Suppr超能文献

用于通过静态二次离子质谱法表征聚酯的初级单原子离子与初级多原子离子的比较。

Comparison of primary monoatomic with primary polyatomic ions for the characterisation of polyesters with static secondary ion mass spectrometry.

作者信息

Van Royen Pieter, Taranu Anca, Van Vaeck Luc

机构信息

Department of Chemistry, University of Antwerp (CDE), Universiteitsplein 1, B-2610 Wilrijk, Belgium.

出版信息

Rapid Commun Mass Spectrom. 2005;19(4):552-60. doi: 10.1002/rcm.1824.

Abstract

Static secondary ion mass spectrometry (S-SIMS) emerges as one of the most adequate methods for the surface characterisation of polymers with an information depth of essentially one monolayer. The continuing search for increased analytical sensitivity and specificity has led to exploring the use of polyatomic primary ions as an alternative to the traditionally applied monoatomic projectiles. As part of a systematic investigation on polyatomic bombardment of organic and inorganic solids, this paper focuses on selected polyesters. Mass spectra and ion yields are compared for layers deposited on silicon wafers by spincoating solutions with different concentrations of poly(epsilon-caprolactone) (PCL), poly(butylene adipate) (PBA) and poly(ethylene adipate) (PEA). Accurate mass measurements have been used to support the assignment of the ions and link the composition of the detected ions to the analyte structure. Use of polyatomic projectiles increases the yield of structural ions with a factor of +/-15, +/-30 and +/-10 for PCL, PBA and PEA, respectively, in comparison to bombardment with Ga+ primary ions, while the molecular specificity is improved by the detection of additional high m/z ions.

摘要

静态二次离子质谱法(S-SIMS)成为用于聚合物表面表征的最合适方法之一,其信息深度基本上为一个单分子层。对提高分析灵敏度和特异性的持续探索促使人们研究使用多原子一次离子来替代传统使用的单原子射弹。作为对有机和无机固体多原子轰击系统研究的一部分,本文重点关注选定的聚酯。比较了通过旋涂不同浓度的聚(ε-己内酯)(PCL)、聚(己二酸丁二醇酯)(PBA)和聚(己二酸乙二酯)(PEA)溶液沉积在硅片上的薄膜的质谱和离子产率。精确质量测量已用于支持离子的归属,并将检测到的离子组成与分析物结构联系起来。与用Ga⁺一次离子轰击相比,使用多原子射弹分别使PCL、PBA和PEA的结构离子产率提高了+/-15、+/-30和+/-10倍,同时通过检测额外的高m/z离子提高了分子特异性。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验