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通过具有目标噪声分析的红外吸收光谱法鉴定羟基和聚硅氧烷化合物

Identification of Hydroxyl and Polysiloxane Compounds via Infrared Absorption Spectroscopy with Targeted Noise Analysis.

作者信息

Hsiao Kuang-Yuan, Chung Ren-Jei, Chang Pi-Pai, Tsai Teh-Hua

机构信息

Department of Chemical Engineering and Biotechnology, National Taipei University of Technology, No. 1, Section 3, Zhongxiao E. Road., Da'an District, Taipei 106344, Taiwan.

出版信息

Polymers (Basel). 2025 May 30;17(11):1533. doi: 10.3390/polym17111533.

DOI:10.3390/polym17111533
PMID:40508775
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12157987/
Abstract

This investigation of hydroxyl and polysiloxane absorption peaks in elastic polymer composites reveals significant spectral shifts within the fingerprint region of FTIR spectra. Using poly(vinyl butyral) (PVB) as the base polymer and poly(vinyl acetate) (PVAc) and poly(vinyl alcohol) (PVA) as reference materials, solvent effects on polymer-solvent interactions were systematically analyzed. Among the tested alcohol solvents, PEG 400 induced the most pronounced spectral changes, with the C=O stretching band shifting from 1740 to 1732 cm and the O-H band significantly broadening and downshifting to around 3300 cm, reflecting strong hydrogen-bonding interactions. Wavelet-based noise reduction effectively enhanced the signal-to-noise ratio, reducing the baseline standard deviation by over 90%. This study introduces a novel noise-enhanced FTIR recognition model that integrates baseline noise metrics to improve detection sensitivity. The model successfully uncovers subtle structural variations in polymer-solvent systems that are typically masked by conventional FTIR techniques, advancing materials analysis and providing a robust framework for future FTIR-based diagnostics and material characterization.

摘要

对弹性聚合物复合材料中羟基和聚硅氧烷吸收峰的这项研究揭示了傅里叶变换红外光谱(FTIR)指纹区域内显著的光谱位移。以聚乙烯醇缩丁醛(PVB)作为基础聚合物,聚醋酸乙烯酯(PVAc)和聚乙烯醇(PVA)作为参考材料,系统地分析了溶剂对聚合物 - 溶剂相互作用的影响。在测试的醇类溶剂中,聚乙二醇400(PEG 400)引起的光谱变化最为明显,C = O伸缩带从1740 cm移至1732 cm,O - H带显著变宽并下移至约3300 cm,这反映了强烈的氢键相互作用。基于小波的降噪有效地提高了信噪比,使基线标准偏差降低了90%以上。本研究引入了一种新颖的噪声增强FTIR识别模型,该模型整合了基线噪声指标以提高检测灵敏度。该模型成功揭示了聚合物 - 溶剂系统中通常被传统FTIR技术掩盖的细微结构变化,推动了材料分析,并为未来基于FTIR的诊断和材料表征提供了一个强大的框架。

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Advancements in Understanding the Physicochemical Properties of Reticular Materials: An In Situ and Operando Spectroscopic Perspective.
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