Performance Evaluation of Low-Cost Flexible Gas Sensor Array With Nanocomposite Polyaniline Films

Kroutil, Jiří; Laposa, Alexandr; Voves, J.; Davydova, Marina; Náhlı́k, Josef; Kulha, Pavel; Hušák, M.

doi:10.1109/jsen.2018.2811461

Cited by 32 publications

(19 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Although so far metal oxides of nickel, zinc, titanium and others have been the most common substrates, conducting polymers such as polyaniline (PANI) have also been recently proven to serve as a suitable support matrix for dispersing metal nanoparticles [6,7]. PANI is an attractive material due to its high conductivity, ease of preparation, room temperature operation and many tunable redox properties [8,9].…”

Section: Introductionmentioning

confidence: 99%

“…Sensors 2020, 20, x FOR PEER REVIEW 2 of 10 PANI is an attractive material due to its high conductivity, ease of preparation, room temperature operation and many tunable redox properties [8,9]. Although so far, an obstacle to nanocluster growth had been the precisely controlled growth in size of the nanocluster, recent advances have been made with gold (Au), a noble metal, by using PANI in its emeraldine oxidation state as the support matrix (Figure 1).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Indirect Sensing of Lower Aliphatic Ester Using Atomic Gold Decorated Polyaniline Electrode

Chakraborty

Chien

Chang

et al. 2020

Sensors

View full text Add to dashboard Cite

Novel sensing materials have been formed by decorating polyaniline conducting polymers with atomic gold clusters where the number of atoms is precisely defined. Such materials exhibit unique electrocatalytic properties of electrooxidation to aliphatic alcohols, although analytes with other functional groups have not been studied. This paper reports a study of cyclic voltammetric patterns obtained with bi-atomic gold nanocomposite response to analytes with other functional groups for sensor applications. Principal component analysis shows separation among normal-propanol, iso-propanol and ethyl formate/ethanol groups. Indirect sensing of ethyl formate is demonstrated by electrooxidation of the product upon hydrolysis in alkaline medium. Voltammograms of ethyl formate are studied in gaseous phases.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Indirect Sensing of Lower Aliphatic Ester Using Atomic Gold Decorated Polyaniline Electrode

Chakraborty

Chien

Chang

et al. 2020

Sensors

View full text Add to dashboard Cite

show abstract

“…The gas sensing mechanism of nanocomposite layers based on PANI was discussed in [ 10 ]. Polyaniline is known as one of the most famous p-type conductive polymers.…”

Section: Resultsmentioning

confidence: 99%

“…In our previous work [ 10 ], we demonstrated a combination of organic (polyaniline, PANI) and inorganic (carbon nanotubes (CNT), SnO 2 , TiO 2 ) materials in a gas sensors based on nanocomposite layers with good sensitivity, temperature stability, reversibility, which was operating at room temperature. Herein, we extended our study by applying other nanocomposite sensing layers, namely PANI/ZnO, PANI/WO 3 (nanopowder), PANI/WO 3 (nanotubes), PANI/In 2 O 3 , PANI/C 60 (fullerene), PANI/nanocrystalline diamond (NCD), and PANI/BaTiO 3 , deposited on a flexible sensor array platform with a new design.…”

Section: Introductionmentioning

confidence: 99%

A chemiresistive sensor array based on polyaniline nanocomposites and machine learning classification

Kroutil¹,

Laposa²,

Ahmad³

et al. 2022

Beilstein J. Nanotechnol.

View full text Add to dashboard Cite

The selective detection of ammonia (NH3), nitrogen dioxide (NO2), carbon oxides (CO2 and CO), acetone ((CH3)2CO), and toluene (C6H5CH3) is investigated by means of a gas sensor array based on polyaniline nanocomposites. The array composed by seven different conductive sensors with composite sensing layers are measured and analyzed using machine learning. Statistical tools, such as principal component analysis and linear discriminant analysis, are used as dimensionality reduction methods. Five different classification methods, namely k-nearest neighbors algorithm, support vector machine, random forest, decision tree classifier, and Gaussian process classification (GPC) are compared to evaluate the accuracy of target gas determination. We found the Gaussian process classification model trained on features extracted from the data by principal component analysis to be a highly accurate method reach to 99% of the classification of six different gases.

show abstract

“…For the gas fingerprint to be as easily identifiable, the choice of sensing material in the sensor array becomes critical. The commonly used method is based on the same substrate material mixed or coated with different materials, which is convenient to remove noise [72,73]. Also, some scholars have studied how to optimize choosing the sensors in a sensor array.…”

Section: Gas Sensors Array and Signal Preprocessingmentioning

confidence: 99%

Review on Smart Gas Sensing Technology

Feng

Farha

et al. 2019

Sensors

225

122

View full text Add to dashboard Cite

With the development of the Internet-of-Things (IoT) technology, the applications of gas sensors in the fields of smart homes, wearable devices, and smart mobile terminals have developed by leaps and bounds. In such complex sensing scenarios, the gas sensor shows the defects of cross sensitivity and low selectivity. Therefore, smart gas sensing methods have been proposed to address these issues by adding sensor arrays, signal processing, and machine learning techniques to traditional gas sensing technologies. This review introduces the reader to the overall framework of smart gas sensing technology, including three key points; gas sensor arrays made of different materials, signal processing for drift compensation and feature extraction, and gas pattern recognition including Support Vector Machine (SVM), Artificial Neural Network (ANN), and other techniques. The implementation, evaluation, and comparison of the proposed solutions in each step have been summarized covering most of the relevant recently published studies. This review also highlights the challenges facing smart gas sensing technology represented by repeatability and reusability, circuit integration and miniaturization, and real-time sensing. Besides, the proposed solutions, which show the future directions of smart gas sensing, are explored. Finally, the recommendations for smart gas sensing based on brain-like sensing are provided in this paper.

show abstract

Performance Evaluation of Low-Cost Flexible Gas Sensor Array With Nanocomposite Polyaniline Films

Cited by 32 publications

References 28 publications

Indirect Sensing of Lower Aliphatic Ester Using Atomic Gold Decorated Polyaniline Electrode

Indirect Sensing of Lower Aliphatic Ester Using Atomic Gold Decorated Polyaniline Electrode

A chemiresistive sensor array based on polyaniline nanocomposites and machine learning classification

Review on Smart Gas Sensing Technology

Contact Info

Product

Resources

About