Volatile Sensing

✨ Volatile Sensing

The need to detect specific gases is critical across a wide range of industries, including breath analysis for disease diagnosis, hazardous waste identification and classification, food spoilage detection, air quality monitoring and more. The most accurate measurements require bulky, expensive equipment such as infrared spectroscopy, gas chromatography, and mass spectroscopy. These typically require trained personnel and, for many applications, necessitate off-site analysis. Meanwhile, although portable sensors are employed in practice, they tend to either be useful for only a specific subset of analytes (e.g., personal toxic gas safety monitors) or respond nondiscriminately to a range of analytes (e.g., chemiresistive sensors). Most of these are also unable to discern complex mixtures of components. 

We take inspiration from Nature, which has  produced a versatile and powerful chemical sensor: even the human nose can distinguish numerous odors at concentrations as low as 0.2 parts per billion. Our work is to progressively apply bio-inspired principles to enhance the sensing capabilities of artificial sensors. These include implementing sniffing,  geometries and fluid dynamics to augment differences between different molecules, and machine learning to act as the 'brain' to discern different compounds. 

enose

Publications

2023

Brandt S, Pavlichenko I, Shneidman A V, Patel H, Tripp A, Wong TSB, Lazaro S, Thompson E, Maltz A, Storwick T, et al. Nonequilibrium sensing of volatile compounds using active and passive analyte delivery. Proceedings of the National Academy of Sciences of the United States of America. 2023;120(31):e2303928120. doi:10.1073/pnas.2303928120
Brandt S, Pavlichenko I, Shneidman A V, Patel H, Tripp A, Wong TSB, Lazaro S, Thompson E, Maltz A, Storwick T, et al. Nonequilibrium sensing of volatile compounds using active and passive analyte delivery. Proceedings of the National Academy of Sciences of the United States of America. 2023;120(31):e2303928120. doi:10.1073/pnas.2303928120

2022

Yao Y, Bennett RKA, Xu Y, Rather AM, Li S, Cheung TC, Bhanji A, Kreder MJ, Daniel D, Adera S, et al. Wettability-based ultrasensitive detection of amphiphiles through directed concentration at disordered regions in self-assembled monolayers. Proceedings of the National Academy of Sciences of the United States of America. 2022;119(43):e2211042119. doi:10.1073/pnas.2211042119
Yao Y, Bennett RKA, Xu Y, Rather AM, Li S, Cheung TC, Bhanji A, Kreder MJ, Daniel D, Adera S, et al. Wettability-based ultrasensitive detection of amphiphiles through directed concentration at disordered regions in self-assembled monolayers. Proceedings of the National Academy of Sciences of the United States of America. 2022;119(43):e2211042119. doi:10.1073/pnas.2211042119