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

You might also read

Related Articles

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

Sort by
Same author

A Portable Fluorometer for the Detection of Glyphosate.

Biosensors·2026
Same author

Real-time simultaneous monitoring of multiple analytes in bacterial cultures.

Applied and environmental microbiology·2025
Same author

Innovative Technologies for Kidney Research: Three-Dimensional Imaging and Quantification.

Seminars in nephrology·2025
Same author

Feature-driven whole-tissue imaging with subcellular resolution.

Cell reports methods·2025
Same author

Altered renal vascular patterning reduces ischemic kidney injury and limits age-associated vascular loss.

American journal of physiology. Renal physiology·2025
Same author

Feature-Driven Whole-Tissue Imaging with Subcellular Resolution.

bioRxiv : the preprint server for biology·2025

Related Experiment Video

Updated: Dec 9, 2025

Wide-Field, Real-Time Imaging of Local and Systemic Wound Signals in Arabidopsis
06:50

Wide-Field, Real-Time Imaging of Local and Systemic Wound Signals in Arabidopsis

Published on: June 4, 2021

5.4K

Engineering a fluorescence biosensor for the herbicide glyphosate.

Pierre-Emmanuel Y N'Guetta1, Maggie M Fink1, Shahir S Rizk1

  • 1Department of Chemistry and Biochemistry, Indiana University, South Bend, IN 46615, USA.

Protein Engineering, Design & Selection : PEDS
|September 15, 2020
PubMed
Summary
This summary is machine-generated.

A new biosensor detects glyphosate, a common herbicide linked to health risks, in water and soil. This engineered protein offers a sensitive method for monitoring environmental glyphosate levels, enhancing public safety.

Keywords:
RoundUpbiosensorconformational couplingfluorescenceglyphosateperiplasmic-binding protein

More Related Videos

High-throughput Screening and Biosensing with Fluorescent C. elegans Strains
14:53

High-throughput Screening and Biosensing with Fluorescent C. elegans Strains

Published on: May 19, 2011

18.3K
Visualizing Cellular Gibberellin Levels Using the nlsGPS1 Förster Resonance Energy Transfer (FRET) Biosensor
08:53

Visualizing Cellular Gibberellin Levels Using the nlsGPS1 Förster Resonance Energy Transfer (FRET) Biosensor

Published on: January 12, 2019

11.2K

Related Experiment Videos

Last Updated: Dec 9, 2025

Wide-Field, Real-Time Imaging of Local and Systemic Wound Signals in Arabidopsis
06:50

Wide-Field, Real-Time Imaging of Local and Systemic Wound Signals in Arabidopsis

Published on: June 4, 2021

5.4K
High-throughput Screening and Biosensing with Fluorescent C. elegans Strains
14:53

High-throughput Screening and Biosensing with Fluorescent C. elegans Strains

Published on: May 19, 2011

18.3K
Visualizing Cellular Gibberellin Levels Using the nlsGPS1 Förster Resonance Energy Transfer (FRET) Biosensor
08:53

Visualizing Cellular Gibberellin Levels Using the nlsGPS1 Förster Resonance Energy Transfer (FRET) Biosensor

Published on: January 12, 2019

11.2K

Area of Science:

  • Environmental Science
  • Biotechnology
  • Toxicology

Background:

  • Glyphosate, a widely used herbicide, is linked to increased non-Hodgkin's lymphoma risk.
  • Accurate detection of glyphosate in environmental samples is crucial for public health.
  • Existing monitoring methods may lack the speed or sensitivity required for widespread application.

Purpose of the Study:

  • To develop a novel biosensor for detecting glyphosate.
  • To engineer a phosphonate-binding protein (PhnD) from Escherichia coli for specific glyphosate recognition.
  • To enable rapid and sensitive quantification of glyphosate in environmental matrices.

Main Methods:

  • Site-directed mutagenesis was employed to modify the PhnD protein's binding pocket for glyphosate specificity.
  • A fluorescent reporter group was incorporated into the engineered protein to signal glyphosate binding.
  • The biosensor's performance was evaluated using tap water and soil samples spiked with glyphosate.

Main Results:

  • The engineered biosensor successfully detected glyphosate in both tap water and soil samples.
  • Detection limits were achieved at submicromolar concentrations, significantly below US drinking water standards.
  • The fluorescence signal correlated with glyphosate concentration, enabling quantitative analysis.

Conclusions:

  • An engineered Escherichia coli phosphonate-binding protein (PhnD) serves as a sensitive glyphosate biosensor.
  • This biosensor provides a viable tool for rapid and continuous monitoring of glyphosate in environmental samples.
  • The developed technology can contribute to improved public safety by assessing glyphosate contamination.