ABSTRACT
The pandemic of 2019 novel coronavirus (2019-nCoV) infection since 2020 caused Coronavirus Disease 2019 (COVID-19) leads the serious threaten to global public health. It is urgent to diagnose COVID-19, guide epidemiological measures, control the infection rates, research/develop the antiviral treatment and promote the vaccine research. The application of nano-material based biosensors (the nano-biosensors) has achieved the high-performance detection of a variety of biomarkers due to their small device size, label free detection, high sensitivity, good specificity, short detection time, and has been considered as great potential to become a point-of-care testing tool for detecting 2019-nCoV. Therefore, by summarizing the working principle and classification of nano-biosensors, and focusing on the research progress of nano-biosensors in the detection of 2019-nCoV reported in the recent years, our review provides the challenges and future development prospects of the nano-biosensor in clinical laboratory.Copyright © 2022 Chin J Lab Med. All rights reserved.
ABSTRACT
The pandemic of 2019 novel coronavirus (2019-nCoV) infection since 2020 caused Coronavirus Disease 2019 (COVID-19) leads the serious threaten to global public health. It is urgent to diagnose COVID-19, guide epidemiological measures, control the infection rates, research/develop the antiviral treatment and promote the vaccine research. The application of nano-material based biosensors (the nano-biosensors) has achieved the high-performance detection of a variety of biomarkers due to their small device size, label free detection, high sensitivity, good specificity, short detection time, and has been considered as great potential to become a point-of-care testing tool for detecting 2019-nCoV. Therefore, by summarizing the working principle and classification of nano-biosensors, and focusing on the research progress of nano-biosensors in the detection of 2019-nCoV reported in the recent years, our review provides the challenges and future development prospects of the nano-biosensor in clinical laboratory.
ABSTRACT
Here, we introduce a power-free foldable poly(methyl methacrylate) (PMMA) microdevice fully integrating DNA extraction, amplification, and visual detection, realized in novel dual modes – colorimetric and aggregate formation – using 4-Aminoantipyrine (4-AP) for monitoring pathogens. The microdevice contains two parts: reaction and detection zones. A sealing film was utilized to connect the two zones and make the device foldable. The FTA card was deposited in the reaction zone for DNA extraction, followed by loop-mediated isothermal amplification (LAMP) at 65 °C for 45 min. When the detection zone is folded toward the reaction zone, paper discs modified with 4-AP placed in the detection zone are delivered to the reaction zone. Specifically, in the presence of LAMP amplicons, 4-AP is oxidized into antipyrine red or generates aggregates by interacting with copper sulfate, forming copper hybrid nanostructure (Cu-hNs). In the absence of LAMP amplicons, 4-AP is not oxidized and maintains yellow color or fails to form aggregates. Furthermore, we introduced the ethidium homodimer-1 (EthD-1) to identify viable bacteria. EthD-1 penetrated the compromised membranes of nonviable cells and prevented further DNA amplification by intercalating with the DNA. In this way, only samples containing viable cells displayed color change or formed aggregates upon reaction with 4-AP. Using this method, SARS-CoV-2 RNA and Enterococcus faecium were identified by naked eye, with the limit of detection of 103 copies/μL and 102 CFU/mL, respectively, within 60 min. The introduced microdevice can be used for rapidly monitoring viable pathogens and controlling outbreaks of infectious disease in resource-limited settings. © 2022 Elsevier B.V.
ABSTRACT
The motive of this work is to find the numerical simulations of a dynamical HIV model along with the effects of prevention, i.e., HIPV nonlinear mathematical system. An advance computational framework using the procedures of Meyer neural networks (MNNs) together with the compotnecies of local/global search approaches is presented to solve the HIPV nonlinear mathematical system. The global and local operators will be used as genetic algorithm (GA) and interor-point algorithm (IPA), i.e., GAIPA. The dynamicis of HIPV mathematical system is classified into four categories, ‘T-cells attentiveness’, ‘Infected from disease, ‘Prevention actions’ and ‘Virus free particles. An error function is constructed using the differential system and its boundary conditions. The optimization of this function is presented through the hybridization computing paradigms of MWNNs-GAIPA. The correctness of the designed MWNNs-GAIPA is obtained by using the comparion of the obtained and reference solutions. The performance of this scheme is also acheived through the overlapping of the results with the accuracy of order 5 t 7 in the plots of absolute error. The reliability of the proposed MWNNs-GAIPA solver is observed by providing the statistical analysis by using different operators.