Analytical Chemistry Department , Iuliu Haţieganu University of Medicine and Pharmacy , Cluj-Napoca 400349 , Romania.
Department of Nanoengineering , University of California, San Diego , La Jolla , California 92093 , United States.
Anal Chem. 2018 Jun 19;90(12):7761-7768. doi: 10.1021/acs.analchem.8b01915. Epub 2018 Jun 8.
Early screening of clinically relevant pathogens in the environment is a highly desirable goal in clinical care, providing precious information that will improve patient-care outcomes. In this work, a glove-based electrochemical sensor has been designed for point-of-use screening of Pseudomonas aeruginosa's virulence factors. The methodology used for the elaboration of the fabric platform relied on printing the conductive inks on the index and middle fingers of the glove, with the goal of screening pyocyanin and pyoverdine targets. The analytical signatures of the analytes were recorded in about 4 min, via the rapid and selective square-wave-voltammetry technique. Finger-based sensors display good performance and discrimination between the targets and potential interferences, along with good reproducibility. The sensors featured linearity over the 0.01-0.1 μM range for pyocyanin and 5-50 μM range for pyoverdine, with sensitivities of 2.51 μA/μM for pyocyanin and 1.09 nA/μM for pyoverdine ( R = 0.990 and 0.995, respectively) and detection limits of 3.33 nM for pyocyanin and 1.66 μM for pyoverdine. Moreover, the sensors were tested in binary mixtures of analytes, with successful outcomes. In order to gain information from the surrounding environment, the active electronic areas of the printed fingers were coated with a conductive hydrogel matrix, and relevant target surfaces were "swiped for notification" of contaminants. The simple fabrication, low-cost, and reusability of the proposed glove are likely to underpin the progressive drive of wearable sensors toward decentralized environmental and healthcare applications.
在临床护理中，早期筛选环境中具有临床意义的病原体是一个非常理想的目标，它提供了宝贵的信息，可以改善患者的治疗效果。在这项工作中，设计了一种基于手套的电化学传感器，用于即时筛查铜绿假单胞菌的毒力因子。用于制作织物平台的方法依赖于在手套的食指和中指上印刷导电油墨，目的是筛选绿脓菌素和吡咯并喹啉的靶标。通过快速和选择性的方波伏安法技术，大约 4 分钟即可记录分析物的分析特征。基于手指的传感器在目标和潜在干扰之间具有良好的性能和区分能力，以及良好的重现性。传感器在 0.01-0.1 μM 范围内对绿脓菌素和 5-50 μM 范围内对吡咯并喹啉表现出良好的线性关系，绿脓菌素的灵敏度为 2.51 μA/μM，吡咯并喹啉的灵敏度为 1.09 nA/μM（R 分别为 0.990 和 0.995），绿脓菌素的检测限为 3.33 nM，吡咯并喹啉的检测限为 1.66 μM。此外，传感器在混合分析物的二元混合物中进行了测试，结果令人满意。为了从周围环境中获取信息，印刷手指的有源电子区域涂覆有导电水凝胶基质，并“滑动”相关目标表面以通知污染物。所提出的手套具有简单的制造、低成本和可重复使用性，这可能会支持可穿戴传感器向分散式环境和医疗保健应用的发展。
