La Jolla, CA, United States of America

Sunil Srivastava


Average Co-Inventor Count = 8.0

ph-index = 1


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Innovations by Sunil Srivastava in Pathogen Detection

Introduction

Sunil Srivastava is an accomplished inventor based in La Jolla, California. He has made significant contributions to the field of pathogen detection, particularly in health care-related and environmental samples. His innovative work focuses on developing methods and devices that enhance the detection of pathogens, including viruses such as SARS-COV-2.

Latest Patents

Sunil Srivastava holds a patent for "Methods and devices for detecting a pathogen and its molecular components." This patent discloses methods, systems, and devices designed to detect the presence of pathogens and their molecular components. An example of his system includes a biosensor device that features a detection chip and at least one probe specifically recognizing a pathogen. The detection chip comprises a graphene field-effect transistor (FET) chip, while the probe, which includes an aptamer, specifically binds to DNA, RNA, or proteins associated with the pathogen. This innovative approach significantly improves the detection capabilities in various applications.

Career Highlights

Throughout his career, Sunil Srivastava has focused on advancing technologies that address critical health challenges. His work has been instrumental in developing solutions that can be applied in real-world scenarios, particularly in the context of public health and safety.

Collaborations

Sunil has collaborated with notable colleagues, including Deependra Kumar Ban and Ratnesh Lal, to further enhance the impact of his research and innovations. Their combined expertise has contributed to the development of effective detection methods and devices.

Conclusion

Sunil Srivastava's innovative contributions to pathogen detection exemplify the importance of research and development in addressing health-related challenges. His patented methods and devices represent a significant advancement in the field, showcasing the potential for improved detection technologies.

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