{"doi":"10.1073/pnas.2014739117","title":"Rapid isothermal amplification and portable detection system for SARS-CoV-2","abstract":"The COVID-19 pandemic provides an urgent example where a gap exists between availability of state-of-the-art diagnostics and current needs. As assay protocols and primer sequences become widely known, many laboratories perform diagnostic tests using methods such as RT-PCR or reverse transcription loop mediated isothermal amplification (RT-LAMP). Here, we report an RT-LAMP isothermal assay for the detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus and demonstrate the assay on clinical samples using a simple and accessible point-of-care (POC) instrument. We characterized the assay by dipping swabs into synthetic nasal fluid spiked with the virus, moving the swab to viral transport medium (VTM), and sampling a volume of the VTM to perform the RT-LAMP assay without an RNA extraction kit. The assay has a limit of detection (LOD) of 50 RNA copies per μL in the VTM solution within 30 min. We further demonstrate our assay by detecting SARS-CoV-2 viruses from 20 clinical samples. Finally, we demonstrate a portable and real-time POC device to detect SARS-CoV-2 from VTM samples using an additively manufactured three-dimensional cartridge and a smartphone-based reader. The POC system was tested using 10 clinical samples, and was able to detect SARS-CoV-2 from these clinical samples by distinguishing positive samples from negative samples after 30 min. The POC tests are in complete agreement with RT-PCR controls. This work demonstrates an alternative pathway for SARS-CoV-2 diagnostics that does not require conventional laboratory infrastructure, in settings where diagnosis is required at the point of sample collection.","journal":"Proceedings of the National Academy of Sciences","year":2020,"id":48430,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":422,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9572,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2020-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":228716,"name":"Ariana Mostafa","orcid":"0000-0002-1243-5381","position":1,"is_corresponding":false},{"id":228717,"name":"Jacob Berger","orcid":"0000-0002-5429-3940","position":2,"is_corresponding":false},{"id":228718,"name":"Mehmet Y. Aydin","orcid":"0000-0003-4546-1540","position":3,"is_corresponding":false},{"id":228719,"name":"Fu Sun","orcid":"0000-0001-7171-8210","position":4,"is_corresponding":false},{"id":229903,"name":"Sarah A. Stewart de Ramirez","orcid":null,"position":5,"is_corresponding":false},{"id":228720,"name":"Enrique Valera","orcid":"0000-0003-1359-6619","position":6,"is_corresponding":false},{"id":228721,"name":"Brian T. Cunningham","orcid":"0000-0002-9681-2104","position":7,"is_corresponding":false},{"id":228722,"name":"William P. King","orcid":"0000-0001-8606-1290","position":8,"is_corresponding":false},{"id":228723,"name":"Rashid Bashir","orcid":"0000-0002-7225-9180","position":9,"is_corresponding":false},{"id":228715,"name":"Anurup Ganguli","orcid":"0000-0002-6424-0084","position":0,"is_corresponding":true}],"reference_count":21,"raw_metadata":null,"created_at":"2026-07-18T20:34:12.647743Z","pmid":"32868442","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}