Physical and Analytical Principles of Multivariable Gas and Liquid Sensors

Potyrailo, Radislav A.; Ottikkutti, Pradheepram; Nayeri, M.

doi:10.1109/icsens.2018.8589670

Cited by 3 publications

(3 citation statements)

References 21 publications

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Section: Characterization and Function Of Plasmonic Sensorsmentioning

confidence: 99%

“…The capillary condensation of the vapors into the nanoarchitecture became dominant for acetone, ethanol, chloroform, toluene at higher concentrations, and isopropanol at low concentrations. Potyrailo et al 288 developed a multivariable electrical resonant sensor, built a wireless sensor node, and connected the system to a cloud server for data upload and analytics. The sensor was tuned for the detection of CH 4 in underground mines and provided rejection of interferences in ambient air such as moisture and fumes of diesel-operated equipment.…”

Section: Characterization and Function Of Plasmonic Sensorsmentioning

confidence: 99%

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Bio-inspired photonic and plasmonic systems for gas sensing: applications, fabrication, and analytical methods

Musgrove,

Cockerham,

Pazos

et al. 2024

J. Optical Microsystems

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We review progress in the development of photonic platforms for detecting gases. Unlike sensors based on conventional refractive and diffractive optics, photonic sensors detect analytes using light-matter interactions of periodic nanostructures, plasmonic interactions, or combinations of the two. This summary focuses on the work done in the last two decades, and earlier reports are summarized in several authoritative reviews. Specifically, we focus on the research of bio-inspired photonic and plasmonic material fabrication, experimental studies, and theoretical studies for gas detection applications. In areas where reports are scarce, challenges are identified, and reports are included that may not directly relate to bio-inspired gas detection applications but nonetheless offer findings that can facilitate progress within underexplored areas of bioinspired gas sensing.

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Section: Characterization and Function Of Plasmonic Sensorsmentioning

confidence: 99%

Section: Characterization and Function Of Plasmonic Sensorsmentioning

confidence: 99%

Bio-inspired photonic and plasmonic systems for gas sensing: applications, fabrication, and analytical methods

Musgrove,

Cockerham,

Pazos

et al. 2024

J. Optical Microsystems

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“…Previously, we introduced multivariable gas sensors with multiple outputs as the first-order sensors to address the problems of zero-order sensors. 10,[20][21][22][23][24][25][26][27][28][29][30][31][32][33][34][35][36][37] These sensors demonstrated four-dimensional sensor dispersion, 10,37 differentiated complex odors, 37 vapors of the same dielectric constant, 24,37 closely related volatiles such as straight-chain C1-C9 primary alcohols 10,37 and C1-C3 hydrocarbons, 27 quantified gases mixed with uncalibrated interferences, 26 rejected interferences up to 2 × 10 6 -fold, 27,37 and quantified analytes in quaternary mixtures. 27,30,32,37 In this study, we introduce methodologies to improve the stability of two types of our multivariable (first-order) sensors.…”

Section: Introductionmentioning

confidence: 99%

First-Order Individual Gas Sensors as Next Generation Reliable Analytical Instruments

Potyrailo,

Scherer,

Cheng

et al. 2023

Appl Spectrosc

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It 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 conditions over time may induce sensor-response fluctuations (i.e., drift). Breaking this status quo in poor sensor performance requires understanding the origins of design principles of existing sensors and bringing new principles to sensor designs. Existing gas sensors are single-output (e.g., resistance, electrical current, light intensity, etc.) sensors, also known as zero-order sensors (Karl Booksh and Bruce R. Kowalski, Analytical Chemistry, DOI: 10.1021/ac00087a718). Any zero-order sensor is undesirably affected by variable chemical background and sensor drift that cannot be distinguished from the response to an analyte. To address these limitations, we are developing multivariable gas sensors with independent responses, which are first-order analytical instruments. Here, we demonstrate self-correction against drift in two types of first-order gas sensors that operate in different portions of the electromagnetic spectrum. Our radiofrequency sensors utilize dielectric excitation of semiconducting metal oxide materials on the shoulder of their dielectric relaxation peak and achieve self-correction of the baseline drift by operation at several frequencies. Our photonic sensors utilize nanostructured sensing materials inspired by Morpho butterflies and achieve self-correction of the baseline drift by operation at several wavelengths. These principles of self-correction for drift effects in first-order sensors open opportunities for diverse emerging monitoring applications that cannot afford frequent periodic maintenance that is typical of traditional analytical instruments.

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