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Article
Publication date: 20 January 2012

Mercedes Crego‐Calama, Sywert Brongersma, Devrez Karabacak and Mieke Van Bavel

The purpose of this paper is to present a novel approach for fabricating electronic nose (e‐nose) systems for adaptation into autonomous wireless sensor nodes. Such…

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1262

Abstract

Purpose

The purpose of this paper is to present a novel approach for fabricating electronic nose (e‐nose) systems for adaptation into autonomous wireless sensor nodes. Such systems must fulfill a combination of requirements that currently cannot be met by existing technologies. The paper also contains an overview of the various application domains that are envisaged for such miniaturized electronic nose systems.

Design/methodology/approach

The approach makes use of micromechanical systems that are an ideal technology for fabricating miniaturized sensor arrays for low‐power applications. An array of doubly clamped micromechanical beams with integrated piezoelectric transducers is presented.

Findings

The presented approach fulfills the requirements of sensitivity, arrayability, integratability and low‐power operation.

Research limitations/implications

Further research is required to integrate the structures with low‐power analog readout circuits and to demonstrate simultaneous measurements from multiple structures.

Practical implications

The presented technology makes use of established micromachining techniques and deploys commercial inkjet printing for functionalization of the individual detection elements. This enhances its potential adaptation by industry.

Originality/value

The innovative concept paves the way for autonomous electronic nose systems.

Details

Sensor Review, vol. 32 no. 1
Type: Research Article
ISSN: 0260-2288

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Article
Publication date: 1 December 1994

D Hodgins

Outlines the development of an electronic nose for general applicationand examines it’s three major parts: a sensor array, a means of converting the sensor outputs into…

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415

Abstract

Outlines the development of an electronic nose for general application and examines it’s three major parts: a sensor array, a means of converting the sensor outputs into suitable signals for analysis, and a software analysis tool. Describes the sensor array, electronics and overall system design, the conducting polymer sensors and the computer hardware and software. Discusses the analysis techniques and results of tests carried out on various gases, vapours and liquids. Concludes that although much further work is required into sensors and analysis techniques it is anticipated that a growing number of companies will become interested in developing these systems.

Details

Sensor Review, vol. 14 no. 4
Type: Research Article
ISSN: 0260-2288

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Article
Publication date: 1 October 2021

Rabeb Faleh, Sami Gomri, Khalifa Aguir and Abdennaceur Kachouri

The purpose of this paper is to deal with the classification improvement of pollutant using WO3 gases sensors. To evaluate the discrimination capacity, some experiments…

Abstract

Purpose

The purpose of this paper is to deal with the classification improvement of pollutant using WO3 gases sensors. To evaluate the discrimination capacity, some experiments were achieved using three gases: ozone, ethanol, acetone and a mixture of ozone and ethanol via four WO3 sensors.

Design/methodology/approach

To improve the classification accuracy and enhance selectivity, some combined features that were configured through the principal component analysis were used. First, evaluate the discrimination capacity; some experiments were performed using three gases: ozone, ethanol, acetone and a mixture of ozone and ethanol, via four WO3 sensors. To this end, three features that are derivate, integral and the time corresponding to the peak derivate have been extracted from each transient sensor response according to four WO3 gas sensors used. Then these extracted parameters were used in a combined array.

Findings

The results show that the proposed feature extraction method could extract robust information. The Extreme Learning Machine (ELM) was used to identify the studied gases. In addition, ELM was compared with the Support Vector Machine (SVM). The experimental results prove the superiority of the combined features method in our E-nose application, as this method achieves the highest classification rate of 90% using the ELM and 93.03% using the SVM based on Radial Basis Kernel Function SVM-RBF.

Originality/value

Combined features have been configured from transient response to improve the classification accuracy. The achieved results show that the proposed feature extraction method could extract robust information. The ELM and SVM were used to identify the studied gases.

Details

Sensor Review, vol. 41 no. 5
Type: Research Article
ISSN: 0260-2288

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Article
Publication date: 2 October 2017

Maria Fransisca Njoman, Galih Nugroho, Sonia Dwi Puspita Chandra, Yoeska Permana, Suhadi Suhadi, Mujiono Mujiono, Agist Dwiki Hermawan and Sugiono Sugiono

The purpose of this paper is to evaluate subjectivity issue, particularly sensitivity variance and fatigue effect, in human sensory evaluation, as well as review the…

Abstract

Purpose

The purpose of this paper is to evaluate subjectivity issue, particularly sensitivity variance and fatigue effect, in human sensory evaluation, as well as review the feasibility of human-independent quality system, using E-tongue and E-nose.

