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

适体 胶体金 过氧化物酶 荧光 化学 纳米颗粒 生物物理学 纳米技术 材料科学 生物化学 分子生物学 生物 量子力学 物理
作者
Akarapong Prakobkij,Rattaporn Saenmuangchin,Suticha Chunta,Maliwan Amatatongchai,Daniel Citterio,Purim Jarujamrus
出处
期刊:ACS applied nano materials [American Chemical Society]
标识
DOI:10.1021/acsanm.4c00336
摘要

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 H2O2 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.
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