Improving Sensitivity and Resolution of Dendrimer Identification in MALDI-TOF Mass Spectrometry Using Varied Matrix Combinations.

IF 4.7 3区 工程技术 Q1 POLYMER SCIENCE
Polymers Pub Date : 2025-01-16 DOI:10.3390/polym17020219
Claudia Sanhueza, Nathalia Baptista Dias, Daniela Vergara, Lisette Silva, Emigdio Chávez-Ángel, Alejandro Castro-Alvarez
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引用次数: 0

Abstract

Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) is a well-known technique for polymer analysis, particularly for determining the molecular weight and structural details of dendrimers. In this study, we evaluated the performance of various matrices, such as 2',4',6'-trihydroxyacetophenone (THAP), α-cyano-4-hydroxycinnamic acid (HCCA), and sinapinic acid (SA), and their combinations, on the sensitivity and resolution of poly(amidoamine) (PAMAM) dendrimers of different generations (G3.0, G4.0, and G5.0). Our results demonstrated that the combination of HCCA-THAP significantly enhanced spectral resolution and peak intensity compared to individual matrices, particularly for higher-generation dendrimers. This improvement is attributed to the better ionization efficiency achieved with the combined matrices. These findings provide critical insights into optimizing MALDI-TOF MS for the accurate characterization of complex polymers, with potential applications in drug delivery and nanotechnology.

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来源期刊
Polymers
Polymers POLYMER SCIENCE-
CiteScore
8.00
自引率
16.00%
发文量
4697
审稿时长
1.3 months
期刊介绍: Polymers (ISSN 2073-4360) is an international, open access journal of polymer science. It publishes research papers, short communications and review papers. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. Therefore, there is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced. Polymers provides an interdisciplinary forum for publishing papers which advance the fields of (i) polymerization methods, (ii) theory, simulation, and modeling, (iii) understanding of new physical phenomena, (iv) advances in characterization techniques, and (v) harnessing of self-assembly and biological strategies for producing complex multifunctional structures.
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