Document Type
Thesis
Date of Award
Fall 1-31-2017
Degree Name
Master of Science in Chemical Engineering - (M.S.)
Department
Chemical, Biological and Pharmaceutical Engineering
First Advisor
S. Basuray
Second Advisor
Robert Benedict Barat
Third Advisor
Laurent Simon
Fourth Advisor
Dong Kyun Ko
Abstract
Electrochemical sensors and biosensors have received much attention owing to the feasibility demonstrated regarding instrumental simplicity, decent cost, and portability during the detection of a wide range of biological and pharmaceutical macromolecules. Carbon-based nanomaterials, including carbon nanotubes, have garnered tremendous interest for their unique thermal, mechanical, electronic and catalytic properties while designing these sensors. Whenever the macromolecules interact with a bio-recognition element on the electrode transducer surface, a measurable change in the electrical current or potential takes place. To achieve lower limits of detection, the use of sensor surfaces modified with nanostructured materials such as nanotubes, or nanoparticles is becoming increasingly significant. The study aims to design a CNT-based electrochemical glass sensor which purifies monoclonal antibody in the presence of its biorecognition element (e.g. an antigen). The system utilizes an open-flow carbon nanotube platform for monoclonal antibody purification using impedance-based sensing (EIS). The open flow allows rapid concentration of the target molecules and shear-enhanced specificity leading to maximum hydrodynamic shear force. Interdigitated electrodes are used to trap multi-walled carbon nanotubes. The principals involved in fabricating such a device can be applied for the detection of some other pharmaceutical molecules. At the same time, CNTs replaced by ZnO and Al2O3 based nanomaterials can also be taken into account for detection of various macromolecules for better sensitivity and better specificity.
Recommended Citation
Mursalat, Mehnaz, "Eis analysis of shear enhanced microfluidic lab-on-a-chip device" (2017). Theses. 5.
https://digitalcommons.njit.edu/theses/5
