Noise Reduction in Nano‐Raman Spectroscopy Using Principal Component Analysis Article Swipe
José Eugênio Guimarães
,
Rafael Nadas
,
Wenjin Zhang
,
Takahiko Endo
,
Kenji Watanabe
,
Takashi Taniguchi
,
Riichiro Saito
,
Yasumitsu Miyata
,
Ado Jório
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1002/pssb.202500291
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1002/pssb.202500291
Tip‐enhanced Raman spectroscopy (TERS) combined with principal component analysis (PCA) offers a robust approach for enhancing signal quality and uncovering spectroscopic features otherwise concealed by noise. This study demonstrates that integrating TERS with PCA in large‐scale datasets effectively reduces noise and enhances the extraction of weak Raman signals that are often obscured by random spectral fluctuations. The methodology was applied to hyperspectral datasets acquired from MoSe 2 monolayers exhibiting nanoscale surface features. Through this approach, previously hidden nano‐Raman peaks were successfully isolated, enabling reliable chemical identification at the nanoscale. The combined use of TERS and PCA significantly improves sensitivity and resolution in the spectroscopic analysis of 2D materials, advancing their characterization with respect to interfacial and environmental effects.
Related Topics
Concepts
Principal component analysis
Raman spectroscopy
Noise reduction
Noise (video)
Spectroscopy
Component (thermodynamics)
Materials science
Reduction (mathematics)
Analytical Chemistry (journal)
Acoustics
Optics
Computer science
Physics
Chemistry
Mathematics
Artificial intelligence
Chromatography
Thermodynamics
Image (mathematics)
Quantum mechanics
Geometry
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1002/pssb.202500291
- OA Status
- hybrid
- Cited By
- 3
- References
- 20
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4412900074
All OpenAlex metadata
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https://openalex.org/W4412900074Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1002/pssb.202500291Digital Object Identifier
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Noise Reduction in Nano‐Raman Spectroscopy Using Principal Component AnalysisWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-07-29Full publication date if available
- Authors
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José Eugênio Guimarães, Rafael Nadas, Wenjin Zhang, Takahiko Endo, Kenji Watanabe, Takashi Taniguchi, Riichiro Saito, Yasumitsu Miyata, Ado JórioList of authors in order
- Landing page
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https://doi.org/10.1002/pssb.202500291Publisher landing page
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YesWhether a free full text is available
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hybridOpen access status per OpenAlex
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https://doi.org/10.1002/pssb.202500291Direct OA link when available
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Principal component analysis, Raman spectroscopy, Noise reduction, Noise (video), Spectroscopy, Component (thermodynamics), Materials science, Reduction (mathematics), Analytical Chemistry (journal), Acoustics, Optics, Computer science, Physics, Chemistry, Mathematics, Artificial intelligence, Chromatography, Thermodynamics, Image (mathematics), Quantum mechanics, GeometryTop concepts (fields/topics) attached by OpenAlex
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3Total citation count in OpenAlex
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2025: 3Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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