Research Center for Analytical Sciences, Department of Chemistry, Colleges of Sciences , Box 332, Northeastern University , Shenyang 110819 , China.
Anal Chem. 2019 May 7;91(9):6012-6018. doi: 10.1021/acs.analchem.9b00476. Epub 2019 Apr 16.
The discrimination of various sulfur -containing species helps us to deeply understand how sulfur affects cellular signaling and other physiological events. Herein, we present a three-dimensional sensor array based on simultaneous variation of the optical properties (fluorescence, light scattering, and UV-vis absorption) of gold-silver alloy nanocluster (AuAgNCs)-gold nanoparticle (AuNPs) composite for the rapid identification of 13 sulfur-containing species and sulfur-oxidizing bacteria. The sensor array is fabricated based on the strong coordination interactions between sulfur-containing compounds and AuAgNCs on the surface of AuNPs. The sulfur species of interest exhibit different affinities toward AuAgNCs and generate unique optical properties. These response patterns could divide the analytes into three categories including organic sulfide, inorganic sulfide, and thiols. Thirteen types of sulfur species including cystine, methionine, GSSG, S, SO, SO, SO, SO, SO, GSH, N-acetyl-l-cysteine, homocysteine, and cysteine can be well distinguished by the sensor array with principal component analysis at 0.5 μM. Moreover, sulfur-oxidizing bacteria and nonsulfur bacteria can also be well discriminated at a level of OD = 0.005.
各种含硫物种的区分有助于我们深入了解硫如何影响细胞信号转导和其他生理事件。在此，我们提出了一种基于金-银合金纳米团簇（AuAgNCs）-金纳米颗粒（AuNPs）复合的三维传感器阵列，用于快速识别 13 种含硫物种和硫氧化细菌。传感器阵列是基于含硫化合物与 AuNPs 表面上的 AuAgNCs 之间的强配位相互作用构建的。感兴趣的硫物种对 AuAgNCs 表现出不同的亲和力，并产生独特的光学性质。这些响应模式可以将分析物分为三类，包括有机硫化物、无机硫化物和硫醇。该传感器阵列可以在 0.5 μM 下通过主成分分析将包括胱氨酸、蛋氨酸、GSSG、S、SO、SO、SO、SO、SO、GSH、N-乙酰-l-半胱氨酸、同型半胱氨酸和半胱氨酸在内的 13 种硫物种进行很好地区分。此外，在 OD = 0.005 的水平上，也可以很好地区分硫氧化细菌和非硫细菌。
