Visualized Lateral Flow Assay for Dual Viral RNA Fragment Detection

Analytical Chemistry, Journal Year: 2023, Volume and Issue: 95(30), P. 11187 - 11192

Published: July 18, 2023

In this technical note, we report an easy-to-produce, reverse-transcription-free, and protein-enzyme-free lateral flow assay for detection of viral RNA fragments by taking SARS-CoV-2 ORF1ab N as target models. Catalytic hairpin assembly is utilized dual fragment orthogonal reaction to generate copious amounts opened duplexes, which bridge DNA-modified gold nanoparticles capture strands on the strip induce coloration. The are simultaneously visualized during one time sample flow, single-base-mismatched nontarget sequences can be differentiated. test flexibly adapted detect evolutional variants such Delta Omicron. It also shows potential in visually detecting long-sequence virus simulants achieves a sensitivity comparable that RT-qPCR incorporation with upstream amplification. should offer convenient reliable technique nucleic acid detection.

Language: Английский

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Visual Detection of COVID-19 from Materials Aspect

Advanced Fiber Materials, Journal Year: 2022, Volume and Issue: 4(6), P. 1304 - 1333

Published: Aug. 8, 2022

Language: Английский

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Mortality Prediction of COVID-19 Patients Using Radiomic and Neural Network Features Extracted from a Wide Chest X-ray Sample Size: A Robust Approach for Different Medical Imbalanced Scenarios

Applied Sciences, Journal Year: 2022, Volume and Issue: 12(8), P. 3903 - 3903

Published: April 12, 2022

Aim: The aim of this study was to develop robust prognostic models for mortality prediction COVID-19 patients, applicable different sets real scenarios, using radiomic and neural network features extracted from chest X-rays (CXRs) with a certified commercially available software. Methods: 1816 patients 5 hospitals in the Province Reggio Emilia were included study. Overall, 201 16 each patient’s radiography. initial dataset balanced train classifiers same number dead survived randomly selected. pipeline had three main parts: balancing procedure; three-step feature selection; through machine learning (ML) classification models: AdaBoost (ADA), Quadratic Discriminant Analysis (QDA) Random Forest (RF). Five evaluation metrics computed on test samples. performance death validated both (Case 1) an imbalanced 2). Results: accuracy (ACC), area under ROC-curve (AUC) sensitivity (SENS) best classifier were, respectively, 0.72 ± 0.01, 0.82 0.02 0.84 0.04 Case 1 0.70 0.04, 0.79 0.03 0.76 0.06 2. These results show that is set scenarios. Conclusions: Our large varied made it possible ML algorithms predict CXRs.

Language: Английский

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Colorimetric detection of viral RNA fragments based on an integrated logic-operated three-dimensional DNA walker

Biosensors and Bioelectronics, Journal Year: 2022, Volume and Issue: 217, P. 114714 - 114714

Published: Sept. 13, 2022

Language: Английский

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Experimental design for the development of a multiplex antigen lateral flow immunoassay detecting the Southern African Territory (SAT) serotypes of foot-and-mouth disease virus

Microchimica Acta, Journal Year: 2023, Volume and Issue: 191(1)

Published: Dec. 6, 2023

Language: Английский

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Adaptive group testing strategy for infectious diseases using social contact graph partitions

Scientific Reports, Journal Year: 2023, Volume and Issue: 13(1)

Published: July 26, 2023

Mass testing is essential for identifying infected individuals during an epidemic and allowing healthy to return normal social activities. However, capacity often insufficient meet global health needs, especially newly emerging epidemics. Dorfman's method, a classic group technique, helps reduce the number of tests required by pooling samples multiple into single sample analysis. method does not consider time dynamics or limits on involved in infection detection, it assumes that are independently, ignoring community correlations. To address these limitations, we present adaptive (AGT) strategy based graph partitioning, which divides physical contact network subgraphs (groups individuals) assigns priorities characteristics each subgraph. Our AGT aims maximize detected minimize required. After round (perhaps daily basis), priority increased neighboring known individuals. We also enhanced infectious disease transmission model simulates dynamic spread pathogen evaluate our using simulation results. When applied 13 networks, demonstrates significant performance improvements compared its variations. requires fewer overall, reduces spread, retains robustness under changes size, capacity, other parameters. Testing plays crucial role containing mitigating pandemics helping prevent further families communities. By communities, can have implications public health, providing guidance policymakers trying balance economic activity with need manage infection.

Language: Английский

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UbiNAAT: a multiplexed point-of-care nucleic acid diagnostic platform for rapid at-home pathogen detection

Lab on a Chip, Journal Year: 2023, Volume and Issue: 24(3), P. 492 - 504

Published: Dec. 12, 2023

The COVID-19 pandemic increased demands for respiratory disease testing to facilitate treatment and limit transmission, demonstrating in the process that most existing test options were too complex expensive perform point-of-care or home scenarios. Lab-based molecular techniques can detect viral RNA illnesses but are require trained personnel, while affordable antigen-based tests lack sensitivity early detection newly infected asymptomatic individuals. few deployed prohibitively expensive. Here, we demonstrate a point-of-care, paper-based rapid analysis device simultaneously detects multiple RNAs; it is demonstrated on two common viruses (COVID-19 influenza A) spiked onto commercial nasal swab. automated requires no sample preparation by user after insertion of swab, minimizing operation steps. We incorporated lyophilized amplification reagents immobilized porous matrix, novel thermally actuated valve multiplexed fluidic control, printed circuit board performs on-device lysis within cell-phone-sized disposable device. Reverse transcription loop-mediated isothermal (RT-LAMP) products visualized

Language: Английский

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Dynamic changes in the circulation of respiratory pathogens in children during and after the containment of the 2019 coronavirus disease pandemic in Kunming, China

European Journal of Clinical Microbiology & Infectious Diseases, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 18, 2024

We aimed to determine the changes in frequency of respiratory pathogens and severe acute syndrome coronavirus 2 (SARS-CoV-2) during containment 2019 disease pandemic elucidate epidemiological interference that may have occurred after lifting measures.

Language: Английский

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Colorimetric detection of RNA fragments based on associated toehold-mediated reaction and gold nanoparticles

Chemical Communications, Journal Year: 2022, Volume and Issue: 58(62), P. 8666 - 8669

Published: Jan. 1, 2022

A reverse transcription-free, label-free and enzyme-free colorimetric method is developed for RNA nucleic acid fragment detection. The simultaneously responds to dual viral gene fragments distinguishes single nucleotide polymorphisms.

Language: Английский

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Microbiological tests and laboratory tests: the value of point-of-care testing

European Respiratory Society eBooks, Journal Year: 2023, Volume and Issue: unknown

Published: Aug. 25, 2023

Language: Английский

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