Novel electrochemical biosensor key significance of smart intelligence (IoMT &amp; IoHT) of COVID-19 virus control management

Paladhi, Amogha G; Manohar, M; Pal, Kaushik; Vallinayagam, Sugumari; Packirisamy, Azhagu Saravana Babu; Bashreer, Vajiha Aafrin; Nandhini, R Sai; Ukhurebor, Kingsley Eghonghon

doi:10.1016/j.procbio.2022.09.023

Cited by 15 publications

(7 citation statements)

References 19 publications

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“…During the COVID-19 pandemic, the IoMT, applications of AI and ML in POCs have drastically grown [ 136 ]. Due to the contagious nature of the virus governments-imposed lockdowns on cities to prevent the virus from spreading.…”

Section: Application Of Nanobiosensors In Viral Diagnosticsmentioning

confidence: 99%

“…Unfortunately, acquiring medical supplies made it necessary to come out of isolation, which compromised the effectiveness of quarantine efforts. Better outcomes for controlling the spread of infection and offering adequate healthcare to patients without putting others at risk, it was POCs use to monitor patient health at home and IoMT creation to share information with doctors and hospitals [ 136 – 138 ]. Biosensors have been incorporated into simple miniaturized analytical devices that enable SARSCoV-2 diagnosis, monitoring, and management with various analytical approaches [ 139 – 141 ].…”

Section: Application Of Nanobiosensors In Viral Diagnosticsmentioning

confidence: 99%

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Impact of nanotechnology on conventional and artificial intelligence-based biosensing strategies for the detection of viruses

et al. 2023

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Recent years have witnessed the emergence of several viruses and other pathogens. Some of these infectious diseases have spread globally, resulting in pandemics. Although biosensors of various types have been utilized for virus detection, their limited sensitivity remains an issue. Therefore, the development of better diagnostic tools that facilitate the more efficient detection of viruses and other pathogens has become important. Nanotechnology has been recognized as a powerful tool for the detection of viruses, and it is expected to change the landscape of virus detection and analysis. Recently, nanomaterials have gained enormous attention for their value in improving biosensor performance owing to their high surface-to-volume ratio and quantum size effects. This article reviews the impact of nanotechnology on the design, development, and performance of sensors for the detection of viruses. Special attention has been paid to nanoscale materials, various types of nanobiosensors, the internet of medical things, and artificial intelligence-based viral diagnostic techniques.

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Section: Application Of Nanobiosensors In Viral Diagnosticsmentioning

confidence: 99%

Section: Application Of Nanobiosensors In Viral Diagnosticsmentioning

confidence: 99%

Impact of nanotechnology on conventional and artificial intelligence-based biosensing strategies for the detection of viruses

et al. 2023

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“…To supplement learning experiences, chalk and board, pictorial charts, drawings, and imaginations were used (Adebayo & Balogun, 2019). The COVID-19 pandemic, notwithstanding of its numerous negative effects (Ukhurebor, et al, 2021;Paladhi, et al, 2022), and alleged few positive effects , on the other hand, has resulted in the acceptance of e-learning strategies to effectively improve the overall performance of students and teachers in schools Armstrong-Mensah, et al, 2020;Coa, et al, 2020;Amir, et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Appraisal of E-Learning and students’ academic performance: A perspective from secondary schools

Olusegun

Uranta

Ukhurebor

et al. 2023

CJES

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This study investigated the effects of electronic learning (e-learning) on the academic performance (AP) of students in selected secondary (high) schools. A cross-sectional survey was used in this study to get data regarding students’ AP. The study was limited to three e-learning platforms (Zoom, WhatsApp, and Google Classroom) which were used by the participants in the survey during the COVID-19 pandemic-induced lockdown. A quantitative statistical analysis was carried out on the gathered data using SPSS. Analyses showed that e-learning had a negative effect on the attitudes of students. Furthermore, the analysis revealed that the e-learning systems were not as effective as traditional face-to-face teaching due to factors such as poor network connectivity and lack of collaborative activities. Furthermore, it was discovered that the e-learning materials were not widely available and accessible to the participants. Finally, suggestions that would guide further studies and improve student AP were also recommended. Keywords: Academic performance, E-learning, Learning, Student, School

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“…Since 2019, the COVID-19 pandemic has affected more than 200 countries and led to a substantially increased demand for single-use medical waste that intensifies pressure on an already out-of-control global medical waste problem (Ahmadi et al 2020 ; Govindan et al 2020 ; Kargar et al 2020 ; Peng et al 2021 ; Sarkodie and Owusu 2021 ; Paladhi et al 2022 ). Failure to properly handle the infectious medical waste generated by health facilities and households could exacerbate the spread of COVID-19 through secondary transmission and aggravate potential health risks (Jeevanandam et al 2019 ; Pal et al 2020 ; Aljabali et al 2021 ; Sarkodie and Owusu 2021 ).…”

Section: Introductionmentioning

confidence: 99%

An atmospheric microwave plasma-based distributed system for medical waste treatment

Jie

Liu

Xia

et al. 2023

Environ Sci Pollut Res

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Inadequate handling of infectious medical waste may promote the spread of the virus through secondary transmission during the transfer process. Microwave plasma, an ease-of-use, device-compact, and pollution-free technology, enables the on-site disposal of medical waste, thereby preventing secondary transmission. We developed atmospheric-pressure air-based microwave plasma torches with lengths exceeding 30 cm to rapidly treat various medical wastes in situ with nonhazardous exhaust gas. The gas compositions and temperatures throughout the medical waste treatment process were monitored by gas analyzers and thermocouples in real time. The main organic elements in medical waste and their residues were analyzed by an organic elemental analyzer. The results showed that (i) the weight reduction ratio of medical waste achieved a maximum value of 94%; (ii) a water–waste ratio of 30% was beneficial for enhancing the microwave plasma treatment effect for medical wastes; and (iii) substantial treatment effectiveness was achievable under a high feeding temperature (≥ 600 °C) and a high gas flow rate (≥ 40 L/min). Based on these results, we built a miniaturized and distributed pilot prototype for microwave plasma torch-based on-site medical waste treatment. This innovation could fill the gap in the field of small-scale medical waste treatment facilities and alleviate the existing issue of handling medical waste on-site. Graphical abstract

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Novel electrochemical biosensor key significance of smart intelligence (IoMT & IoHT) of COVID-19 virus control management

Cited by 15 publications

References 19 publications

Impact of nanotechnology on conventional and artificial intelligence-based biosensing strategies for the detection of viruses

Impact of nanotechnology on conventional and artificial intelligence-based biosensing strategies for the detection of viruses

Appraisal of E-Learning and students’ academic performance: A perspective from secondary schools

An atmospheric microwave plasma-based distributed system for medical waste treatment

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