Design/methodology/approach

The sensitivity level is evaluated by measuring the threshold of Acesulfame-K, while the fatigue effect is evaluated by measuring the accuracy level of evaluation through the time. The experiment was administered to six trained sensory panelists.

Findings

The experiment result shows that each panelist has a different level of sensitivity and tendency in evaluating samples containing Acesulfame-K. Furthermore, by simulating the panelists’ daily inspection, the fatigue effect is also found in one out of six panelists. The use of E-nose and E-tongue, may eliminate the subjectivity issue, supporting the development of human error-free quality system.

Research limitations/implications

The research findings indicate the needs of human substitution-built into the quality system to avoid both of subjectivity and error judgment while defining the products quality. However, the small numbers of panelists as well as the unvalidated substitute instruments application in the target workcenter were the main limitation of this study. Human-independent quality system could be applied only when the instruments have been calibrated to human response in perceiving taste and odor.

Originality/value

The research finding supports the theory of human panels’ tradeoffs in a sensory analysis in terms of sensitivity level variance and fatigue. It has provided additional contributions to the existing theories as well as developed effective strategies for the development of the human-independent quality system.

Details

British Food Journal, vol. 119 no. 10
Type: Research Article
ISSN: 0007-070X

Keywords

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Article
Publication date: 21 March 2016

Samaneh Matindoust, Majid Baghaei-Nejad, Mohammad Hadi Shahrokh Abadi, Zhuo Zou and Li-Rong Zheng

This paper aims to study different possibilities for implementing easy-to-use and cost-effective micro-systems to detect and trace expelled gases from rotten food. The…

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5986

Abstract

Purpose

This paper aims to study different possibilities for implementing easy-to-use and cost-effective micro-systems to detect and trace expelled gases from rotten food. The paper covers various radio-frequency identification (RFID) technologies and gas sensors as the two promoting feasibilities for the tracing of packaged food. Monitoring and maintaining quality and safety of food in transport and storage from producer to consumer are the most important concerns in food industry. Many toxin gases, even in parts per billion ranges, are produced from corrupted and rotten food and can endanger the consumers’ health. To overcome the issues, intelligent traceability of food products, specifically the packaged ones, in terms of temperature, humidity, atmospheric conditions, etc., has been paid attention to by many researchers.

Design/methodology/approach

Food poisoning is a serious problem that affects thousands of people every year. Poisoning food must be recognized early to prevent a serious health problem.

Contaminated food is usually detectable by odor. A small gas sensors and low-cost tailored to the type of food packaging and a communication device for transmitting alarm output to the consumer are key factors in achieving intelligent packaging.

Findings

Conducting polymer composite, intrinsically conducting polymer and metal oxide conductivity gas sensors, metal–oxide–semiconductor field-effect transistor (MOSFET) gas sensors offer excellent discrimination and lead the way for a new generation of “smart sensors” which will mould the future commercial markets for gas sensors.

Originality/value

Small size, low power consumption, short response time, wide operating temperature, high efficiency and small area are most important features of introduced system for using in package food.

Details

Sensor Review, vol. 36 no. 2
Type: Research Article
ISSN: 0260-2288

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Article
Publication date: 14 January 2014

Sari Lakkis, Rafic Younes, Yasser Alayli and Mohamad Sawan

This paper aims to give an overview about the state of the art and novel technologies used in gas sensing. It also discusses the miniaturization potential of some of these…

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1400

Abstract

Purpose

This paper aims to give an overview about the state of the art and novel technologies used in gas sensing. It also discusses the miniaturization potential of some of these technologies in a comparative way.

Design/methodology/approach

In this article, the authors state the most of the methods used in gas sensing discuss their advantages and disadvantages and at last the authors discuss the ability of their miniaturization comparing between them in terms of their sensing parameters like sensitivity, selectivity and cost.

Findings

In this article, the authors will try to cover most of the important methods used in gas sensing and their recent developments. The authors will also discuss their miniaturization potential trying to find the best candidate among the different types for the aim of miniaturization.

Originality/value

In this article, the authors will review most of the methods used in gas sensing and discuss their miniaturization potential delimiting the research to a certain type of technology or application.

Details

Sensor Review, vol. 34 no. 1
Type: Research Article
ISSN: 0260-2288

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Article
Publication date: 3 June 2020

Chujun Wang, Yubin Peng, Charles Spence and Xiaoang Wan

This study was designed to investigate how the material properties of the tea-drinking receptacle interact with a participant's motivation and preference for extracting…

Abstract

Purpose

This study was designed to investigate how the material properties of the tea-drinking receptacle interact with a participant's motivation and preference for extracting and using information obtained via haptic perception, namely the need for touch (NFT), to influence his or her tea-drinking experience.

