Development of potentiometric miniature gas sensor arrays feasible for small olfactory chips and gas recognition from their response patterns

Shinmyo, N.; Iwata, Tatsuya; Hashizume, Kenichi; Kuroki, Katsuro; Sawada, Kazuaki

doi:10.1109/icsens.2017.8234333

Cited by 4 publications

(2 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Potentiometric gas sensors are another group of electrochemical devices, which measure changes in the potential or electric field upon interaction with vapor gases. These devices have also been widely employed for odor monitoring purposes [ 91 , 92 ]. Potentiometric gas sensors can be deployed in a cell-based configuration similar to amperometric devices, using two or more electrodes in contact with an electrolyte.…”

Section: Gas Sensors For Vocs Detectionmentioning

confidence: 99%

Advancements in Microfabricated Gas Sensors and Microanalytical Tools for the Sensitive and Selective Detection of Odors

Ollé

Farré-Lladós

Casals‐Terré

2020

Sensors

View full text Add to dashboard Cite

In recent years, advancements in micromachining techniques and nanomaterials have enabled the fabrication of highly sensitive devices for the detection of odorous species. Recent efforts done in the miniaturization of gas sensors have contributed to obtain increasingly compact and portable devices. Besides, the implementation of new nanomaterials in the active layer of these devices is helping to optimize their performance and increase their sensitivity close to humans’ olfactory system. Nonetheless, a common concern of general-purpose gas sensors is their lack of selectivity towards multiple analytes. In recent years, advancements in microfabrication techniques and microfluidics have contributed to create new microanalytical tools, which represent a very good alternative to conventional analytical devices and sensor-array systems for the selective detection of odors. Hence, this paper presents a general overview of the recent advancements in microfabricated gas sensors and microanalytical devices for the sensitive and selective detection of volatile organic compounds (VOCs). The working principle of these devices, design requirements, implementation techniques, and the key parameters to optimize their performance are evaluated in this paper. The authors of this work intend to show the potential of combining both solutions in the creation of highly compact, low-cost, and easy-to-deploy platforms for odor monitoring.

show abstract

Section: Gas Sensors For Vocs Detectionmentioning

confidence: 99%

Advancements in Microfabricated Gas Sensors and Microanalytical Tools for the Sensitive and Selective Detection of Odors

Ollé

Farré-Lladós

Casals‐Terré

2020

Sensors

View full text Add to dashboard Cite

show abstract

“…Pattern recognition can be defined as the identification or classification of complex signal samples. The current machine olfactory system mainly includes two parts: gas qualitative recognition and quantitative detection [ 29 ]. Therefore, the machine olfactory system can also be defined as a pattern recognition.…”

Section: Introductionmentioning

confidence: 99%

Research on a Mixed Gas Recognition and Concentration Detection Algorithm Based on a Metal Oxide Semiconductor Olfactory System Sensor Array

Zhao

Chen

et al. 2018

Sensors

View full text Add to dashboard Cite

As a typical machine olfactory system index, the accuracy of hybrid gas identification and concentration detection is low. This paper proposes a novel hybrid gas identification and concentration detection method. In this method, Kernel Principal Component Analysis (KPCA) is employed to extract the nonlinear mixed gas characteristics of different components, and then K-nearest neighbour algorithm (KNN) classification modelling is utilized to realize the recognition of the target gas. In addition, this method adopts a multivariable relevance vector machine (MVRVM) to regress the multi-input nonlinear signal to realize the detection of the concentration of the hybrid gas. The proposed method is validated by using CO and CH4 as the experimental system samples. The experimental results illustrate that the accuracy of the proposed method reaches 98.33%, which is 5.83% and 14.16% higher than that of principal component analysis (PCA) and independent component analysis (ICA), respectively. For the hybrid gas concentration detection method, the CO and CH4 concentration detection average relative errors are reduced to 5.58% and 5.38%, respectively.

show abstract

Simulation and Calibration of Op-Amp Nonidealities in the Voltage Feedback Method for a Cross-Point Resistive Sensor Array

Shiiki

Ishikuro

2021

IEEE Sensors J.

View full text Add to dashboard Cite

Development of potentiometric miniature gas sensor arrays feasible for small olfactory chips and gas recognition from their response patterns

Cited by 4 publications

References 3 publications

Advancements in Microfabricated Gas Sensors and Microanalytical Tools for the Sensitive and Selective Detection of Odors

Advancements in Microfabricated Gas Sensors and Microanalytical Tools for the Sensitive and Selective Detection of Odors

Research on a Mixed Gas Recognition and Concentration Detection Algorithm Based on a Metal Oxide Semiconductor Olfactory System Sensor Array

Simulation and Calibration of Op-Amp Nonidealities in the Voltage Feedback Method for a Cross-Point Resistive Sensor Array

Contact Info

Product

Resources

About