Sensing Technologies for Intelligent Environments: A Review

Ghayvat, Hemant; Mukhopadhyay, Subhas Chandra; Gui, Xiang

doi:10.1007/978-3-319-12892-4_1

Cited by 14 publications

(2 citation statements)

References 101 publications

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“…These devices have been proved extraordinarily efficient over planar FET devices, by virtue of their one-dimensional nanoscale morphology, which makes their electrical properties extremely sensitive to species adsorbed on their surfaces, down to the detection of single molecules . The abundant use of biological and chemical sensors nowadays holds the potential for these devices to become a key player to improve our daily lives in a variety of areas such as medical diagnostics, , drug discovery, scientific research, food and water quality control, environmental monitoring, agriculture, homeland security, , and more.…”

Section: Resultsmentioning

confidence: 99%

Cellular Metabolomics by a Universal Redox-Reactive Nanosensors Array: From the Cell Level to Tumor-on-a-Chip Analysis

et al. 2019

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Although biosensors based on nanowires-field effect transistor were proved extraordinarily efficient in fundamental applications, screening of charges due to the high-ionic strength of most physiological solutions imposes severe limitations in the design of smart, “real-time” sensors, as the biosample solution has to be previously desalted. This work describes the development of a novel nanowire biosensor that performs extracellular real-time multiplex sensing of small molecular metabolites, the true indicators of the body’s chemistry machinery, without any preprocessing of the biosample. Unlike other nanoFET devices that follow direct binding of analytes to their surfaces, our nanodevice acts by sensing the oxidation state of redox-reactive chemical species bound to its surface. The device’s surface array is chemically modified with a reversible redox molecular system that is sensitive to H2O2 down to 100 nM, coupled with a suite of corresponding oxidase enzymes that convert target metabolites to H2O2, enabling the direct prompt analysis of complex biosamples. This modality was successfully demonstrated for the real-time monitoring of cancer cell samples’ metabolic activity and evaluating chemotherapeutic treatment options for cancer. This distinctive system displays ultrasensitive, selective, noninvasive, multiplex, real-time, label-free, and low-cost sensing of small molecular metabolites in ultrasmall volumes of complex biosamples, in the single-microliter scale, placing our technology at the forefront of this cutting-edge field.

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Section: Resultsmentioning

confidence: 99%

Cellular Metabolomics by a Universal Redox-Reactive Nanosensors Array: From the Cell Level to Tumor-on-a-Chip Analysis

et al. 2019

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“…These data packets are further analyzed through data mining and machine learning algorithm. The final information is uploaded onto the website for remote access [2][3][4][5][6][7][8]. Fig.2 shows the heterogeneous sensor deployment into the home for ambient assisted living.…”

Section: IImentioning

confidence: 99%

Simulation and evaluation of ZigBee based smart home using Qualnet simulator

Ghayvat

Liu

Babu

et al. 2015

2015 9th International Conference on Sensing Technology (ICST)

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This research aims to represent the ZigBee mesh routing and the performance under simulation environment for smart home. In the realistic smart home, researcher does not get some of the analysis and results. Hence, we designed and developed ZigBee best virtual smart home environment on Qualnet simulator. Finally, we suggest mixed-mode simulation methodology that integrates the smart home environment with realistic wireless sensor network tested hardware to get optimized system performance.

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