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Related Experiment Video

Updated: Oct 21, 2025

Nanosensors to Detect Protease Activity In Vivo for Noninvasive Diagnostics
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Simultaneous detection of multiple proteases using a non-array nanopore platform.

Xiaohan Chen1, Youwen Zhang, Xiyun Guan

  • 1Department of Chemistry, Illinois Institute of Technology, 3101 S Dearborn St, Chicago, IL 60616, USA. xguan5@iit.edu.

Nanoscale
|September 3, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces a novel nanopore sensing platform for simultaneously measuring multiple proteases, specifically ADAM10 and ADAM17, in a single assay. This non-array method offers a new approach for multiplexed analyte detection and clinical diagnostics.

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Area of Science:

  • Biotechnology
  • Analytical Chemistry
  • Biochemistry

Background:

  • Multiplexing assays are crucial for measuring multiple analytes simultaneously.
  • Current methods often rely on sensor arrays, limiting scalability.
  • Protease activity is vital in various biological processes and disease states.

Purpose of the Study:

  • To develop an innovative multiplex multi-analyte detection platform for protease measurement.
  • To enable simultaneous detection and quantification of ADAM10 and ADAM17 in mixture samples.
  • To explore a non-array format for enhanced multiplexing capabilities.

Main Methods:

  • Utilized a single peptide substrate with two distinct cleavage sites for ADAM10 and ADAM17.
  • Employed a single nanopore to monitor the degradation of the peptide substrate.
  • Quantified protease activity by analyzing the degradation products in real-time.

Main Results:

  • Successfully achieved simultaneous detection and quantification of ADAM10 and ADAM17 in mixed samples.
  • Demonstrated the efficacy of the non-array multiplexing sensing platform.
  • Validated the platform's potential for sensitive and specific protease measurement.

Conclusions:

  • The developed platform offers a novel approach for multiplexed protease detection.
  • This non-array sensing strategy can be integrated with existing sensor arrays to enhance multiplexing capacity.
  • The technology holds promise for applications in clinical diagnosis and prognosis.