Large-Scale Chemical Sensor Array Testing Biological Olfaction Concepts

Bernabei, M.; Persaud, Krishna; Pantalei, S.; Zampetti, Emiliano; Beccherelli, Romeo

doi:10.1109/jsen.2012.2207887

Cited by 39 publications

(22 citation statements)

References 23 publications

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“…In this section, the artificial olfactory system developed to generate data emulating the sensor inputs of the biological olfaction is briefly described. More details can be found in [ 14 , 24 ].…”

Section: Overview Of the Electronic Devicementioning

confidence: 99%

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An Efficient Approach for Preprocessing Data from a Large-Scale Chemical Sensor Array

Leo

Distante

Bernabei

et al. 2014

Sensors

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In this paper, an artificial olfactory system (Electronic Nose) that mimics the biological olfactory system is introduced. The device consists of a Large-Scale Chemical Sensor Array (16, 384 sensors, made of 24 different kinds of conducting polymer materials) that supplies data to software modules, which perform advanced data processing. In particular, the paper concentrates on the software components consisting, at first, of a crucial step that normalizes the heterogeneous sensor data and reduces their inherent noise. Cleaned data are then supplied as input to a data reduction procedure that extracts the most informative and discriminant directions in order to get an efficient representation in a lower dimensional space where it is possible to more easily find a robust mapping between the observed outputs and the characteristics of the odors in input to the device. Experimental qualitative proofs of the validity of the procedure are given by analyzing data acquired for two different pure analytes and their binary mixtures. Moreover, a classification task is performed in order to explore the possibility of automatically recognizing pure compounds and to predict binary mixture concentrations.

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Section: Overview Of the Electronic Devicementioning

confidence: 99%

“…To this end, recently in [ 13 ] the fabrication of a device containing three sensor arrays of 300 elements using 24 different sensitive materials was reported. Recently, a large-scale chemical sensor array (65, 536 sensors) was introduced in [ 14 ].…”

Section: Introductionmentioning

confidence: 99%

An Efficient Approach for Preprocessing Data from a Large-Scale Chemical Sensor Array

Leo

Distante

Bernabei

et al. 2014

Sensors

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“…We also explored the translation of key features of the olfactory system architecture as receptor redundancy and massive convergence to biomimetic artefacts. In this sense a large scale chemical sensor array consisting of 64K sensors of tens of different types has been built within this project, mimicking the olfactory epithelium 9,10 .…”

Section: Ill Olfactory Cortexmentioning

confidence: 99%

Biologically inspired large scale chemical sensor arrays and embedded data processing

et al. 2013

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Biological olfaction outperforms chemical instrumentation in specificity, response time, detection limit, coding capacity, time stability, robustness, size, power consumption, and portability. This biological function provides outstanding performance due, to a large extent, to the unique architecture of the olfactory pathway, which combines a high degree of redundancy, an efficient combinatorial coding along with unmatched chemical information processing mechanisms. The last decade has witnessed important advances in the understanding of the computational primitives underlying the functioning of the olfactory system. EU Funded Project NEUROCHEM (Bio-ICT-FET-216916) has developed novel computing paradigms and biologically motivated artefacts for chemical sensing taking inspiration from the biological olfactory pathway. To demonstrate this approach, a biomimetic demonstrator has been built featuring a large scale sensor array (65K elements) in conducting polymer technology mimicking the olfactory receptor neuron layer, and abstracted biomimetic algorithms have been implemented in an embedded system that interfaces the chemical sensors. The embedded system integrates computational models of the main anatomic building blocks in the olfactory pathway: the olfactory bulb, and olfactory cortex in vertebrates (alternatively, antennal lobe and mushroom bodies in the insect). For implementation in the embedded processor an abstraction phase has been carried out in which their processing capabilities are captured by algorithmic solutions. Finally, the algorithmic models are tested with an odour robot with navigation capabilities in mixed chemical plumes .

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“…Two types of sensors described in Table 1 —conducting polymers and carbon particle based sensors—often classified as volumetric sensors, are very well suited for use in the artificial olfaction due to their relatively simple structure and ease of fabrication and customization [ 21 ]. They also possess a great potential advantage of miniaturization which seems perfect for creation of sensor arrays—small in size but large in the number of sensing elements [ 22 , 23 , 24 ]. In brief, the volumetric devices consist of two electrodes and an analyte-interactive film capable of changing its volume upon sorption of analytes.…”

Section: Introductionmentioning

confidence: 99%

Array of Chemosensitive Resistors with Composites of Gas Chromatography (GC) Materials and Carbon Black for Detection and Recognition of VOCs: A Basic Study

Wyszynski¹,

Yatabe²,

Nakao

et al. 2017

Sensors

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Mimicking the biological olfaction, large odor-sensor arrays can be used to acquire a broad range of chemical information, with a potentially high degree of redundancy, to allow for enhanced control over the sensitivity and selectivity of artificial olfaction systems. The arrays should consist of the largest possible number of individual sensing elements while being miniaturized. Chemosensitive resistors are one of the sensing platforms that have a potential to satisfy these two conditions. In this work we test viability of fabricating a 16-element chemosensitive resistor array for detection and recognition of volatile organic compounds (VOCs). The sensors were fabricated using blends of carbon black and gas chromatography (GC) stationary-phase materials preselected based on their sorption properties. Blends of the selected GC materials with carbon black particles were subsequently coated over chemosensitive resistor devices and the resulting sensors/arrays evaluated in exposure experiments against vapors of pyrrole, benzenal, nonanal, and 2-phenethylamine at 150, 300, 450, and 900 ppb. Responses of the fabricated 16-element array were stable and differed for each individual odorant sample, proving the blends of GC materials with carbon black particles can be effectively used for fabrication of large odor-sensing arrays based on chemosensitive resistors. The obtained results suggest that the proposed sensing devices could be effective in discriminating odor/vapor samples at the sub-ppm level.

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Large-Scale Chemical Sensor Array Testing Biological Olfaction Concepts

Cited by 39 publications

References 23 publications

An Efficient Approach for Preprocessing Data from a Large-Scale Chemical Sensor Array

An Efficient Approach for Preprocessing Data from a Large-Scale Chemical Sensor Array

Biologically inspired large scale chemical sensor arrays and embedded data processing

Array of Chemosensitive Resistors with Composites of Gas Chromatography (GC) Materials and Carbon Black for Detection and Recognition of VOCs: A Basic Study

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