Fujian, China

Yongzeng Li


Average Co-Inventor Count = 9.0

ph-index = 1


Company Filing History:


Years Active: 2013-2021

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2 patents (USPTO):Explore Patents

Title: Innovations by Yongzeng Li

Introduction

Yongzeng Li is a notable inventor based in Fujian, China. He has made significant contributions to the field of detection methods using advanced spectroscopy techniques. With a total of two patents to his name, his work focuses on improving diagnostic methods for medical applications.

Latest Patents

Yongzeng Li's latest patents include a "Detection and analysis method for urine-modified nucleoside based on surface-enhanced resonance Raman spectroscopy." This invention discloses a method that utilizes surface-enhanced resonance Raman spectroscopy technology to extract tumor marker modified nucleosides from urine samples. The method demonstrates high specificity, sensitivity, and accuracy, providing a rapid and objective detection tool for diagnosing esophagus cancer.

Another significant patent is the "Body fluid detection method using surface enhanced Raman spectroscopy." This invention outlines a method for separating biological macromolecules in body fluid samples using membrane electrophoresis. The process enhances the quality of SERS spectra, allowing for effective differentiation between body fluids from healthy individuals and patients.

Career Highlights

Yongzeng Li has worked at Fujian Normal University, where he has contributed to research and development in the field of spectroscopy. His innovative approaches have garnered attention in the scientific community, particularly for their potential applications in medical diagnostics.

Collaborations

Yongzeng Li has collaborated with notable colleagues such as Shangyuan Feng and Zufang Huang. Their combined expertise has further advanced the research and development of innovative detection methods.

Conclusion

Yongzeng Li's contributions to the field of spectroscopy and medical diagnostics highlight his role as a significant inventor. His patents reflect a commitment to improving detection methods, which can have a profound impact on healthcare.

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