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The technology involves a sophisticated system designed to detect conditions through the analysis of exhaled breath, utilizing an array of nanomaterial sensors fabricated upon a standard printed circuit board with interdigitated electrodes. These sensors are configured to interact with a sample gas that contains various Volatile Organic Compounds (VOCs) associated with a variety of biological conditions. Each sensor consists of nanomaterials, such as carbon nanotubes, composite nanotubes, nanoparticle-doped nanotubes, or polymer-coated nanotubes, all disposed on an electrically conductive structure. These sensors are highly sensitive to specific VOCs at a broad spectrum of concentrations, and each sensor generates a unique measurable electrical signal on interaction with VOCs in the breath that reflects the presence and concentration of specific components in the sample gas. The previously nanosensor diagnosis technology has been further developed to identify 64 specific formulations of nanomaterials that exhibit unique and varying sensitivities to VOCs, which enables unique response signatures to be developed for a wide range of VOCs. A single device may be developed using these principles to detect a variety of health conditions and diseases.

A hybrid thin film is fabricated by a simple drop-casting method. Functionalized single-walled carbon nanotubes (SWCNTs) and gold nanoparticles (AuNPs) with a diameter of ≈15 nm are drop-casted onto a printed circuit board (PCB) substrate equipped with interdigitated electrodes. The addition of AuNPs to the carbon nanotube networked films enhance sensitivity and lower the detection limit to low parts-per-billion (ppb) concentrations. The gold particle to carbon nanotube ratio is optimized to find the optimum gold nanoparticle loading. The composite films were tested in both air and nitrogen environments across a wide relative humidity range (0-97%), which is suitable for dissolved Nitric Oxide (NO) detection in sea water for oceanographic study and for human breath analysis in medical diagnosis. The sensors exhibited high selectivity, particularly to NO, outperforming other tested gases. Notably, the sensor reliably detected NO at 10 ppb levels with response times within 10 seconds and recovery time around 1 minute, showcasing excellent reproducibility across sensors and operational efficiency within diverse humidity conditions.