Affordable Access

Access to the full text

Surface chemistry modified upconversion nanoparticles as fluorescent sensor array for discrimination of foodborne pathogenic bacteria

  • Yin, Mingyuan1
  • Jing, Chuang1
  • Li, Haijie1
  • Deng, Qiliang1
  • Wang, Shuo1, 2
  • 1 Tianjin University of Science and Technology, Tianjin, 300457, People’s Republic of China , Tianjin (China)
  • 2 Nankai University, Tianjin, 300071, People’s Republic of China , Tianjin (China)
Published Article
Journal of Nanobiotechnology
Springer (Biomed Central Ltd.)
Publication Date
Feb 28, 2020
DOI: 10.1186/s12951-020-00596-4
Springer Nature


BackgroundThe identification of foodborne pathogenic bacteria types plays a crucial role in food safety and public health. In consideration of long culturing times, tedious operations and the desired specific recognition elements in conventional methods, the alternative fluorescent sensor arrays can offer a high-effective approach in bacterial identification by using multiple cross-reactive receptors. Herein, we achieve this goal by constructing an upconversion fluorescent sensor array based on anti-stokes luminogens featuring a series of functional lanthanide-doped upconversion nanoparticles (UCNPs) with phenylboronic acid, phosphate groups, or imidazole ionic liquid. The prevalent spotlight effect of microorganism and the electrostatic interaction between UCNPs and bacteria endow such sensor array an excellent discrimination property.ResultsSeven common foodborne pathogenic bacteria including two Gram-positive bacteria (Staphylococcus aureus and Listeria monocytogenes) and five Gram-negative bacteria (Escherichia coli, Salmonella, Cronobacter sakazakii, Shigella flexneri and Vibrio parahaemolyticus) are precisely identified with 100% accuracy via linear discriminant analysis (LDA). Furthermore, blends of bacteria have been identified accurately. Bacteria in real samples (tap water, milk and beef) have been effectively discriminated with 92.1% accuracy.ConclusionsCurrent fluorescence sensor array is a powerful tool for high-throughput bacteria identification, which overcomes the time-consuming bacteria culture and heavy dependence of specific recognition elements. The high efficiency of whole bacterial cell detection and the discrimination capability of life and death bacteria can brighten the application of fluorescence sensor array.

Report this publication


Seen <100 times