Ankara University, Faculty of Pharmacy, Department of Analytical Chemistry, 06560, Ankara, Turkey; Ankara University, The Graduate School of Health Sciences, 06110, Ankara, Turkey.
Ankara University, Faculty of Science, Department of Chemistry, 06100, Ankara, Turkey.
Talanta. 2023 Dec 1;265:124809. doi: 10.1016/j.talanta.2023.124809. Epub 2023 Jun 12.
Selective and sensitive determination of macromolecules maintains its importance in diagnosing and determining diseases to protect human health. In this study, a hybrid sensor designed with dual recognition elements consisting of both aptamers (Apt) and molecularly imprinted polymers (MIPs) was carried out for the ultra-sensitive determination of Leptin. Firstly, the screen-printed electrode (SPE) surface was coated with platinum nanospheres (Pt NSs) and gold nanoparticles (Au NPs) to provide immobilization of the Apt[Leptin] complex on the surface. In the next step, the formed polymer layer around the complex using the electropolymerization of orthophenilendiamine (oPD) kept the Apt molecules on the surface more effectively. As expected, a synergistic effect occurred between the formed MIP cavities by removing Leptin from the surface and the embedded Apt molecules to fabricate a hybrid sensor. Under optimal conditions, responses in differential pulse voltammetry (DPV) currents showed a linear response over a wide concentration range from 1.0 fg/mL to 10.0 pg/mL with a limit of detection (LOD) of 0.31 fg/mL for Leptin detection. Moreover, the effectiveness of the hybrid sensor was assessed using real samples, such as human serum and plasma samples, and satisfactory recovery findings (106.2-109.0%) were found.
选择性和灵敏性的大分子检测在诊断和确定疾病以保护人类健康方面仍然很重要。在这项研究中,设计了一种具有双重识别元件的混合传感器,该元件由适体(Apt)和分子印迹聚合物(MIP)组成,用于超灵敏测定瘦素。首先,在丝网印刷电极(SPE)表面涂覆铂纳米球(Pt NSs)和金纳米颗粒(Au NPs),以将 Apt[Leptin]复合物固定在表面上。下一步,通过邻苯二胺(oPD)的电聚合在复合物周围形成聚合物层,更有效地将 Apt 分子固定在表面上。如预期的那样,从表面去除瘦素和嵌入的 Apt 分子形成的 MIP 腔之间发生协同作用,从而制造出混合传感器。在最佳条件下,差分脉冲伏安法(DPV)电流的响应在 1.0 fg/mL 至 10.0 pg/mL 的宽浓度范围内呈线性响应,检测瘦素的检出限(LOD)为 0.31 fg/mL。此外,使用人血清和血浆等实际样本评估了混合传感器的有效性,发现回收率令人满意(106.2-109.0%)。