An Analysis Review, Detection Coronavirus Disease 2019 (COVID-19) based on Biosensor Application

Taha, Bakr Ahmed; Arsad, Norhana; Mashhadany, Yousif Al

doi:10.20944/preprints202008.0597.v1

Cited by 24 publications

(15 citation statements)

References 130 publications

(147 reference statements)

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“…Artificial Intelligence (AI) can play a key role in complementing mitigation efforts. Another studyexplaining AI taxonomy is used to identify and recognize the medical picture of COVID-19 (17) .…”

Section: Figure 4: Display On Smartphone Room Temperature Resultsmentioning

confidence: 99%

Implementation of a Room Temperature Control System in Patient Rooms with Positive COVID-19 Patients

Adri,

Ahmad,

Sulaiman

et al. 2021

Indian Journal of Forensic Medicine & Toxicology

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Technology development triggers the development of human thought to be able to create innovations to improve performance. The increasing cases of COVID-19 infection mean that you should seek to break the chain of this virus by self-isolation. However, the purpose of self-isolation rooms should be considered especially at rooms without air conditioning. These technological innovations are needed to provide comfort for patients and families. The goal of this study is to give families of COVID-19 positive patients easy access to their loved ones' rooms without having to physically enter the room. The procedure is artificial intelligence with Arduino programming using Arduino IDE that is part of the micro controller board. Microcontrolled systems can be thought of as being like an integrated computer system packaged in a single chip. The result showed the temperature control system tool was able to work well with a temperature error rate of 1.13%. It is known that in COVID-19-positive patients it is very helpful for families to monitor room temperature and for patients to rest comfortably.

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Section: Figure 4: Display On Smartphone Room Temperature Resultsmentioning

confidence: 99%

Implementation of a Room Temperature Control System in Patient Rooms with Positive COVID-19 Patients

Adri,

Ahmad,

Sulaiman

et al. 2021

Indian Journal of Forensic Medicine & Toxicology

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“…During the current COVID-19 crisis, one of the biggest challenges is the accurate and reliable COVID-19 diagnostics. While there have been reports, even commercial efforts, that highlight the use of immunosensors to create fast test alternatives for the routinely used PCR analysis [ 89 , 90 , 91 ], no such real time MIP-based COVID-19 diagnostic is available. As discussed before in the introduction section, lab biosafety concern, less functional groups over the viruses’ surface, various mutants of COVID-19, and isolation or purification of COVID-19 virus made it more difficult to develop highly selective COVID-19 imprinted sensors.…”

Section: Challenges and Future Perspectivesmentioning

confidence: 99%

An Overview of Bio-Inspired Intelligent Imprinted Polymers for Virus Determination

Zaidi

2021

Biosensors

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The molecular imprinting polymers (MIPs) have shown their potential in various applications including pharmaceuticals, chemical sensing and biosensing, medical diagnosis, and environmental related issues, owing to their artificial selective biomimetic recognition ability. Despite the challenges posed in the imprinting and recognition of biomacromolecules, the use of MIP for the imprinting of large biomolecular oragnism such as viruses is of huge interest because of the necessity of early diagnosis of virus-induced diseases for clinical and point-of-care (POC) purposes. Thus, many fascinating works have been documented in which such synthetic systems undoubtedly explore a variety of potential implementations, from virus elimination, purification, and diagnosis to virus and bacteria-borne disease therapy. This study is focused comprehensively on the fabrication strategies and their usage in many virus-imprinted works that have appeared in the literature. The drawbacks, challenges, and perspectives are also highlighted.

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“…The rapid test kit provides false results without proper handling [ 16 , 17 ]. In reference [ 18 , 19 , 20 , 21 ], an SPR-originated fast, accurate, and highly sensitive biosensor was proposed to detect the COVID-19 virus in the future. SPR is a conventional technique applied over the last three decades to detect biomolecular interactions for clinical or research purposes [ 22 , 23 ].…”

Section: Introductionmentioning

confidence: 99%

Design and Numerical Analysis of a Graphene-Coated SPR Biosensor for Rapid Detection of the Novel Coronavirus

Akib

Mou

Rahman

et al. 2021

Sensors

108

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In this paper, a highly sensitive graphene-based multiple-layer (BK7/Au/PtSe2/Graphene) coated surface plasmon resonance (SPR) biosensor is proposed for the rapid detection of the novel Coronavirus (COVID-19). The proposed sensor was modeled on the basis of the total internal reflection (TIR) technique for real-time detection of ligand-analyte immobilization in the sensing region. The refractive index (RI) of the sensing region is changed due to the interaction of different concentrations of the ligand-analyte, thus impacting surface plasmon polaritons (SPPs) excitation of the multi-layer sensor interface. The performance of the proposed sensor was numerically investigated by using the transfer matrix method (TMM) and the finite-difference time-domain (FDTD) method. The proposed SPR biosensor provides fast and accurate early-stage diagnosis of the COVID-19 virus, which is crucial in limiting the spread of the pandemic. In addition, the performance of the proposed sensor was investigated numerically with different ligand-analytes: (i) the monoclonal antibodies (mAbs) as ligand and the COVID-19 virus spike receptor-binding domain (RBD) as analyte, (ii) the virus spike RBD as ligand and the virus anti-spike protein (IgM, IgG) as analyte and (iii) the specific probe as ligand and the COVID-19 virus single-standard ribonucleic acid (RNA) as analyte. After the investigation, the sensitivity of the proposed sensor was found to provide 183.33°/refractive index unit (RIU) in SPR angle (θSPR) and 833.33THz/RIU in SPR frequency (SPRF) for detection of the COVID-19 virus spike RBD; the sensitivity obtained 153.85°/RIU in SPR angle and 726.50THz/RIU in SPRF for detection of the anti-spike protein, and finally, the sensitivity obtained 140.35°/RIU in SPR angle and 500THz/RIU in SPRF for detection of viral RNA. It was observed that whole virus spike RBD detection sensitivity is higher than that of the other two detection processes. Highly sensitive two-dimensional (2D) materials were used to achieve significant enhancement in the Goos-Hänchen (GH) shift detection sensitivity and plasmonic properties of the conventional SPR sensor. The proposed sensor successfully senses the COVID-19 virus and offers additional (1 + 0.55) × L times sensitivity owing to the added graphene layers. Besides, the performance of the proposed sensor was analyzed based on detection accuracy (DA), the figure of merit (FOM), signal-noise ratio (SNR), and quality factor (QF). Based on its performance analysis, it is expected that the proposed sensor may reduce lengthy procedures, false positive results, and clinical costs, compared to traditional sensors. The performance of the proposed sensor model was checked using the TMM algorithm and validated by the FDTD technique.

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An Analysis Review, Detection Coronavirus Disease 2019 (COVID-19) based on Biosensor Application

Cited by 24 publications

References 130 publications

Implementation of a Room Temperature Control System in Patient Rooms with Positive COVID-19 Patients

Implementation of a Room Temperature Control System in Patient Rooms with Positive COVID-19 Patients

An Overview of Bio-Inspired Intelligent Imprinted Polymers for Virus Determination

Design and Numerical Analysis of a Graphene-Coated SPR Biosensor for Rapid Detection of the Novel Coronavirus

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