Multicolor Coding Up-Conversion Nanoplatform for Rapid Screening of Multiple Foodborne Pathogens

多路复用 材料科学 发光 光致发光 细菌 纳米颗粒 激发态 纳米技术 光电子学 生物 遗传学 生物信息学 物理 核物理学
作者
Qiushi Hu,Qixiao Wu,Fengchun Huang,Zheng Xu,Lei Zhou,Suling Zhao
出处
期刊:ACS Applied Materials & Interfaces [American Chemical Society]
卷期号:13 (23): 26782-26789 被引量:21
标识
DOI:10.1021/acsami.1c05522
摘要

Technologies for rapid screening of multiple foodborne pathogens have been urgently needed because of the complex food matrix and high outbreaks of foodborne diseases. In this study, multicolor coding up-conversion nanoparticles (UCNPs) were synthesized and applied for rapid and simultaneous detection of five kinds of foodborne pathogens. The multicolor coding UCNPs were obtained through doping different concentrations of a sensitizer (Yb3+) on the shell of the synthesized NaYF4:Yb3+, Tm3+ (20%/2%)@NaYF4:Yb3+, and Er3+ (x %/2%) core/shell nanocrystals. All the UCNPs could emit red and green luminescence simultaneously once excited with near-infrared wavelength (980 nm), and the ratio of red and green (R/G ratio) emission light intensity of each kind of UCNPs varied depending on the Yb3+ doping concentration. In addition, the magnetic nanoparticles (MNPs) modified with the monoclonal antibodies (mAbs) against the target bacteria were used to capture and separate the bacteria, resulting in obtaining the MNP–bacterium complexes. Different UCNPs with multicolor coding acted as signal probes were also modified with the mAbs to react with the MNP–bacterium complexes to form the MNP–bacterium–UCNP sandwich complexes. After the sandwich complexes were excited with a wavelength of 980 nm, the obtained R/G ratios and the green photoluminescence intensity (PL intensity) could be used to distinguish and quantitatively detect foodborne pathogens, respectively. This proposed nanoplatform could detect five foodborne pathogens simultaneously within 2 h with good sensitivity and specificity, showing great potential for multiplex detection of other targets in the fields of medical diagnosis and food security.
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