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

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Title: Identification of Hydroxyl and Polysiloxane Compounds via Infrared Absorption Spectroscopy with Targeted Noise Analysis.
Authors: Hsiao, Kuang-Yuan1 (AUTHOR) t106739003@ntut.edu.tw, Chung, Ren-Jei1 (AUTHOR), Chang, Pi-Pai1 (AUTHOR), Tsai, Teh-Hua1 (AUTHOR)
Source: Polymers (20734360). Jun2025, Vol. 17 Issue 11, p1533. 15p.
Subjects: Infrared absorption, Polyvinyl butyral, Chemical fingerprinting, Fourier transform infrared spectroscopy, Noise control
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−1 and the O–H band significantly broadening and downshifting to around 3300 cm−1, 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. [ABSTRACT FROM AUTHOR]
Copyright of Polymers (20734360) is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Identification of Hydroxyl and Polysiloxane Compounds via Infrared Absorption Spectroscopy with Targeted Noise Analysis.
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  Data: <searchLink fieldCode="JN" term="%22Polymers+%2820734360%29%22">Polymers (20734360)</searchLink>. Jun2025, Vol. 17 Issue 11, p1533. 15p.
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  Data: <searchLink fieldCode="DE" term="%22Infrared+absorption%22">Infrared absorption</searchLink><br /><searchLink fieldCode="DE" term="%22Polyvinyl+butyral%22">Polyvinyl butyral</searchLink><br /><searchLink fieldCode="DE" term="%22Chemical+fingerprinting%22">Chemical fingerprinting</searchLink><br /><searchLink fieldCode="DE" term="%22Fourier+transform+infrared+spectroscopy%22">Fourier transform infrared spectroscopy</searchLink><br /><searchLink fieldCode="DE" term="%22Noise+control%22">Noise control</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: 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−1 and the O–H band significantly broadening and downshifting to around 3300 cm−1, 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. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
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  Data: <i>Copyright of Polymers (20734360) is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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    Identifiers:
      – Type: doi
        Value: 10.3390/polym17111533
    Languages:
      – Code: eng
        Text: English
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        PageCount: 15
        StartPage: 1533
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      – SubjectFull: Infrared absorption
        Type: general
      – SubjectFull: Polyvinyl butyral
        Type: general
      – SubjectFull: Chemical fingerprinting
        Type: general
      – SubjectFull: Fourier transform infrared spectroscopy
        Type: general
      – SubjectFull: Noise control
        Type: general
    Titles:
      – TitleFull: Identification of Hydroxyl and Polysiloxane Compounds via Infrared Absorption Spectroscopy with Targeted Noise Analysis.
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            NameFull: Hsiao, Kuang-Yuan
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            NameFull: Chung, Ren-Jei
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            NameFull: Chang, Pi-Pai
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            NameFull: Tsai, Teh-Hua
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          Dates:
            – D: 01
              M: 06
              Text: Jun2025
              Type: published
              Y: 2025
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