Next-generation self-powered nanosensors

Butt, Zakia; Aziz, Muhammad; Aamir, Muhammad; Syed, Ahmed Shuja; Akhtar, Javeed

doi:10.1016/b978-0-12-823358-0.00023-x

Cited by 3 publications

(2 citation statements)

References 178 publications

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“…The sensitivity and resolution qualities of the sensors determine the degree of accuracy in the intelligence collected. Unmanned aerial and land vehicles that are equipped with nano-sensors will be undertaking invaluable missions to survey the combat zone provide support for the survival of friendly troops and ensure the early detection and identification of terrorist activities (Butt & Akhtar, 2021). In contrast to conventional sensors, smaller, less expensive, and more powerful nano-sensors together with smart systems will begin to play a role in all areas of our lives.…”

Section: Methodsmentioning

confidence: 99%

Technology, Artificial Intelligence, and Robotics in Future Wars

Oran¹,

Yılmaz²,

Ertürk³

et al. 2023

J Organ Behav Res

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This study aims to show the importance of initiating studies on the role of intelligence and its new uses in future wars without further delay and also to contribute to closing the current gap in this subject in the literature. This study aims to analyze the future post-modern wars through the reciprocal interoperability and multi-integration of technology and intelligence. This study, which adopts a qualitative research methodology, will primarily benefit from secondary data sources such as scientific books and articles in addition to scientific data analysis methods such as document and content analysis and interpretation. This study significantly contributes to the role of intelligence and the necessity to promote new scientific studies and to end the present gap in the data without delay. The ongoing developments taking place in technology will bring about the transformations clarified in this study. Ideas will be generated regarding the expected developments in technology and their roles on the battlefields of future wars. The scope of this study is the increasing importance and role of intelligence in developing network technologies as well as the potential areas where autonomous systems which can understand machinery can be used.

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Section: Methodsmentioning

confidence: 99%

Technology, Artificial Intelligence, and Robotics in Future Wars

Oran¹,

Yılmaz²,

Ertürk³

et al. 2023

J Organ Behav Res

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“…1,266 These challenges include detecting analyte concentrations at ultralow levels (down to parts per billion or nanomolar levels), coping with complex sample matrices containing numerous interfering species, addressing issues related to differentiating isomers and structural analogs, and managing intricate, multidimensional datasets. 267,268 Advanced artificial intelligence techniques, including machine learning (ML), could help to boost the performance of this kind of sensors for medical applications, 269 nanotoxicology, 270 neural prosthesis, 271 wireless technology, 272 smart agriculture, 273 environmental monitoring, 274 and advanced medical manufacturing technologies. 275…”

Section: Applications Of Machine Learning In the Nanosensors Fieldmentioning

confidence: 99%

Advancements in nanomaterials for nanosensors: a comprehensive review

Darwish,

Abd-Elaziem,

Elsheikh

et al. 2024

Nanoscale Adv.

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Electrochemical sensor for picric acid by using molecularly imprinted polymer and reduced graphene oxide modified pencil graphite electrode

Karthika

Shanmuganathan

Subramanian

2022

Proc.Indian Natl. Sci. Acad.

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Here we report an electrochemical sensor for the determination of picric acid (PA) based on molecularly imprinted polymer (MIP) on reduced graphene oxide (rGO) coated pencil graphite electrode (PGE). Pyrrole (Py) was electropolymerized on the surface of rGO modified PGE, where PA was used as the template. After the extraction of PA molecules from the polymer matrix, MIP|rGO|PGE was obtained. Computational studies were carried out to predict the possible molecular interactions between template and polymer. The electrode modifications were characterized by various electrochemical and surface imaging techniques. The MIP|rGO|PGE shows linear response over PA concentration on differential pulse voltammetric (DPV) analysis with good reproducibility. MIP|rGO|PGE has significant mechanical stability with detection limits of 1.4 μM. The proposed sensor was applied to quantify the PA level present in the soil and water as real analytical samples successfully.

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Next-generation self-powered nanosensors

Cited by 3 publications

References 178 publications

Technology, Artificial Intelligence, and Robotics in Future Wars

Technology, Artificial Intelligence, and Robotics in Future Wars

Advancements in nanomaterials for nanosensors: a comprehensive review

Electrochemical sensor for picric acid by using molecularly imprinted polymer and reduced graphene oxide modified pencil graphite electrode

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