Artificial Olfaction Technologies: Characteristics And Analytical Applications

· Comprehensive Analytical Chemistry 110권 · Elsevier
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Artificial Olfaction Technologies: Characteristics And Analytical Applications explores the rapidly advancing field of artificial olfaction, highlighting innovative technologies that mimic the biological sense of smell for the precise detection of volatile organic compounds (VOCs). The book's chapters provide comprehensive insights into the latest advancements, covering topics such as Artificial olfactory systems: mimicking the sense of smell, Advances in Artificial Olfaction using Insect Odorant Receptors, Biosensors based on insects' olfactory proteins, The Power of Volatilome Analysis in Urological Malignancies, and much more.Other chapters cover Biofluorometric sniffing technologies for measuring and imaging of human-borne volatile markers, The use of instrumental measurements to assess the quality of atmospheric air in terms of odors, Analytical and sensory methods in assessing the efficiency of gas deodorization installations, Advancements in the development of peptide- based biosensors, and Porphyrinoids-based sensors for artificial olfaction. - Provides an in-depth exploration of biomimetic sensor technologies, including applications for insect olfactory proteins and porphyrinoid-based systems - Presents diverse applications in fields such as disease diagnostics, environmental pollutant monitoring, and scent standardization - Focuses on innovative data processing methods and sampling techniques to improve olfactory sensing device performance and selectivity

저자 정보

Tomasz Wasilewski received his PhD from the Medical University of Gdańsk in 2020, specializing in the development of peptide-based biosensors for the analysis of volatile organic compounds (VOCs). Employed at the Department of Inorganic Chemistry since 2016, he focuses his research on advancing technologies in bioelectronics, peptide-based biosensors, piezoelectric sensors, and both electronic and bioelectronic noses. His recent work explores the design and application of olfactory receptor-mimicking peptides as stable biorecognition layers in biosensors, targeting the detection of disease-related volatile biomarkers, such as aldehydes associated with early-stage lung cancer.

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