2022
DOI: 10.1016/j.dental.2022.03.005
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Verification of lateral flow antigen tests for SARS-CoV-2 by qPCR directly from the test device

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Cited by 5 publications
(2 citation statements)
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“…Based on this analysis, our 95% LoD threshold corresponds to 6.6 log10 RNA copies/mL. Studies on the analytical performance of RATs are diverse due to differences in study design and methods, sample size, and type of RAT evaluated, which demonstrated variable performance, and sometimes with reports of contradicting results for similar assays, making comparisons difficult [ 74 , 75 , 76 ]. Furthermore, variability in viral quantification, such as TCID 50 , plaque-forming units (pfu), or RT-PCR-based viral RNA copies, introduce bias to make comparisons [ 77 ].…”
Section: Resultsmentioning
confidence: 99%
“…Based on this analysis, our 95% LoD threshold corresponds to 6.6 log10 RNA copies/mL. Studies on the analytical performance of RATs are diverse due to differences in study design and methods, sample size, and type of RAT evaluated, which demonstrated variable performance, and sometimes with reports of contradicting results for similar assays, making comparisons difficult [ 74 , 75 , 76 ]. Furthermore, variability in viral quantification, such as TCID 50 , plaque-forming units (pfu), or RT-PCR-based viral RNA copies, introduce bias to make comparisons [ 77 ].…”
Section: Resultsmentioning
confidence: 99%
“…Rapid and robust detection plays a vital role in precise diagnosis and effective disease control. Among these, the lateral flow immunoassay (LFIA) for rapid antigen detection can be effectively performed in the laboratory and in point-of-care testing (POCT) due to its advantages of rapidity, simplicity, accessibility, and readability. , However, the gold nanoparticle (GNP)-based conventional LFIA suffers from low sensitivity, false positives, and false negatives, which may be suitable for initial screening of the population. To address these challenges, various signal enhancement strategies have been investigated to improve the sensing performance. Emerging nanozymes attract great interest due to their high enzyme activities, good biocompatibility, and chemical stability, which have been widely used in biosensing. Nanozymes feature the merits: (1) their own colors having colorimetric signals and (2) providing signal enhancement through catalytic activity, which have good prospects for possible signal tags in the LFIA. To date, peroxidase-like nanozymes have been widely used in the LFIA, which may encounter issues such as longer color development time, weaker signal intensity, and inconvenient surface modifications compared to natural enzymes. On the other hand, molecular recognition elements with high specificity and good affinity are another key factor in developing the LFIA.…”
Section: Introductionmentioning
confidence: 99%