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COVID-19 diagnosis on the basis of nanobiosensors' prompt interactivity: A holistic review.
Mohammadi, Mohammad; Asvar, Zahra; Solhjoo, Seyyed Pooria; Sarikhanikhorrami, Mohammad; Abadi, Hassan Ghader; Ghazizadeh, Shirin; Mahmoodi, Hassan; Habibolah, Niloofar Karbalaee; Moradi, Omar; Kesharwani, Prashant; Amani, Ali Mohammad; Sahebkar, Amirhossein.
Afiliación
  • Mohammadi M; Department of Medical Nanotechnology, School of Advanced Medical Sciences and Technologies, Shiraz University of Medical Sciences, Shiraz, Iran.
  • Asvar Z; Department of Medical Nanotechnology, School of Advanced Medical Sciences and Technologies, Shiraz University of Medical Sciences, Shiraz, Iran.
  • Solhjoo SP; Department of Medical Nanotechnology, School of Advanced Medical Sciences and Technologies, Shiraz University of Medical Sciences, Shiraz, Iran.
  • Sarikhanikhorrami M; Department of Medical Laboratory Sciences, School of Paramedical Sciences, Shiraz University of Medical Sciences, Shiraz, Iran.
  • Abadi HG; Department of Biological Sciences, Faculty of Science, Islamic Azad University of Kazerun, Kazerun, Iran.
  • Ghazizadeh S; Department of Biological Sciences, Faculty of Science, Islamic Azad University of Jahrom, Jahrom, Iran.
  • Mahmoodi H; Department of Biochemistry, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.
  • Habibolah NK; Department of Genetics, Reproductive Biomedicine Research Center, Royan Institute for Reproductive Biomedicine, ACECR, Tehran, Iran.
  • Moradi O; Department of Electrical Engineering, Sanandaj Branch, Islamic Azad University, Sanandaj, Iran.
  • Kesharwani P; Department of Pharmaceutics, School of Pharmaceutical Education and Research, Jamia Hamdard, New Delhi 110062, India.
  • Amani AM; Department of Medical Nanotechnology, School of Advanced Medical Sciences and Technologies, Shiraz University of Medical Sciences, Shiraz, Iran. Electronic address: amani_a@sums.ac.ir.
  • Sahebkar A; Center for Global Health Research, Saveetha Medical College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, India; Biotechnology Research Center, Pharmaceutical Technology Institute, Mashhad University of Medical Sciences, Mashhad, Iran; Applied Bio
Pathol Res Pract ; 262: 155565, 2024 Aug 29.
Article en En | MEDLINE | ID: mdl-39226801
ABSTRACT
The fast spread and severe consequences of novel coronavirus disease 2019 (COVID-19) have once again underscored the critical necessity of early detection of viral infections. Several serology-based techniques, including as point-of-care assays and high-throughput enzyme immunoassays that support the diagnosis of COVID-19 are utilized in the detection and identification of coronaviruses. A rapid, precise, simple, affordable, and adaptable diagnostic tool is required for controlling COVID-19 as well as for outbreak management, since the calculation and monitoring of viral loads are crucial for predicting the infection stage and recovery time. Nowadays, the most popular method for diagnosing COVID-19 is reverse transcription polymerase chain reaction (RT-PCR) testing, and chest computed tomography (CT) scans are also used to determine the disease's phases. This is all because of the fact that RT-PCR method caries with itself a number of downsides comprising of being immovable, expensive, and laborious. RT-PCR has not well proven to be capable of detection on the very early infection stages. Nanomaterial-based diagnostics, together with traditional clinical procedures, have a lot of promise against COVID-19. It is worthy of attention that nanotechnology has the mainstay capacity for purposes of developing even more modern stratagems fighting COVID-19 by means of focusing on state-of-the-art diagnostics. What we have centered on in this review, is bringing out even more efficient detection techniques whereby nanobiosensors are employed so that we might obstruct any further development and spreading of SARS-CoV-2.
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Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: Pathol Res Pract Año: 2024 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: Pathol Res Pract Año: 2024 Tipo del documento: Article