Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Microbial Biosensors01:17

Microbial Biosensors

Microbial biosensors are analytical devices that utilize living microbes to detect specific substances through measurable signals. These devices consist of two main components: biosensing organisms and signal-transducing elements. Biosensing organisms, such as Escherichia coli or Saccharomyces cerevisiae, are typically housed in multiwell plates connected to transducers, enabling rapid, real-time detection of target analytes.Signal Generation MechanismWhen a target analyte—such as...
Glucose Homeostasis: Regulation of Blood Glucose01:02

Glucose Homeostasis: Regulation of Blood Glucose

Carbohydrates consumed through foods are converted into glucose, a crucial energy source for the body. In the prandial state, high blood glucose levels stimulate the secretion of insulin from the pancreas. Insulin inhibits hepatic glucose production and stimulates glucose uptake and metabolism by muscle and adipose tissue. The excess glucose is converted into glycogen and stored in the liver and muscles.
During fasting, when blood glucose levels are low, the pancreas secretes glucagon. it...
Amperometry: Overview01:10

Amperometry: Overview

Amperometry is a technique commonly used to measure the concentration of specific analytes in a solution by monitoring the electric current generated during an electrochemical reaction. It involves applying a constant potential between a working electrode and a reference electrode to measure the resulting current, which is proportional to the concentration of the analyte. The Clark oxygen electrode operates based on this principle of amperometry. It consists of a cathode and an anode enclosed...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Timed batch inputs unlock substantially higher yields for enzymatic cascades.

Nature chemistry·2026
Same author

Changes in the pH-Activity Profiles of Enzymes upon Immobilization on Polyelectrolyte-Containing Hydrogels.

Chem & bio engineering·2026
Same author

A recursive enzymatic competition network capable of multitask molecular information processing.

Nature chemistry·2025
Same author

Controlling Multiphase Coacervate Wetting and Self-Organization by Interfacial Proteins.

Journal of the American Chemical Society·2025
Same author

Modeling Chemical Reaction Networks Using Neural Ordinary Differential Equations.

Journal of chemical information and modeling·2025
Same author

A Urease-Based pH Photoswitch: A General Route to Light-to-pH Transduction.

Angewandte Chemie (International ed. in English)·2024

Related Experiment Video

Updated: May 8, 2026

Dry Film Photoresist-based Electrochemical Microfluidic Biosensor Platform: Device Fabrication, On-chip Assay Preparation, and System Operation
13:42

Dry Film Photoresist-based Electrochemical Microfluidic Biosensor Platform: Device Fabrication, On-chip Assay Preparation, and System Operation

Published on: September 19, 2017

Reservoir Computing-Based Glucose Sensing With an Enzymatic Reaction Network.

Souvik Ghosh1, Anna C Knox1, Bin Li2

  • 1Institute for Molecules and Materials, Radboud University, Nijmegen, Netherlands.

Angewandte Chemie (International Ed. in English)
|May 7, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces a novel protease-peptide sensor for detecting glucose. The enzymatic system processes glucose into a pH signal, enabling information processing and dynamic response capabilities.

Keywords:
enzymatic reaction networksinformation processinglinear regressionreservoir computationsensors

More Related Videos

Visualizing Monocarboxylates and Other Relevant Metabolites in the Ex Vivo Drosophila Larval Brain Using Genetically Encoded Sensors
07:18

Visualizing Monocarboxylates and Other Relevant Metabolites in the Ex Vivo Drosophila Larval Brain Using Genetically Encoded Sensors

Published on: October 27, 2023

Homogeneous Time-resolved Förster Resonance Energy Transfer-based Assay for Detection of Insulin Secretion
07:30

Homogeneous Time-resolved Förster Resonance Energy Transfer-based Assay for Detection of Insulin Secretion

Published on: May 10, 2018

Related Experiment Videos

Last Updated: May 8, 2026

Dry Film Photoresist-based Electrochemical Microfluidic Biosensor Platform: Device Fabrication, On-chip Assay Preparation, and System Operation
13:42

Dry Film Photoresist-based Electrochemical Microfluidic Biosensor Platform: Device Fabrication, On-chip Assay Preparation, and System Operation

Published on: September 19, 2017

Visualizing Monocarboxylates and Other Relevant Metabolites in the Ex Vivo Drosophila Larval Brain Using Genetically Encoded Sensors
07:18

Visualizing Monocarboxylates and Other Relevant Metabolites in the Ex Vivo Drosophila Larval Brain Using Genetically Encoded Sensors

Published on: October 27, 2023

Homogeneous Time-resolved Förster Resonance Energy Transfer-based Assay for Detection of Insulin Secretion
07:30

Homogeneous Time-resolved Förster Resonance Energy Transfer-based Assay for Detection of Insulin Secretion

Published on: May 10, 2018

Area of Science:

  • Biochemical Engineering
  • Systems Biology
  • Biosensors

Background:

  • Living systems process environmental information for survival.
  • Enzymatic reactions can be harnessed for biosensing applications.

Purpose of the Study:

  • To develop a scalable protease-peptide-based reservoir sensor for glucose detection.
  • To investigate the information processing capabilities of an enzymatic network.

Main Methods:

  • Utilized glucose oxidase (GOx) to convert glucose into a pH signal.
  • Investigated the impact of pH changes on a protease-peptide network.
  • Applied reservoir computation principles to analyze sensor output.

Main Results:

  • The sensor detected glucose stimuli by altering protease activity via pH changes.
  • Demonstrated linear sensing and binary switch-like responses to glucose concentrations.
  • Showcased response to dynamic glucose inputs, including pulse periodicity and amplitude variations.

Conclusions:

  • Developed a versatile enzymatic reservoir sensor for glucose.
  • The system exhibits information processing capabilities inspired by biological systems.
  • Potential applications in dynamic glucose monitoring and complex signal processing.