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ISSN: 2155-9872

Journal of Analytical & Bioanalytical Techniques
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  • Perspective Article   
  • J Anal Bioanal Tech,
  • DOI: 10.4172/2155-9872.1000741

Exploring the Applications and Advancements of Surface-Enhanced Raman Spectroscopy in Bio analysis for Detecting Specific Molecular Interactions

Omar Khalid*
Department of Analytical Techniques, Faculty of Engineering, University of Karachi, Karachi, Islamic Republic of Pakistan
*Corresponding Author : Omar Khalid, Department of Analytical Techniques, Faculty of Engineering, University of Karachi, Karachi, Pakistan, Email: KhalidO@karachi.edu.pk

Received Date: Mar 01, 2025 / Published Date: Mar 28, 2025

Abstract

Surface-Enhanced Raman Spectroscopy (SERS) has emerged as a powerful bioanalytical tool for detecting specific molecular interactions with exceptional sensitivity and specificity. By amplifying the Raman scattering signals of molecules near nanostructured metallic surfaces, SERS enables the identification and characterization of biomolecules such as proteins, nucleic acids, and small metabolites at trace concentrations. This article explores the recent advancements in SERS substrates, instrumentation, and data analysis techniques, focusing on their applications in medical diagnostics, environmental monitoring, and biochemical research. Results from cutting-edge studies demonstrate SERS’s ability to detect disease biomarkers, monitor biomolecular binding events, and probe cellular processes in real time. While challenges such as reproducibility and substrate stability remain, ongoing innovations promise to expand SERS’s role in bio analysis, offering a pathway to precision diagnostics and deeper insights into molecular dynamics.

Citation: Omar K (2025) Exploring the Applications and Advancements of Surface- Enhanced Raman Spectroscopy in Bio analysis for Detecting Specific Molecular Interactions. J Anal Bioanal Tech 16: 741. Doi: 10.4172/2155-9872.1000741

Copyright: © 2025 Omar K. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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