College of Materials, College of Energy, State Key Laboratory for Physical Chemistry of Solid Surfaces, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China.
Scientific Research Foundation of State Key Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, Xiamen 361005, China.
ACS Appl Mater Interfaces. 2024 Sep 11;16(36):48139-48146. doi: 10.1021/acsami.4c10817. Epub 2024 Aug 28.
Traditional diagnostic methods, such as blood tests, are invasive and time-consuming, while sweat biomarkers offer a rapid physiological assessment. Surface-enhanced Raman spectroscopy (SERS) has garnered significant attention in sweat analysis because of its high sensitivity, label-free nature, and nondestructive properties. However, challenges related to substrate reproducibility and interference from the biological matrix persist with SERS. This study developed a novel ratio-based 3D hydrogel SERS chip, providing a noninvasive solution for real-time monitoring of pH and glucose levels in sweat. Encapsulating the probe molecule (4-MBN) in nanoscale gaps to form gold nanoflower-like nanotags with internal standards and integrating them into an agarose hydrogel to create a 3D flexible SERS substrate significantly enhances the reproducibility and stability of sweat analysis. Gap-Au nanopetals modified with probe molecules are uniformly dispersed throughout the porous hydrogel structure, facilitating the effective detection of the pH and glucose in sweat. The 3D hydrogel SERS chip demonstrates a strong linear relationship in pH and glucose detection, with a pH response range of 5.5-8.0 and a glucose detection range of 0.01-5 mM, with values of 0.9973 and 0.9923, respectively. In actual sweat samples, the maximum error in pH detection accuracy is only 1.13%, with a lower glucose detection limit of 0.25 mM. This study suggests that the ratio-based 3D hydrogel SERS chip provides convenient, reliable, and rapid detection capabilities with substantial application potential for analyzing body fluid pH and glucose.
传统的诊断方法,如血液检测,具有侵入性且耗时,而汗液生物标志物则提供了快速的生理评估。表面增强拉曼光谱(SERS)因其高灵敏度、无标记特性和非破坏性而在汗液分析中受到广泛关注。然而,SERS 仍然存在与基底重现性和生物基质干扰相关的挑战。本研究开发了一种新型基于比率的 3D 水凝胶 SERS 芯片,为实时监测汗液中的 pH 值和葡萄糖水平提供了一种非侵入性的解决方案。将探针分子(4-MBN)封装在纳米级间隙中,形成具有内部标准的金纳米花状纳米标签,并将其集成到琼脂糖水凝胶中,制成 3D 柔性 SERS 基底,显著提高了汗液分析的重现性和稳定性。用探针分子修饰的间隙-Au 纳米瓣均匀分散在多孔水凝胶结构中,有利于有效检测汗液中的 pH 值和葡萄糖。3D 水凝胶 SERS 芯片在 pH 值和葡萄糖检测方面表现出很强的线性关系,pH 值响应范围为 5.5-8.0,葡萄糖检测范围为 0.01-5 mM,相关系数分别为 0.9973 和 0.9923。在实际的汗液样本中,pH 值检测精度的最大误差仅为 1.13%,葡萄糖检测下限低至 0.25 mM。本研究表明,基于比率的 3D 水凝胶 SERS 芯片提供了方便、可靠和快速的检测能力,在分析体液 pH 值和葡萄糖方面具有很大的应用潜力。