BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:Europe/London BEGIN:DAYLIGHT DTSTART:20250330T020000 TZOFFSETFROM:+0000 TZOFFSETTO:+0100 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3 TZNAME:BST END:DAYLIGHT BEGIN:STANDARD DTSTART:20241027T010000 TZOFFSETFROM:+0100 TZOFFSETTO:+0000 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10 TZNAME:GMT END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20241220T115359Z UID:CD6BA94D-79DF-4EBD-86EF-1983B0BF175E DTSTART;TZID=Europe/London:20241127T130000 DTEND;TZID=Europe/London:20241127T140000 DESCRIPTION:Next Generation of Gas Sensors: Anticipated and Unanticipated A dvantages Over Last-Century Designs\n\nIt is conventionally expected that the performance of existing gas sensors may degrade in the field compared to laboratory conditions because (i) a sensor may lose its accuracy in the presence of chemical interferences and (ii) variations of ambient conditi ons over time may induce sensor-response fluctuations (i.e.\, drift). Brea king this status quo in poor sensor performance requires understanding the origins of design principles of existing sensors and bringing new princip les to sensor designs. Existing gas sensors are singleoutput (e.g.\, resis tance\, electrical current\, work function\, light intensity) sensors\, al so known as zero-order sensors. Any zero-order sensor is undesirably affec ted by variable chemical background and sensor drift that cannot be distin guished from the response to an analyte. In this lecture\, we will demonst rate that to address these limitations\, multivariable gas sensors are eme rging as the next generation reliable analytical devices. Multivariable ga s sensors (also known as intelligent sensors\, multiparameter sensors\, hi gh-order sensors\, and virtual sensor arrays) are individual sensors that are designed with several independent responses and operate as the first-o rder analytical instruments. We will present results from our and other re search teams that demonstrate three-dimensional\, four-dimensional\, and e ven five-dimensional dispersion of individual sensors\, differentiation of complex odors and closely related volatiles\, and quantification of analy tes in mixtures. Next we will discuss recent reported methodologies to imp rove stability of multivariable sensors. Design principles of electrical a nd photonic types of first-order sensors open opportunities for diverse em erging monitoring applications that cannot afford relatively high electric al power demands\, relatively high instrument acquisition cost\, and frequ ent periodic maintenance\, typical of traditional analytical instruments.\ n\nRoom: 1A.023\, Bldg: Nancy Rothwell (Engineering Building A)\, Booth St East\, Manchester\, England\, United Kingdom\, M13 9PL LOCATION:Room: 1A.023\, Bldg: Nancy Rothwell (Engineering Building A)\, Boo th St East\, Manchester\, England\, United Kingdom\, M13 9PL ORGANIZER:paul.wright@manchester.ac.uk SEQUENCE:34 SUMMARY:Dr Radislav Potyrailo\, IEEE Sensors Council Distinguished Lecturer : "Next Generation of Gas Sensors: Anticipated and Unanticipated Advantage s Over Last-Century Designs" URL;VALUE=URI:https://events.vtools.ieee.org/m/448184 X-ALT-DESC:Description: <br /><p><em>Next Generation of Gas Sensors: Antici pated and Unanticipated Advantages Over Last-Century Designs </em></p>\n<p >It is conventionally expected that the performance of existing gas sensor s may degrade in the field compared to laboratory conditions because (i) a sensor may lose its accuracy in the presence of chemical interferences an d (ii) variations of ambient conditions over time may induce sensor-respon se fluctuations (i.e.\, drift). Breaking this status quo in poor sensor pe rformance requires understanding the origins of design principles of exist ing sensors and bringing new principles to sensor designs. Existing gas se nsors are singleoutput (e.g.\, resistance\, electrical current\, work func tion\, light intensity) sensors\, also known as zero-order sensors. Any ze ro-order sensor is undesirably affected by variable chemical background an d sensor drift that cannot be distinguished from the response to an analyt e. &nbsp\;In this lecture\, we will demonstrate that to address these limi tations\, multivariable gas sensors are emerging as the next generation re liable analytical devices. Multivariable gas sensors (also known as intell igent sensors\, multiparameter sensors\, high-order sensors\, and virtual sensor arrays) are individual sensors that are designed with several indep endent responses and operate as the first-order analytical instruments. &n bsp\;We will present results from our and other research teams that demons trate three-dimensional\, four-dimensional\, and even five-dimensional dis persion of individual sensors\, differentiation of complex odors and close ly related volatiles\, and quantification of analytes in mixtures. &nbsp\; Next we will discuss recent reported methodologies to improve stability of multivariable sensors. Design principles of electrical and photonic types of first-order sensors open opportunities for diverse emerging monitoring applications that cannot afford relatively high electrical power demands\ , relatively high instrument acquisition cost\, and frequent periodic main tenance\, typical of traditional analytical instruments.&nbsp\;</p> END:VEVENT END:VCALENDAR