SARS-CoV-2 viral RNA detection using the novel CoVradar device associated with the CoVreader smartphone app
Metadata
Show full item recordAuthor
Martín-Sierra, Carmen; Escobedo, Pablo; Ruiz García, Isidoro; Erenas, Miguel M.; Sánchez Martín, Rosario María; Capitán Vallvey, Luis Fermín; Palma López, Alberto José; Díaz Mochón, Juan JoséEditorial
Elsevier
Materia
Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Coronavirus disease 19 (COVID-19) Colourimetric assay Dynamic chemistry labelling (DCL) Image processing system (IPS) COVID-19
Date
2023-06Referencia bibliográfica
C. Martín-Sierra et al. SARS-CoV-2 viral RNA detection using the novel CoVradar device associated with the CoVreader smartphone app. Biosensors and Bioelectronics 230 (2023) 115268. [https://doi.org/10.1016/j.bios.2023.115268]
Sponsorship
FEDER/Junta de Andalucia-Consejeria de Economia y Conocimiento CV20-77741, A-FQM-760-UGR20, PID 2019-110987RB-I00, PID 2019-103938RB-I00; Spanish MCIN/AEI P18-RT-2961, P18-TP-4160; FEDER/Junta de Andalucia-Consejeria de Salud y Familias PIP-0232-2021; European Commission; MCIN/AEI PTQ 2020-011388, IJC 2020-043307-I; European Union NextGenerationEU/PRTR PTQ 2020-011388, IJC 2020-043307-IAbstract
The COVID-19 pandemic has highlighted the need for innovative approaches to its diagnosis. Here we present CoVradar, a novel and simple colorimetric method that combines nucleic acid analysis with dynamic chemical labeling (DCL) technology and the Spin-Tube device to detect SARS-CoV-2 RNA in saliva samples. The assay includes a fragmentation step to increase the number of RNA templates for analysis, using abasic peptide nucleic acid probes (DGL probes) immobilized to nylon membranes in a specific dot pattern to capture RNA fragments. Duplexes are formed by labeling complementary RNA fragments with biotinylated SMART bases, which act as templates for DCL. Signals are generated by recognizing biotin with streptavidin alkaline phosphatase and incubating with a chromogenic substrate to produce a blue precipitate. CoVradar results are analysed by CoVreader, a smartphone-based image processing system that can display and interpret the blotch pattern. CoVradar and CoVreader provide a unique molecular assay capable of detecting SARS-CoV-2 viral RNA without the need for extraction, preamplification, or pre-labeling steps, offering advantages in terms of time (similar to 3 h/test), cost (similar to epsilon 1/test manufacturing cost) and simplicity (does not require large equipment). This solution is also promising for developing assays for other infectious diseases.