Acoustical Slot Mode Sensor for the Rapid Coronaviruses Detection

Guliy, О. I.; Зайцев, Б. Д.; Teplykh, А. Е.; Balashov, S. M.; Фомин, А. С.; Староверов, С. А.; Бородина, И. А.

doi:10.3390/s21051822

Cited by 9 publications

(5 citation statements)

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“…An electroacoustic sensor platform was used for the immunodetection of the transmissible gastroenteritis virus of swine (TGEV) [ 62 ]. Recently, colorimetric sensors [ 63 ] and surface-enhanced Raman spectroscopy (SERS) [ 64 ] have been actively used for virus diagnosis.…”

Section: Methods Of Virus Detectionmentioning

confidence: 99%

Antibody Phage Display Technology for Sensor-Based Virus Detection: Current Status and Future Prospects

et al. 2023

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Viruses are widespread in the environment, and many of them are major pathogens of serious plant, animal, and human diseases. The risk of pathogenicity, together with the capacity for constant mutation, emphasizes the need for measures to rapidly detect viruses. The need for highly sensitive bioanalytical methods to diagnose and monitor socially significant viral diseases has increased in the past few years. This is due, on the one hand, to the increased incidence of viral diseases in general (including the unprecedented spread of a new coronavirus infection, SARS-CoV-2), and, on the other hand, to the need to overcome the limitations of modern biomedical diagnostic methods. Phage display technology antibodies as nano-bio-engineered macromolecules can be used for sensor-based virus detection. This review analyzes the commonly used virus detection methods and approaches and shows the prospects for the use of antibodies prepared by phage display technology as sensing elements for sensor-based virus detection.

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Section: Methods Of Virus Detectionmentioning

confidence: 99%

Antibody Phage Display Technology for Sensor-Based Virus Detection: Current Status and Future Prospects

et al. 2023

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“…The principle of electroacoustic analysis is the detection of fluctuations of a signal that results from specific biological antigen-antibody interactions, and the presence of extraneous viruses did not interfere with the determination. The presence of antiviral antibodies led to a change in the sensor parameters [117].…”

Section: The Use Of Physico-chemical Methods For the Development Of Immunosensorsmentioning

confidence: 99%

Antibodies as Biosensors’ Key Components: State-of-the-Art in Russia 2020–2021

Rudenko

Fursova

Shepelyakovskaya

et al. 2021

Sensors

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The recognition of biomolecules is crucial in key areas such as the timely diagnosis of somatic and infectious diseases, food quality control, and environmental monitoring. This determines the need to develop highly sensitive display devices based on the achievements of modern science and technology, characterized by high selectivity, high speed, low cost, availability, and small size. Such requirements are met by biosensor systems—devices for reagent-free analysis of compounds that consist of a biologically sensitive element (receptor), a transducer, and a working solution. The diversity of biological material and methods for its immobilization on the surface or in the volume of the transducer and the use of nanotechnologies have led to the appearance of an avalanche-like number of different biosensors, which, depending on the type of biologically sensitive element, can be divided into three groups: enzyme, affinity, and cellular/tissue. Affinity biosensors are one of the rapidly developing areas in immunoassay, where the key point is to register the formation of an antigen–antibody complex. This review analyzes the latest work by Russian researchers concerning the production of molecules used in various immunoassay formats as well as new fundamental scientific data obtained as a result of their use.

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“…An acoustical slot mode sensor which also completes the test in the 10 min time window is presented in Ref. [ 23 ] where slot wave in an acoustic delay line was employed for the detection. An electrochemical immunoassay using magnetic beads and carbon black nanomaterial is implemented in Ref.…”

Section: Introductionmentioning

confidence: 99%