Shramik Sengupta

Shramik Sengupta

Shramik Sengupta, Associate Professor

Biomedical, Biological & Chemical Engineering

Shramik Sengupta


Shramik Sengupta is an associate professor with the Department of Biomedical, Biological and Chemical Engineering. His current research is focusing on multi-frequency impedance measurement for the rapid detection of Johne’s Disease and antibiotic susceptibility in clinical samples, and nano-particle aided separation and detection of pathogens.

Nano and Microfluidic Systems for Bio-Diagnostics. His current research is focusing on:

  • Multi-frequency impedance measurement for the rapid detection of Johne’s Disease
    Johne’s Disease is one of the most prevalent chronic diseases in ruminants causing extensive losses to the US cattle industry (estimated to be ~ $ 1.5 Billion annually). Due to the slow-growing nature of the causative organism, Mycobacterium avium ssp. paratuberculosis, it currently takes 10-45 days to detect the presence of the causative bacterium in test samples. Sengupta and William Fales, Ph.D., propose to develop a microfluidic platform and an electrical impedance based measurement technique to provide the same information in one-fourth the time (or even quicker). The technique relies on the effects of microfluidic geometry and the ability of individual live bacteria to store electric charge to pick up signatures of bacterial proliferation (or lack thereof) in liquid media. The microfluidic platform also potentially enables a large number of experiments in parallel in cheap disposable cassettes, thereby cutting diagnostic costs as well. Collaborator: William Fales, Ph.D., (Veterinary Pathobiology)
  • Multi-frequency impedance measurement for the rapid detection of antibiotic susceptibility in clinical samples (e.g. blood cultures)
    Essentially, the same core technology used for the previous (Johne’s Disease) project, can, with modifications, be utilized to rapidly estimate the antibiotic susceptibility profile of various pathogens. Preliminary experiments indicate that they can establish the antibiotic susceptibility profiles of fast growing bacteria (such as E coli) in less than 7 hours (as opposed to 2-5 days using currently used technologies).
  • Nano-particle aided separation and detection of pathogens
    “Real world” samples, whether clinical, food or environmental typically contain target pathogens at either concentrations too low to be detected, or mixed with many other species. Sengupta, Shubhra Gangopadhyay, Ph.D. and Luis Polo-Parada, Ph.D., are looking at how to use nano-particles (conjugated to antibodies) to enhance both the separability and the detectability of target species/strains. At this point, they are looking to develop a generic platform that can, in the future, be tailored to specific applications in the environmental, food science, medical diagnostics, and bio-defense areas. Collaborators: Shubhra Gangopadhyay, Ph.D., (LaPierre Chair and Joint Professor, Departments of Electrical Engineering; Biomedical, Biological and Chemical Engineering; and Physics) and Luis Polo-Parada, Ph.D., (Medical Pharmacology and Physiology)


  • Postdoctoral Training at the University of Notre Dame
  • PhD from the University of Minnesota
  • MS from the University of Colorado at Boulder

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