Use my Search Websuite to scan PubMed, PMCentral, Journal Hosts and Journal Archives, FullText.
Kick-your-searchterm to multiple Engines kick-your-query now !>
A dictionary by aggregated review articles of nephrology, medicine and the life sciences
Your one-stop-run pathway from word to the immediate pdf of peer-reviewed on-topic knowledge.

suck abstract from ncbi


10.1016/j.bios.2020.112572

http://scihub22266oqcxt.onion/10.1016/j.bios.2020.112572
suck pdf from google scholar
32916610!7468592!32916610
unlimited free pdf from europmc32916610    free
PDF from PMC    free
html from PMC    free

suck abstract from ncbi


Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534

Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534

Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534

Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534

Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534

Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
pmid32916610      Biosens+Bioelectron 2020 ; 169 (ä): 112572
Nephropedia Template TP

gab.com Text

Twit Text FOAVip

Twit Text #

English Wikipedia


  • Rapid and quantitative detection of SARS-CoV-2 specific IgG for convalescent serum evaluation #MMPMID32916610
  • Tan X; Krel M; Dolgov E; Park S; Li X; Wu W; Sun YL; Zhang J; Khaing Oo MK; Perlin DS; Fan X
  • Biosens Bioelectron 2020[Dec]; 169 (ä): 112572 PMID32916610show ga
  • Convalescent serum with a high abundance of neutralization IgG is a promising therapeutic agent for rescuing COVID-19 patients in the critical stage. Knowing the concentration of SARS-CoV-2 S1-specific IgG is crucial in selecting appropriate convalescent serum donors. Here, we present a portable microfluidic ELISA technology for rapid (15 min), quantitative, and sensitive detection of anti-SARS-CoV-2 S1 IgG in human serum with only 8 muL sample volume. We first identified a humanized monoclonal IgG that has a high binding affinity and a relatively high specificity towards SARS-CoV-2 S1 protein, which can subsequently serve as the calibration standard of anti-SARS-CoV-2 S1 IgG in serological analyses. We then measured the abundance of anti-SARS-CoV-2 S1 IgG in 16 convalescent COVID-19 patients. Due to the availability of the calibration standard and the large dynamic range of our assay, we were able to identify "qualified donors" for convalescent serum therapy with only one fixed dilution factor (200 x). Finally, we demonstrated that our technology can sensitively detect SARS-CoV-2 antigens (S1 and N proteins) with pg/mL level sensitivities in 40 min. Overall, our technology can greatly facilitate rapid, sensitive, and quantitative analysis of COVID-19 related markers for therapeutic, diagnostic, epidemiologic, and prognostic purposes.
  • |Adolescent[MESH]
  • |Adult[MESH]
  • |Antibodies, Viral/*blood/immunology[MESH]
  • |Antigens, Viral/blood/immunology[MESH]
  • |Betacoronavirus/*immunology[MESH]
  • |Biosensing Techniques/economics/instrumentation[MESH]
  • |COVID-19[MESH]
  • |COVID-19 Serotherapy[MESH]
  • |Coronavirus Infections/therapy/*virology[MESH]
  • |Enzyme-Linked Immunosorbent Assay/economics/*instrumentation[MESH]
  • |Equipment Design[MESH]
  • |Humans[MESH]
  • |Immunization, Passive[MESH]
  • |Immunoglobulin G/*blood/immunology[MESH]
  • |Limit of Detection[MESH]
  • |Luminescent Measurements/economics/instrumentation[MESH]
  • |Microfluidic Analytical Techniques/economics/*instrumentation[MESH]
  • |Middle Aged[MESH]
  • |Pandemics[MESH]
  • |Pneumonia, Viral/therapy/*virology[MESH]
  • |SARS-CoV-2[MESH]
  • |Time Factors[MESH]


  • DeepDyve
  • Pubget Overpricing
  • suck abstract from ncbi

    Linkout box