This inventor holds 1 USPTO granted patent. Top assignee: Yonsei University. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Soomin Ahn: Inventor of Gold Nanocluster-Based Biosensing Technology.
Introduction
Soomin Ahn is an inventor associated with Yonsei University in Seoul, South Korea. Her reported patent work focuses on gold nanoclusters and their potential applications in dopamine detection, neurological disease diagnosis, and glycoprotein analysis.
Latest Patents
Ahn is associated with one patent: “Gold Nanoclusters, Dopamine Biosensors Including Them, and Methods for Diagnosing Neurological Diseases Using the Same.” The invention describes gold nanoclusters for use in a dopamine biosensor designed to provide reliable detection across a wide range. It also presents methods for quantifying dopamine and diagnosing neurological diseases, with an emphasis on selective dopamine detection.
The patent further describes using the nanoclusters to concentrate glycoproteins, aiming to improve concentration efficiency while minimizing nonspecific binding. A related method analyzes disease-specific glycoproteins by comparing samples from patient and normal groups, with the goal of supporting disease diagnosis.
Career Highlights
Ahn’s reported patent portfolio includes 1 patent. The disclosed invention connects nanomaterials with biosensing and diagnostic methods, addressing both dopamine measurement and glycoprotein analysis.
Collaborations
The patent information names Dongil Lee and Hongmei Xu as Ahn’s coworkers. The work is associated with Yonsei University.
Conclusion
Soomin Ahn’s reported invention explores how gold nanoclusters may support dopamine biosensing, neurological disease diagnosis, and disease-specific glycoprotein analysis.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
