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10.1021/acsami.0c22589

http://scihub22266oqcxt.onion/10.1021/acsami.0c22589
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33596036!ä!33596036

suck abstract from ncbi


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pmid33596036      ACS+Appl+Mater+Interfaces 2021 ; 13 (8): 10321-10327
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  • Rapid Detection of SARS-CoV-2 Antigens Using High-Purity Semiconducting Single-Walled Carbon Nanotube-Based Field-Effect Transistors #MMPMID33596036
  • Shao W; Shurin MR; Wheeler SE; He X; Star A
  • ACS Appl Mater Interfaces 2021[Mar]; 13 (8): 10321-10327 PMID33596036show ga
  • Early diagnosis of SARS-CoV-2 infection is critical for facilitating proper containment procedures, and a rapid, sensitive antigen assay is a critical step in curbing the pandemic. In this work, we report the use of a high-purity semiconducting (sc) single-walled carbon nanotube (SWCNT)-based field-effect transistor (FET) decorated with specific binding chemistry to assess the presence of SARS-CoV-2 antigens in clinical nasopharyngeal samples. Our SWCNT FET sensors, with functionalization of the anti-SARS-CoV-2 spike protein antibody (SAb) and anti-nucleocapsid protein antibody, detected the S antigen (SAg) and N antigen (NAg), reaching a limit of detection of 0.55 fg/mL for SAg and 0.016 fg/mL for NAg in calibration samples. SAb-functionalized FET sensors also exhibited good sensing performance in discriminating positive and negative clinical samples, indicating a proof of principle for use as a rapid COVID-19 antigen diagnostic tool with high analytical sensitivity and specificity at low cost.
  • |*Biosensing Techniques[MESH]
  • |*Semiconductors[MESH]
  • |*Transistors, Electronic[MESH]
  • |Antigens, Viral/*analysis[MESH]
  • |COVID-19 Testing/*instrumentation/methods[MESH]
  • |Calibration[MESH]
  • |Electrodes[MESH]
  • |Gold[MESH]
  • |Humans[MESH]
  • |Limit of Detection[MESH]
  • |Materials Testing[MESH]
  • |Microscopy, Atomic Force[MESH]
  • |Microscopy, Fluorescence[MESH]
  • |Nanotechnology[MESH]
  • |Nanotubes, Carbon/*chemistry[MESH]
  • |SARS-CoV-2[MESH]
  • |Sensitivity and Specificity[MESH]
  • |Spectrophotometry, Ultraviolet[MESH]
  • |Spectroscopy, Near-Infrared[MESH]
  • |Spectrum Analysis, Raman[MESH]


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