Nano-confinement Based Platforms for Screening Bio-recognition Elements and Multiplexed Sensing
Abstract
Tools for assessment of biomarkers of human performance and augmentation to enhance resilience to stress for promoting vigilance among field personnel of the Department of Defense is a central vision of AFOSR. This requires platforms capable of identifying receptors capable of recognizing key neurochemical human performance biomarkers and platforms to monitor biomarker expression profiles under perturbations. Using nanoscale confinement strategies to alleviate diffusional transport limitations, this project seeks to develop biofunctionalized material and device platforms for selecting receptors based on chemical binding affinity characteristics to biomarkers and signal amplification schemes to enhance detection sensitivity. This joint US-Taiwan project funded by AFOSR (US) and MOST (Taiwan) involved the Swami group at University of Virginia focused on detection platforms and the Chou group at Academia Sinica, Taiwan, focused on receptor screening platforms, while AFRLs 711th Human Performance Wing (Chavez group) supported the team on biomarker selection. Key collaborative highlights include microfluidic integration of nanoporous gold electrodes for redox amplification (Electrochimica Acta 2019, 318, 828-836) and its application towards sensitive detection of secreted metabolites for rapid determination of minimum bactericidal concentration levels (Sens. Act. B: Chem. 2020, 312, 127936); nanoconfinement to enhance crystal growth for creation of high aspect ratio defect-free porous metal organic framework crystals that enable selective enrichment of analytes (Nanoscale Advances 2019, 1, 2946-2952), nano-confined fluidics for screening receptors to biomarkers (Sens Act B: Chem 2018, 274, 338-342; Macromolecules 2020, 53, 1001-1013), including for SARS COV2 spike proteins (Scientific Reports 2021, 11 (1), 1-10); novel optofluidic (Biosens. Bioelectron. 2019, 142, 111545) and acoustic impedance detection methods (ACS Sensors 2021, 6, 3765-3772).
Document Details
- Document Type
- Technical Report
- Publication Date
- Jun 23, 2022
- Accession Number
- AD1215798
Entities
People
- Chia-Fu Chou
- Nathan S. Swami
Organizations
- University of Virginia