Detailed MALDI comparison of NiPAm glycopolymers

Crotty, Sarah; Ehe, Christian von der; Weber, C.; Schubert, Ulrich S.

doi:10.1016/j.eurpolymj.2015.08.010

Cited by 1 publication

(1 citation statement)

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“…A comparison of 12 matrices for the MALDI analysis of glycosylated poly( N ‐isopropylacrylamide polymers has found that the non‐polar trans ‐2‐[3‐(4‐ tert ‐butylphenyl)‐2‐methyl‐2‐propenylidene]malononitrile (DCTB, 15 ) gave the best results (Crotty et al, 2015).

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Section: Matricesmentioning

confidence: 99%

Analysis of Carbohydrates and Glycoconjugates by Matrix‐assisted Laser Desorption/Ionization Mass Spectrometry: An Update for 2015–2016

Harvey

2021

Mass Spectrometry Reviews

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This review is the ninth update of the original article published in 1999 on the application of matrix‐assisted laser desorption/ionization (MALDI) mass spectrometry to the analysis of carbohydrates and glycoconjugates and brings coverage of the literature to the end of 2016. Also included are papers that describe methods appropriate to analysis by MALDI, such as sample preparation techniques, even though the ionization method is not MALDI. Topics covered in the first part of the review include general aspects such as theory of the MALDI process, matrices, derivatization, MALDI imaging, fragmentation and arrays. The second part of the review is devoted to applications to various structural types such as oligo‐ and poly‐saccharides, glycoproteins, glycolipids, glycosides and biopharmaceuticals. Much of this material is presented in tabular form. The third part of the review covers medical and industrial applications of the technique, studies of enzyme reactions and applications to chemical synthesis. The reported work shows increasing use of combined new techniques such as ion mobility and the enormous impact that MALDI imaging is having. MALDI, although invented over 30 years ago is still an ideal technique for carbohydrate analysis and advancements in the technique and range of applications show no sign of deminishing. © 2020 Wiley Periodicals, Inc.

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Section: Matricesmentioning

confidence: 99%