Ma Jinzhu, Lu Xuezi, Liu Song, Shi Yu-E, Cui Linfeng, Wang Zhe, Wang Henggang, Wang Zhenguang
Hebei Technology Innovation Center for Energy Conversion Materials and Devices, Hebei Key Laboratory of Inorganic Nanomaterials, Engineering Research Center of Thin Film Solar Cell Materials and Devices, College of Chemistry and Material Science, Hebei Normal University, No. 20Rd. East of 2nd Ring South, Yuhua District, Shijiazhuang, Hebei 050024, PR China; Key Laboratory of Medicinal Chemistry and Molecular Diagnosis, Ministry of Education, College of Chemistry & Materials Science, Hebei University, Baoding, 071002, China.
Tianjin Stomatological Hospital, No. 75 Dagu Road, Heping District, Tianjin, China.
Biosens Bioelectron. 2025 Nov 1;287:117652. doi: 10.1016/j.bios.2025.117652. Epub 2025 Jun 3.
Detection and discrimination aminoglycoside (AG) subtypes are crucial, which remains a formidable challenge. In this study, a sensor array for differentiating of AGs was developed. This was achieved by integrating the inhibitory effect of AGs on the acetylcholinesterase (AChE)-like activities of Al decorated MOF-808 (MOF-808-Al) and the thiol-response fluorescence of metal nanoclusters (NCs). MOF-808-Al exhibited AChE-like activities, which catalyzed the decomposition of AChE into thiocholine, ascribed to the synergistic effect of metal-OH and Lewis acid sites. Thiocholine quenched the green fluorescence of Au NCs by forming Au-S bonds. In contrast, the blue-emissive Cu NCs showed high resistance to thiocholine. AGs inhibited the AChE-like activities of MOF-808-Al through forming stronger interactions with metal and Lewis acid sites compared to acetylthiocholine. By analyzing the fluorescence changes of green- and blue-emissive metal NCs, a sensor array was constructed, and five subtypes of AGs were quantitatively detected and discriminated, with a limit of detection and limit of quantitation of 11.2 μM and 12.9 μM, respectively. The discrimination of mixed AGs in both buffer solutions and practical samples was also successfully achieved, indicating the great potential for practical applications.
检测和区分氨基糖苷类（AG）亚型至关重要，但这仍然是一项艰巨的挑战。在本研究中，开发了一种用于区分AGs的传感器阵列。这是通过整合AGs对Al修饰的MOF-808（MOF-808-Al）的类乙酰胆碱酯酶（AChE）活性的抑制作用以及金属纳米团簇（NCs）的硫醇响应荧光来实现的。MOF-808-Al表现出类AChE活性，它催化AChE分解为硫代胆碱，这归因于金属-OH和路易斯酸位点的协同作用。硫代胆碱通过形成Au-S键淬灭了Au NCs的绿色荧光。相比之下，发射蓝光的Cu NCs对硫代胆碱表现出高抗性。与乙酰硫代胆碱相比，AGs通过与金属和路易斯酸位点形成更强的相互作用来抑制MOF-808-Al的类AChE活性。通过分析发射绿色和蓝色荧光的金属NCs的荧光变化，构建了一种传感器阵列，并对五种AGs亚型进行了定量检测和区分，检测限和定量限分别为11.2 μM和12.9 μM。在缓冲溶液和实际样品中对混合AGs的区分也成功实现，表明其在实际应用中具有巨大潜力。
