Optimal selection of SAW sensors for E-Nose applications

Sunil, T. T.; Chaudhuri, Subhasis; Mishra, V. K.

doi:10.1016/j.snb.2015.04.107

Cited by 25 publications

(10 citation statements)

References 31 publications

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“…For practical applications, material selection in the design process of ENs is a key factor for achieving high success rates. To choose optimal polymers, analysis of sensor array response or linear solvation energy relationship parameters of polymers and analytes approaches can be used [258] . Moreover, the gas signatures obtained from sensors must be distinct in the feature space, otherwise the adopted algorithm will have difficulties in the classification stage [259] .…”

Section: Materials Selectionmentioning

confidence: 99%

Electronic Nose and Its Applications: A Survey

Karakaya

Ulucan

Türkan

2019

Int. J. Autom. Comput.

252

152

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In the last two decades, improvements in materials, sensors and machine learning technologies have led to a rapid extension of electronic nose (EN) related research topics with diverse applications. The food and beverage industry, agriculture and forestry, medicine and health-care, indoor and outdoor monitoring, military and civilian security systems are the leading fields which take great advantage from the rapidity, stability, portability and compactness of ENs. Although the EN technology provides numerous benefits, further enhancements in both hardware and software components are necessary for utilizing ENs in practice. This paper provides an extensive survey of the EN technology and its wide range of application fields, through a comprehensive analysis of algorithms proposed in the literature, while exploiting related domains with possible future suggestions for this research topic.

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Section: Materials Selectionmentioning

confidence: 99%

Electronic Nose and Its Applications: A Survey

Karakaya

Ulucan

Türkan

2019

Int. J. Autom. Comput.

252

152

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“…For data analysis, mathematical algorithms [ 123 , 124 ] such as principal component analysis [ 125 ], cluster analysis [ 126 ], artificial neural networks [ 127 ] and probabilistic neuronal network [ 128 ] have been used for pattern recognition. SAW e-nose sensor [ 129 ] arrays having polymer interfaces [ 130 , 131 ] are frequently used for analyzing vapors from different edibles including wine, vegetable oil and others. The developed sensor systems can be applied for classification as well as to detect adulteration in food samples.…”

Section: Chemical Recognition Layersmentioning

confidence: 99%

Surface Acoustic Wave (SAW) for Chemical Sensing Applications of Recognition Layers

Mujahid

Dickert

2017

Sensors

142

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Surface acoustic wave (SAW) resonators represent some of the most prominent acoustic devices for chemical sensing applications. As their frequency ranges from several hundred MHz to GHz, therefore they can record remarkably diminutive frequency shifts resulting from exceptionally small mass loadings. Their miniaturized design, high thermal stability and possibility of wireless integration make these devices highly competitive. Owing to these special characteristics, they are widely accepted as smart transducers that can be combined with a variety of recognition layers based on host-guest interactions, metal oxide coatings, carbon nanotubes, graphene sheets, functional polymers and biological receptors. As a result of this, there is a broad spectrum of SAW sensors, i.e., having sensing applications ranging from small gas molecules to large bio-analytes or even whole cell structures. This review shall cover from the fundamentals to modern design developments in SAW devices with respect to interfacial receptor coatings for exemplary sensor applications. The related problems and their possible solutions shall also be covered, with a focus on emerging trends and future opportunities for making SAW as established sensing technology.

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“…Many types of electronic noses, mainly resistive ones, have been developed to monitor, discriminate, and classify a range of volatile organic compounds (VOCs) for very different fields of application (environment, feeding, security, and health) [7][8][9][10][11]. However, surface acoustic wave (SAW) electronic noses are not common in the literature, as existing systems are neither compact nor portable, even though these sensors are very sensitive and able to work at room temperature [12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Portable Low-Cost Electronic Nose Based on Surface Acoustic Wave Sensors for the Detection of BTX Vapors in Air

Matatagui

Bahos

Gràcia

et al. 2019

Sensors

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A portable electronic nose based on surface acoustic wave (SAW) sensors is proposed in this work to detect toxic chemicals, which have a great potential to threaten the surrounding natural environment or adversely affect the health of people. We want to emphasize that ferrite nanoparticles, decorated (Au, Pt, Pd) and undecorated, have been used as sensitive coatings for the first time in these types of sensors. Furthermore, the proposed electronic nose incorporates signal conditioning and acquisition and transmission modules. The electronic nose was tested to low concentrations of benzene, toluene, and xylene, exhibiting excellent performance in terms of sensitivity, selectivity, and response time, indicating its potential as a monitoring system that can contribute to the detection of toxic compounds.

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Optimal selection of SAW sensors for E-Nose applications

Cited by 25 publications

References 31 publications

Electronic Nose and Its Applications: A Survey

Electronic Nose and Its Applications: A Survey

Surface Acoustic Wave (SAW) for Chemical Sensing Applications of Recognition Layers

Portable Low-Cost Electronic Nose Based on Surface Acoustic Wave Sensors for the Detection of BTX Vapors in Air

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