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WORKSHOP

RAMAN SPECTROSCOPY

Course preview

Raman Spectroscopy – Workshop

Workshop Highlights

Introduction and History of Raman Spectroscopy

  • Discovery of Raman effect by Sir C. V. Raman

  • Significance of Raman spectroscopy in modern analytical science

Principle of Raman Spectroscopy

  • Raman scattering of monochromatic light

  • Stokes and Anti-Stokes scattering

  • Molecular fingerprinting using vibrational modes

Sample Preparation Techniques

  • Minimal or no sample preparation

  • Direct measurement of solids, liquids, and powders

Case Study

  • Structural and quality analysis of carbon nanotubes using Raman spectroscopy

Applications and Examples

  • Nanomaterial characterization

  • Forensic science investigations

  • Biological and biomedical research

Program Particulars

ParticularsDetails
TitleRaman Spectroscopy – Workshop
Duration1 hour
Mode of DeliveryOnline
Program Fee₹99 (Individual Registration)
DeliverablesE-Certificate, Course Material
Target AudienceStudents, Researchers, and Professionals in Nanotechnology, Chemistry, Biotechnology, Materials Science, Forensic and Life Sciences


What you'll learn
Instructor
  • After completing this workshop, participants will be able to:
  • Understand the Raman effect and working principle of Raman spectroscopy
  • Perform Raman analysis with minimal sample preparation
  • Identify and overcome common limitations and artifacts
  • Interpret Raman spectra for nanomaterials and biological samples
  • Apply Raman spectroscopy in research, forensic, and industrial applications
Instructor

Mrs.Nandhini Muthukumaran

Nanotechnologist

Founder and Director of Nano Nest Private Limited Excels in the fabrication of nanoparticles Expertise in characterization of nanomaterials Skilled in curating scientific and technical workshops Delivers complex concepts in a clear and understandable manner Experienced in hands-on training and practical demonstrations Strong ability to engage students, researchers, and professionals Focused on industry-relevant and application-oriented learning