Honeycomb-Inspired Surface-Enhanced Raman Scattering Microarray for Large-Area Automated Testing of Urease in Saliva Samples

• DOI: 10.1021/acssensors.4c00006
• Publication Date: 2024-04-09T18:45:23Z
• Authors: Guoqian Li; Jinkun Fan; Ting Zhang; Ting Gao; Yuying Chong; Minghui Liang; Shijian Liang; Bo Hu; Langlang Yi; Lei Zhao; Helene Castel
• Keywords: Surface-Enhanced Raman Spectroscopy

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 detection time minimize human error. The present SERS substrates for sample are time-consuming subject high error, which not conducive combination automated testing. Here, a novel honeycomb-inspired microarray designed large-area urease saliva samples decorated hexagonal microwells homogeneous distribution silver nanostars. Compared other four common substrates, optimal exhibits best performance. RSD 100 spectra continuously collected from 6.56%, one reduced 5 min 10 s. There noteworthy linear relationship R2 0.982 between intensity concentration, indicating quantitative capability activity samples. microarray, testing, provides new way technology can be used applications.