School of Food Science and Technology, Shihezi University, Shihezi, Xinjiang, 832003, China; Key Laboratory of Agricultural Product Processing and Quality Control of Specialty(Co-construction by Ministry and Province), School of Food Science and Technology, Shihezi University, Shihezi, China.
College of Animal Science and Technology, Shihezi University, Shihezi, China.
Talanta. 2024 Dec 1;280:126777. doi: 10.1016/j.talanta.2024.126777. Epub 2024 Aug 24.
In recent years, nanozymes have been widely used in the field of biosensing and food safety testing due to their advantages of low cost, high stability, easy modification and adjustable catalytic activity. However, how to reduce the signal interference generated by reducing substances, macromolecules and colored substances in the food matrix in nanozymes-based colorimetric sensing is still a major challenge. In this paper, using Listeria monocytogenes as a model analyte, sodium sulfonyl methacrylate (SBMA) polymers were modified onto cotton swabs by photothermal polymerization and combined with Listeria monocytogenes-specific aptamer (Apt1) to prepare swabs that can specifically capture and isolate Listeria monocytogenes from complex matrices (SBMA/Apt1 cotton swab). In addition, in combination with the inhibitory effect of the aptamer (Apt2) on the oxidase activity of MnO NPs, a colorimetric biosensor based on nanozymes that can quantitatively, sensitively, and specifically identify Listeria monocytogenes in food products was constructed. The results showed that the colorimetric signal of the method was linear with the concentration of Listeria monocytogenes in the range of 2.83-2.83 × 10 CFU/mL, and the limit of detection was 2.64 CFU/mL, which can be used for the detection of Listeria monocytogenes in complex environments and food samples.
近年来，纳米酶由于其成本低、稳定性高、易于修饰和可调催化活性等优点，在生物传感和食品安全检测领域得到了广泛应用。然而，如何减少纳米酶基比色传感中食品基质中还原物质、大分子和有色物质产生的信号干扰仍然是一个主要挑战。本文以李斯特菌为模式分析物，通过光热聚合将磺基甲基丙烯酸钠（SBMA）聚合物修饰到棉签上，并与李斯特菌特异性适配体（Apt1）结合，制备可特异性捕获和分离复杂基质中李斯特菌的棉签（SBMA/Apt1 棉签）。此外，结合适配体（Apt2）对 MnO NPs 氧化酶活性的抑制作用，构建了一种基于纳米酶的比色生物传感器，可定量、敏感、特异性地识别食品中的李斯特菌。结果表明，该方法的比色信号与李斯特菌浓度在 2.83-2.83×10 CFU/mL 范围内呈线性关系，检出限为 2.64 CFU/mL，可用于复杂环境和食品样品中李斯特菌的检测。
