Quantum Dots-Based Lateral Flow Test Strip for Glutathione Detection

2020 ◽  
pp. 249-257
Author(s):  
Zhaohui Li ◽  
Juanzu Liu ◽  
Lin Zhang ◽  
Jianjun Li
Keyword(s):  
Quantum Dots ◽  
Test Strip ◽  
Lateral Flow ◽  
Flow Test ◽  
Lateral Flow Test

A portable fluorescence biosensor for rapid and sensitive glutathione detection by using quantum dots-based lateral flow test strip

2018 ◽  
Vol 262 ◽  
pp. 486-492 ◽  
Author(s):  
Juanzu Liu ◽  
Danyang Ji ◽  
Hongmin Meng ◽  
Lin Zhang ◽  
Junyan Wang ◽  
...  
Keyword(s):  
Quantum Dots ◽  
Test Strip ◽  
Lateral Flow ◽  
Flow Test ◽  
Lateral Flow Test ◽  
Fluorescence Biosensor

Rapid and Sensitive Detection of Protein Biomarker Using a Portable Fluorescence Biosensor Based on Quantum Dots and a Lateral Flow Test Strip

2010 ◽  
Vol 82 (16) ◽  
pp. 7008-7014 ◽  
Author(s):  
Zhaohui Li ◽  
Ying Wang ◽  
Jun Wang ◽  
Zhiwen Tang ◽  
Joel G. Pounds ◽  
...  
Keyword(s):  
Quantum Dots ◽  
Test Strip ◽  
Lateral Flow ◽  
Sensitive Detection ◽  
Protein Biomarker ◽  
Flow Test ◽  
Lateral Flow Test ◽  
Fluorescence Biosensor

A new immunoassay of serum antibodies against Peste des petits ruminants virus using quantum dots and a lateral-flow test strip

2016 ◽  
Vol 409 (1) ◽  
pp. 133-141 ◽  
Author(s):  
Si Cheng ◽  
Jie Sun ◽  
Junxing Yang ◽  
Jianqiang Lv ◽  
Feng Wu ◽  
...  
Keyword(s):  
Quantum Dots ◽  
Test Strip ◽  
Lateral Flow ◽  
Peste Des Petits Ruminants ◽  
Serum Antibodies ◽  
Flow Test ◽  
Lateral Flow Test

Rapid and visual detection of benzothiostrobin residue in strawberry using quantum dot-based lateral flow test strip

2019 ◽  
Vol 283 ◽  
pp. 222-229 ◽  
Author(s):  
JiaKai Wu ◽  
JingWei Ma ◽  
Hong Wang ◽  
DongMei Qin ◽  
Li An ◽  
...  
Keyword(s):  
Quantum Dot ◽  
Visual Detection ◽  
Test Strip ◽  
Lateral Flow ◽  
Flow Test ◽  
Lateral Flow Test

scholarly journals 1775. A Community-wide Study to Evaluate the Accuracy of Self-testing for Influenza: Works in Progress

2019 ◽  
Vol 6 (Supplement_2) ◽  
pp. S654-S654
Author(s):  
Matthew Thompson ◽  
Monica L Zigman Suchsland ◽  
Victoria Lyon ◽  
Enos Kline ◽  
ShiChu Huang ◽  
...  
Keyword(s):  
United States ◽  
Nasal Swab ◽  
Rapid Test ◽  
Test Strip ◽  
Lateral Flow ◽  
Reference Standard ◽  
Self Testing ◽  
Flow Test ◽  
Lateral Flow Test ◽  
At Home

Abstract Background Seasonal influenza (flu) occurs annually, causing disease with substantial morbidity and mortality. Currently, flu is suspected from clinical features, but requires a laboratory test to confirm infection. No influenza tests in the United States are approved for use outside of clinical settings. We aimed to determine the accuracy of influenza self-testing using an at-home, app-guided, lateral flow assay compared with a molecular reference standard conducted at a laboratory among adults self-reporting influenza-like illness (ILI). Methods This is an observational study of individuals with self-reported ILI throughout the continental 48 United States recruited from the Flu Near You platform, online marketing, and clinics in the Seattle area. Recruitment took place from March 4 to April 26, 2019. Participants were directed to an iPhone App that determined eligibility, consent, and responses to symptom questions and risk factors. Individuals were mailed a commercially available CLIA-waived influenza lateral flow test to conduct at home, guided by the app, and returned the used test along with a second nasal swab collected in viral transport media to the research team. Influenza testing was performed by RT–PCR on the second nasal swab, as well as the residual fluid from the RDT. Accuracy of home test result (read by the participant), as well as image capture of the lateral flow test strip, were compared with the lab-based reference standard. Results To date, 1127 at-home flu tests were mailed to participants and 711 (63.1%) samples returned to the lab. There were 17 flu-positive results from the rapid diagnostic test for a flu positivity rate of 2.4%. Testing using the reference standard is currently in progress. We will share diagnostic accuracy results once testing of the reference standard is completed. Of the kits returned, 353 (49.7%)had an error recorded, which included errors in return packaging, reference standard, rapid test tube sample, or rapid test strip errors. Conclusion Overall, findings from this study will determine the accuracy of an at-home rapid diagnostic test, and inform more widely research design for evaluating smartphone-enhanced home tests for pathogens. Many samples returned to the lab had a recorded error, suggesting at-home testing requires additional feasibility testing and refinement of the current methods used. Disclosures All authors: No reported disclosures.

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