School of Food Science and Pharmaceutical Engineering, Nanjing Normal University, Nanjing 210023, China.
Medical Imaging Center, the First Affiliated Hospital, Jinan University, Guangdong 510630, China.
Food Chem. 2023 Oct 15;423:136339. doi: 10.1016/j.foodchem.2023.136339. Epub 2023 May 10.
A smartphone-based sensitive, rapid, label-free and high-throughput detection platform for Escherichia coli O157:H7 was established. The specific recognition capability of this platform was dependent of the aptamer modified on the silica photonic microsphere (SPM), whose structural colour was utilized for the quantification of the target bacterium. Gold nanoparticles and silver staining technique were employed to improve the sensitivity of the detection platform. Such smartphone-based detection platform gave a wide linear detection range of 10 ∼ 10 CFU/mL with a low limit of detection (LOD) of 68 CFU/mL and high specificity for Escherichia coli O157:H7. Moreover, the recovery rates of the detection method were measured in the range of 99 ∼ 108% in the milk, pork and purified water samples. Furthermore, the developed detection platform did not require complex sample pretreatment and could be easily manipulated, displaying great application potential in the fields of food safety, environmental monitoring and disease diagnosis.
建立了一种基于智能手机的敏感、快速、无标记和高通量的大肠杆菌 O157:H7 检测平台。该平台的特异性识别能力依赖于修饰在硅质光学生物微球(SPM)上的适体,其结构颜色用于定量检测目标细菌。金纳米粒子和银染色技术被用于提高检测平台的灵敏度。基于智能手机的这种检测平台具有 10∼10 CFU/mL 的宽线性检测范围,检测限(LOD)低至 68 CFU/mL,对大肠杆菌 O157:H7 具有高特异性。此外,在牛奶、猪肉和纯化水样品中的检测方法的回收率在 99∼108%范围内。此外,该开发的检测平台不需要复杂的样品预处理,并且易于操作,在食品安全、环境监测和疾病诊断等领域显示出巨大的应用潜力。