A Rapid and Quantitative Serum Test for SARS-CoV-2 Antibodies with Portable Surface Plasmon Resonance Sensing

Djaïleb, Abdelhadi; Charron, Benjamin; Jodaylami, Maryam Hojjat; Thibault, Vincent; Coutu, Julien; Stevenson, Kristen E.; Forest, Simon; Live, Ludovic S.; Boudreau, Denis; Pelletier, Joelle N.; Masson, Jean-François

doi:10.26434/chemrxiv.12118914

Cited by 46 publications

(43 citation statements)

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“…Thus, this bioassay is rapid, label-free which can diagnose samples within 15 min of sample/sensor contact (Fig. 2 d) (Djaileb et al 2020 ). For the detection of current pandemic (SARS-CoV-2), dual-functional, plasmonic biosensor Plasmonic Photothermal (PPT) and LSPR were also explored.…”

Section: Recent Trends In Biosensors For Detection Of Sars-cov-2mentioning

confidence: 99%

Biosensors: frontiers in rapid detection of COVID-19

2020

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The rapid community-spread of novel human coronavirus 2019 (nCOVID19 or SARS-Cov2) and morbidity statistics has put forth an unprecedented urge for rapid diagnostics for quick and sensitive detection followed by contact tracing and containment strategies, especially when no vaccine or therapeutics are known. Currently, quantitative real-time polymerase chain reaction (qRT-PCR) is being used widely to detect COVID-19 from various types of biological specimens, which is time-consuming, labor-intensive and may not be rapidly deployable in remote or resource-limited settings. This might lead to hindrance in acquiring realistic data of infectivity and community spread of SARS-CoV-2 in the population. This review summarizes the existing status of current diagnostic methods, their possible limitations, and the advantages of biosensorbased diagnostics over the conventional ones for the detection of SARS-Cov-2. Novel biosensors used to detect RNA-viruses include CRISPR-Cas9 based paper strip, nucleic-acid based, aptamer-based, antigen-Au/Ag nanoparticles-based electrochemical biosensor, optical biosensor, and Surface Plasmon Resonance. These could be effective tools for rapid, authentic, portable, and more promising diagnosis in the current pandemic that has affected the world economies and humanity. Present challenges and future perspectives of developing robust biosensors devices for rapid, scalable, and sensitive detection and management of COVID-19 are presented in light of the test-test-test theme of the World Health Organization (WHO).

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Section: Recent Trends In Biosensors For Detection Of Sars-cov-2mentioning

confidence: 99%

Biosensors: frontiers in rapid detection of COVID-19

2020

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“…The developed technique was found effective to provide real-time, label-free detection of viral sequences, including RdRp-COVID, ORF lab-COVID, and E genes fro SARS-CoV-2. In a very recent work, J-F Masson and the colleagues reported an SPR sensor detecting the nucleocapsid antibodies specific against SARS-CoV-2 in human serum ( Djaileb et al, 2020 ). In the study, an SPR sensing surface coated with a peptide monolayer immobilized with SARS-CoV-2 nucleocapsid recombinant protein provided anti-SARS-CoV-2 detection in the nanomolar range.…”

Section: Surface Plasmon Resonance Based Virus Detectionmentioning

confidence: 99%

Optical technologies for the detection of viruses like COVID-19: Progress and prospects

Lukose

Chidangil

George

2021

Biosensors and Bioelectronics

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“…The label-free device detects antibodies up to ∼1 μg mL –1 within 15 min and hence can be used for point-of-care testing. 65 At a glance, these SPR based optical sensors can not only detect infectious agent in ultralow concentration with high specificity and selectivity, but also detect the variants of viral strains. Further, with the current advancement in the field of nanofabrication they can also be integrated with microfluidic platform which can not only enhance the sensitivity of these devices but also help in the miniaturization process.…”

Section: Novel Biosensors For Point-of-care Diagnostics Of Covid-19mentioning

confidence: 99%

Point-of-Care Biosensor-Based Diagnosis of COVID-19 Holds Promise to Combat Current and Future Pandemics

Parihar

Ranjan

Sanghi

et al. 2020

ACS Appl. Bio Mater.

138

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Efficient and rapid detection of viruses plays an extremely important role in disease prevention, diagnosis, and environmental monitoring. Early screening of viral infection among the population has the potential to combat the spread of infection. However, the traditional methods of virus detection being used currently, such as plate culturing and quantitative RT-PCR, give promising results, but they are time-consuming and require expert analysis and costly equipment and reagents; therefore, they are not affordable by people in low socio-economic groups in developing countries. Further, mass or bulk testing chosen by many governments to tackle the pandemic situation has led to severe shortages of testing kits and reagents and hence are affecting the demand and supply chain drastically. We tried to include all the reported current scenario-based biosensors such as electrochemical, optical, and microfluidics, which have the potential to replace mainstream diagnostic methods and therefore could pave the way to combat COVID-19. Apart from this, we have also provided information on commercially available biosensors for detection of SARS-CoV-2 along with the challenges in development of better diagnostic approaches. It is therefore expected that the content of this review will help researchers to design and develop more sensitive advanced commercial biosensor devices for early diagnosis of viral infection, which can open up avenues for better and more specific therapeutic outcomes.

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A Rapid and Quantitative Serum Test for SARS-CoV-2 Antibodies with Portable Surface Plasmon Resonance Sensing

Cited by 46 publications

References 0 publications

Biosensors: frontiers in rapid detection of COVID-19

Biosensors: frontiers in rapid detection of COVID-19

Optical technologies for the detection of viruses like COVID-19: Progress and prospects

Point-of-Care Biosensor-Based Diagnosis of COVID-19 Holds Promise to Combat Current and Future Pandemics

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