Zagorovsky Kyryl, Fernández-Argüelles Maria Teresa, Bona Diane, Elshawadfy Ashraf Mohamed, Syed Abdullah Muhammad, Kadhiresan Pranav, Mazzulli Tony, Maxwell Karen L, Chan Warren C W
Institute of Biomedical Engineering, University of Toronto, 164 College Street, Toronto, Ontario M5S 3G9, Canada.
Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, 160 College Street, Toronto, Ontario M5S 3E1, Canada.
ACS Nanosci Au. 2022 Aug 17;2(4):324-332. doi: 10.1021/acsnanoscienceau.2c00001. Epub 2022 Apr 4.
Current urinary tract infection (UTI) diagnostic methods are slow or provide limited information, resulting in prescribing antibiotic therapy before bacterial pathogen identification. Here, we adapted a gold nanoparticle colorimetric approach and developed a smartphone platform for UTI detection. We show the parallel identification of five major UTI pathogens at clinically relevant concentrations of 10 bacteria/mL using bacteria-specific and universal probes. We validated the diagnostic technology using 115 positive and 19 negative samples from patients with , and infections. The assay successfully identified the infecting pathogen (specificity: >98% and sensitivity: 51-73%) in 3 h. Our platform is faster than culturing and can wirelessly store and transmit results at the cost of $0.38 per assay.
当前的尿路感染（UTI）诊断方法耗时较长或提供的信息有限，导致在细菌病原体鉴定之前就进行抗生素治疗。在此，我们采用了一种金纳米颗粒比色法，并开发了一个用于尿路感染检测的智能手机平台。我们展示了使用细菌特异性和通用探针在临床相关浓度为每毫升10个细菌的情况下对五种主要尿路感染病原体进行并行鉴定。我们使用来自患有肾盂肾炎、膀胱炎和尿道炎感染患者的115份阳性样本和19份阴性样本对该诊断技术进行了验证。该检测方法在3小时内成功鉴定出感染病原体（特异性：>98%，敏感性：51 - 73%）。我们的平台比培养法更快，并且能够以每次检测0.38美元的成本无线存储和传输结果。
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