Department of Pharmaceutical Sciences , University of Nebraska Medical Center , Omaha , Nebraska 68198-6858 , United States.
Department of Pathology and Microbiology , University of Nebraska Medical Center , Omaha , Nebraska 68198-5900 , United States.
ACS Sens. 2018 Mar 23;3(3):700-708. doi: 10.1021/acssensors.8b00025. Epub 2018 Mar 9.
Rapid and reliable identification of pathogenic microorganisms is of great importance for human and animal health. Most conventional approaches are time-consuming and require expensive reagents, sophisticated equipment, trained personnel, and special storage and handling conditions. Sensor arrays based on small molecules offer a chemically stable and cost-effective alternative. Here we present a ratiometric fluorescent sensor array based on the derivatives of 2-(4'- N, N-dimethylamino)-3-hydroxyflavone and investigate its ability to provide a dual-channel ratiometric response. We demonstrate that, by using discriminant analysis of the sensor array responses, it is possible to effectively distinguish between eight bacterial species and recognize their Gram status. Thus, multiple parameters can be derived from the same data set. Moreover, the predictive potential of this sensor array is discussed, and its ability to analyze unknown samples beyond the list of species used for the training matrix is demonstrated. The proposed sensor array and analysis strategies open new avenues for the development of advanced ratiometric sensors for multiparametric analysis.
快速可靠地鉴定病原微生物对人类和动物健康至关重要。大多数常规方法耗时且需要昂贵的试剂、复杂的设备、训练有素的人员以及特殊的储存和处理条件。基于小分子的传感器阵列提供了一种化学稳定且具有成本效益的替代方案。在这里，我们提出了一种基于 2-(4'-N,N-二甲基氨基)-3-羟基黄酮衍生物的比率荧光传感器阵列，并研究了其提供双通道比率响应的能力。我们证明，通过对传感器阵列响应进行判别分析，可以有效地区分八种细菌物种并识别它们的革兰氏状态。因此，可以从同一数据集导出多个参数。此外，还讨论了该传感器阵列的预测潜力，并展示了其分析未知样本的能力，这些样本超出了用于训练矩阵的物种列表。所提出的传感器阵列和分析策略为开发用于多参数分析的先进比率传感器开辟了新途径。
