Platinum nanoparticles-based electrochemical H2O2 sensor for rapid antibiotic susceptibility testing

Feng Li; Luhua Xin; Jidong Wang; Wenwen Chen

doi:10.1016/j.talanta.2024.126835

Platinum nanoparticles-based electrochemical H₂O₂ sensor for rapid antibiotic susceptibility testing

Talanta. 2024 Sep 10:281:126835. doi: 10.1016/j.talanta.2024.126835. Online ahead of print.

Authors

Feng Li¹, Luhua Xin¹, Jidong Wang², Wenwen Chen³

Affiliations

¹ School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen University, Shenzhen, Guangdong, 518055, China.
² Medical Research Center, Huazhong University of Science and Technology Union Shenzhen Hospital, The 6th Affiliated Hospital, Shenzhen University Medical School, Shenzhen University, Shenzhen, 518052, China.
³ School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen University, Shenzhen, Guangdong, 518055, China. Electronic address: chenww@szu.edu.cn.

PMID: 39265424
DOI: 10.1016/j.talanta.2024.126835

Abstract

With the increase of antimicrobial resistance, rapid antibiotic susceptibility testing (AST) to guide precise antibiotic administration has become increasingly important. However, current gold standard AST approaches tend to take up to 24-48 h. In this work, based on the nature of catalase-positive bacteria decomposing H₂O₂, we developed a rapid, portable, straightforward, and cost-effective phenotypic AST approach by detecting residual H₂O₂ using a Pt nanoparticles-based electrochemical sensor. The pulse current of the sensor exhibited a linear increase with rising H₂O₂ concentration, demonstrating a high sensitivity of ∼382.2 μA cm^-2 mM^-1. This approach showed superb diagnostic performance, with an area under the curve of 1 for 24 clinical samples of Escherichia coli and Staphylococcus aureus, with a total detection time of 60 and 45 min, respectively. Furthermore, the performance of the sensor showed no degradation even after 100 detections, promising a substantial reduction in AST costs. Overall, the proposed approach exhibited immense potential for diagnosing bacterial antibiotic resistance.

Keywords: Antibiotic susceptibility testing; Catalase-positive bacteria; Electrochemistry; H(2)O(2) sensor; Pt nanoparticles.