journal article·2025-02-28

Plasmon-Enhanced Quantum Dot Nanobead-Based Lateral Flow Assay with Lower Background and Improved Sensitivity

Xiaoyi Li, Wannian Yan, Yucheng Wang, Ru-jia Yu, Huanxing Han, Pengfei Zhang

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

Abstract

Developing a fluorescence lateral flow assay (LFA) is of great importance for achieving ultrasensitive, quantitative, and rapid testing of clinical specimens at point-of-care. However, the fluorescent quantum dot (QD) nanobeads currently used in LFA still have drawbacks, such as large particle size, which leads to high background, easy aggregation, and poor fluidity. To address this issue, a promising strategy is to utilize plasmonic energy transfer from gold nanoparticles to QDs to create smaller and brighter fluorescent nanobeads without simply increasing the amount of QDs encapsulated in one nanobead. In this study, we prepared plasmon-enhanced quantum dot nanobeads (PEQNBs) by encapsulating gold nanoparticles and QDs into polymer nanobeads using a versatile emulsion-solvent evaporation method. As low as about 4000 PEQNB nanoparticles were detected using a gel imager, which is 14.6 times less nanoparticles than that of QD nanobeads of a similar size. The PEQNB-based LFA for interleukin-6 detection exhibited a higher fluorescence intensity and lower background signal than QD nanobeads of similar size. Moreover, compared to larger-sized QD nanobeads with an average diameter of 131.1 nm, PEQNB with an average diameter of 78.6 nm-based LFA exhibited similar levels of fluorescence intensity but 1.55-fold lower background signal and 1.44-fold lower detection limits. The detection limit of PEQNB-based LFA for IL-6 detection can be as low as 13.1 pg/mL in human serum samples. This work demonstrated that optimized plasmon-enhanced QD nanobeads can further increase the sensitivity and lower the background signals of ultrasensitive fluorescent LFA for disease diagnosis at point-of-care.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Biosensors and Analytical Detection · Gold and Silver Nanoparticles Synthesis and Applications · Advanced Biosensing Techniques and Applications

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

Affiliations

Shanghai Skin Disease Hospital, School of Medicine

Tongji University

Molecular Biology and Microbial Food Safety, Swammerdam Institute for Life Sciences, University of Amsterdam, Science Park 904, Amsterdam 1098 XH, Netherlands

Shanghai Kundao Biotech. Co., Ltd.

State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering

Nanjing University

Department of Pharmacy, Changzheng Hospital

Naval Medical University

Funding

Science and Technology Innovation Plan Of Shanghai Science and Technology Commission · Clinical Research Incubation Program of Shanghai Skin Disease Hospital

References (51)

Show source-provided references
1. 10.1021/acs.accounts.4c0007510.1021/acs.accounts.4c00075 ↗
2. 10.1002/agt2.2210.1002/agt2.22 ↗
3. 10.1016/j.snb.2018.11.07410.1016/j.snb.2018.11.074 ↗
4. 10.1016/j.snb.2020.12823310.1016/j.snb.2020.128233 ↗
5. 10.1039/b311905j10.1039/b311905j ↗
6. 10.1373/clinchem.2006.07848510.1373/clinchem.2006.078485 ↗
7. 10.7150/thno.800710.7150/thno.8007 ↗
8. 10.1016/j.trac.2022.11675410.1016/j.trac.2022.116754 ↗
9. 10.1016/j.jmst.2020.06.00310.1016/j.jmst.2020.06.003 ↗
10. 10.1098/rsfs.2016.006410.1098/rsfs.2016.0064 ↗
11. 10.1039/C6RA09279A10.1039/C6RA09279A ↗
12. 10.1021/acs.analchem.0c0348410.1021/acs.analchem.0c03484 ↗
13. 10.1038/nbt.398710.1038/nbt.3987 ↗
14. 10.1016/j.snb.2020.12877110.1016/j.snb.2020.128771 ↗
15. 10.1039/C9NR08509B10.1039/C9NR08509B ↗
16. 10.1002/anie.20120187210.1002/anie.201201872 ↗
17. 10.1039/D0AN00035C10.1039/D0AN00035C ↗
18. 10.1021/acs.inorgchem.2c0378310.1021/acs.inorgchem.2c03783 ↗
19. 10.1021/am503517s10.1021/am503517s ↗
20. 10.1021/acsami.3c0086110.1021/acsami.3c00861 ↗
21. 10.1021/acs.analchem.6b0142710.1021/acs.analchem.6b01427 ↗
22. 10.1021/acsami.1c1146110.1021/acsami.1c11461 ↗
23. 10.1021/acs.analchem.7b0086910.1021/acs.analchem.7b00869 ↗
24. 10.1021/acsanm.9b0095610.1021/acsanm.9b00956 ↗
25. 10.1038/ncomms609310.1038/ncomms6093 ↗
26. 10.1039/C7CS00169J10.1039/C7CS00169J ↗
27. 10.1039/C8NR06156D10.1039/C8NR06156D ↗
28. 10.1002/adma.20170080310.1002/adma.201700803 ↗
29. 10.1016/j.nanoen.2017.10.05510.1016/j.nanoen.2017.10.055 ↗
30. 10.1002/adfm.20200727710.1002/adfm.202007277 ↗
31. 10.1002/adfm.20200803110.1002/adfm.202008031 ↗
32. 10.1021/acssensors.7b0038210.1021/acssensors.7b00382 ↗
33. 10.1021/acs.analchem.0c0428010.1021/acs.analchem.0c04280 ↗
34. 10.1021/acs.jpcc.5b0515410.1021/acs.jpcc.5b05154 ↗
35. 10.1021/la303604910.1021/la3036049 ↗
36. 10.1038/s41551-022-01001-110.1038/s41551-022-01001-1 ↗
37. 10.1021/acsnano.3c0265110.1021/acsnano.3c02651 ↗
38. 10.1021/acs.nanolett.2c0060610.1021/acs.nanolett.2c00606 ↗
39. 10.1021/acs.analchem.2c0392510.1021/acs.analchem.2c03925 ↗
40. 10.3791/6700010.3791/67000 ↗
41. 10.1021/acs.nanolett.7b0230210.1021/acs.nanolett.7b02302 ↗
42. 10.1021/acsnano.0c1003510.1021/acsnano.0c10035 ↗
43. 10.1021/acsanm.0c0101410.1021/acsanm.0c01014 ↗
44. 10.1021/acs.analchem.1c0023310.1021/acs.analchem.1c00233 ↗
45. 10.1021/acsami.0c1717010.1021/acsami.0c17170 ↗
46. 10.1021/acsami.2c1121810.1021/acsami.2c11218 ↗
47. 10.1021/acsnano.3c1242810.1021/acsnano.3c12428 ↗
48. 10.1038/s41551-020-0547-410.1038/s41551-020-0547-4 ↗
49. 10.1126/sciadv.aar628010.1126/sciadv.aar6280 ↗
50. 10.1021/acs.chemrev.9b0023410.1021/acs.chemrev.9b00234 ↗
51. 10.1021/acs.chemrev.1c0042210.1021/acs.chemrev.1c00422 ↗