<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>146</volume><submitter>Voelker CR</submitter><funding>Defense Health Agency</funding><pubmed_abstract>We evaluated the sensitivity and specificity of the Biomeme Franklin™ three9 Real-Time PCR Thermocycler and Biomeme SARS-CoV-2 Go-Strips in the detection of SARS-CoV-2. The Biomeme Franklin™ three9 platform is a portable, battery-operated system that could be used in remote settings. We assessed performance of the Biomeme SARS-CoV-2 detection system at a wide range of viral concentrations, examined cross-reactivity of the SARS-CoV-2 Go-Strips against several near-neighbor respiratory pathogens, and evaluated agreement against the BioFire® Respiratory Panel 2.1 in four clinical sample types. Our data indicate the Biomeme Go-Strips can reliably detect SARS-CoV-2 at a concentration of 4.2 × 10&lt;sup>3&lt;/sup> copies/mL. No cross reactivity of the Go-Strips targets was detected against any of the tested near-neighbor respiratory pathogens. Cohen's kappa statistics ranged from 0.68 to 0.92 between results from the Biomeme SARS-CoV-2 Go-Strips and the BioFire® Respiratory Panel 2.1 in all the different sample types. Compared to the BioFire® Respiratory Panel 2.1, the Biomeme SARS-CoV-2 Go-Strips demonstrated statistically significantly lower sensitivity in 3 out of 5 sample types. Overall, our study demonstrates the Biomeme Franklin™ three9 used with the SARS-CoV-2 Go-Strips is an effective system for the detection of SARS-CoV-2 that could potentially be used in a remote or austere environment.</pubmed_abstract><journal>Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology</journal><pagination>105046</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC8613008</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Evaluating sensitivity and specificity of the Biomeme Franklin™ three9 real-time PCR device and SARS-CoV-2 go-strips assay using clinical samples.</pubmed_title><pmcid>PMC8613008</pmcid><pubmed_authors>Armstrong-Spenrath L</pubmed_authors><pubmed_authors>Asin SN</pubmed_authors><pubmed_authors>Cornell LE</pubmed_authors><pubmed_authors>Blackburn AN</pubmed_authors><pubmed_authors>Ochoa AR</pubmed_authors><pubmed_authors>Lott L</pubmed_authors><pubmed_authors>Voelker CR</pubmed_authors><pubmed_authors>Mahoney R</pubmed_authors><pubmed_authors>McDaniel JS</pubmed_authors></additional><is_claimable>false</is_claimable><name>Evaluating sensitivity and specificity of the Biomeme Franklin™ three9 real-time PCR device and SARS-CoV-2 go-strips assay using clinical samples.</name><description>We evaluated the sensitivity and specificity of the Biomeme Franklin™ three9 Real-Time PCR Thermocycler and Biomeme SARS-CoV-2 Go-Strips in the detection of SARS-CoV-2. The Biomeme Franklin™ three9 platform is a portable, battery-operated system that could be used in remote settings. We assessed performance of the Biomeme SARS-CoV-2 detection system at a wide range of viral concentrations, examined cross-reactivity of the SARS-CoV-2 Go-Strips against several near-neighbor respiratory pathogens, and evaluated agreement against the BioFire® Respiratory Panel 2.1 in four clinical sample types. Our data indicate the Biomeme Go-Strips can reliably detect SARS-CoV-2 at a concentration of 4.2 × 10&lt;sup>3&lt;/sup> copies/mL. No cross reactivity of the Go-Strips targets was detected against any of the tested near-neighbor respiratory pathogens. Cohen's kappa statistics ranged from 0.68 to 0.92 between results from the Biomeme SARS-CoV-2 Go-Strips and the BioFire® Respiratory Panel 2.1 in all the different sample types. Compared to the BioFire® Respiratory Panel 2.1, the Biomeme SARS-CoV-2 Go-Strips demonstrated statistically significantly lower sensitivity in 3 out of 5 sample types. Overall, our study demonstrates the Biomeme Franklin™ three9 used with the SARS-CoV-2 Go-Strips is an effective system for the detection of SARS-CoV-2 that could potentially be used in a remote or austere environment.</description><dates><release>2022-01-01T00:00:00Z</release><publication>2022 Jan</publication><modification>2024-11-08T23:06:08.567Z</modification><creation>2022-02-11T15:05:19.79Z</creation></dates><accession>S-EPMC8613008</accession><cross_references><pubmed>34863057</pubmed><doi>10.1016/j.jcv.2021.105046</doi></cross_references></HashMap>