Interdisciplinary Research Center of Biology & Catalysis, School of Life Sciences, Northwestern Polytechnical University, Xi'an 710072, China.
Xingzichuan Drilling Company, Yanchang Oil Mine Management Bureau, Yanan 717400, China.
Anal Methods. 2024 Aug 29;16(34):5812-5819. doi: 10.1039/d4ay00903g.
The early detection of bacterial species plays a crucial role in patient prognosis and the development of effective therapeutic regimens. This study introduces an accessible and promising colorimetric sensor array designed to classify gram-positive (G+) and gram-negative (G-) bacterial species. The classification relies on 6 chemical ligands with dimethylamino/amino groups as sensing elements and silver nanotriangles as colorimetric probes. Using these specific sensor arrays, we successfully differentiated G- and G+ bacterial species and discriminated individual bacterial strains, and the sensors exhibited remarkable reproducibility and high sensitivity. Moreover, the sensor array can identify bacterial mixtures and bacteria at varying concentrations, underscoring its versatility. In summary, this sensor array offers an effective tool for bacterial analysis with promising applications in the field of biomedical diagnostics.
细菌种类的早期检测对患者预后和有效治疗方案的制定起着至关重要的作用。本研究介绍了一种易于使用且有前景的比色传感器阵列,用于对革兰氏阳性(G+)和革兰氏阴性(G-)细菌种类进行分类。该分类依赖于 6 种具有二甲氨基/氨基的化学配体作为传感元件和银纳米三角形作为比色探针。使用这些特定的传感器阵列,我们成功地区分了 G-和 G+细菌种类,并区分了个别细菌菌株,而且传感器表现出了显著的重现性和高灵敏度。此外,该传感器阵列可以识别细菌混合物和不同浓度的细菌,突出了其多功能性。总的来说,这种传感器阵列为细菌分析提供了一种有效的工具,有望在生物医学诊断领域得到应用。