Abstract：
Surface-enhanced Raman scattering (SERS) technology, as an important analytical tool, has been widely applied in the field of chemical and biomedical sensing. Automated testing is often combined with biochemical analysis technologies to shorten the detection time and minimize human error. The present SERS substrates for sample detection are time-consuming and subject to high human error, which are not conducive to the combination of SERS and automated testing. Here, a novel honeycomb-inspired SERS microarray is designed for large-area automated testing of urease in saliva samples to shorten the detection time and minimize human error. The honeycomb-inspired SERS microarray is decorated with hexagonal microwells and a homogeneous distribution of silver nanostars. Compared with the other four common SERS substrates, the optimal honeycomb-inspired SERS microarray exhibits the best SERS performance. The RSD of 100 SERS spectra continuously collected from saliva samples is 6.56%, and the time of one detection is reduced from 5 min to 10 s. There is a noteworthy linear relationship with a R2 of 0.982 between SERS intensity and urease concentration, indicating the quantitative detection capability of the urease activity in saliva samples. The honeycomb-inspired SERS microarray, combined with automated testing, provides a new way in which SERS technology can be widely used in biomedical applications.
摘要：
表面增强拉曼散射(SERS)技术,作为一种重要的分析工具，在化学和生物医学传感领域有着广泛的应用。自动测试通常与生化分析技术相结合，以缩短检测时间并最大程度地减少人为错误。目前用于样品检测的SERS基底耗时且容易受到高人为误差的影响。不利于SERS与自动化测试的结合。这里,一种新颖的蜂巢式SERS微阵列设计用于唾液样品中尿素酶的大面积自动化测试，以缩短检测时间并最大程度地减少人为错误。蜂巢风格的SERS微阵列装饰有六边形微孔和均匀分布的银纳米星。与其他四种常见的SERS基底相比，最佳的蜂巢式SERS微阵列表现出最佳的SERS性能。连续采集唾液样本的100个SERS光谱的RSD为6.56%,并且一次检测的时间从5分钟减少到10秒。SERS强度和脲酶浓度之间的R2为0.982，存在值得注意的线性关系。表明唾液样品中脲酶活性的定量检测能力。蜂巢风格的SERS微阵列,结合自动化测试，为SERS技术在生物医学领域的广泛应用提供了新的途径。
