PPy-Metal Oxide Hybrid Nanocomposite Sensor Array for Simultaneous Determination of Volatile Organic Amines in High Humid Atmosphere

Jamalabadi, Hoda; Mani-Varnosfaderani, Ahmad; Alizadeh, Naader

doi:10.1109/jsen.2017.2766122

Cited by 7 publications

(3 citation statements)

References 19 publications

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“…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

226

122

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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.

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Section: Gas Sensors Array and Signal Preprocessingmentioning

confidence: 99%

Review on Smart Gas Sensing Technology

Feng

Farha

et al. 2019

Sensors

226

122

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“…They are desirable in this field as they have low operation temperature. CPs can be served as host materials for inorganic semiconductors leading to the composite with improved sensing performances [21,[37][38][39]. In our previous study, the chemiresistive sensor based on PPy/WO 3 was introduced as a low-temperature acetone gas sensor [21].…”

Section: Introductionmentioning

confidence: 99%

Detection of acetone in the human breath as diabetes biomarker based on PPy/WO₃ nanocomposite sensor by FFT continuous cyclic voltammetry method

Alizadeh¹,

Amiri²,

Mohammadpour³

et al. 2023

Electroanalysis

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This research represents a novel detection method of acetone level in the exhaled breath samples (RH=88 %) based on polypyrrole/tungsten oxide (PPy/WO3) nanocomposite sensor. The PPy/WO3 sensor was fabricated by the deposition of nanocomposite on/between interdigitated electrodes (IDEs) through electrospray coating and was then characterized by FE‐SEM imaging. In this detection method, the coulometric signal of the sensor was calculated using Fast Fourier Continuous Cyclic Voltammetry (FFTCCV), where cyclic voltammetry (CV) was applied to the sensor in the defined potential rang and then charge changes of the sensor was obtained by integration of the current in all scanned potential ranges. FFTCCV method enhances the sensitivity of the sensor when exposed to the gas mixtures containing acetone. In addition to its fast coulometric response time (≤5 s) in the two linear ranges of 0.7–2.8 ppm and 2.8–28.2 ppm (R2=0.99), FFTCCV method provides the low detection limit of 70 ppb, and high sensitivity toward acetone at the optimum values of the parameters. The fabricated sensor showed great selectivity toward acetone when exposed to humid air and some exhaled gas like carbon dioxide, ammonia, methanol, ethanol and alkyl amines. The results were very satisfying as the sensor was capable to detect different acetone levels in human exhaled breath as non‐invasive diagnosis of diabetes with a good correlation (R2≃0.9) to the routine blood sugar test taken by different commercial glucometers results.

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“…Table 2 projects a comparative table for β-Bi 2 O 3 thin film and different nanostructured metal oxides based dimethylamine sensors, including the present work. It indicate that β-Bi 2 O 3 thin film exhibit better sensing characteristics than any other reported material[1,11,[34][35][36][37][38]. Further, most of the reported sensors are working at higher operating temperature (300 °C), but β-Bi 2 O 3 thin-film based dimethylamine sensors operate at room temperature with linear sensing response, fast responserecovery behaviour, better sensing response in mixed amine environment, better selectivity and stability.…”

mentioning

confidence: 98%

Highly Selective Dimethylamine Vapour Sensors Based on Spray Deposited β-Bi2O3 Nanospheres at Low Temperature

Pandeeswari¹,

Sonia

Balamurugan

et al. 2021

Sens Imaging

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The nanostructured β-Bi 2 O 3 thin film was deposited on glass substrates by chemical spray pyrolysis technique using the mixture of bismuth nitrate pentahydrate with deionized water and nitric acid as a precursor solution. The thin film deposition condition and the precursor salt concentration were optimized to obtain nanostructured β-Bi 2 O 3 thin films. The film obtained from 0.05 M of bismuth nitrate pentahydrate aqueous solution was sprayed at the rate of 3 mL/min. on pre-heated glass substrate at the temperature of 250 °C yielded spherical shaped well-connected nanocrystallites, which has large surface area. The diffraction peak position in XRD confirmed the formation of crystalline β-Bi 2 O 3 with tetragonal crystal structure. Further sensing characteristics of β-Bi 2 O 3 thin film towards various dimethylamine (DMA) vapour concentration have been investigated. The sensing results revealed that β-Bi 2 O 3 thin film shows good sensing response towards dimethylamine vapour at an ambient temperature. The minimum detection limit was found to be 0.5 ppm, and sensors show shorter response and recovery time (28 s and 10 s). The dimethylamine sensing characteristics (response, sensitivity, electrical hysteresis, selectivity in mixed vapour environment, stability) of β-Bi 2 O 3 thin films were discussed and reported.

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PPy-Metal Oxide Hybrid Nanocomposite Sensor Array for Simultaneous Determination of Volatile Organic Amines in High Humid Atmosphere

Cited by 7 publications

References 19 publications

Review on Smart Gas Sensing Technology

Review on Smart Gas Sensing Technology

Detection of acetone in the human breath as diabetes biomarker based on PPy/WO₃ nanocomposite sensor by FFT continuous cyclic voltammetry method

Highly Selective Dimethylamine Vapour Sensors Based on Spray Deposited β-Bi2O3 Nanospheres at Low Temperature

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PPy-Metal Oxide Hybrid Nanocomposite Sensor Array for Simultaneous Determination of Volatile Organic Amines in High Humid Atmosphere

Cited by 7 publications

References 19 publications

Review on Smart Gas Sensing Technology

Review on Smart Gas Sensing Technology

Detection of acetone in the human breath as diabetes biomarker based on PPy/WO3 nanocomposite sensor by FFT continuous cyclic voltammetry method

Highly Selective Dimethylamine Vapour Sensors Based on Spray Deposited β-Bi2O3 Nanospheres at Low Temperature

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Detection of acetone in the human breath as diabetes biomarker based on PPy/WO₃ nanocomposite sensor by FFT continuous cyclic voltammetry method