Mann Hannah, Khan Shadman, Prasad Akansha, Bayat Fereshteh, Gu Jimmy, Jackson Kyle, Li Yingfu, Hosseinidoust Zeinab, Didar Tohid F, Filipe Carlos D M
Department of Chemical Engineering, McMaster University, 1280 Main Street West, Hamilton, ON, L8S 4L8, Canada.
School of Biomedical Engineering, McMaster University, 1280 Main Street West, Hamilton, ON, L8S 4L8, Canada.
Adv Mater. 2025 Jan;37(3):e2411173. doi: 10.1002/adma.202411173. Epub 2024 Nov 26.
Developing cost-effective, consumer-accessible platforms for point-of-use environmental and clinical pathogen testing is a priority, to reduce reliance on laborious, time-consuming culturing approaches. Unfortunately, a system offering ultrasensitive detection capabilities in a form that requires little auxiliary equipment or training has remained elusive. Here, a colorimetric DNAzyme-crosslinked hydrogel sensor is presented. In the presence of a target pathogen, DNAzyme cleavage results in hydrogel dissolution, yielding the release of entrapped gold nanoparticles in a manner visible to the naked eye. Recognizing that Escherichia coli holds high relevance within both environmental and clinical environments, an E. coli-responsive DNAzyme is incorporated into this platform. Through the optimization of the hydrogel polymerization process and the discovery of bacteriophage-induced DNAzyme signal amplification, 10 CFU mL E. coli is detected within real-world lake water samples. Subsequent pairing with an artificial intelligence model removed ambiguity in sensor readout, offering 96% true positive and 100% true negative accuracy. Finally, high sensor specificity and stability results supported clinical use, where 100% of urine samples collected from patients with E. coli urinary tract infections are accurately identified. No false positives are observed when testing healthy samples. Ultimately, this platform stands to significantly improve population health by substantially increasing pathogen testing accessibility.
开发具有成本效益、消费者可及的平台用于现场环境和临床病原体检测是当务之急,以减少对费力、耗时的培养方法的依赖。不幸的是,一种以几乎不需要辅助设备或培训的形式提供超灵敏检测能力的系统一直难以实现。在此,提出了一种比色DNA酶交联水凝胶传感器。在存在目标病原体的情况下,DNA酶切割导致水凝胶溶解,以肉眼可见的方式释放被困的金纳米颗粒。认识到大肠杆菌在环境和临床环境中都具有高度相关性,一种对大肠杆菌有反应的DNA酶被纳入该平台。通过优化水凝胶聚合过程和发现噬菌体诱导的DNA酶信号放大,在实际湖水样本中检测到10 CFU/mL的大肠杆菌。随后与人工智能模型配对消除了传感器读数的模糊性,提供了96%的真阳性和100%的真阴性准确率。最后,高传感器特异性和稳定性结果支持临床应用,其中从大肠杆菌尿路感染患者收集的100%的尿液样本被准确识别。在检测健康样本时未观察到假阳性。最终,该平台通过大幅提高病原体检测的可及性,有望显著改善公众健康。