Rapid, label-free, and sensitive point-of-care testing of anti-SARS-CoV-2 IgM/IgG using all-fiber Fresnel reflection microfluidic biosensor

Xu, Wenjuan; Liu, Jiayao; Song, Dan; Li, Chunsheng; Zhu, Anna; Long, Feng

doi:10.1007/s00604-021-04911-0

Cited by 24 publications

(14 citation statements)

References 35 publications

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“…The recognition elements of optical biosensors can be divided into aptamers, molecular imprint polymers (MIPs), and antibodies [ 49 ]. Wenjuan and his colleagues created the first unique microfluidic biosensor using Fresnel reflection for the detection of SARS-CoV-2 without a label that is quick, simple, and sensitive [ 50 ].…”

Section: Sars-cov-2 Biosensorsmentioning

confidence: 99%

A Framework for Biosensors Assisted by Multiphoton Effects and Machine Learning

et al. 2022

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The ability to interpret information through automatic sensors is one of the most important pillars of modern technology. In particular, the potential of biosensors has been used to evaluate biological information of living organisms, and to detect danger or predict urgent situations in a battlefield, as in the invasion of SARS-CoV-2 in this era. This work is devoted to describing a panoramic overview of optical biosensors that can be improved by the assistance of nonlinear optics and machine learning methods. Optical biosensors have demonstrated their effectiveness in detecting a diverse range of viruses. Specifically, the SARS-CoV-2 virus has generated disturbance all over the world, and biosensors have emerged as a key for providing an analysis based on physical and chemical phenomena. In this perspective, we highlight how multiphoton interactions can be responsible for an enhancement in sensibility exhibited by biosensors. The nonlinear optical effects open up a series of options to expand the applications of optical biosensors. Nonlinearities together with computer tools are suitable for the identification of complex low-dimensional agents. Machine learning methods can approximate functions to reveal patterns in the detection of dynamic objects in the human body and determine viruses, harmful entities, or strange kinetics in cells.

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Section: Sars-cov-2 Biosensorsmentioning

confidence: 99%

A Framework for Biosensors Assisted by Multiphoton Effects and Machine Learning

et al. 2022

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“…They used a photodiode detector (PD-1000) that can quantify antibody concentrations by measuring the intensity of the Fresnel reflection light that changes along with the increase or decrease in the refractive index (RI) of the biosensing surface due to the formation of antigen-antibody complexes. This device can detect anti-S IgG/IgM within 7 min with a limit of detection of 0.82 ng/mL for IgG and 0.45 ng/mL for IgM, which is validated by testing six negative serum samples ( Table 1 ) [ 32 ].…”

Section: Microfluidics In Sars-cov-2mentioning

confidence: 99%

Microfluidics Technology in SARS-CoV-2 Diagnosis and Beyond: A Systematic Review

Jamiruddin

Meghla

Islam

et al. 2022

Life

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With the progression of the COVID-19 pandemic, new technologies are being implemented for more rapid, scalable, and sensitive diagnostics. The implementation of microfluidic techniques and their amalgamation with different detection techniques has led to innovative diagnostics kits to detect SARS-CoV-2 antibodies, antigens, and nucleic acids. In this review, we explore the different microfluidic-based diagnostics kits and how their amalgamation with the various detection techniques has spearheaded their availability throughout the world. Three other online databases, PubMed, ScienceDirect, and Google Scholar, were referred for articles. One thousand one hundred sixty-four articles were determined with the search algorithm of microfluidics followed by diagnostics and SARS-CoV-2. We found that most of the materials used to produce microfluidics devices were the polymer materials such as PDMS, PMMA, and others. Centrifugal force is the most commonly used fluid manipulation technique, followed by electrochemical pumping, capillary action, and isotachophoresis. The implementation of the detection technique varied. In the case of antibody detection, spectrometer-based detection was most common, followed by fluorescence-based as well as colorimetry-based. In contrast, antigen detection implemented electrochemical-based detection followed by fluorescence-based detection, and spectrometer-based detection were most common. Finally, nucleic acid detection exclusively implements fluorescence-based detection with a few colorimetry-based detections. It has been further observed that the sensitivity and specificity of most devices varied with implementing the detection-based technique alongside the fluid manipulation technique. Most microfluidics devices are simple and incorporate the detection-based system within the device. This simplifies the deployment of such devices in a wide range of environments. They can play a significant role in increasing the rate of infection detection and facilitating better health services.

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“…The specific IgG was proved with a detection limit of 12.5 ng/mL for a sample sized 100 µL and an assay lasting 25 min. Xu et al constructed another fiber optic device for the detection of IgG and IgM against S protein [ 90 ]. The researchers opted for a Fresnel reflection microfluidic biosensor as a device allowing quite fast and label-free detection of the antibodies.…”

Section: Biosensors For Measuring Anti-covid-19 Antibodiesmentioning

confidence: 99%

Progress in Biosensors for the Point-of-Care Diagnosis of COVID-19

Pohanka

2022

Sensors

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Coronavirus disease 2019 (COVID-19) is a highly virulent infection that has caused a pandemic since 2019. Early diagnosis of the disease has been recognized as one of the important approaches to minimize the pathological impact and spread of infection. Point-of-care tests proved to be substantial analytical tools, and especially lateral flow immunoassays (lateral flow tests) serve the purpose. In the last few years, biosensors have gained popularity. These are simple but highly sensitive and accurate analytical devices composed from a selective molecule such as an antibody or antigen and a sensor platform. Biosensors would be an advanced alternative to current point-of-care tests for COVID-19 diagnosis and standard laboratory methods as well. Recent discoveries related to point-of-care diagnostic tests for COVID-19, the development of biosensors for specific antibodies and specific virus parts or their genetic information are reviewed.

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Rapid, label-free, and sensitive point-of-care testing of anti-SARS-CoV-2 IgM/IgG using all-fiber Fresnel reflection microfluidic biosensor

Cited by 24 publications

References 35 publications

A Framework for Biosensors Assisted by Multiphoton Effects and Machine Learning

A Framework for Biosensors Assisted by Multiphoton Effects and Machine Learning

Microfluidics Technology in SARS-CoV-2 Diagnosis and Beyond: A Systematic Review

Progress in Biosensors for the Point-of-Care Diagnosis of COVID-19

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