Carbon SH-SAW-Based Electronic Nose to Discriminate and Classify Sub-ppm NO2

Cruz, Carlos; Matatagui, Daniel; Ramírez, Carlos; Badillo‐Ramírez, Isidro; O-Cuevas, Emmanuel de la; Sániger, José M.; Horrillo, M.C.

doi:10.3390/s22031261

Cited by 11 publications

(3 citation statements)

References 45 publications

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“…50,139,140 Graphene and its oxide nanosheets are typical 2D materials. Since its discovery in 2004, 141 graphene has been active as a promising material in various fields such as electrochemical storage, 142 sensitive response sensor devices, 143 and optoelectronic devices 144 due to its excellent characteristics such as low cost, high specific surface area, high electrical conductivity, and high transmittance. 141 The chemical vapor deposition (CVD) method is commonly used to produce graphene nanosheets or other 2D materials on specific substrates and arealimited regions, restricting the scope of applications of twodimensional materials.…”

Section: Dimensional (2d) Materialsmentioning

confidence: 99%

Controllable-assembled functional monolayers by the Langmuir–Blodgett technique for optoelectronic applications

Lin,

Zheng,

Zhong

et al. 2024

J. Mater. Chem. C

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Section: Dimensional (2d) Materialsmentioning

confidence: 99%

Controllable-assembled functional monolayers by the Langmuir–Blodgett technique for optoelectronic applications

Lin,

Zheng,

Zhong

et al. 2024

J. Mater. Chem. C

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“…For example, in precision agriculture, it has been used to monitor crops and detect diseases [27,28]. In environmental monitoring, e-noses have been applied to monitor atmospheric pollution [29,30]. Medical applications have also employed e-noses in diagnosing diseases [31].…”

Section: Sensors and The Beaconmentioning

confidence: 99%

Integrating LoRa-Based Communications into Unmanned Aerial Vehicles for Data Acquisition from Terrestrial Beacons

et al. 2022

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The Internet of Things (IoT) is a paradigm that has rapidly evolved in recent years. The ability to connect many devices is driving the development of new types of applications that allow the remote monitoring of a wide variety of devices. One of the great challenges that has been identified in this field is the monitoring of sensors scattered in wide areas or located in environments with poor or even no communications coverage. To deal with this problem, different approaches based on cellular or satellite communications have been considered. However, these alternatives are complex and very expensive. To overcome these drawbacks, we designed a system based on unmanned aerial vehicles and LoRa technology that enables data transfer from sensors to a central system. Furthermore, machine learning techniques were applied to process and classify the data retrieved from the sensors. Finally, a Java-based application was developed, providing services such as data storage, processing, and visualization. To verify the correct operation of the proposed system, manual and autonomous flight tests were carried out, verifying the correct transmission of the data from the sensors to the central system.

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“…A successful presentation of an e-nose device with a sensor array, a data acquisition system, and machine learning that can identify changes of volatile organic compounds (VOC) present in the exhaled breath of patients and healthy beings with a 92.3% accuracy was produced [ 25 ]. For NO 2 detection, classification, and discrimination among some of the most significant ambient toxicants, a miniature electronic nose (e-nose) based on a shear horizontal surface acoustic wave (SH-SAW) sensor array was presented by [ 26 ]. Acquiring real-time breath humidity data is critical for calibrating gas sensors and precisely monitoring a patient’s physiological information for non-invasive and point-of-care diagnostic applications.…”

Section: Introductionmentioning

confidence: 99%

Forecasting the Post-Pandemic Effects of the SARS-CoV-2 Virus Using the Bullwhip Phenomenon Alongside Use of Nanosensors for Disease Containment and Cure

et al. 2022

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The COVID-19 pandemic has the tendency to affect various organizational paradigm alterations, which civilization hasyet to fully comprehend. Personal to professional, individual to corporate, and across most industries, the spectrum of transformations is vast. Economically, the globe has never been more intertwined, and it has never been subjected to such widespread disruption. While many people have felt and acknowledged the pandemic’s short-term repercussions, the resultant paradigm alterations will certainly have long-term consequences with an unknown range and severity. This review paper aims at acknowledging various approaches for the prevention, detection, and diagnosis of the SARS-CoV-2 virus using nanomaterials as a base material. A nanostructure is a material classification based on dimensionality, in proportion to the characteristic diameter and surface area. Nanoparticles, quantum dots, nanowires (NW), carbon nanotubes (CNT), thin films, and nanocomposites are some examples of various dimensions, each acting as a single unit, in terms of transport capacities. Top-down and bottom-up techniques are used to fabricate nanomaterials. The large surface-to-volume ratio of nanomaterials allows one to create extremely sensitive charge or field sensors (electrical sensors, chemical sensors, explosives detection, optical sensors, and gas sensing applications). Nanowires have potential applications in information and communication technologies, low-energy lightning, and medical sensors. Carbon nanotubes have the best environmental stability, electrical characteristics, and surface-to-volume ratio of any nanomaterial, making them ideal for bio-sensing applications. Traditional commercially available techniques have focused on clinical manifestations, as well as molecular and serological detection equipment that can identify the SARS-CoV-2 virus. Scientists are expressing a lot of interest in developing a portable and easy-to-use COVID-19 detection tool. Several unique methodologies and approaches are being investigated as feasible advanced systems capable of meeting the demands. This review article attempts to emphasize the pandemic’s aftereffects, utilising the notion of the bullwhip phenomenon’s short-term and long-term effects, and it specifies the use of nanomaterials and nanosensors for detection, prevention, diagnosis, and therapy in connection to the SARS-CoV-2.

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Carbon SH-SAW-Based Electronic Nose to Discriminate and Classify Sub-ppm NO2

Cited by 11 publications

References 45 publications

Controllable-assembled functional monolayers by the Langmuir–Blodgett technique for optoelectronic applications

Controllable-assembled functional monolayers by the Langmuir–Blodgett technique for optoelectronic applications

Integrating LoRa-Based Communications into Unmanned Aerial Vehicles for Data Acquisition from Terrestrial Beacons

Forecasting the Post-Pandemic Effects of the SARS-CoV-2 Virus Using the Bullwhip Phenomenon Alongside Use of Nanosensors for Disease Containment and Cure

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