期刊
ACS SENSORS
卷 -, 期 -, 页码 -出版社
AMER CHEMICAL SOC
DOI: 10.1021/acssensors.2c02852
关键词
artificial olfaction; sensor arrays; machine learning; autonomous systems; chemical sensing; sensory modulation; adaptive sensing
Animals have evolved to sense in complex environments using modulation behavior and sophisticated neural processing. In this study, thermal modulation of chemically diverse sensor arrays is explored to capture both diagnostic patterns and intensity information in complex environments.
Animals have evolved to sense in complex environments through both modulation behavior including sniffing as well as sophisticated neural processing including memory and neuromodulation. Here, we explore thermal modulation of chemically diverse sensor arrays, where response patterns are based on partitioning of odorants across the array. The differential response patterns contain information about the chemical nature of the odorant for identification. By transitioning away from well-defined concentration modulation, traditionally used in the field, to thermal modulation, it is possible to capture both diagnostic patterns as well as intensity information in complex environments. This performance is demonstrated with carbon-black based, chemically diverse sensor arrays, that are thermally modulated with light at 25 mHz exposed to different analytes of varying concentrations.
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