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Nanosensors to Detect Protease Activity In Vivo for Noninvasive Diagnostics
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Proteolytic Biosensors with Functional Nanomaterials: Current Approaches and Future Challenges
1School of Chemical Engineering, Clean Energy Research Center, Jeonbuk National University, Jeonju 54896, Republic of Korea.
Biosensors
|February 25, 2023
Summary
Proteolytic enzymes are key biomarkers for early disease diagnosis. Functional nanomaterials enhance the sensitivity and speed of measuring these enzymes, paving the way for advanced nanobiosensors for cellular-level health monitoring.
Area of Science:
- Biochemistry and Molecular Biology
- Biomedical Engineering
- Nanotechnology
Background:
- Proteolytic enzymes are crucial biomarkers for early disease detection, including cancers.
- These enzymes selectively degrade specific polypeptide sequences, enabling targeted quantification.
- Current methods can be enhanced by integrating functional nanomaterials for improved sensitivity and speed.
Purpose of the Study:
- To review proteolytic enzymes measurable via polypeptide degradation.
- To discuss recent advancements in functional nanomaterial-based proteolytic biosensors.
- To highlight the potential of nanobiosensors for cellular-level physiological monitoring and early diagnosis.
Main Methods:
- Review of literature on polypeptide degradation methods for proteolytic enzyme measurement.
- Analysis of recent studies on functional nanomaterials applied to proteolytic biosensors.
- Discussion of signal transduction mechanisms in nanobiosensor design.
Main Results:
- Identification of various proteolytic enzymes quantifiable through peptide cleavage.
- Demonstration of enhanced sensitivity and rapidity in nanomaterial-assisted enzyme detection.
- Overview of diverse functional nanomaterials employed in proteolytic biosensor development.
Conclusions:
- Proteolytic nanobiosensors offer a promising platform for sensitive and rapid enzyme detection.
- These biosensors can provide valuable insights into cellular-level physiological changes.
- The reviewed technologies hold significant potential for individual and early disease diagnosis.

