A comparison between an electronic nose and human olfaction in a selected case study

Natale, Corrado Di; Macagnano, Antonella; Paolesse, Roberto; Tarizzo, Enrico; D’Amico, A.; Davide, Fabrizio; Boschi, T.; Faccio, Marco; Ferri, Giuseppe; Sinesio, Fiorella; Bucarelli, F. M.; Moneta, Elisabetta; Quaglia, G. B.

doi:10.1109/sensor.1997.635483

Cited by 4 publications

(3 citation statements)

References 2 publications

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“…Despite extensive research dating back decades and by the use of same principle of combinatorial selectivity, e-nose still cannot match the performance standard of a biological nose [3]. The advantage of an e-nose is that it can be designed to perform desired tasks in limited applications, for example for the breath analysis of tuberculosis (TB) patients [4].…”

Section: Introductionmentioning

confidence: 99%

Organic field effect transistors (OFETs) in environmental sensing and health monitoring: A review

Surya

Raval

Ahmad

et al. 2019

TrAC Trends in Analytical Chemistry

101

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Organic field effect transistors (OFETs) have been the focus of sensing application research over the last two decades. In comparison to their inorganic counterparts, OFETs have multiple advantages, such as low-cost manufacturing, large area coverage, flexibility and readily tunable electronic material properties. To date, various organic semiconductors (OSCs), both polymers and small molecules, have been extensively researched for the purpose of developing the active channel layers in OFETs, enhancing their sensitivity and selectivity. However, OFET devices still need to be optimized to demonstrate reliable performance at the device level and in sensing applications. This review begins with an introduction of the OFETs with an emphasis on their geometry, materials (OSCs), fabrication process, and data analysis. After this, multiple applications are discussed and the progress regarding sensing elements and precisions is highlighted. In the end, the challenges and possible future directions of OFET arrays in embedded sensing platforms are presented.

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Section: Introductionmentioning

confidence: 99%

Organic field effect transistors (OFETs) in environmental sensing and health monitoring: A review

Surya

Raval

Ahmad

et al. 2019

TrAC Trends in Analytical Chemistry

101

View full text Add to dashboard Cite

show abstract

“…A limited number of research groups are involved in the construction of biologically inspired chemical sensing systems (Keller at Batelle laboratories [11]; Pearce at the University of Leicester, UK [12], Goodman and Lewis at the California Institute of Technology [13], and Wilson at the University of Washington [14]). Complementing these efforts, Natale et al and Lewis et al have made direct comparisons between the performance of an 'electronic nose' and the olfactory system for detecting large numbers and classes of odors [15,16].…”

Section: Biologically Inspired Signal Processing Architecturesmentioning

confidence: 99%

“…However, in every case the correct There are three presentations each of three samples: row 1, 87 octane gasoline (g87 1 , g87 2 , g87 3 ); row 2, paint thinner (pth 1 , pth 2 , pth 3 ); row 3, xylene (xyl 1 , xyl 2 , xyl 3 ). In each subplot, the horizontal axis is the sensor number (1)(2)(3)(4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15). The vertical axis is time, running from t = 0 at the top to t = 51 sample intervals at the bottom.…”

Section: Example: Nonlinear Signal Processing Using Recurrentmentioning

confidence: 99%

Signal Processing Architectures for Chemical Sensing Microsystems

Wilson

Roppel

2002

Sensors Update

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This paper reviews several levels of signal processing and associated architectures for chemical sensing microsystems that use either arrays of optical or of physical sensors. Many chemical sensors, because of their interaction and vulnerability to the environment, have been eliminated from inclusion in sensing systems that require high precision and accuracy. This discussion evaluates parametric vs. nonparametric techniques and linear vs. nonlinear signal processing approaches for addressing chemical classification problems using imperfect sensing technologies. Hardware implementations of signal processing and biologically inspired signal processing are also reviewed. Future research into the development of more accurate chemical classification systems demands the customization of current approaches, so that underlying principles of chemical sensors and associated interfering influences do not overburden the computational space, thereby allowing higher accuracy rates.

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Electrical characterisation of high-frequency thickness-shear-mode resonators by impedance analysis

Zimmermann

Lücklum

Hauptmann

et al. 2001

Sensors and Actuators B: Chemical

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A comparison between an electronic nose and human olfaction in a selected case study

Cited by 4 publications

References 2 publications

Organic field effect transistors (OFETs) in environmental sensing and health monitoring: A review

Organic field effect transistors (OFETs) in environmental sensing and health monitoring: A review

Signal Processing Architectures for Chemical Sensing Microsystems

Electrical characterisation of high-frequency thickness-shear-mode resonators by impedance analysis

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