journal article·2024-06-14Open access

Peroxidase-like Activity of Aptamer-Gold Nanoparticles for Selective and Sensitive Fluorescence Detection of Low-Density Lipoproteins

Akarapong Prakobkij, Rattaporn Saenmuangchin, Suticha Chunta, Maliwan Amatatongchai, Daniel Citterio, Purim Jarujamrus

ACS Applied Nano Materials· Volume 7· Issue 11

Abstract

Low-density lipoprotein cholesterol (LDL-C), commonly called “bad cholesterol”, is crucial to cardiovascular health. Increased LDL-C levels pose a substantial risk to human health. As a result, there is a demand for reliable, affordable, and highly sensitive analytical methods for LDL-C detection. Herein, a facile fluorometric aptasensor for LDL-C detection based on the aptamer-enhanced peroxidase-mimicking activity of gold nanoparticles (AuNPs) has been developed. AuNPs were functionalized with LDL-C-specific thiolated aptamer to enhance their intrinsic peroxidase-like activity, which could effectively catalyze the oxidation of o -phenylenediamine dihydrochloride (OPD) by H 2 O 2 into the yellow-fluorescent product 2,3-diamino phenazine (DAP). The characterization studies confirmed that the presence of the aptamer enhances the affinity of AuNPs toward the OPD substrate, thereby leading to a marked increase in the peroxidase-mimicking activity. Moreover, after being functionalized with an aptamer, increased dispersibility and substrate affinity of AuNPs were achieved. Using LDL-C as a target analyte, under optimum conditions, a linear relationship between smartphone-recorded signal intensity and the logarithm of the analyte concentration was observed in the range of 0.05–1 mg dL –1 and the limit of detection was 0.0230 mg dL –1 . The results agree with those obtained by a clinical laboratory method. This proposed method is readily deployable and a promising prototype for diverse diagnostic applications, particularly in biomarker detection within serum or plasma samples. It holds the potential to yield substantial advantages in point-of-care testing.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Advanced Nanomaterials in Catalysis · Advanced biosensing and bioanalysis techniques · Electrochemical sensors and biosensors

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

Affiliations

Department of Chemistry and Center of Excellence for Innovation in Chemistry, Faculty of Science, Ubon Ratchathani University, Ubon Ratchathani 34190, Thailand

Nanomaterials Science, Sensors & Catalysis for Problem-Based Projects, Faculty of Science, Ubon Ratchathani University, Ubon Ratchathani 34190, Thailand

National Nanotechnology Center, National Science and Technology Development Agency, 111 Phahonyothin Rd., Khlong Luang, Pathumthani12120, Thailand

Department of Clinical Chemistry, Faculty of Medical Technology, Prince of Songkla University, Songkhla 90110, Thailand

Department of Applied Chemistry, Faculty of Science and Technology, Keio University, 3-14-1 Hiyoshi, Kohoku-ku, Yokohama 223-8522, Japan

Funding

Center of Excellence for Innovation in Chemistry · National Research Council of Thailand

References (46)

Show source-provided references
1. World Health Organization; Cardiovascular Diseases (CVDs), 2021. https://www.who.int/news-room/fact-sheets/detail/cardiovascular-diseases-(cvds) (accessed June 2023).
2. 10.1016/j.preteyeres.2018.04.00610.1016/j.preteyeres.2018.04.006 ↗
3. 10.1016/j.jacc.2008.02.03410.1016/j.jacc.2008.02.034 ↗
4. 10.1016/0021-9150(95)05675-010.1016/0021-9150(95)05675-0 ↗
5. 10.1016/S1570-0232(02)00556-110.1016/S1570-0232(02)00556-1 ↗
6. 10.1001/jama.285.19.248610.1001/jama.285.19.2486 ↗
7. Nauck M. · Clin. Nephrol. · 1996 · 46 · 319
8. 10.1093/clinchem/41.2.23210.1093/clinchem/41.2.232 ↗
9. 10.1093/clinchem/46.4.50610.1093/clinchem/46.4.506 ↗
10. 10.1016/S0022-2143(98)90168-810.1016/S0022-2143(98)90168-8 ↗
11. 10.1021/acs.analchem.0c0545910.1021/acs.analchem.0c05459 ↗
12. 10.1038/nnano.2007.26010.1038/nnano.2007.260 ↗
13. 10.1016/j.bios.2019.11188110.1016/j.bios.2019.111881 ↗
14. 10.1021/acs.analchem.2c0228010.1021/acs.analchem.2c02280 ↗
15. 10.1007/s00604-022-05173-010.1007/s00604-022-05173-0 ↗
16. 10.1016/j.apsusc.2019.02.13510.1016/j.apsusc.2019.02.135 ↗
17. 10.1016/j.snb.2023.13400610.1016/j.snb.2023.134006 ↗
18. 10.1002/chem.20150439410.1002/chem.201504394 ↗
19. 10.1002/ejic.20150123710.1002/ejic.201501237 ↗
20. 10.1016/j.snb.2018.03.04910.1016/j.snb.2018.03.049 ↗
21. 10.1016/j.aca.2022.34038310.1016/j.aca.2022.340383 ↗
22. 10.1016/j.bios.2022.11475110.1016/j.bios.2022.114751 ↗
23. 10.1021/ac502872610.1021/ac5028726 ↗
24. 10.1021/acs.analchem.5b0392610.1021/acs.analchem.5b03926 ↗
25. 10.1007/s00604-018-3078-x10.1007/s00604-018-3078-x ↗
26. 10.1021/acs.analchem.8b0545510.1021/acs.analchem.8b05455 ↗
27. 10.1016/j.snb.2020.12931810.1016/j.snb.2020.129318 ↗
28. 10.1016/j.microc.2020.10528810.1016/j.microc.2020.105288 ↗
29. 10.1016/j.dyepig.2022.11086910.1016/j.dyepig.2022.110869 ↗
30. 10.1021/jp061667w10.1021/jp061667w ↗
31. 10.1007/s00216-010-3511-410.1007/s00216-010-3511-4 ↗
32. 10.1016/j.talanta.2022.12419910.1016/j.talanta.2022.124199 ↗
33. 10.1039/c2nr12109c10.1039/c2nr12109c ↗
34. 10.1038/nchem.135210.1038/nchem.1352 ↗
35. 10.1021/ar200260p10.1021/ar200260p ↗
36. 10.1021/acsnano.5b0286410.1021/acsnano.5b02864 ↗
37. 10.1038/s41570-017-001710.1038/s41570-017-0017 ↗
38. 10.1038/ncomms534810.1038/ncomms5348 ↗
39. 10.1021/jp047134+10.1021/jp047134+ ↗
40. 10.1039/C4CC07275H10.1039/C4CC07275H ↗
41. 10.1039/D0RA10602J10.1039/D0RA10602J ↗
42. 10.1002/slct.20200095610.1002/slct.202000956 ↗
43. 10.1039/C7NR05541B10.1039/C7NR05541B ↗
44. 10.1039/C5NR04176G10.1039/C5NR04176G ↗
45. 10.1016/j.ab.2010.07.03410.1016/j.ab.2010.07.034 ↗
46. AOAC International; Appendix F: guidelines for standard method performance requirements, 2016. https://www.aoac.org/wp-content/uploads/2019/08/app_f.pdf (accessed June 2023).