vix.ing · top · new · best · stats · spec

Noise Reduction in Nano‐Raman Spectroscopy Using Principal Component Analysis

2025/07/29 by José Eugênio Guimarães, Rafael Nadas, Wenjin Zhang +6 · 2 voices · 1 citation
Biochemistry, Genetics and Molecular Biology · Materials Science · Chemistry · #Spectroscopy Techniques in Biomedical and Chemical Research #Gold and Silver Nanoparticles Synthesis and Applications #Spectroscopy and Chemometric Analyses

paper · pdf · doi:10.1002/pssb.202500291

openalex publication_date 2025/07/29 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/31

Abstract

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.

Citations

Cited by

Discussions

Related