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Related Experiment Video

Updated: May 13, 2026

A Method for Selecting Structure-switching Aptamers Applied to a Colorimetric Gold Nanoparticle Assay

A Method for Selecting Structure-switching Aptamers Applied to a Colorimetric Gold Nanoparticle Assay

Published on: February 28, 2015

SERS-Based Aptamer Sensing Strategy for Diabetes Biomarker Detection.

Jihong Wang¹, Shuang Guo², Eungyeong Park³

¹State Key Laboratory of Supramolecular Structure and Materials, Jilin University, Changchun 130012, PR China.

Analytical Chemistry

|November 27, 2024

Summary

This study introduces a novel surface-enhanced Raman scattering (SERS) aptasensor for detecting glucose and insulin. The developed SERS aptasensor demonstrates high selectivity and sensitivity for disease biomarker detection in saliva.

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Area of Science:

Biomedical Engineering
Analytical Chemistry
Nanotechnology

Background:

Accurate glucose and insulin detection are vital for diabetes diagnosis and management.
Current detection methods may lack the sensitivity or specificity required for early disease identification.
Diabetes affects millions globally, necessitating advanced diagnostic tools.

Purpose of the Study:

To develop a novel surface-enhanced Raman scattering (SERS) aptasensor for simultaneous detection of glucose and insulin.
To utilize gold bipyramidal nanoparticles (Au BPs) as a SERS substrate for enhanced sensitivity.
To validate the aptasensor's performance in real-world biological samples like saliva.

Main Methods:

Fabrication of a SERS aptasensor using gold bipyramidal nanoparticles (Au BPs), SH-aptamer-methylene blue (SH-aptamer-MB), and thiolated polyethylene glycol (SH-PEG).
Immobilization of SH-aptamer-MB onto Au BPs via Au-S bonds, with MB serving as the Raman reporter.
Utilizing conformational changes in the aptamer upon glucose and insulin binding to modulate the SERS signal of MB.

Main Results:

The Au BPs provided abundant "hot spots" for sensitive SERS detection.
The aptasensor demonstrated specific binding to glucose and insulin, inducing detectable changes in the MB SERS signal.
Successful validation of the aptasensor using saliva samples, yielding satisfactory results for selectivity and sensitivity.

Conclusions:

The developed SERS aptasensor offers a promising platform for accurate glucose and insulin detection.
This method provides an effective strategy for utilizing SERS in the detection of disease biomarkers.
The aptasensor's high selectivity and reliable sensitivity pave the way for improved diabetes diagnostics.