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Years Active: 2008
Title: Gabrielle Stryker: Innovator in Diagnostic Technology
Introduction
Gabrielle Stryker is a prominent inventor based in Rochester Hills, MI (US). She has made significant contributions to the field of diagnostic technology, particularly through her innovative work on piezoimmunosensors. Her inventions have the potential to enhance real-time diagnostic processes, making them more efficient and effective.
Latest Patents
Gabrielle Stryker holds a patent for a Piezoimmunosensor. This apparatus comprises one or more piezoelectric mass sensors designed for use in diagnostic and analytic processes. It is particularly focused on the immunochemical detection of diagnostically relevant analytes in real time. Each piezoelectric mass sensor features a piezoelectric crystal with a receptor surface that has immobilized a lawn of recombinant antibodies. These antibodies consist of single Vchain or single-chain Fv (scFv) polypeptides that are specific for particular antigens. The binding of antigens to these recombinant antibodies results in a change in mass on the receptor surface, which is detected as a change in resonant frequency. In a preferred embodiment, the receptor layer is made of a precious metal, such as gold, which facilitates the self-assembly of the recombinant antibodies.
Career Highlights
Throughout her career, Gabrielle Stryker has worked with esteemed institutions, including Oakland University and Vanderbilt University. Her work has been instrumental in advancing the field of diagnostic technology, and she has established herself as a leading figure in this area.
Collaborations
Gabrielle has collaborated with notable colleagues, including Xiangqun Zeng and Raymond Mernaugh. These collaborations have further enriched her research and development efforts.
Conclusion
Gabrielle Stryker's innovative contributions to diagnostic technology, particularly through her piezoimmunosensor patent, highlight her role as a significant inventor in the field. Her work continues to pave the way for advancements in real-time diagnostic processes.