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.

中文翻译：

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比例荧光传感器阵列作为细菌病原体鉴定和分析的多功能工具

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存储和处理条件。基于小分子的传感器阵列提供了化学上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-羟基黄酮并研究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，可以有效地区分八个细菌种类并识别其革兰氏状态。因此，可以从同一数据集导出多个参数。此外，讨论了该传感器阵列的预测潜力，并展示了其分析超出用于训练矩阵的物种列表之外的未知样本的能力。提出的传感器阵列和分析策略为开发用于多参数分析的高级比率式传感器开辟了新途径。