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Refreshable Nanobiosensor Based on Organosilica Encapsulation of Biorecognition Elements
Rohit Gupta1, Jingyi Luan1, Shantanu Chakrabartty2
1Institute of Materials Science and Engineering and Department of Mechanical Engineering and Materials Science , Washington University in St. Louis , St. Louis , Missouri 63130 , United States.
ACS Applied Materials & Interfaces
|January 9, 2020
Summary
Researchers developed a new organosilica encapsulation method to stabilize antibodies in biosensors. This innovation enables long-term monitoring of biomarkers by allowing biosensors to be refreshed multiple times without losing functionality.
Area of Science:
- Biomedical Engineering
- Materials Science
- Analytical Chemistry
Background:
- Long-term monitoring using biosensors is crucial for early disease detection.
- Instability of antibodies and lack of effective refreshing methods limit biosensor longevity.
- Current biosensors struggle with maintaining functionality during recalibration or under harsh conditions.
Purpose of the Study:
- To develop a novel method for enhancing antibody stability in biosensors.
- To enable repeatable and long-term monitoring of protein biomarkers.
- To create refreshable biosensors for clinical diagnostics.
Main Methods:
- Organosilica encapsulation of antibodies to protect biorecognition elements.
- Utilizing sodium dodecyl sulfate (SDS) solution for sensor refreshing by dissociating antibody-antigen interactions.
- Demonstrating refreshability using plasmonic biosensors for anti-IgG and neutrophil gelatinase-associated lipocalin (NGAL).
Main Results:
- Organosilica encapsulation preserved antibody biorecognition capability during SDS treatment and elevated temperatures.
- The developed method facilitated multiple refresh cycles of the biosensor without compromising functionality.
- Successfully demonstrated refreshable plasmonic biosensors for NGAL, a kidney injury biomarker.
Conclusions:
- Organosilica encapsulation is a viable strategy to enhance antibody stability and enable biosensor refreshability.
- This approach overcomes key limitations for long-term protein biomarker monitoring.
- The method is adaptable to various transduction platforms for developing robust, reusable biosensors.
