Integration of Biomolecular Recognition Elements with Solid-State Nano-Devices for Chemical Sensors with Specificity
Abstract
We investigated nanomaterials and nanodevices for chemical sensors with applications in explosives detection The work addresses limitations of existing chemical sensors for not only detecting, but also identifying chemical signatures in open air environments. The work is organized around a "large N" hypothesis, which proposes that robust chemical detection in open environments can be achieved using large arrays of nanoscale elements integrated into sensor chips made using microfabrication technology. Arrays of 64 individually addressable sensing elements were analyzed by machine learning using methods that are scalable to sensor chips with hundreds, thousands, or even more independent elements.
Document Details
- Document Type
- Technical Report
- Publication Date
- Aug 29, 2019
- Accession Number
- AD1080221
Entities
People
- Brian G. Willis
Organizations
- University of Connecticut