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.

中文翻译：

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蜂窝状表面增强拉曼散射微阵列用于唾液样品中脲酶的大面积自动检测

表面增强拉曼散射（SERS）技术作为一种重要的分析工具，已广泛应用于化学和生物医学传感领域。自动化测试通常与生化分析技术相结合，以缩短检测时间并最大限度地减少人为错误。目前用于样品检测的SERS底物耗时长且人为错误率高，不利于SERS与自动化测试的结合。在这里，一种新型的蜂窝状 SERS 微阵列被设计用于唾液样本中脲酶的大面积自动测试，以缩短检测时间并最大限度地减少人为错误。蜂窝状 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，最佳的蜂窝状SERS微阵列表现出最佳的SERS性能。唾液样本连续采集100个SERS光谱，RSD为6.56%，一次检测时间由5 min缩短至10 s。 SERS强度与脲酶浓度之间存在显着的线性关系，R ²为0.982，表明唾液样品中脲酶活性的定量检测能力。蜂窝状SERS微阵列与自动化测试相结合，为SERS技术广泛应用于生物医学应用提供了新途径。