School of Biomedical Engineering (Suzhou), Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230026, China; CAS Key Lab of Bio-Medical Diagnostics, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, 215163, China.
CAS Key Lab of Bio-Medical Diagnostics, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, 215163, China.
Biosens Bioelectron. 2024 Jan 15;244:115798. doi: 10.1016/j.bios.2023.115798. Epub 2023 Oct 29.
Real-time digital polymerase chain reaction (qdPCR) provides enhanced precision in the field of molecular diagnostics by integrating absolute quantification with process information. However, the optimal reaction conditions are traditionally determined through multiple iterative of experiments. Therefore, we proposed a novel approach to precisely determine the optimal reaction conditions for qdPCR using a standard process, employing real-time fluorescence monitoring within microwells. The temperature-sensitive fluorophore intensity presented the real temperature of each microwell. This enabled us to determine the optimal denaturation and annealing time for qdPCR based on the corresponding critical temperatures derived from the melting curves and amplification efficiency, respectively. To confirm this method, we developed an ultrathin laminated chip (UTL chip) and chose a target that need to be absolutely quantitative. The UTL chip was designed using a fluid‒solid‒thermal coupling simulation model and exhibited a faster thermal response than a commercial dPCR chip. By leveraging our precise determination of reaction conditions and utilizing the UTL chip, 40 cycles of amplification were achieved within 18 min. This was accomplished by precisely controlling the denaturation temperature at 2 s and the annealing temperature at 10 s. Furthermore, the absolutely quantitative of DNA showed good correlation (R > 0.999) with the concentration gradient detection using the optimal reaction conditions with the UTL chip for qdPCR. Our proposed method can significantly improve the accuracy and efficiency of determining qdPCR conditions, which holds great promise for application in molecular diagnostics.
实时数字聚合酶链反应(qdPCR)通过将绝对定量与过程信息相结合,在分子诊断领域提供了更高的精度。然而,传统上最佳反应条件是通过多次实验迭代来确定的。因此,我们提出了一种新的方法,通过使用实时荧光监测微井中的标准过程,精确确定 qdPCR 的最佳反应条件。温度敏感荧光染料的强度呈现出每个微井的真实温度。这使我们能够根据熔解曲线和扩增效率分别得出的相应临界温度,确定 qdPCR 的最佳变性和退火时间。为了验证这种方法,我们开发了一种超薄层压芯片(UTL 芯片),并选择了一个需要绝对定量的目标。UTL 芯片使用流固热耦合模拟模型设计,其热响应速度比商用 dPCR 芯片更快。通过精确控制变性温度为 2 秒和退火温度为 10 秒,利用我们对反应条件的精确确定和使用 UTL 芯片,在 18 分钟内实现了 40 个扩增循环。此外,使用 UTL 芯片,根据最佳反应条件进行绝对定量的 DNA 与浓度梯度检测显示出良好的相关性(R>0.999)。我们提出的方法可以显著提高 qdPCR 条件确定的准确性和效率,在分子诊断中有很大的应用前景。