Institute of Analytical Chemistry, Chemo- and Biosensors , University of Regensburg , 93053 Regensburg , Germany.
CEITEC-Central European Institute of Technology , Masaryk University , 625 00 Brno , Czech Republic.
Anal Chem. 2019 Aug 6;91(15):9435-9441. doi: 10.1021/acs.analchem.9b02872. Epub 2019 Jul 15.
Single-molecule (digital) immunoassays provide the ability to detect much lower protein concentrations than conventional immunoassays. As photon-upconversion nanoparticles (UCNPs) can be detected without optical background interference, they are excellent labels for so-called single-molecule upconversion-linked immunosorbent assays (ULISAs). We have introduced a UCNP label design based on streptavidin-PEG-neridronate and a two-step detection scheme involving a biotinylated antibody that efficiently reduces nonspecific binding on microtiter plates. In a microtiter plate immunoassay, individual sandwich immune complexes of the cancer marker prostate-specific antigen (PSA) are detected and counted by wide-field epiluminescence microscopy (digital readout). The digital detection is 16× more sensitive than the respective analogue readout and thus expands the limit of detection to the sub-femtomolar concentration range (LOD: 23 fg mL, 800 aM). The single molecule ULISA shows excellent correlation with an electrochemiluminescence reference method. Although the analogue readout can routinely measure PSA concentrations in human serum samples, very low concentrations have to be monitored after radical prostatectomy. Combining the digital and analogue readout covers a dynamic range of more than 3 orders of magnitude in a single experiment.
单分子(数字)免疫分析能够检测到比传统免疫分析低得多的蛋白质浓度。由于上转换纳米粒子(UCNP)可以在没有光学背景干扰的情况下被检测到,因此它们是所谓的单分子上转换免疫分析(ULISA)的理想标记物。我们引入了一种基于链霉亲和素-PEG-依替膦酸和两步检测方案的 UCNP 标记设计,该方案涉及一种生物素化抗体,可有效减少微量滴定板上的非特异性结合。在微孔板免疫分析中,通过宽场落射荧光显微镜(数字读出)检测和计数个体的前列腺特异性抗原(PSA)夹心免疫复合物。数字检测比相应的模拟读出灵敏 16 倍,从而将检测限扩展到亚飞摩尔浓度范围(LOD:23 fg/mL,800 aM)。单分子 ULISA 与电化学发光参考方法具有出色的相关性。尽管模拟读数可以常规测量人血清样本中的 PSA 浓度,但在根治性前列腺切除术后必须监测非常低的浓度。在单个实验中,数字和模拟读数相结合可覆盖 3 个数量级以上的动态范围。