Prototype edge-grown nanowire sensor array for the real-time monitoring and classification of multiple gases

Thai, Nguyen Xuan; Duy, Nguyễn Văn; Hung, Chu Manh; Nguyen, Hugo; Tonezzer, Matteo; Hiếu, Nguyễn Văn; Hòa, Nguyễn Đức

doi:10.1016/j.jsamd.2020.05.005

Cited by 16 publications

(11 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Silicon and metal oxide nanowires have been studied as ammonia sensors [ 19 , 20 , 21 , 22 , 23 , 24 ]. Nanowires are commonly used as a porous thin film on which metal electrodes are deposited [ 25 , 26 ] but they can also be grown directly from the electrodes [ 27 , 28 ] or even contacted individually [ 29 ]. A single nanowire has already been used to measure the freshness of mackerel samples but used in a traditional way as a simple chemiresistor [ 30 ].…”

Section: Introductionmentioning

confidence: 99%

Quantitative Assessment of Trout Fish Spoilage with a Single Nanowire Gas Sensor in a Thermal Gradient

et al. 2021

Self Cite

View full text Add to dashboard Cite

The response of a single tin oxide nanowire was collected at different temperatures to create a virtual array of sensors working as a nano-electronic nose. The single nanowire, acting as a chemiresistor, was first tested with pure ammonia and then used to determine the freshness status of trout fish (Oncorhynchus mykiss) in a rapid and non-invasive way. The gas sensor reacts to total volatile basic nitrogen, detecting the freshness status of the fish samples in less than 30 s. The sensor response at different temperatures correlates well with the total viable count (TVC), demonstrating that it is a good (albeit indirect) way of measuring the bacterial population in the sample. The nano-electronic nose is not only able to classify the samples according to their degree of freshness but also to quantitatively estimate the concentration of microorganisms present. The system was tested with samples stored at different temperatures and classified them perfectly (100%), estimating their log(TVC) with an error lower than 5%.

show abstract

Section: Introductionmentioning

confidence: 99%

Quantitative Assessment of Trout Fish Spoilage with a Single Nanowire Gas Sensor in a Thermal Gradient

et al. 2021

Self Cite

View full text Add to dashboard Cite

show abstract

“…Recent advances in microelectronics and chemistry have allowed the development of a large number of microsensors whose low consumption and low cost have made it possible to generalise their use in a large number of industrial and public applications [39,40,41]. In the field of air quality monitoring, several research works are conducted for the the development of measuring stations able to detect pollutants such as CO 2 , CO, NO 2 , SO 2 , VOC and Ozone [25,3,16,29].…”

Section: List Of Abbreviation and Acronymsmentioning

confidence: 99%

A temporal-based SVM approach for the detection and identification of pollutant gases in a gas mixture

et al. 2021

View full text Add to dashboard Cite

Air toxicity and pollution phenomena are on the rise across the planet. Thus, the detection and control of gas pollution are nowadays major economic and environmental challenges. There exists a wide variety of sensors that can detect gas pollution events. However, they are either gas-specific or weak in the presence of gas mixtures. This paper handles this issue by presenting method based on a Temporal-based Support Vector Machine for for the detection and identification of several toxic gases in a gas mixture. The considered gases are carbon monoxide (CO), ozone (O 3 ) and nitrogen dioxide (NO 2 ). Furthermore, an incremental algorithm is proposed in this paper for the selection of the best performing kernel function in terms of accuracy and simplicity of implementation. Then, a decision-making algorithm based on the rate of appearance of a class on a moving window is proposed to improve decision making in presence of uncertainties. This algorithm allows the user to master the false-alarms and no-detection dilemma, and quantify the level of confidence attributed to the decision. Experimental results, obtained with different gas mixtures, show the effectiveness of the proposed approach with 100% of accuracy in the learning and testing stages.

show abstract

“…Thin films and nanostructures exhibit better sensing characteristics. Various researchers have reported structures with morphologies such as nanowires (NWs) [10][11][12][13][14][15][16], nanorods [17][18][19][20], nanosheets [21][22][23], nanobelts [24,25], and nano/micro-spheres/ cubes/polyhedrons [26][27][28][29] with enhanced sensitivity as a gas sensor. A rich collection of research articles and review papers on distinct morphological nanostructured gas sensors exist [26,30,31].…”

Section: Introductionmentioning

confidence: 99%

Morphology-driven gas sensing by fabricated fractals: A review

Kamathe

Nagar

2021

Beilstein J. Nanotechnol.

View full text Add to dashboard Cite

Fractals are intriguing structures that repeat themselves at various length scales. Interestingly, fractals can also be fabricated artificially in labs under controlled growth environments and be explored for various applications. Such fractals have a repeating unit that spans in length from nano- to millimeter range. Fractals thus can be regarded as connectors that structurally bridge the gap between the nano- and the macroscopic worlds and have a hybrid structure of pores and repeating units. This article presents a comprehensive review on inorganic fabricated fractals (fab-fracs) synthesized in labs and employed as gas sensors across materials, morphologies, and gas analytes. The focus is to investigate the morphology-driven gas response of these fab-fracs and identify key parameters of fractal geometry in influencing gas response. Fab-fracs with roughened microstructure, pore-network connectivity, and fractal dimension (D) less than 2 are projected to be possessing better gas sensing capabilities. Fab-fracs with these salient features will help in designing the commercial gas sensors with better performance.

show abstract

Prototype edge-grown nanowire sensor array for the real-time monitoring and classification of multiple gases

Cited by 16 publications

References 26 publications

Quantitative Assessment of Trout Fish Spoilage with a Single Nanowire Gas Sensor in a Thermal Gradient

Quantitative Assessment of Trout Fish Spoilage with a Single Nanowire Gas Sensor in a Thermal Gradient

A temporal-based SVM approach for the detection and identification of pollutant gases in a gas mixture

Morphology-driven gas sensing by fabricated fractals: A review

Contact Info

Product

Resources

About