Smartphone-based surface plasmon resonance sensing platform for rapid detection of bacteria. 2022

Junlin Wen, and Yufan Zhu, and Jianbo Liu, and Daigui He
School of Environmental Science and Engineering, Guangdong University of Technology Guangzhou 510006 P. R. China jlwen@gdut.edu.cn.

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 × 105 and 1.25 × 108 cfu mL-1 and a detection limit of 8.81 × 104 cfu mL-1. 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.

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