World Journal of
Pharmaceutical and Life Sciences

( An ISO 9001:2015 Certified International Journal )

An International Peer Reviewed Journal for Pharmaceutical and Life Sciences
An Official Publication of Society for Advance Healthcare Research (Reg. No. : 01/01/01/31674/16)
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Abstract

UNVEILING RAMAN SPECTROSCOPY IN EARLY DIAGNOSIS OF NEURODEGENERATIVE DISEASES

*Dibyendu Dutta, Jaydeep Roy, Shubhendu Maji, Rahul Kumar Singh, Soumya Maiti, Dr. Dhrubo Jyoti Sen, Dr. Viral A Prajapati and Dr. Dhananjoy Saha

ABSTRACT

Raman spectroscopy, a powerful analytical tool that provides molecular-level insights through vibrational spectra, holds significant promise in the early diagnosis of neurodegenerative diseases. This study investigates the application of Raman spectroscopy for detecting biomarkers associated with Alzheimer's, Parkinson's, and Huntington's diseases in biological samples such as blood, cerebrospinal fluid, and tissues. The non-invasive nature of Raman spectroscopy, combined with its ability to deliver precise molecular fingerprints, enables the identification of disease-specific biochemical changes long before clinical symptoms manifest. We explore the advancements in Raman spectroscopic techniques, including surface-enhanced Raman spectroscopy (SERS) and coherent anti-Stokes Raman spectroscopy (CARS), which enhance sensitivity and specificity. Through comparative analysis with traditional diagnostic methods like MRI and PET scans, we highlight the superior capabilities of Raman spectroscopy in early diagnosis. Preliminary results indicate a high correlation between Raman spectral patterns and neurodegenerative biomarkers, suggesting its potential as a routine diagnostic tool. By facilitating early intervention, Raman spectroscopy could transform patient outcomes, reducing the burden of neurodegenerative diseases. This paper aims to provide a comprehensive overview of current research, technological advancements, and future directions in the field, advocating for the integration of Raman spectroscopy into clinical practice for neurodegenerative disease diagnosis.

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