Ciaurriz Paula, Fernández Fátima, Tellechea Edurne, Moran Jose F, Asensio Aaron C
Cemitec (Multidisciplinary Center of Technologies for Industry), Polígono Mocholí, Plaza Cein 3, Noain 31110, Spain.
IdAB-CSIC-UPNA-GN (Institute of Agro-Biotechnology), Public University of Navarre, Campus Arrosadía s/n, Pamplona 31006, Spain.
Beilstein J Nanotechnol. 2017 Jan 25;8:244-253. doi: 10.3762/bjnano.8.27. eCollection 2017.
The enzyme-linked immunosorbent assay (ELISA) technique is based on the specific recognition ability of the molecular structure of an antigen (epitope) by an antibody and is likely the most important diagnostic technique used today in bioscience. With this methodology, it is possible to diagnose illness, allergies, alimentary fraud, and even to detect small molecules such as toxins, pesticides, heavy metals, etc. For this reason, any procedures that improve the detection limit, sensitivity or reduce the analysis time could have an important impact in several fields. In this respect, many methods have been developed for improving the technique, ranging from fluorescence substrates to methods for increasing the number of enzyme molecules involved in the detection such as the biotin-streptavidin method. In this context, nanotechnology has offered a significant number of proposed solutions, mainly based on the functionalization of nanoparticles from gold to carbon which could be used as antibody carriers as well as reporter enzymes like peroxidase. However, few works have focused on the study of best practices for nanoparticle functionalization for ELISA enhancement. In this work, we use 20 nm gold nanoparticles (AuNPs) as a vehicle for secondary antibodies and peroxidase (HRP). The design of experiments technique (DOE) and four different methods for biomolecule loading were compared using a rabbit IgG/goat anti-rabbit IgG ELISA model (adsorption, directional, covalent and a combination thereof). As a result, AuNP probes prepared by direct adsorption were the most effective method. AuNPs probes were then used to detect gliadin, one of the main components of wheat gluten, the protein composite that causes celiac disease. With this optimized approach, our data showed a sensitivity increase of at least five times and a lower detection limit with respect to a standard ELISA of at least three times. Additionally, the assay time was remarkably decreased.
酶联免疫吸附测定(ELISA)技术基于抗体对抗原分子结构(表位)的特异性识别能力,它可能是当今生物科学中最重要的诊断技术。通过这种方法,可以诊断疾病、过敏、食品欺诈,甚至检测毒素、农药、重金属等小分子。因此,任何提高检测限、灵敏度或缩短分析时间的程序都可能在多个领域产生重要影响。在这方面,已经开发了许多改进该技术的方法,从荧光底物到增加检测中所涉及酶分子数量的方法,如生物素-链霉亲和素法。在此背景下,纳米技术提供了大量的解决方案,主要基于从金到碳的纳米颗粒功能化,这些纳米颗粒可用作抗体载体以及过氧化物酶等报告酶。然而,很少有研究专注于纳米颗粒功能化以增强ELISA的最佳实践研究。在这项工作中,我们使用20纳米的金纳米颗粒(AuNP)作为二抗和过氧化物酶(HRP)的载体。使用兔IgG/山羊抗兔IgG ELISA模型(吸附、定向、共价及其组合)比较了实验设计技术(DOE)和四种不同的生物分子负载方法。结果,直接吸附制备的AuNP探针是最有效的方法。然后,AuNP探针用于检测麦醇溶蛋白,它是面筋的主要成分之一,是导致乳糜泻的蛋白质复合物。通过这种优化方法,我们的数据显示灵敏度至少提高了五倍,检测限相对于标准ELISA至少降低了三倍。此外,检测时间显著缩短。