Design/methodology/approach

72 blindfolded participants were instructed to sample room temperature tea beverages served in a cup that was made of ceramic, glass, paper or plastic. They were then asked to rate how familiar they were with the taste of the beverage, to rate how pleasant the taste was and to specify how much they would like to pay for it (i.e. willingness-to-pay ratings).

Findings

The material of the receptacles used to serve the tea exerted a significant influence over the pleasantness ratings of the tea and interacted with the participants' NFT, exerting a significant influence over their willingness to pay for the tea. Specifically, high-NFT participants were willing to pay significantly more for the same cup of tea when it was served in a ceramic cup rather than in a paper cup, whereas the low-NFT participants' willingness to pay for the tea was unaffected by the material of the receptacles.

Originality/value

Our findings suggest that consumers may not be equally susceptible to the influence of the receptacle in which tea, or any other beverage, is served. Our findings also demonstrate how the physical properties of a receptacle interact with a consumer's motivation and preference to influence his or her behavior in the marketplace.

Details

British Food Journal, vol. 122 no. 9
Type: Research Article
ISSN: 0007-070X

Keywords

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Article
Publication date: 4 July 2016

Stanislaw Osowski, Krzysztof Siwek and Tomasz Grzywacz

The paper is concerned with exploration of sensor signals in differential electronic nose. It is a special type of nose, which applies double sensor matrices and exploits…

Abstract

Purpose

The paper is concerned with exploration of sensor signals in differential electronic nose. It is a special type of nose, which applies double sensor matrices and exploits only their differential signals, which are used in recognition of patterns associated with them. The purpose of this paper is to study the application of differential nose in dynamic measurement of aroma of 11 brands of cigarettes.

Design/methodology/approach

The most important task in pattern recognition using electronic nose is its resistance to the noise corrupting the measurement. The authors will analyze and compare the performance of the nose in the noisy environment by applying two classifier systems: the support vector machine (SVM) and random forest (RF) of decision trees.

Findings

On the basis of numerical experiments the authors have found that application of SVM as the classifier in the electronic nose is more advantageous than RF, especially at high level of noise and small number of measuring sensors. Its application allowed to recognize 11 brands of cigarettes with the accuracy close to 100 percent.

Practical implications

Thanks to application of two identical sensors working in a differential mode the authors avoid the baseline estimation and thus the solution is well suited for on-line dynamic measurements of the process.

Originality/value

The paper has studied the advantages and limitations of the differential electronic nose following from the existence of the noise, corrupting the measurements. It has pointed an important role of the applied classifier system in getting the electronic nose of the highest quality.

Details

COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, vol. 35 no. 4
Type: Research Article
ISSN: 0332-1649

Keywords

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Article
Publication date: 1 December 2003

K. Arshak, G.M. Lyons, C. Cunniffe, J. Harris and S. Clifford

This paper discusses the digital hardware and software that is required for data acquisition in a portable electronic nose (e‐nose) system. A review of current e‐nose

Abstract

This paper discusses the digital hardware and software that is required for data acquisition in a portable electronic nose (e‐nose) system. A review of current e‐nose systems is presented highlighting the methods employed by these systems to acquire the data from the sensor head.

Details

Sensor Review, vol. 23 no. 4
Type: Research Article
ISSN: 0260-2288

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Article
Publication date: 18 January 2016

Jia Yan, Shukai Duan, Tingwen Huang and Lidan Wang

The purpose of this paper is to improve the performance of E-nose in the detection of wound infection. Feature extraction and selection methods have a strong impact on the…

Abstract

Purpose

The purpose of this paper is to improve the performance of E-nose in the detection of wound infection. Feature extraction and selection methods have a strong impact on the performance of pattern classification of electronic nose (E-nose). A new hybrid feature matrix construction method and multi-objective binary quantum-behaved particle swarm optimization (BQPSO) have been proposed for feature extraction and selection of sensor array.

Design/methodology/approach

A hybrid feature matrix constructed by maximum value and wavelet coefficients is proposed to realize feature extraction. Multi-objective BQPSO whose fitness function contains classification accuracy and a number of selected sensors is used for feature selection. Quantum-behaved particle swarm optimization (QPSO) is used for synchronization optimization of selected features and parameter of classifier. Radical basis function (RBF) network is used for classification.

Findings

E-nose obtains the highest classification accuracy when the maximum value and db 5 wavelet coefficients are extracted as the hybrid features and only six sensors are selected for classification. All results make it clear that the proposed method is an ideal feature extraction and selection method of E-nose in the detection of wound infection.

Originality/value

The innovative concept improves the performance of E-nose in wound monitoring, and is beneficial for realizing the clinical application of E-nose.

Details

Sensor Review, vol. 36 no. 1
Type: Research Article
ISSN: 0260-2288

Keywords

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