Jiang Liu, Wu Yuhao, Li Haichuan, Sun Jiayi, Wang Xiaolong, Leng Yuankui, Guo Liang, Huang Xiaolin, Xiong Yonghua
State Key Laboratory of Food Science and Resources, School of Food Science and Technology, Nanchang University, Nanchang, 330047, PR China.
State Key Laboratory of Food Science and Resources, School of Food Science and Technology, Nanchang University, Nanchang, 330047, PR China; Jiangxi Provincial Key Laboratory of Agrofood Safety and Quality, Nanchang University, Nanchang, 330047, PR China.
Anal Chim Acta. 2025 Apr 8;1346:343742. doi: 10.1016/j.aca.2025.343742. Epub 2025 Jan 31.
Traditional immunochromatographic assay (ICA) test strips typically utilize colloidal gold nanoparticles as colorimetric signal reporters, but they often suffer from compromised sensitivity and quantitative accuracy, making them inadequate for the stringent demands of trace-level screening. In addition, the heterogeneous nature of food matrices, such as dairy products, meat, and ready-to-eat fruits and vegetables, complicates the accuracy and reliability of ICA for detecting foodborne pathogens. Therefore, enhancing the detection accuracy of ICA is critical to meet the stringent requirements for pathogen detection in complex food samples.
Here, we synthesized a novel Prussian blue-coated FeO nanoparticle (FeO@PB) via a simple in-situ growth method. The synthesized FeO@PB nanoparticles demonstrate a high magnetization strength and excellent photothermal conversion efficiency, enabling their application as efficient probes in ICA. Leveraging these properties, we developed a dual-readout ICA incorporating both colorimetric and photothermal modalities for the sensitive detection of Salmonella typhimurium in milk and lettuce samples. The detection limit (LOD) for FeO@PB-ICA reached 2.5 × 10 CFU/mL in colorimetric formats and 1.04 × 10 CFU/mL in photothermal formats, representing approximately 4-fold and 10-fold improvements compared to AuNP-ICA (LOD = 1 × 10 CFU/mL). Furthermore, the average recovery rates ranged from 89.1 % to 111.9 %, while the coefficients of variation below 13.7 %, demonstrating excellent accuracy and precision.
The proposed FeO@PB serves as effective probe for purifying and enriching target analytes, significantly improving the accuracy and sensitivity of colorimetric and photothermal immunochromatographic analysis applications. By leveraging the magnetic and photothermal capabilities of FeO@PB, the developed FeO@PB-ICA represents a promising rapid diagnostic platform for the sensitive detection of foodborne pathogens and other analytes.
传统免疫层析检测(ICA)试纸条通常使用胶体金纳米颗粒作为比色信号报告分子,但它们往往灵敏度和定量准确性不足,无法满足痕量水平筛查的严格要求。此外,食品基质(如乳制品、肉类以及即食水果和蔬菜)的异质性使得ICA检测食源性病原体的准确性和可靠性变得复杂。因此,提高ICA的检测准确性对于满足复杂食品样品中病原体检测的严格要求至关重要。
在此,我们通过一种简单的原位生长方法合成了一种新型的普鲁士蓝包覆的FeO纳米颗粒(FeO@PB)。合成的FeO@PB纳米颗粒表现出高磁化强度和优异的光热转换效率,使其能够作为高效探针应用于ICA。利用这些特性,我们开发了一种结合比色和光热两种模式的双读出ICA,用于灵敏检测牛奶和生菜样品中的鼠伤寒沙门氏菌。FeO@PB - ICA的比色检测限达到2.5×10 CFU/mL,光热检测限达到1.04×10 CFU/mL,与AuNP - ICA(检测限 = 1×10 CFU/mL)相比分别提高了约4倍和10倍。此外,平均回收率在89.1%至111.9%之间,变异系数低于13.7%,显示出优异的准确性和精密度。
所提出的FeO@PB作为纯化和富集目标分析物的有效探针,显著提高了比色和光热免疫层析分析应用的准确性和灵敏度。通过利用FeO@PB的磁性和光热能力,开发的FeO@PB - ICA代表了一个用于灵敏检测食源性病原体和其他分析物的有前途的快速诊断平台。