Advitiya Mahajan

Title: Advitiya Mahajan: Innovator in Biospecimen Storage and Microbial Detection

Introduction

Advitiya Mahajan is a notable inventor based in Falcon Heights, MN (US). He has made significant contributions to the fields of biospecimen storage and microbial detection. With a total of 2 patents, his work is paving the way for advancements in medical technology.

Latest Patents

Mahajan's latest patents include innovative compositions and methods for storing liquid biospecimens. One of his notable inventions is a lyoprotectant composition that includes one or more lyoprotective carbohydrates, such as dextranol. This composition is designed to be free of or substantially free of reducing sugars and can be formed into a matrix of non-woven fibers. The method for storing a liquid biospecimen involves mixing it with the lyoprotectant composition, drying it, and then storing the dried specimen-loaded composition.

Another significant patent is a system for microbial species detection, quantification, and antibiotic susceptibility identification. This invention utilizes several microfluidic chips to accelerate the identification and quantification of microbes in biological samples. The chips are designed to test for antibiotic resistance, particularly in urinary tract infections, and can reduce the time required for such testing by as much as 95%.

Career Highlights

Advitiya Mahajan has worked with reputable organizations, including the University of Minnesota and Urinary Technologies, Inc. His experience in these institutions has contributed to his expertise in the field of biospecimen storage and microbial detection.

Collaborations

Throughout his career, Mahajan has collaborated with notable individuals such as Bryan D. Jones and Alptekin Aksan. These collaborations have further enhanced his research and development efforts.

Conclusion

Advitiya Mahajan's innovative work in biospecimen storage and microbial detection showcases his commitment to advancing medical technology. His patents reflect a deep understanding of the challenges in these fields and offer promising solutions for future applications.