| Literature DB >> 30348381 |
Qing Cai1, Maarten Fauvart1, Rodrigo Sergio Wiederkehr1, Benjamin Jones1, Piet Cools2, Peter Goos3, Mario Vaneechoutte2, Tim Stakenborg4.
Abstract
PCR enables sensitive and specific detection of infectious disease agents, but application in point-of-care diagnostic testing remains scarce. A compact tool that runs PCR assays in less than a few minutes and that relies on mass-producible, disposable reactors could revolutionize while-you-wait molecular testing. We here exploit well-established semiconductor manufacturing processes to produce silicon ultra-fast quantitative PCR (UF-qPCR) chips that can run PCR protocols with limited assay optimization. A total of 110 clinical samples were analyzed for the detection of group B streptococci using both a validated benchtop and an on-chip qPCR assay. For the on-chip assay, the total reaction time was reduced after optimization to less than 5 min. The standard curve, spanning a concentration range of 5 log units, yielded a PCR efficiency of 94%. The sensitivity obtained was 96% (96/100; CI: 90-98%) and the specificity 70% (7/10; CI: 40-90%). We show that if melting analyses would be integrated, the obtained sensitivity would drop slightly to 93% (CI: 86-96%), while the specificity would increase to 100% (CI: 72% - 100%). In comparison to the benchtop reference qPCR assay performed on a LightCycler©96, the on-chip assay demonstrated a highly significant qualitative (Spearman's rank correlation) and quantitative (linear regression) correlation. Using a mass-producible qPCR chip and limited assay optimization, we were able to develop a validated qPCR protocol that can be carried out in less than five minutes. The analytical performance of the microchip-based UF-qPCR system was shown to match that of a benchtop assay. This is the first report to provide UF-qPCR validation using clinical samples. We demonstrate that qPCR-based while-you-wait testing is feasible without jeopardizing assay performance.Entities:
Keywords: Clinical samples; On-chip; Silicon; Streptococcus agalactiae; Ultra-fast; qPCR
Mesh:
Substances:
Year: 2018 PMID: 30348381 DOI: 10.1016/j.talanta.2018.09.041
Source DB: PubMed Journal: Talanta ISSN: 0039-9140 Impact factor: 6.057