Audubon, PA, United States of America

Ying-Hsiu Su

USPTO Granted Patents = 4 

Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 3(Granted Patents)


Company Filing History:


Years Active: 2013-2022

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4 patents (USPTO):Explore Patents

Title: Innovations of Ying-Hsiu Su

Introduction

Ying-Hsiu Su is a notable inventor based in Audubon, Pennsylvania. He has made significant contributions to the field of sensor technology, particularly through his innovative work on piezoelectric plate sensors. With a total of four patents to his name, Su's inventions have the potential to impact various medical diagnostics.

Latest Patents

One of Ying-Hsiu Su's latest patents is the "Piezoelectric plate sensor and uses thereof." This invention comprises a piezoelectric layer, two electrodes, and an insulation layer. The insulation layer is created by soaking the piezoelectric layer and electrodes in a mercaptopropyltrimethoxysilane solution, with specific parameters for water content and pH. This innovative sensor allows for the detection of biomolecules in samples, particularly genetic markers, with PCR sensitivity and specificity, eliminating the need for DNA isolation or amplification. The applications of this sensor extend to diagnosing various diseases, including breast cancer, myocardial infarction, diarrhea, infections, and hepatitis B infection.

Career Highlights

Ying-Hsiu Su has worked with reputable institutions such as Drexel University and the Philadelphia Health and Education Corporation. His experience in these organizations has contributed to his expertise in sensor technology and medical diagnostics.

Collaborations

Some of his notable coworkers include Wan Y Shih and Wei Wu. Their collaborative efforts have likely enhanced the development and application of Su's innovative technologies.

Conclusion

Ying-Hsiu Su's contributions to the field of sensor technology, particularly through his piezoelectric plate sensor, demonstrate his commitment to advancing medical diagnostics. His work has the potential to significantly improve disease detection and patient outcomes.

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