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Related Experiment Video

Updated: Aug 10, 2025

Author Spotlight: Advancing SERS Technology: Au@Carbon Dot Nanoprobes for Label-Free Analysis and Imaging
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Universal Method for Label-Free Detection of Pathogens and Biomolecules by Surface-Enhanced Raman Spectroscopy Based

Ling Liu1, Ting Zhang1, Zheng Wu1

  • 1Department of Pharmaceutical Analysis and Analytical Chemistry (Research Center for Innovative Technology of Pharmaceutical Analysis), College of Pharmacy, Harbin Medical University, 157 Baojian Road, Harbin, Heilongjiang Province 150081, P.R. China.

Analytical Chemistry
|February 13, 2023
PubMed
Summary
This summary is machine-generated.

Researchers developed a universal, label-free method for detecting diverse biomolecules using surface-enhanced Raman spectroscopy (SERS). This versatile technique enhances signals for DNA, proteins, viruses, and more, paving the way for advanced diagnostics.

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Area of Science:

  • Biochemistry
  • Spectroscopy
  • Nanotechnology

Background:

  • Biomolecule detection is crucial for research and diagnostics.
  • Current methods often detect only single biomolecule classes.
  • A versatile, label-free detection platform is needed.

Purpose of the Study:

  • To develop a universal, label-free method for detecting various biomolecules.
  • To utilize surface-enhanced Raman spectroscopy (SERS) with gold nanoparticles for enhanced detection.
  • To establish a highly sensitive and widely applicable biomolecule detection technique.

Main Methods:

  • Developed a SERS substrate using sulfhydryl-modified gold nanoparticles.
  • Employed a two-step enhancement method involving ion adsorption and aggregation.
  • Utilized bromide ions for initial signal enhancement and calcium ions to create "hot spots".

Main Results:

  • Successfully detected a wide range of biomolecules, including DNA, RNA, amino acids, peptides, proteins, viruses, bacteria, and lipids.
  • Achieved label-free detection with high sensitivity and broad applicability.
  • Obtained distinct Raman fingerprints for each detected biomolecule.

Conclusions:

  • The developed SERS method offers a universal platform for label-free biomolecule detection.
  • This technique demonstrates potential for biomedical research, clinical testing, and disease diagnosis.
  • Lays the foundation for broader applications of SERS technology in diverse scientific fields.