature of the ionization method. Also, the analyses in many cases are targeted thus despite being present, some of the compounds will not be revealed. In this paper, we propose and show a new method for untargeted analysis and iden… Show more

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Cited by 3 publications
(2 citation statements)
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“…GC-MS with Cold EI improves all the central performance aspects of GC-MS and uniquely provides enhanced molecular ions, improved sample identification, significantly extended range of compounds amenable for analysis, uniform response to all analytes (internal quantitation), faster analysis, greater selectivity, and lower limits of detection [25][26][27][28][29][30][31][32][33].…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…GC-MS with Cold EI improves all the central performance aspects of GC-MS and uniquely provides enhanced molecular ions, improved sample identification, significantly extended range of compounds amenable for analysis, uniform response to all analytes (internal quantitation), faster analysis, greater selectivity, and lower limits of detection [25][26][27][28][29][30][31][32][33].…”
Section: Introductionmentioning
confidence: 99%
“…The molecular ion is the most (and many times the only) characteristic ion as the fragmentation pattern can be similar for many compounds, and therefore it is often vital for sample compound identification. GC-MS with Cold EI improves all the central performance aspects of GC-MS and uniquely provides enhanced molecular ions, improved sample identification, significantly extended range of compounds amenable for analysis, uniform response to all analytes (internal quantitation), faster analysis, greater selectivity, and lower limits of detection [25][26][27][28][29][30][31][32][33].…”
Section: Introductionmentioning
confidence: 99%