School of Materials and Chemical Engineering, Xi'an Technological University, Xi'an, 710021, People's Republic of China.
Bioinspired Engineering and Biomechanics Center (BEBC), Xi'an Jiaotong University, Xi'an, 710049, People's Republic of China.
Mikrochim Acta. 2024 Oct 7;191(11):650. doi: 10.1007/s00604-024-06730-5.
Helicobacter pylori (Hp) prevail globally as the primary cause of gastritis, gastric ulcer, and potential gastric cancer, highlighting the need for rapid and precise point-of-care (POC) detection of Hp nucleic acid. Upconversion nanoparticle-based lateral flow assay (UCNPs-LFA) exhibit great potential in POC detection, due to their high optical stability and absence of background fluorescence. However, insufficient sensitivity for nucleic acid detection remains a key challenge. This study systematically optimizes UCNPs-LFA by focusing on target capture, signal transduction, signal separation, and signal analysis, to enhance its detection capabilities for Hp nucleic acid. The optimized UCNPs-LFA platform features a significantly decreased detection limit, a broadened detection range, and high reliability. Results demonstrate that the limit of detection (LOD) is 25 fM, a 10-fold improvement over the initial platform. This systematic optimization strategy is versatile and can be applied to optimize other nanoparticle-based LFAs.
幽门螺杆菌（Hp）作为全球范围内胃炎、胃溃疡和潜在胃癌的主要病因，强调了对幽门螺杆菌核酸进行快速、精确的即时检测（POC）的必要性。上转换纳米粒子侧向流动分析（UCNPs-LFA）由于其高光学稳定性和无背景荧光，在 POC 检测中具有很大的潜力。然而，核酸检测的灵敏度不足仍然是一个关键挑战。本研究通过聚焦于目标捕获、信号转导、信号分离和信号分析，系统地优化了 UCNPs-LFA，以增强其对幽门螺杆菌核酸的检测能力。优化后的 UCNPs-LFA 平台具有更低的检测限、更宽的检测范围和更高的可靠性。结果表明，检测限（LOD）为 25 fM，比初始平台提高了 10 倍。这种系统优化策略具有通用性，可以应用于优化其他基于纳米粒子的 LFAs。
