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Related Experiment Video

Updated: Jun 16, 2026

Nanosensors to Detect Protease Activity In Vivo for Noninvasive Diagnostics
10:50

Nanosensors to Detect Protease Activity In Vivo for Noninvasive Diagnostics

Published on: July 16, 2018

Time-resolved single-step protease activity quantification using nanoplasmonic resonator sensors.

Cheng Sun1, Kai-Hung Su, Jason Valentine

  • 1Nanoscale Science and Engineering Center, University of California, Berkeley, CA 94720, USA. c-sun@northwestern.edu

ACS Nano
|February 4, 2010
PubMed
Summary
This summary is machine-generated.

This study introduces a novel nanoplasmonic resonator (NPR) for highly sensitive protease activity measurement. This method achieves picomolar sensitivity, outperforming conventional assays for applications like prostate-specific antigen (PSA) detection.

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Area of Science:

  • Biochemistry
  • Nanotechnology
  • Analytical Chemistry

Background:

  • Protease activity assays are crucial for drug screening, diagnostics, and molecular profiling.
  • Conventional immunopeptidemetric assays (IMPA) suffer from low signal-to-noise ratios, limiting sensitivity at clinically relevant picomolar to nanomolar concentrations.

Purpose of the Study:

  • To develop a highly sensitive method for measuring protease activity using nanoplasmonic resonators (NPRs).
  • To enable real-time detection of proteolytically active prostate-specific antigen (paPSA) at low concentrations.

Main Methods:

  • Utilized nanoplasmonic resonators (NPRs) to significantly enhance Raman signals (6.1 x 10^10 times).
  • Developed a method for fast, real-time detection of protease activity.

Main Results:

  • Achieved a sensitivity level of 6 pM (0.2 ng/mL) for paPSA detection.
  • Demonstrated a wide dynamic range of 3 orders of magnitude.
  • Successfully detected paPSA in complex biological samples like extracellular fluid (ECF) with high specificity.

Conclusions:

  • Nanoplasmonic resonators offer a fast, sensitive, and accurate approach for protease activity detection.
  • This one-step method is suitable for analyzing very small sample volumes.
  • The technology holds promise for improved diagnostics and molecular profiling.