| Autor: |
Zhou Y; Department of Electrical Engineering and Electronics, University of Liverpool, Brownlow Hill, Liverpool, UK. s.maher@liverpool.ac.uk., Sham TT; Department of Electrical Engineering and Electronics, University of Liverpool, Brownlow Hill, Liverpool, UK. s.maher@liverpool.ac.uk., Boisdon C; Department of Electrical Engineering and Electronics, University of Liverpool, Brownlow Hill, Liverpool, UK. s.maher@liverpool.ac.uk., Smith BL; Department of Electrical Engineering and Electronics, University of Liverpool, Brownlow Hill, Liverpool, UK. s.maher@liverpool.ac.uk., Blair JC; Department of Endocrinology, Alder Hey Children's Hospital, Liverpool, UK., Hawcutt DB; NIHR Clinical Research Facility, Alder Hey Children's Hospital, Liverpool, UK.; Department of Women's and Children's Health, University of Liverpool, UK., Maher S; Department of Electrical Engineering and Electronics, University of Liverpool, Brownlow Hill, Liverpool, UK. s.maher@liverpool.ac.uk. |
| Abstrakt: |
Paracetamol overdose is a leading cause of acute liver failure that can prove fatal. Establishing paracetamol concentration accurately and quickly is critical. Current detection methods are invasive, time-consuming and/or expensive. Non-invasive, rapid and cost-effective techniques are urgently required. To address this challenge, a novel approach, called Paper-Arrow Mass Spectrometry (PA-MS) has been developed. This technique combines sample collection, extraction, enrichment, separation and ionisation onto a single paper strip, and the entire analysis process, from sample to result, can be carried out in less than 10 min requiring only 2 μL of raw human saliva. PA-MS achieved a LOQ of 185 ng mL -1 , mean recovery of 107 ± 7%, mean accuracy of 11 ± 8% and precision ≤5% using four concentrations, and had excellent linearity ( r 2 = 0.9988) in the range of 0.2-200 μg mL -1 covering the treatment concentration range, surpassing the best-in-class methods currently available for paracetamol analysis. Furthermore, from a panel of human saliva samples, inter-individual variability was found to be <10% using this approach. This technique represents a promising tool for rapid and accurate emergency diagnosis. |
