Characterization of styrene/methyl methacrylate/n‐butyl acrylate terpolymer with Kendrick mass defect analysis in electrospray ionization‐ion mobility spectrometry‐mass spectrometry
Characterization of styrene/methyl methacrylate/n‐butyl acrylate terpolymer with Kendrick mass defect analysis in electrospray ionization‐ion mobility spectrometry‐mass spectrometry
复制标题
苯乙烯/甲基丙烯酸甲酯/丙烯酸正丁酯三元共聚物的电喷雾电离-离子迁移谱-质谱中Kendrick质量缺陷分析表征
DOI：
10.1002/rcm.9455
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发表时间：
2023
影响因子：
2
通讯作者：
Shinada Hiroko
中科院分区：
文献类型：
--
作者：
Ozeki Yuka;Kitagawa Shinya;Ohtani Hajime;Kondo Yosuke;Shinada Hiroko
共聚物的合成是建立复杂聚合物的主要方法之一。在质谱分析中，单体单位种类和/或聚合物分子量的增加导致质谱复杂，需要一种方法来解决这一问题。方法采用电喷雾电离-离子迁移谱法-质谱法对苯乙烯/甲基丙烯酸甲酯/丙烯酸正丁酯（St/MMA/nBA）三元共聚物进行Kendrick质量缺陷（KMD）分析。开发了一种基于扩展傅里叶变换的共聚物降噪方法，以改善在高/ zerm区域观察到的信噪比下降。结果在二维KMD图上，通过比较实验结果和理论结果，确定了0.7 kDa的慢质量三元共聚物。对于1.5 kDa的三元共聚物，其KMD值与理论值不匹配的信号重叠可以用KMD图中与理论值的偏移来解释。对于3.0 kDa的三元共聚物，根据先前分析的低质量三元共聚物的组成信息进行预测，确定候选组分。经扩展噪声滤波后，得到了4.5 kDa的三元共聚物。结论制备的三聚体分子量可达4.5 kDa，在分子水平上进行了表征。观察了St/MMA/nBA组成与分子量的关系；即nBA含量随分子量的增加而降低。
RationaleSynthesis of copolymer is one of the major approaches to establish sophisticated polymers. In copolymer analysis in mass spectrometry (MS), an increase in the number of monomer unit species and/or the polymer molecular weight results in complex mass spectra, and a method is required to solve this problem.MethodsIn this study, electrospray ionization‐ion mobility spectrometry‐mass spectrometry was employed to analyze styrene/methyl methacrylate/n‐butyl acrylate (St/MMA/nBA) terpolymers via Kendrick mass defect (KMD) analysis. An expanded Fourier transform‐based noise reduction method for the copolymer was developed to improve the decrease in the signal/noise ratio observed in the higherm/zregion.ResultsLow‐mass terpolymers (0.7 kDa) were identified by comparing the observed and theoretical results using a two‐dimensional KMD plot. For the 1.5 kDa terpolymer, the signal overlap, of which KMD value was not matched with the theoretical one, was interpreted by the shift from the theoretical value in the KMD plot. For the 3.0 kDa terpolymers, the compositional candidates were determined by the prediction based on the compositional information of low‐mass terpolymers previously analyzed. The 4.5 kDa terpolymer was interpreted after the expanded noise filtering.ConclusionsThe terpolymers, whose molecular weight was up to 4.5 kDa, were successfully characterized at a molecular level. The dependency of the St/MMA/nBA composition on molecular weight was observed; that is, the nBA content decreased with an increase in the molecular weight.