Hollow polydopamine for the enhanced ultrasensitive dual-modal immunochromatographic detection of Salmonella typhimurium in dairy products via machine learning
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
Abstract
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.