Lumensia Sensors S.L., 46022 Valencia, Spain.
Centro Avanzado de Microbiología de Alimentos, Biotechnology Department, Universitat Politècnica de València, 46022 Valencia, Spain.
Sensors (Basel). 2023 Jun 14;23(12):5570. doi: 10.3390/s23125570.
The present work describes an alternative method for detecting and identifying in food samples by developing a nanophotonic biosensor containing bioreceptors and optical transducers. The development of photonic sensors for the detection of pathogens in the food industry involves the implementation of procedures for selecting probes against the antigens of interest and the functionalization of the sensor surfaces on which the said bioreceptors are located. As a previous step to functionalizing the biosensor, an immobilization control of these antibodies on silicon nitride surfaces was carried out to check the effectiveness of in plane immobilization. On the one hand, it was observed that a -specific polyclonal antibody has a greater binding capacity to the antigen at a wide range of concentrations. A monoclonal antibody is more specific and has a greater binding capacity only at low concentrations. An assay for evaluating selected antibodies against particular antigens of bacteria was designed to determine the binding specificity of each probe using the indirect ELISA detection technique. In addition, a validation method was established against the reference method for many replicates belonging to different batches of meat-detectable samples, with a medium and pre-enrichment time that allowed optimal recovery of the target microorganism. Moreover, no cross-reactivity with other nontarget bacteria was observed. Thus, this system is a simple, highly sensitive, and accurate platform for detection.
本工作描述了一种替代方法，用于通过开发包含生物受体和光学换能器的纳米光子生物传感器来检测和识别食品样品中的 。在食品工业中，为了检测病原体，开发光子传感器涉及到针对感兴趣的抗原选择探针的程序，以及位于所述生物受体的传感器表面的功能化。作为生物传感器功能化的前一步，对这些抗体在氮化硅表面上的固定化进行了控制，以检查平面固定化的有效性。一方面，观察到一种针对 的多克隆抗体在广泛的浓度范围内对抗原具有更大的结合能力。一种针对 的单克隆抗体在低浓度下更具特异性且具有更大的结合能力。设计了一种用于评估针对 细菌特定抗原的选定抗体的测定法，以使用间接 ELISA 检测技术确定每个探针的结合特异性。此外，针对来自不同批次可检测肉样品的许多重复的参考方法建立了验证方法，该方法具有允许目标微生物最佳回收的中等和预富集时间。此外，未观察到与其他非目标细菌的交叉反应性。因此，该系统是一种简单、高灵敏度和准确的 检测平台。
