Cargando…

Optimized MALDI-TOF MS Strategy for Characterizing Polymers

In recent years, matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) plays an essential role in the analysis of polymers. To acquire a more reliable strategy for polymer profiling, we characterized four representative polymers including polyethylene glycol 600...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Zhenxin, Zhang, Quanqing, Shen, Huali, Yang, Pengyuan, Zhou, Xinwen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8264446/
https://www.ncbi.nlm.nih.gov/pubmed/34249867
http://dx.doi.org/10.3389/fchem.2021.698297
_version_ 1783719558703480832
author Wang, Zhenxin
Zhang, Quanqing
Shen, Huali
Yang, Pengyuan
Zhou, Xinwen
author_facet Wang, Zhenxin
Zhang, Quanqing
Shen, Huali
Yang, Pengyuan
Zhou, Xinwen
author_sort Wang, Zhenxin
collection PubMed
description In recent years, matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) plays an essential role in the analysis of polymers. To acquire a more reliable strategy for polymer profiling, we characterized four representative polymers including polyethylene glycol 6000, polyvinylpyrrolidone K12, polymer polyol KPOP-5040, and polyether polyol DL-4000. The preparation methods of these four polymer samples have been optimized from six aspects, including matrix, cationization reagent, solvent, mixing ratio of cationization reagent to polymer, mixing ratio of matrix to polymer, and laser intensity. After investigating the effects of seven commonly used matrices on the ionization efficiency of four polymers, trans-2-[3-(4-tert-butylphenyl)-2-methyl-2-propenylidene] malononitrile (DCTB) was found to be the only matrix suitable for the analysis of all the four polymers. Our experimental results suggested that different polymers showed a certain preference for different cationization reagents. For example, the polymer polyol KPOP-5040 was suitable for sodium iodide as the cationization reagent, while polyvinylpyrrolidone K12 was more suitable for silver trifluoroacetate (AgTFA). For the choice of solvent, tetrahydrofuran is a reagent with rapid evaporation and a wide range of dissolution which can achieve the best results for the analysis of four polymers. The optimized method was successfully applied to the identification of DSPE-PEG-NH(2) with different polymerized degrees. This MALDI-TOF strategy potentially provided the supplementary function through the polymer’s application in biomedical and visible probing.
format Online
Article
Text
id pubmed-8264446
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-82644462021-07-09 Optimized MALDI-TOF MS Strategy for Characterizing Polymers Wang, Zhenxin Zhang, Quanqing Shen, Huali Yang, Pengyuan Zhou, Xinwen Front Chem Chemistry In recent years, matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) plays an essential role in the analysis of polymers. To acquire a more reliable strategy for polymer profiling, we characterized four representative polymers including polyethylene glycol 6000, polyvinylpyrrolidone K12, polymer polyol KPOP-5040, and polyether polyol DL-4000. The preparation methods of these four polymer samples have been optimized from six aspects, including matrix, cationization reagent, solvent, mixing ratio of cationization reagent to polymer, mixing ratio of matrix to polymer, and laser intensity. After investigating the effects of seven commonly used matrices on the ionization efficiency of four polymers, trans-2-[3-(4-tert-butylphenyl)-2-methyl-2-propenylidene] malononitrile (DCTB) was found to be the only matrix suitable for the analysis of all the four polymers. Our experimental results suggested that different polymers showed a certain preference for different cationization reagents. For example, the polymer polyol KPOP-5040 was suitable for sodium iodide as the cationization reagent, while polyvinylpyrrolidone K12 was more suitable for silver trifluoroacetate (AgTFA). For the choice of solvent, tetrahydrofuran is a reagent with rapid evaporation and a wide range of dissolution which can achieve the best results for the analysis of four polymers. The optimized method was successfully applied to the identification of DSPE-PEG-NH(2) with different polymerized degrees. This MALDI-TOF strategy potentially provided the supplementary function through the polymer’s application in biomedical and visible probing. Frontiers Media S.A. 2021-06-24 /pmc/articles/PMC8264446/ /pubmed/34249867 http://dx.doi.org/10.3389/fchem.2021.698297 Text en Copyright © 2021 Wang, Zhang, Shen, Yang and Zhou. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Chemistry
Wang, Zhenxin
Zhang, Quanqing
Shen, Huali
Yang, Pengyuan
Zhou, Xinwen
Optimized MALDI-TOF MS Strategy for Characterizing Polymers
title Optimized MALDI-TOF MS Strategy for Characterizing Polymers
title_full Optimized MALDI-TOF MS Strategy for Characterizing Polymers
title_fullStr Optimized MALDI-TOF MS Strategy for Characterizing Polymers
title_full_unstemmed Optimized MALDI-TOF MS Strategy for Characterizing Polymers
title_short Optimized MALDI-TOF MS Strategy for Characterizing Polymers
title_sort optimized maldi-tof ms strategy for characterizing polymers
topic Chemistry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8264446/
https://www.ncbi.nlm.nih.gov/pubmed/34249867
http://dx.doi.org/10.3389/fchem.2021.698297
work_keys_str_mv AT wangzhenxin optimizedmalditofmsstrategyforcharacterizingpolymers
AT zhangquanqing optimizedmalditofmsstrategyforcharacterizingpolymers
AT shenhuali optimizedmalditofmsstrategyforcharacterizingpolymers
AT yangpengyuan optimizedmalditofmsstrategyforcharacterizingpolymers
AT zhouxinwen optimizedmalditofmsstrategyforcharacterizingpolymers