Sagnik Basuray
Associate Professor, Chemical & Materials Engineering
387 Tiernan Hall (TIER)
About Me
Sagnik is an assistant professor in the Department of Chemical, Biological and Pharmaceutical Engineering in the College of Engineering. He is working collaboratively with many life science researchers to stimulate novel, innovative and potentially high-risk research projects in nano/bio technology areas. His areas of expertise include developing chemical and biological sensors using nano/microfluidics and nanotechnology platforms; studying metal/dielectric/bio interfaces like SERS and Plasmonics; electrodynamic and electrohydrodynamic simulations from bulk to nano. He has been instrumental in developing lab on a chip technology for the last five years with collaborators from biology, biochemistry, biomedical and medicine. Some of the specific projects related to biomedical applications include an electro-chemical, label-free, cost-effective, carbon nanotube and shear discrimination, based diagnostic device; nano-fluidic based label-free, electrochemical sensor as alternative to real-time or quick PCR (qPCR); optical nanobio sensors for FRET and SERS studies of single molecule. He is the first to show the dependence of nonlinear electrokinetic effects on the capacitive double layer and design assays based on this physical insights. The corresponding papers of Sagnik are highly cited. He has been successful in the development and commercialization of technology through the license of multiple patents. He has guided in an advisory role to many MS students and is currently supervising a Ph.D. student. Due to the interdisciplinary nature of his projects, his graduate students often work with faculty from many disciplines. His current research thrusts are; (1) Developing a Multidisciplinary Platform for Single Cell Analysis using Microfluidics, Biomedical Imaging, Computation, Drug Delivery, Galvanotactics (Roman Voronov, CBPE), (2) Two layered microfluidic device with nanofluidics gates, μTRANS – Micro Total-Analytical Neurological System and μFILMS to study pharmaceutical films (James Haorah, BME; Ecevit Bilgili, CBPE), (3) Combining Surface Dielectrophoresis with microfluidic Lego blocks for developing a Sweat sensor, (4) Investigating additive manufacturing techniques chiefly 3D printing for making microfluidics devices with nano-ordered geometry and printed circuits (Wen Zhang, CE; Gal Haspel, BE)).
Education
Ph.D. ; University of Notre Dame ; Chemical And Bio-Molecular Engineering ; 2010

B.S. ; Indian Institute of Technology ; Achelor Of Technology Chemical And Bio-Molecular Engineering ; 2003

Past Courses
CHE 210: CHEMCL PROC CALCULATIONS I

CHE 210W: CHEM PROCESS CALC I WORKSHOP

CHE 380: INTRO TO BIOTECHNOLOGY

CHE 489: PROCESS DYNAMICS AND CONTROL

CHE 495: CHEMICAL ENGINEERING LAB I

CHE 624: TRANSPORT PHENOMENA

CHE 626: MATH METHODS IN CHEM ENG

CHE 791: GRADUATE SEMINAR

Journal Article
Lixin Feng, Yufeng Song, Sagnik Basuray, Kamalesh K. Sirkar. 2024. " IgG-BSA Separation and Purification by Internally Staged Ultrafiltration ." Separation and Purification Technology , vol. 354 , pp. 129245 .

Kamalesh K. Sirkar, Lixin Feng, Yufeng Song, Sagnik Basuray. 2023. "Hemoglobin-BSA Separation and Purification by Internally Staged Ultrafiltration ." Separation and Purification Technology , vol. 312, 123363 (2023) , no. 312, 123363 (2023) , pp. 123363.

Li Zhenglong, Yu-Hsuan Cheng, Charmi Chande, Sagnik Basuray. 2022. "A highly sensitive, easy-and-rapidly-fabricable microfluidic electrochemical cell with an enhanced three-dimensional electric field." Analytica Chimica Acta , pp. 340488.

Sreerag Kaaliveetil, Juliana Yang, Saud Assaidy, Li Zhenglong, Yu-Hsuan Cheng, Niranjan Haridas, Charmi Chande, Sagnik Basuray. 2022. "Microfluidic Gas Sensors: Detection Principle and Applications." Micromachines , vol. 13 , pp. 1716.

Qingquan Ma, Joshua Young, Sagnik Basuray, Guangming Chen, Jianan Gao, Nan Yao, Wen Zhang. 2022. "Elucidating facet dependent electronic and electrochemical properties of Cu2O nanocrystals using AFM/SCEM and DFT." Nano Today , vol. 45 , pp. 101538.

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Conference Proceeding
"Machine learning-driven calibration in impedimetric biosensors"
Artificial Intelligence in Biosensors.

Conference Paper
"Sensitive and Selective Determination of multiple Diagnostic Targets using a Modular, ASSURED POC Platform called ESSENCE"
IEEE, January (1st Quarter/Winter), 2022.

Other
"Corrigendum: “Functionalized carbon nanotube doped gel electrolytes with enhanced mechanical and electrical properties for battery applications” (Materials Chemistry and Physics (2021) 264, (S0254058421002315), (10.1016/j.matchemphys.2021.124448))"
Materials Chemistry and Physics, January (1st Quarter/Winter), 2021.