Development of a Novel ct-DNA-Based Sensing Platform for Real-Time Detection of Pseudomonas Aeruginosa Infection

Abstract:

Pseudomonas aeruginosa (Pa) infection is a significant public health concern, and accurate diagnosis at the point-of-care (POC) is crucial. Here, we present a novel ct-DNA-based sensing platform that enables real-time detection of Pa infection in clinical samples. Our results demonstrate the potential of this platform for POC diagnosis, highlighting its ability to detect pyocyanin (PYO), a virulent quorum-sensing molecule responsible for Pa infections.

Background:

Pa is a common opportunistic pathogen that causes severe infections, particularly in immunocompromised individuals. The development of a reliable and accurate diagnostic tool for Pa infection is essential for timely treatment and prevention of further complications.

Methodology:

Our approach involved the design and synthesis of a novel ct-DNA-based sensing platform that mimics the extracellular DNA interaction with PYO. We used calf thymus DNA (ct-DNA) functionalized amine-containing carbon quantum dots (CQDs) as a biomimetic receptor for electrochemical sensing of PYO.

Results:

Our results demonstrate the ability of the ct-DNA-based sensing platform to detect PYO release from Pa strains during lag and stationary phases. Calibration and validation of the sensor were performed in buffer solution, microbial culture media, artificial urine, and real urine samples. The platform enabled selective measurement of PYO in the presence of other interfering species.

Discussion:

The development of this novel sensing platform has significant implications for the diagnosis of Pa infection at the POC. Our results highlight the potential of ct-DNA-based sensing platforms for real-time detection of Pa infections, offering a promising solution for accurate and timely diagnosis.

In conclusion, our study demonstrates the development of a novel ct-DNA-based sensing platform for real-time detection of Pseudomonas aeruginosa infection. This platform has the potential to revolutionize the diagnosis of Pa infections at the point-of-care, enabling healthcare providers to make informed treatment decisions and improve patient outcomes.

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