Wen Junlin, Zhu Yufan, Liu Jianbo, He Daigui
School of Environmental Science and Engineering, Guangdong University of Technology Guangzhou 510006 P. R. China
College of Artificial Intelligence, Guangdong Mechanical & Electrical Polytechnic Guangzhou 510550 P. R. China
RSC Adv. 2022 Apr 29;12(21):13045-13051. doi: 10.1039/d2ra01788a. eCollection 2022 Apr 28.
Bacterial infection poses severe threats to public health, and early rapid detection of the pathogen is critical for controlling bacterial infectious diseases. Current methods are commonly labor intensive, time consuming or dependent on lab-based equipment. In this study, we proposed a novel and practical method for bacterial detection based on smartphones using the surface plasmon resonance (SPR) phenomena of gold nanoparticles (AuNPs). The proposed smartphone-based SPR sensing method is achieved by utilizing color development that arises from the change in interparticle distance of AuNPs induced by bacterial lysate. The pictures of bacteria/AuNPs color development were captured, and their color signals were acquired through a commercial smartphone. The proposed method has a detection range between 2.44 × 10 and 1.25 × 10 cfu mL and a detection limit of 8.81 × 10 cfu mL. Furthermore, this method has acceptable recoveries (between 85.7% and 95.4%) when measuring spiked real waters. Combining smartphone-based signal reading with AuNP-dependent color development also offers the following advantages: easy-to-use, real-time detection, free of complex equipment and low cost. In view of these features, this sensing platform would have widespread applications in the fields of medical, food, and environmental sciences.
细菌感染对公众健康构成严重威胁,病原体的早期快速检测对于控制细菌感染性疾病至关重要。当前的方法通常劳动强度大、耗时或依赖基于实验室的设备。在本研究中,我们提出了一种基于智能手机的新型实用细菌检测方法,利用金纳米颗粒(AuNPs)的表面等离子体共振(SPR)现象。所提出的基于智能手机的SPR传感方法是通过利用细菌裂解物诱导的AuNPs颗粒间距离变化产生的显色来实现的。拍摄细菌/AuNPs显色的图片,并通过商用智能手机获取其颜色信号。所提出的方法检测范围在2.44×10至1.25×10 cfu/mL之间,检测限为8.81×10 cfu/mL。此外,该方法在测量加标实际水样时具有可接受的回收率(85.7%至95.4%)。将基于智能手机的信号读取与依赖AuNP的显色相结合还具有以下优点:易于使用、实时检测、无需复杂设备且成本低。鉴于这些特点,该传感平台将在医学、食品和环境科学领域得到广泛应用。