J. Grey, E. Westphal, M. Holzmann, K. Ghosh
Sandia National Laboratories,
United States
Keywords: carbon dots, inkjet printing, hyperspectral imaging, quantum imaging detection
Summary:
We introduce a new bottom-up sensing platform based on inexpensive and non-toxic carbon-based nanomaterials as active sensor elements by inkjet printing. Carbon dots have exciting attributes sought for next-generation optoelectronic applications and devices but can be limited by heterogeneity effects. By understanding and controlling their structure-property relationships we leverage their tunable optical properties and surface recognition factors for new printable detection applications. A compact hyperspectral imaging approach is then used to facilitate correlative reconstruction to enable sampling with a cell phone camera. This capability allows for handheld sampling and we construct libraries of analyte classes using supervised and unsupervised AI/ML tools to expedite critical decision making. New quantum-inspired sampling modes are introduced that can add new detection modalities with superior sensitivity and selectivity.