Related Experiment Video
Updated: Apr 9, 2026

Rapid, Safe, and Simple Manual Bedside Nucleic Acid Extraction for the Detection of Virus in Whole Blood Samples
Published on: June 30, 2018
An automated and portable platform for rapid cell-free DNA isolation and its application in microbial DNA metagenomic
Linda Marriott1, Ana Martinez-Lopez1,2, Antonio Liga1
1School of Engineering, Heriot-Watt University, UK. m.kersaudy-kerhoas@hw.ac.uk.
Abstract:
The prompt identification of pathogens in human circulation in a clinically deployable format remains an unmet clinical need. The established test for infection diagnostics remains blood culture, which typically takes 2-4 days and is positive in less than 15% of cases, with many prevalent pathogens difficult or impossible to culture. While microbial cfDNA in blood could facilitate the diagnosis of sepsis, febrile and infectious conditions, sample preparation for cell-free DNA (cfDNA) analysis in decentralised settings presents challenges due to its complexity and the low concentration and fragmented nature of cfDNA in blood plasma. We developed a portable and automated platform and a consumable (CNASafe) for cfDNA isolation from human plasma samples. The platform-device performance was evaluated by comparing relative cfDNA yield against a reference (QIAGEN QIAamp Circulating Nucleic Acid Kit). cfDNA eluates from ten non-cultured blood samples from hospital patients were sequenced on a nanopore sequencer, and results compared to blood cultures. Extraction of cfDNA using the CNASafe device was completed in 40 minutes, compared to the 1 hour 15 min reference protocol. The device achieved an average relative cfDNA recovery of 100.5% over 333 unique extractions encompassing all parameter variations, demonstrating a performance equivalent to the reference kit. From the patient samples, a sufficient quantity of microbial cfDNA was extracted to either identify pathogens missed by blood cultures or confirm negative cultures. The CNASafe platform and real-time nanopore sequencing offer a promising solution for the rapid deployment of metagenomic diagnostics, enabling pathogen identification within a few hours in decentralised clinical environments.

