journal article·2025-06-13

An Ultrabright Lanthanide-Doped Luminescent Nanotag for a Smartphone-Based Visual and Portable Lateral Flow Immunoassay of Procalcitonin and Rapid Diagnosis of Bacterial Infection

Qingwei Song, Yu Lu, Yang Liu, Sihua Qian, Yufeng Liao, A.-Xiang Han, Yunwei Wei, Kaizhe Wang, Jianping Zheng, Yuhui Wang

ACS Applied Nano Materials· Volume 8· Issue 23
Publisher page

Abstract

The lateral flow immunoassay (LFIA), as a popular point-of-care-testing (POCT) technology, has attracted increasing attention, but its analytical performance, especially detection sensitivity, relies on the photophysical properties of the nanotags used. The exploitation of high-performance, robust tags featuring facile fabrication and excellent water solubility remains a great challenge. Herein, we reported a one-pot hydrothermal preparation of diverse polymers (e.g., PAA, PEI, and PVA)-modified YVO 4:Eu nanoparticles (NPs). The polymer-coated YVO 4:Eu NPs revealed abundant surface functional groups (e.g., carboxyl, amino, and hydroxyl), good water solubility, excellent colloidal stability, and strong red emission (absolute quantum yield over 50%). To demonstrate their potential in biolabeling, a routine sandwich LFIA was designed for quick detection of procalcitonin (PCT) using PAA-YVO 4:Eu as the nanotags. Through the luminescence image collection and the corresponding RGB color value transformation, the LFIA test strips were applied for a smartphone-based portable and quantitative detection of PCT (0.2–50 ng/mL) with a limit of detection of 0.06 ng/mL in buffer. Especially, the same quantitative fitting was obtained in human serum with a slightly higher detection limit (0.16 ng/mL), demonstrating high robustness of the test strips in a complex biological matrix. For a clinical validation, in comparison with the chemiluminescent immunoassay, the proposed test strips revealed a good analytical performance (sensitivity: 88.9%, specificity: 95.2%, κ value: 0.83). This work also provides an opportunity to build versatile LFIA platforms for other targets using the developed YVO 4:Eu probes.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Biosensors and Analytical Detection

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Laboratory of Advanced Theranostic Materials and Technology, Ningbo Institute of Materials Technology & Engineering

Chinese Academy of Sciences

University of Chinese Academy of Sciences

Department of Pancreatic and Gastrointestinal Surgery Division

Ningbo No. 2 Hospital

Department of Clinical Laboratory

The First Affiliated Hospital of Ningbo University

Funding

Ningbo Municipal Bureau of Science and Technology · Chinese Academy of Science and Technology Service Network Planning · National Natural Science Foundation of China

References (47)

Show source-provided references
1. 10.1016/j.nantod.2021.10109210.1016/j.nantod.2021.101092 ↗
2. 10.1002/anie.20181091710.1002/anie.201810917 ↗
3. 10.1016/j.trac.2020.11608710.1016/j.trac.2020.116087 ↗
4. 10.1016/j.nantod.2019.10083110.1016/j.nantod.2019.100831 ↗
5. 10.1021/acs.analchem.0c0506110.1021/acs.analchem.0c05061 ↗
6. 10.1021/acs.chemrev.1c0101210.1021/acs.chemrev.1c01012 ↗
7. 10.1038/s41551-022-01001-110.1038/s41551-022-01001-1 ↗
8. 10.1002/smtd.20210114310.1002/smtd.202101143 ↗
9. 10.1002/anie.20210345810.1002/anie.202103458 ↗
10. 10.1039/C7TB01049D10.1039/C7TB01049D ↗
11. 10.1016/j.bios.2024.11671610.1016/j.bios.2024.116716 ↗
12. 10.1021/acs.analchem.9b0022310.1021/acs.analchem.9b00223 ↗
13. 10.1021/acs.analchem.4c0625810.1021/acs.analchem.4c06258 ↗
14. 10.1016/j.foodchem.2022.13397010.1016/j.foodchem.2022.133970 ↗
15. 10.1021/acs.analchem.2c0143010.1021/acs.analchem.2c01430 ↗
16. 10.1021/acs.nanolett.5c0101210.1021/acs.nanolett.5c01012 ↗
17. 10.1002/agt2.55110.1002/agt2.551 ↗
18. 10.1021/acs.chemmater.2c0374110.1021/acs.chemmater.2c03741 ↗
19. 10.1016/j.snb.2024.13556210.1016/j.snb.2024.135562 ↗
20. 10.1021/acs.analchem.9b0181210.1021/acs.analchem.9b01812 ↗
21. 10.1002/adma.20200388110.1002/adma.202003881 ↗
22. 10.1021/acsami.6b1030310.1021/acsami.6b10303 ↗
23. 10.1038/nnano.2015.25110.1038/nnano.2015.251 ↗
24. 10.1016/j.snb.2020.12823310.1016/j.snb.2020.128233 ↗
25. 10.1021/acsnano.0c0570010.1021/acsnano.0c05700 ↗
26. 10.1021/ac501262410.1021/ac5012624 ↗
27. 10.1021/jacs.8b0732910.1021/jacs.8b07329 ↗
28. 10.1021/ja108788p10.1021/ja108788p ↗
29. 10.1002/anie.20070452010.1002/anie.200704520 ↗
30. 10.1039/b617959b10.1039/b617959b ↗
31. 10.1021/acs.analchem.3c0184610.1021/acs.analchem.3c01846 ↗
32. 10.1021/cm990722t10.1021/cm990722t ↗
33. 10.1136/jclinpath-2014-20280710.1136/jclinpath-2014-202807 ↗
34. 10.1021/acs.analchem.1c0306110.1021/acs.analchem.1c03061 ↗
35. 10.1016/j.cej.2025.16355710.1016/j.cej.2025.163557 ↗
36. 10.1016/j.plabm.2021.e0021410.1016/j.plabm.2021.e00214 ↗
37. 10.1016/j.colsurfb.2015.10.02010.1016/j.colsurfb.2015.10.020 ↗
38. 10.1016/j.bios.2021.11384910.1016/j.bios.2021.113849 ↗
39. 10.1016/j.talanta.2018.10.09710.1016/j.talanta.2018.10.097 ↗
40. 10.1016/j.jallcom.2009.05.13810.1016/j.jallcom.2009.05.138 ↗
41. 10.1039/C4CP02131B10.1039/C4CP02131B ↗
42. 10.1021/jp034222610.1021/jp0342226 ↗
43. 10.1002/smll.20110060810.1002/smll.201100608 ↗
44. 10.1016/j.ab.2021.11421910.1016/j.ab.2021.114219 ↗
45. 10.1016/j.microc.2020.10553310.1016/j.microc.2020.105533 ↗
46. 10.1039/C6RA23816E10.1039/C6RA23816E ↗
47. 10.1093/jalm/jfad00710.1093/jalm/jfad007 ↗