Su Xujie, Xu Fan, Li Hui, Li Shaoguang, Xia Fan
State Key Laboratory of Geomicrobiology and Environmental Changes, Engineering Research Center of Nano-Geomaterials of Ministry of Education, Faculty of Materials Science and Chemistry, China University of Geosciences, Wuhan, 430074, China.
State Key Laboratory of Geomicrobiology and Environmental Changes, Engineering Research Center of Nano-Geomaterials of Ministry of Education, Faculty of Materials Science and Chemistry, China University of Geosciences, Wuhan, 430074, China.
Anal Chim Acta. 2025 Oct 1;1369:344345. doi: 10.1016/j.aca.2025.344345. Epub 2025 Jun 21.
The accurate analysis of protein plays a significant role in disease diagnosis and treatment. Electrochemical aptamer-based (EAB) sensors, known for their high sensitivity and cost-effectiveness, are good candidates for protein analysis. Despite of their advantages, there is a lack of the systematical study on optimized conditions for protein analysis. For instance, the association and dissociation rate constants (k and k), the binding kinetics (e.g., τ) and thermodynamics (K value) are of significance for sensing purpose, which are greatly impacted by several parameters including probe density, temperatures, or salt concentrations. Here, we employ thrombin as a test bed to investigate the sensing performance dependence on these three parameters. We achieved an optimal probe density of 10 nm to support a robust binding event across the probe distance range of 8 nm-62 nm. For temperature condition, we observed that at 45 °C sensors exhibited highest values for both k and k constants, resulting a moderate binding affinity. The optimal temperature for the overall sensor performance remains as 37 °C. Finally, we demonstrated that the protein analysis is greatly dependent of salt concentrations as well as the valency, with the addition of 20 mM Mg exhibiting a significant increase of both k and k values. The findings contribute to advancing biosensor technology and expanding its applications in biological research, holding promise for future developments in protein detection and analysis.
蛋白质的准确分析在疾病诊断和治疗中起着重要作用。基于电化学适配体(EAB)的传感器以其高灵敏度和成本效益而闻名,是蛋白质分析的良好候选者。尽管它们具有优势,但缺乏对蛋白质分析优化条件的系统研究。例如,缔合和解离速率常数(k 和 k)、结合动力学(例如,τ)和热力学(K 值)对于传感目的具有重要意义,它们受到包括探针密度、温度或盐浓度在内的几个参数的极大影响。在这里,我们以凝血酶为测试对象,研究传感性能对这三个参数的依赖性。我们实现了 10 nm 的最佳探针密度,以支持在 8 nm - 62 nm 的探针距离范围内发生稳健的结合事件。对于温度条件,我们观察到在 45°C 时传感器的 k 和 k 常数均显示出最高值,从而产生中等的结合亲和力。整体传感器性能的最佳温度仍为 37°C。最后,我们证明蛋白质分析也极大地依赖于盐浓度以及离子价,添加 20 mM Mg 会使 k 和 k 值均显著增加。这些发现有助于推动生物传感器技术的发展,并扩大其在生物学研究中的应用,为蛋白质检测和分析的未来发展带来希望。