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Related Concept Videos

Raman Spectroscopy Instrumentation: Overview01:26

Raman Spectroscopy Instrumentation: Overview

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A conventional Raman spectrophotometer includes a laser source, a sample holding system, a wavelength selector, and a detector.
The monochromatic laser source, typically using visible or near-infrared radiation, generates a highly focused beam of light. This light interacts with the molecules of the sample, scattering some of the light. Liquid and gaseous samples are usually tested in ordinary glass capillaries, while solids can be analyzed as powders packed in capillaries or as potassium...
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Applications of IR Spectroscopy: Overview01:11

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The non-destructive nature and ability to provide valuable chemical information make IR spectroscopy a versatile technique with broad applications in various scientific and industrial fields. IR spectroscopy is commonly used to identify and characterize organic and inorganic compounds. It provides information about the functional groups present in a molecule and the bonding between atoms. This helps in the structural elucidation of compounds during organic synthesis, pharmaceutical research,...
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Raman Spectroscopy: Overview01:20

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The underlying principle of Raman spectroscopy is based on the interaction between light and matter, specifically molecules' inelastic scattering of photons. When a monochromatic beam of light, typically from a laser source, interacts with a sample, most scattered light has the same frequency as the incident light. This is known as Rayleigh scattering.
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Applications Of NMR In Biology01:25

Applications Of NMR In Biology

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Nuclear magnetic resonance (NMR) spectroscopy is a very valuable analytical technique for researchers. It has been used for more than 50 years as an analytical tool. F. Bloch and E. Purcell formulated NMR in 1946 and won the 1952 Nobel Prize in Physics  for their work. Biological macromolecules such as proteins, nucleic acids, lipids, and organic molecules including pharmaceutical compounds, can be studied using this versatile tool that exploits the magnetic properties of certain nuclei.
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MALDI-TOF Mass Spectrometry01:19

MALDI-TOF Mass Spectrometry

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Mass spectrometry is a powerful characterization technique that can identify and separate a wide variety of compounds ranging from chemical to biological entities, based on their mass-to-charge ratio (m/z). The instruments that allow this detection, known as mass spectrometers, have three components: an ion source, a mass analyzer, and a detector. These spectrometers differ based on the nature of their ion source and analyzers.Matrix-assisted laser desorption ionization (MALDI) is a commonly...
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Author Spotlight: Advancing SERS Technology: Au@Carbon Dot Nanoprobes for Label-Free Analysis and Imaging
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Advancements in SERS: Revolutionizing Biomedical Analysis and Applications.

Panangattukara Prabhakaran Praveen Kumar1, Shivanjali Saxena2,3, Rakesh Joshi3

  • 1Department of Biomedical Engineering, Institute for Quantitative Health Science and Engineering, Michigan State University, East Lansing, MI 48824, USA.

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|September 17, 2025
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Summary

Surface-enhanced Raman scattering (SERS) offers ultrasensitive bioanalysis. Advances in nano- and microfabricated SERS sensors, coupled with AI, enhance molecular detection for diagnostics and personalized medicine.

Keywords:
Raman spectroscopy, microfabricationbioanalytical applications, machine learning.bottom-up methodtop-down method

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Area of Science:

  • Nanotechnology and Spectroscopy
  • Biomedical Engineering
  • Analytical Chemistry

Background:

  • Surface-enhanced Raman scattering (SERS) provides ultrasensitive molecular detection for bioanalysis.
  • Analyte signal intensity in SERS depends on plasmonic material surface roughness and nanogap architecture.
  • Optimized nanogaps (0.5–1.0 nm) between nanoparticles and analytes enable single-molecule detection.

Purpose of the Study:

  • To review innovations in nano- and microfabricated SERS sensors for biomolecular detection.
  • To highlight design, fabrication, and functionalization strategies for SERS bioanalysis.
  • To explore the role of artificial intelligence (AI) in SERS-based diagnostics.

Main Methods:

  • Review of recent advancements in SERS sensor design and fabrication.
  • Analysis of functionalization strategies for enhanced biomolecular detection.
  • Examination of AI applications in SERS spectral processing and pattern recognition.

Main Results:

  • Nano- and microfabrication techniques have significantly improved SERS substrate efficiency for biomedical applications.
  • Optimized nanogap engineering is crucial for achieving high Raman enhancement and single-molecule sensitivity.
  • AI integration shows promise for advanced spectral analysis and diagnostic model development.

Conclusions:

  • Advanced SERS sensors, enabled by nano- and microfabrication, are revolutionizing bioanalysis.
  • AI is increasingly vital for optimizing SERS data processing and diagnostic capabilities.
  • The synergy of SERS and AI paves the way for point-of-care diagnostics and personalized medicine.