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Chemically-blocked Antibody Microarray for Multiplexed High-throughput Profiling of Specific Protein Glycosylation in Complex Samples
Published on: May 4, 2012
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Molecularly imprinted colloidal array with multi-boronic acid sites for glycoprotein detection under neutral pH
Wei Chen1, Zhiyang Guo1, Hao Yu1
1College of Chemistry and Bioengineering, Shandong University of Science and Technology, Qingdao, Shandong 266590, China.
Journal of Colloid and Interface Science
|September 27, 2021
Summary
This study introduces a novel sensor for detecting glycoproteins, even at low concentrations in biological fluids. The developed sensor uses imprinted colloidal arrays for sensitive and selective glycoprotein detection, enabling naked-eye diagnostics.
Area of Science:
- Biomarker Discovery
- Biosensing Technology
- Materials Science
Background:
- Glycoproteins are crucial in biological processes and disease diagnostics.
- Low glycoprotein concentrations in biological samples pose detection challenges.
- Selective and sensitive detection methods are needed.
Purpose of the Study:
- To develop a molecularly imprinted colloidal array sensor for glycoprotein detection at physiological pH.
- To create a label-free optical sensor for sensitive and selective glycoprotein analysis.
- To enable naked-eye detection of glycoproteins.
Main Methods:
- Preparation of SiO2@PEI/MIPs using horseradish peroxidase (HRP) as a template.
- Assembly of imprinted particles into a close-packed colloidal array for a photonic crystal sensor (GICA).
- Utilizing changes in structure color and diffraction wavelength for label-free detection.
Main Results:
- The SiO2@PEI/MIPs demonstrated high adsorption capacity and selectivity for HRP.
- The GICA sensor showed a distinct color change and wavelength shift upon HRP binding.
- Detection of HRP in human serum samples was successfully achieved, indicating practical applicability.
Conclusions:
- The proposed GICA sensor offers a promising platform for sensitive and selective glycoprotein detection.
- The label-free optical detection mechanism simplifies analysis and enables naked-eye readout.
- This technology holds potential for disease biomarker screening and diagnostics.

