Stone, United Kingdom

John Charles Plant


Average Co-Inventor Count = 3.2

ph-index = 1

Forward Citations = 29(Granted Patents)


Company Filing History:


Years Active: 2003-2005

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2 patents (USPTO):Explore Patents

Title: Innovations of John Charles Plant

Introduction

John Charles Plant is a notable inventor based in Stone, GB. He has made significant contributions to the field of detection methods, particularly in identifying infections and microorganisms. With a total of 2 patents, his work showcases innovative approaches to health diagnostics.

Latest Patents

One of his latest patents involves a method for determining infections in liquid samples by detecting short-chain fatty acids and ammonia in the headspace associated with the liquid sample using polymer sensors. This method includes lowering the pH of the liquid sample to drive short-chain fatty acids, particularly acetic acid, to the gaseous phase. It also involves detecting these compounds along with ammonia and, optionally, amine species using sensitive detectors, particularly conductive and semi-conductive polymer sensors. The correlation of these detected substances with the presence of infection is a key aspect of this innovation. Another patent focuses on a method for detecting microorganisms, which includes culturing microorganisms on various media, measuring the cultures, collating the measurements, and correlating them with the presence of the microorganisms.

Career Highlights

John Charles Plant is associated with Osmetech Plc, where he applies his expertise in developing advanced detection technologies. His work has contributed to enhancing diagnostic methods in the medical field.

Collaborations

He has collaborated with notable coworkers such as Janet Elizabeth Manning and Paul James Travers, further enriching his innovative endeavors.

Conclusion

John Charles Plant's contributions to the field of detection methods highlight his innovative spirit and commitment to advancing health diagnostics. His patents reflect a deep understanding of the complexities involved in identifying infections and microorganisms.

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