Real-time vapour sensing using an OFET-based electronic nose and genetic programming

Wedge, David C.; Das, Arindam; Dost, R.; Kettle, Jeff; Madec, Marie-Beatrice; Morrison, John J.; Grell, Martin; Kell, Douglas B.; Richardson, T.; Yeates, Stephen G.; Turner, Michael L.

doi:10.1016/j.snb.2009.09.030

Cited by 44 publications

(24 citation statements)

References 33 publications

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“…Since the latest developments in the application of multivariate data analysis to e-tongues have been reviewed in [38], and the use of information visualization for systems based on the e-tongue concept is described in the next section, we shall turn to electronic noses. Wedge et al [74] investigated e-noses made with arrays of organic field-effect transistors to detect airbone analytes in real time, with a time-lag of only 4 s. Data processing made use of genetic programming, which was proven adequate to deal with the multiple parameters involved in the sensor arrays. Zhang et al [75] combined Fisher Discriminant Analysis (FDA) [76] with Sammon's mapping [16] to distinguish among seven samples including fuels and drinks.…”

Section: Electronic Tongues and Nosesmentioning

confidence: 99%

Information Visualization to Enhance Sensitivity and Selectivity in Biosensing

Oliveira¹,

Pavinatto²,

Constantino³

et al. 2012

Biointerphases

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An overview is provided of the various methods for analyzing biosensing data, with emphasis on information visualization approaches such as multidimensional projection techniques. Emphasis is placed on the importance of data analysis methods, with a description of traditional techniques, including the advantages and limitations of linear and non-linear methods to generate layouts that emphasize similarity/dissimilarity relationships among data instances. Particularly important are recent methods that allow processing high-dimensional data, thus taking full advantage of the capabilities of modern equipment. In this area, now referred to as e-science, the choice of appropriate data analysis methods is crucial to enhance the sensitivity and selectivity of sensors and biosensors. Two types of systems deserving attention in this context are electronic noses and electronic tongues, which are made of sensor arrays whose electrical or electrochemical responses are combined to provide “finger print” information for aromas and tastes. Examples will also be given of unprecedented detection of tropical diseases, made possible with the use of multidimensional projection techniques. Furthermore, ways of using these techniques along with other information visualization methods to optimize biosensors will be discussed.

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Section: Electronic Tongues and Nosesmentioning

confidence: 99%

Information Visualization to Enhance Sensitivity and Selectivity in Biosensing

Oliveira¹,

Pavinatto²,

Constantino³

et al. 2012

Biointerphases

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“…David C. Wedge et al [9] have discussed that Electronic noses (e-noses) are increasingly being used as vapour sensors in a wide range of application areas. E-noses made up of arrays of organic field-effect transistors (OFETs) are particularly valuable due to the range and diversity of the information which they provide concerning analyst binding.…”

Section: Related Recent Researches: a Reviewmentioning

confidence: 99%

Formulating a Mathematical Model for the E-Nose Application through Genetic Algorithm (GA)

Nayak¹,

Nayak²,

Deccaraman³

2012

IJCA

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From a technical and commercial point of view it is found that electronic sensing technologies have emerged significant progresses over the last few decades. The potentiality of reproducing human senses by sensor arrays and pattern recognition systems is termed as electronic sensing. E-Nose provides an industry-specific management resolution for the perpetual and real-time monitoring of environmental odor and air quality resulting in higher profit and improved community relations. The device constitutes arrays of effective and rapid acting chemical sensors, supplemented by patented electronics and software. Chemicals in the air are identified by the sensor arrays, registering complex odor images in real time. By means of wireless connection or lines a permanent record is sent to the computer, where it is detected, computed and alarms for inconsistent events were sent or else it can be indicated by some displacement. Electronic nose instruments are exploited by research and development laboratories, quality control laboratories, process & production department's of environmental protection, all these are done for the detection of volatile organic compounds in air, water and soil samples, and the measurement and comparison of the effects of manufacturing process on products are also determined. In this paper, An E-Nose is proposed to identify the gas component. For this process, the soft computing technique called Genetic algorithm is used. This provides an optimized weight to identify the gas component by means of the input concentration range and SMAC/hr (units in ppm). The intended Technique is evaluated with different training samples and results are produced.

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“…From an electronic device perspective, LGFETs may further be integrated with technologies and programming algorithms that would enable truly lab-on-chip operations that would not need semiconductor parameter analyzer type instrumentation for sensing signal transduction (Majewski et al 2005;Das et al 2007;Dunn et al 2006;Wedge et al 2009;Dost et al 2007Dost et al , 2008. Combining a voltage divider/amplifier, and variable gain methods, true lab-on-a-chip operating at low voltages have been reported (Wedge et al 2009;Dost et al 2007Dost et al , 2008.…”

Section: Future Outlook and Concluding Remarksmentioning

confidence: 99%

Nanotubes-/nanowires-based, microfluidic-integrated transistors for detecting biomolecules

Tey

Wijaya

Wei

et al. 2010

Microfluid Nanofluid

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Nanotubes and nanowires have sparked considerable interest in biosensing applications due to their exceptional charge transport properties and size compatibility with biomolecules. Among the various biosensing methodologies incorporating these nanostructured materials in their sensing platforms, liquid-gated field-effect transistors (LGFETs)-based device configurations outperform the conventional electrochemical measurements by their ability in providing label free, direct electronic readout, and real-time detection. Together with integration of a microfluidic channel into the device architecture, nanotube-or nanowires-based LGFET biosensor have demonstrated promising potential toward the realization of truly field-deployable self-contained lab-on-chip devices, which aim to complement the existing lab-based methodologies. This review addresses the recent advances in microfluidicintegrated carbon nanotubes and inorganic nanowiresbased LGFET biosensors inclusive of nanomaterials growth, device fabrication, sensing mechanisms, and interaction of biomolecules with nanotubes and nanowires. Design considerations, factors affecting sensing performance and sensitivity, amplification and multiplexing strategies are also detailed to provide a comprehensive understanding of present biosensors and future sensor systems development.

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Real-time vapour sensing using an OFET-based electronic nose and genetic programming

Cited by 44 publications

References 33 publications

Information Visualization to Enhance Sensitivity and Selectivity in Biosensing

Information Visualization to Enhance Sensitivity and Selectivity in Biosensing

Formulating a Mathematical Model for the E-Nose Application through Genetic Algorithm (GA)

Nanotubes-/nanowires-based, microfluidic-integrated transistors for detecting biomolecules

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