Undergraduate Research Opportunities

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Multiplexed Molecularly Imprinted Polymer (MIP) Biosensor for Simultaneous Cytokine and Lactate Detection in Sweat

Project Description:

This project aims to develop a next-generation wearable biosensing platform that combines molecularly imprinted polymers (MIPs) with a vertical organic electrochemical transistor (V-OECT) for multiplexed, real-time detection of cytokines and lactate in human sweat. The integrated MIP–V-OECT system offers high sensitivity and selectivity by coupling molecularly tailored recognition sites with transistor-based signal amplification, enabling detection of both inflammatory and metabolic biomarkers associated with sepsis and other immune-related conditions. Students involved in this project will participate in the fabrication and functionalization of MIP-based sensing layers, integration of these interfaces with the V-OECT architecture, and electrochemical/electrical characterization of sensor performance. They will also gain experience in microfluidic design, data acquisition, and calibration methods for multiplexed biosensing. The interdisciplinary nature of this work bridges materials science, bioengineering, and electronic device design to advance continuous, noninvasive health monitoring for early disease detection.

Faculty Name and Email:

Farnaz Lorestani fkl5072@psu.edu

Research Area(s):

Wearable and flexible Biosensor

Number of Available Positions:

2

Project Start Date:

Spring 2026

Remote or In-Person or Hybrid?

In-person (lab-based)

Estimated Time Commitment:

8–10

Potential for Summer Research Continuation:

Maybe

Potential for Research Credit (496/497) or Independent Study:

Yes

Required Courses or Skills:

Completion of or concurrent enrollment in courses such as Materials Characterization, Electrochemistry, Biomaterials, or Micro/Nanofabrication is helpful. Basic laboratory experience in solution preparation, electrode handling, and instrumentation. Strong interest in biosensors, wearable devices, or biomedical applications.

Preferred Student Background:

Background in materials science, bioengineering, chemical engineering, or electrical engineering.