A Tramadol Drug Electrochemical Sensor Amplified by Biosynthesized Au Nanoparticle Using Mentha aquatic Extract and Ionic Liquid

Hojjati–Najafabadi, Akbar; Salmanpour, Sadegh; Şen, Fatih; Asrami, Padideh Naderi; Mahdavian, Majid; Khalilzadeh, Mohammad A.

doi:10.1007/s11244-021-01498-x

Cited by 40 publications

(15 citation statements)

References 68 publications

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“…The applications of robotic could be extended on various potential works such as environmental, energy, hybrid materials, biomaterials, etc [43][44][45][46][47][48][49][50][51][52].…”

Section: Discussionmentioning

confidence: 99%

Review On: The Service Robot Mathematical Model

Moshayedi

Roy

Sambo

et al. 2022

EAI Endorsed Trans AI Robotics

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After nearly 30 years of development, service robot technology has made important achievements in the interdisciplinary aspects of machinery, information, materials, control, medicine, etc. These robot types have different shapes, and mainly in some are shaped based on application. Till today various structure are proposed which for the better analysis’s need to have the mathematical equation that can model the structure and later the behaviour of them after implementing the controlling strategy. The current paper discusses the various shape and applications of all available service robots and briefly summarizes the research progress of key points such as robot dynamics, robot types, and different dynamic models of the differential types of service robots. The current review study can be helpful as an initial node for all researchers in this topic and help them to have the better simulation and analyses. Besides the current research shows some application that can specify the service robot model over the application.

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“…The applications of robotic could be extended on various potential works such as environmental, energy, hybrid materials, biomaterials, etc [43][44][45][46][47][48][49][50][51][52].…”

Section: Discussionmentioning

confidence: 99%

Review On: The Service Robot Mathematical Model

Moshayedi

Roy

Sambo

et al. 2022

EAI Endorsed Trans AI Robotics

View full text Add to dashboard Cite

show abstract

“…In this area, the convergence of technologies makes it easier to achieve this goal for people from all walks of life. Implications of DL in healthcare has been increasing in the past 6 years [56][57][58]. This has mostly happened because of the increase in Big Data analytics and research, IoT advances, and ML advancements [59 and 60].…”

Section: In Healthcarementioning

confidence: 99%

Deep Learning Application Pros And Cons Over Algorithm

Moshayedi

Roy

Kolahdooz

et al. 2022

EAI Endorsed Trans AI Robotics

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Deep learning is a new area of machine learning research. Deep learning technology applies the nonlinear and advanced transformation of model abstraction into a large database. The latest development shows that deep learning in various fields and greatly contributed to artificial intelligence so far. This article reviews the contributions and new applications of deep learning. The main target of this review is to give the summarize points for scholars to have the analysis about applications and algorithms. Then review tries to investigate the main applications and uses algorithms. In addition, the advantages of using the method of deep learning and its hierarchical and nonlinear functioning are introduced and compared to traditional algorithms in common applications. The following three criteria should be taken into consideration when choosing the area of application. (1) expertise or knowledge of the author; (2) the successful application of deep learning technology has changed the field of application, such as voice recognition, chat robots, search technology and vision; and (3) deep learning can have a significant impact on the application domain and benefit from recent research with natural language and text processing, information recovery and multimodal information processing resulting from multitasking deep learning. This review provides a general overview of a new concept and the growing benefits and popularity of deep learning, which can help researchers and students interested in deep learning methods.

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“…Mentha aquatic extract was used to produce Au nanoparticles utilizing a biosynthetic method [38]. e Au NPs were produced and employed as a conductive mediator to modify the tramadol electrochemical sensor.…”

Section: Gold Nanoparticles (Au Nps)mentioning

confidence: 99%

Green Nanotechnology: Recent Research on Bioresource-Based Nanoparticle Synthesis and Applications

Alqarni

Alghamdi

Alshahrani

et al. 2022

Journal of Chemistry

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In the last decades, the idea of green nanotechnology has been expanding, and researchers are developing greener and more sustainable techniques for synthesizing nanoparticles (NPs). The major objectives are to fabricate NPs using simple, sustainable, and cost-effective procedures while avoiding the use of hazardous materials that are usually utilized as reducing or capping agents. Many biosources, including plants, bacteria, fungus, yeasts, and algae, have been used to fabricate NPs of various shapes and sizes. The authors of this study emphasized the most current studies for fabricating NPs from biosources and their applications in a wide range of fields. This review addressed studies that cover green techniques for synthesizing nanoparticles of Ag, Au, ZnO, CuO, Co3O4, Fe3O4, TiO2, NiO, Al2O3, Cr2O3, Sm2O3, CeO2, La2O3, and Y2O3. Also, their applications were taken under consideration and discussed.

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A Tramadol Drug Electrochemical Sensor Amplified by Biosynthesized Au Nanoparticle Using Mentha aquatic Extract and Ionic Liquid

Cited by 40 publications

References 68 publications

Review On: The Service Robot Mathematical Model

Review On: The Service Robot Mathematical Model

Deep Learning Application Pros And Cons Over Algorithm

Green Nanotechnology: Recent Research on Bioresource-Based Nanoparticle Synthesis and Applications

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