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Nets of biotin-derived gold nanoparticles as a label for the C-reactive protein immunoassay
Analytical and Bioanalytical Chemistry ( IF 4.3 ) Pub Date : 2021-09-24 , DOI: 10.1007/s00216-021-03645-5
Alina A Kokorina 1 , Regina O Rashchevskaya 1 , Irina Yu Goryacheva 1
Affiliation  

This study presents a promising approach for the one-pot generation of the biotin-derived gold nanoparticles (GNPs@biotin). We report a direct method for the reduction of tetrachloroauric acid with biotin and generation of the labels due to nets formed via biotin–streptavidin interactions. The synthesized GNPs@biotin have a characteristic plasmon maximum, excellent colloidal stability, and streptavidin coupling efficiency. The size of the GNPs@biotin:streptavidin nets and the efficiency of interaction with specific antibodies can be easily customized by the component concentrations and time of their interaction. Moreover, the proposed labels require no additional reagents or manipulations for the synthesis, separation, or purification. The developed labels were applied for the detection of the model antigen of C-reactive protein (CRP) as a major inflammation biomarker. The assembling labels demonstrated a competitive advantage limit of CRP detection (LOD) of 1.2 ng/mL and a limit of quantification (LOQ) of 3.9 ng/mL in human plasma comparable to classical immunoassays. Moreover, the proposed approach is universal and can be potentially applied for the quantitative determination of other biomarkers in a variety of immunoassays in a combination with specific biotinylated antibodies.

Graphical abstract



中文翻译:

生物素衍生的金纳米粒子网作为 C 反应蛋白免疫测定的标记

本研究为一锅法生成生物素衍生的金纳米粒子(GNPs@biotin)提供了一种有前景的方法。我们报告了一种用生物素还原四氯金酸并由于通过生物素-链霉抗生物素相互作用形成的网而产生标记的直接方法。合成的 GNPs@biotin 具有特征等离激元最大值、优异的胶体稳定性和链霉亲和素偶联效率。GNPs@biotin:streptavidin 网的大小和与特定抗体相互作用的效率可以通过组分浓度和相互作用时间轻松定制。此外,所提出的标记不需要额外的试剂或操作来合成、分离或纯化。开发的标签用于检测作为主要炎症生物标志物的 C 反应蛋白 (CRP) 模型抗原。与经典免疫分析相比,组装标签在人血浆中展示了 1.2 ng/mL 的 CRP 检测 (LOD) 和 3.9 ng/mL 的定量限 (LOQ) 的竞争优势。此外,所提出的方法是通用的,并且可以潜在地应用于与特定生物素化抗体组合的各种免疫测定中的其他生物标志物的定量测定。

图形概要

更新日期:2021-09-27
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