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肯德里克分析与复杂同位素模式:通过高分辨率基质辅助激光解吸电离质谱对原始和加热的多溴代阻燃剂进行成分分析的案例研究

Kendrick Analysis and Complex Isotopic Patterns: A Case Study of the Compositional Analysis of Pristine and Heated Polybrominated Flame Retardants by High-Resolution MALDI Mass Spectrometry.

作者信息

Nakamura Sayaka, Sato Hiroaki, N J Fouquet Thierry

机构信息

Polymer Chemistry Group, Research Institute for Sustainable Chemistry, National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Japan.

出版信息

Mass Spectrom (Tokyo). 2020;9(1):A0079. doi: 10.5702/massspectrometry.A0079. Epub 2020 Feb 6.

DOI:10.5702/massspectrometry.A0079
PMID:32158630
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7039712/
Abstract

The Kendrick analysis is used for the processing and visualization of mass spectra obtained from polymers containing C, H, O and/or Si with simple isotopic patterns (monoisotope=lightest isotope=most intense isotope for short chains). In the case of heteroatoms with complex isotopic patterns, the impact of the chosen isotope on point alignments in Kendrick plots has not been examined extensively. Rich isotopic patterns also make the evaluation of the mass and nature of the repeating unit and end-groups more difficult from the mass spectrum in the case of unknown samples due to the number of peaks and the absence of a monoisotopic peak. Using a polybrominated polycarbonate as running example, we report that horizontal point alignments can be obtained in a Kendrick plot using the mass of the most abundant isotope instead of the monoisotopic mass as is usually done. Rotating the plot ("reverse Kendrick analysis") helps to accurately evaluate the mass of the most abundant isotope of the repeating unit, as well as the nature of the brominated neutral expelled upon gentle heating (debromination or dehydrobromination). The whole procedure is then applied to the characterization of an unknown polybrominated flame retardant in an industrial formulation before and after heating.

摘要

肯德里克分析用于处理和可视化从含有碳、氢、氧和/或硅且具有简单同位素模式(对于短链,单同位素=最轻同位素=最强同位素)的聚合物获得的质谱。对于具有复杂同位素模式的杂原子,所选同位素对肯德里克图中点对齐的影响尚未得到广泛研究。丰富的同位素模式也使得在未知样品的情况下,由于峰的数量以及不存在单同位素峰,从质谱中评估重复单元和端基的质量和性质更加困难。以一种多溴化聚碳酸酯为例,我们报告在肯德里克图中可以使用最丰富同位素的质量而非通常使用的单同位素质量来获得水平点对齐。旋转该图(“反向肯德里克分析”)有助于准确评估重复单元最丰富同位素的质量,以及温和加热时(脱溴或脱溴化氢)排出的溴化中性物质的性质。然后将整个过程应用于工业配方中加热前后未知多溴化阻燃剂的表征。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d16d/7039712/22898efa501e/massspectrometry-9-1-A0079-figure04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d16d/7039712/f4edd1103840/massspectrometry-9-1-A0079-figure01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d16d/7039712/e280a5755c8a/massspectrometry-9-1-A0079-figure02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d16d/7039712/31056044a4c9/massspectrometry-9-1-A0079-figure03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d16d/7039712/22898efa501e/massspectrometry-9-1-A0079-figure04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d16d/7039712/f4edd1103840/massspectrometry-9-1-A0079-figure01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d16d/7039712/e280a5755c8a/massspectrometry-9-1-A0079-figure02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d16d/7039712/31056044a4c9/massspectrometry-9-1-A0079-figure03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d16d/7039712/22898efa501e/massspectrometry-9-1-A0079-figure04.jpg

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本文引用的文献

1
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J Mass Spectrom. 2019 Dec;54(12):933-947. doi: 10.1002/jms.4480.
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Elemental Composition Determinations Using the Abundant Isotope.使用丰度同位素进行元素组成测定。
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Molecular Characterization of High Molecular Weight Polyesters by Matrix-Assisted Laser Desorption/Ionization High-Resolution Time-of-Flight Mass Spectrometry Combined with On-plate Alkaline Degradation and Mass Defect Analysis.
采用基质辅助激光解吸/电离飞行时间质谱联用板上碱性降解和质量亏损分析对高分子量聚酯进行分子特征分析。
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"Reverse Kendrick Mass Defect Analysis": Rotating Mass Defect Graphs to Determine Oligomer Compositions for Homopolymers.“反向肯德里克质量亏损分析”:旋转质量亏损图以确定均聚物的低聚物组成
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Improving the Resolution of Kendrick Mass Defect Analysis for Polymer Ions with Fractional Base Units.提高具有分数基本单元的聚合物离子的肯德里克质量亏损分析分辨率。
Mass Spectrom (Tokyo). 2017;6(1):A0055. doi: 10.5702/massspectrometry.A0055. Epub 2017 Mar 28.
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Structural characterization of polymers by MALDI spiral-TOF mass spectrometry combined with Kendrick mass defect analysis.通过基质辅助激光解吸电离螺旋飞行时间质谱结合肯德里克质量亏损分析对聚合物进行结构表征
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