Faculty of Chemistry, Applied Chemistry Department, Razi University, Kermanshah 6714414971, Iran.
Nanobiotechnology Department, Faculty of Innovative Science and Technology, Razi University, Kermanshah 6714414971, Iran.
Biosensors (Basel). 2023 Jun 5;13(6):619. doi: 10.3390/bios13060619.
Controlling water and food contamination by pathogenic organisms requires quick, simple, and low-cost methods. Using the affinity between mannose and type I fimbriae in the cell wall of () bacteria as evaluation elements compared to the conventional plate counting technique enables a reliable sensing platform for the detection of bacteria. In this study, a simple new sensor was developed based on electrochemical impedance spectroscopy (EIS) for rapid and sensitive detection of . The biorecogniton layer of the sensor was formed by covalent attachment of p-carboxyphenylamino mannose (PCAM) to gold nanoparticles (AuNPs) electrodeposited on the surface of a glassy carbon electrode (GCE). The resultant structure of PCAM was characterized and confirmed using a Fourier Transform Infrared Spectrometer (FTIR). The developed biosensor demonstrated a linear response with a logarithm of bacterial concentration (R = 0.998) in the range of 1.3 × 10 ~1.3 × 10 CFU·mL with the limit of detection of 2 CFU·mL within 60 min. The sensor did not generate any significant signals with two non-target strains, demonstrating the high selectivity of the developed biorecognition chemistry. The selectivity of the sensor and its applicability to analysis of the real samples were investigated in tap water and low-fat milk samples. Overall, the developed sensor showed to be promising for the detection of pathogens in water and low-fat milk due to its high sensitivity, short detection time, low cost, high specificity, and user-friendliness.
控制由病原生物引起的水和食物污染需要快速、简单和低成本的方法。利用细胞壁中甘露糖与 I 型菌毛之间的亲和力作为评估要素，与传统的平板计数技术相比，可以为细菌检测提供可靠的传感平台。本研究基于电化学阻抗谱（EIS），开发了一种简单的新型传感器，用于快速灵敏地检测 。传感器的生物识别层是通过将对羧基苯氨基甘露糖（PCAM）共价附着在玻碳电极（GCE）表面上电沉积的金纳米粒子（AuNPs）上形成的。利用傅里叶变换红外光谱仪（FTIR）对所得 PCAM 结构进行了表征和确认。所开发的生物传感器在 1.3×10 ~1.3×10 CFU·mL 的范围内对细菌浓度的对数表现出线性响应（R = 0.998），在 60 分钟内检测限为 2 CFU·mL。该传感器与两种非靶标菌株均未产生任何显著信号，表明所开发的生物识别化学具有高选择性。在自来水和低脂牛奶样品中研究了传感器的选择性及其对实际样品分析的适用性。总的来说，由于该传感器具有高灵敏度、短检测时间、低成本、高特异性和易用性，因此有望用于检测水中和低脂牛奶中的 病原体。
