Shanghai, China

Xiao-tian Fu

This inventor holds 1 USPTO granted patent. Top assignee: Tongji University. Active years: 2014.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Xiao-tian Fu. Retrieved from https://idiyas.com/inventor/xiao-tian-fu

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2014

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1 patent (USPTO):Explore Patents

Title: Innovations of Inventor Xiao-tian Fu

Introduction

Xiao-tian Fu is a notable inventor based in Shanghai, China. He has made significant contributions to the field of materials science, particularly in the development of advanced compositions for detecting lead ions.

Latest Patents

Xiao-tian Fu holds a patent for "Polypyrrole copolymer nanoparticles-based compositions and methods for detecting lead ions." This patent describes compositions that contain vinyl polymers and ionophores selective for lead ions, such as polypyrrole copolymers. The methods outlined in the patent provide innovative approaches for detecting lead ions in various samples.

Career Highlights

Xiao-tian Fu is affiliated with Tongji University, where he engages in research and development activities. His work focuses on creating materials that can enhance detection methods for hazardous substances, contributing to environmental safety and public health.

Collaborations

He has collaborated with colleagues Mei-rong Huang and Xin-gui Li, who share his commitment to advancing research in this critical area.

Conclusion

Xiao-tian Fu's innovative work in developing lead ion detection methods showcases his expertise and dedication to improving safety through scientific advancements. His contributions are valuable to both academia and industry.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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