Low-speed centrifugation based isolation and Personal Glucose Meter assisted synchronous quantification of Pseudomonas aeruginosa in nursing home-acquired pneumonia

Abstract

Home-acquired pneumonia is a common infection and the incidence has increased in recent years as the population ages. Pseudomonas aeruginosa (P. aeruginosa) is common in nursing home residents and in hospital infections, providing a huge threat to human health. Therefore, it is essential to develop a novel and portable P. aeruginosa analysis method for the early diagnosis of home-acquired pneumonia. Few of the established approaches enable isolation and synchronous quantification of P. aeruginosa. Herein, we propose a novel platform by integrating aptamer recognition-based aggregation of target bacteria and personal glucose meters (PGMs) based readout of results. Based on this, the method enables low-speed centrifugation (4193 g) based isolation and personal glucose meter assisted synchronous quantification of P. aeruginosa. In addition, the chain displacement process is included for signal amplification that endows the method with a wide detection range of six orders of magnitudes and a low limit of detection of 36 cfu/mL. Besides the excellent sensitivity, the approach also shows a good selectivity to P. aeruginosa detection, making it a promising tool to report P. aeruginosa based home-acquired pneumonia and guiding the early-nursing of P. aeruginosa infections at the emergency department.