Fei Liu, Chenjie Nie, Ziqi Wang, Kunyue Han, Wenrui Zhang, Yanwei Ji, Guangjun Huang, Wentao Zhang, Jianlong Wang
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引用次数: 0
摘要
报道了一种采用中空聚多巴胺纳米粒子（h-PDA）的双模比色/光热免疫层析条（ICS）用于鼠伤寒沙门氏菌（S. typhimurium）的超灵敏检测。h-PDA是通过配位化学介导的咪唑酸分子筛骨架-8的蚀刻合成的，得到了一个中空的纳米结构，通过增加表面积和减少热损失，提高了光热转换效率（52.36%）。h-PDA上丰富的儿茶酚羟基显著提高了抗体偶联效率。该ICS的检测限为603 CFU mL - 1（比色）和427 CFU mL - 1（光热），比传统的基于aunp的试纸条提高了16倍。单层人工神经网络（ANN）的集成使鼠伤寒沙门氏菌的分类准确率达到100%。加样回收率为99.71 ~ 111.72% (RSD < 18.73%)，验证了该方法的可行性。这项工作推进了用于ICS平台的光热纳米材料设计，并为快速监测食源性病原体提供了一个强大的工具。图形抽象
Hollow polydopamine for the enhanced ultrasensitive dual-modal immunochromatographic detection of Salmonella typhimurium in dairy products via machine learning
Salmonella typhimurium (S. typhimurium) A dual-mode colorimetric/photothermal immunochromatographic strip (ICS) employing hollow polydopamine nanoparticles (h-PDA) is reported for the ultrasensitive detection of Salmonella typhimurium (S. typhimurium). The h-PDA was synthesized via a coordination chemistry-mediated etching of zeolite imidazolate frameworks-8, yielding a hollow nanostructure that enhances photothermal conversion efficiency (52.36%) through the increased surface area and reduced thermal loss. The abundant catechol hydroxyl groups on h-PDA significantly improve antibody coupling efficiency. This ICS achieves detection limits of 603 CFU mL−1 (colorimetric) and 427 CFU mL−1 (photothermal)—a 16-fold improvement over conventional AuNP-based strips. The integration of a single-layer artificial neural network (ANN) enables 100% classification accuracy for S. typhimurium. The feasibility of the developed method is demonstrated by the recoveries of 99.71–111.72% (RSD < 18.73%) in spiked milk samples. This work advances photothermal nanomaterial design for ICS platforms and provides a robust tool for the rapid surveillance of foodborne pathogens.
期刊介绍：
As a peer-reviewed journal for analytical sciences and technologies on the micro- and nanoscale, Microchimica Acta has established itself as a premier forum for truly novel approaches in chemical and biochemical analysis. Coverage includes methods and devices that provide expedient solutions to the most contemporary demands in this area. Examples are point-of-care technologies, wearable (bio)sensors, in-vivo-monitoring, micro/nanomotors and materials based on synthetic biology as well as biomedical imaging and targeting.
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