This inventor holds 2 USPTO granted patents and 1 EPO patent. Top assignee: Cotton Mouton Diagnostics Limited. Active years: 2020-2023.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Location History:
- Exeter, GB (2020)
- Cardiff, GB (2023)
Company Filing History:
Years Active: 2020-2023
Title: Innovations of Raphael Matelon in Liquid Detection Technologies
Introduction
Raphael Matelon is an accomplished inventor based in Exeter, GB. He has made significant contributions to the field of liquid detection technologies, holding 2 patents that showcase his innovative approaches.
Latest Patents
Matelon's latest patents include a "Magneto-optical method and apparatus for detecting analytes in a liquid." This invention provides a method for detecting changes in the state of a liquid by utilizing a detection medium with anisotropic magnetic particles. The process involves applying a modulated magnetic field to align the particles, introducing electromagnetic radiation, and detecting variations associated with the interaction of the radiation and magnetic particles. Another notable patent is the "Method and device for detecting an analyte using phase lag." This method involves using magnetic nanoparticles to detect analytes by correlating physical properties that vary with the orientation of the nanoparticles in a magnetic field.
Career Highlights
Matelon is currently associated with Cotton Mouton Diagnostics Limited, where he continues to develop innovative solutions in the field of diagnostics. His work focuses on enhancing the accuracy and efficiency of analyte detection methods.
Collaborations
Some of Matelon's notable coworkers include Chris Allender and Jenna Bowen, who contribute to the collaborative efforts in advancing the company's diagnostic technologies.
Conclusion
Raphael Matelon's work in liquid detection technologies exemplifies the impact of innovative thinking in the field of diagnostics. His patents reflect a commitment to improving detection methods, which can lead to significant advancements in various applications.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile