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ZnCPs@AuNCs复合纳米材料制备及精氨酸定量检测的研究

Preparation of ZnCPs@AuNCs composite nanomaterials and quantitative detection of arginine
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摘要 目的 制备锌配位聚合物/金纳米簇(ZnCPs@AuNCs)复合纳米材料并为精氨酸的定量检测提供方法指导。方法 以谷胱甘肽介导合成金纳米团簇,并进一步合成ZnCPs@AuNCs纳米复合材料,检测其荧光性,并采用透射电子显微镜、紫外可见分光光度计、荧光分光光度计等进行表征,分析复合材料的灵敏性、特异性和重复性。结果 制备的ZnCPs@AuNCs纳米复合材料紫外照射下有明显橙色荧光,本方法对精氨酸(Arg)的检出限为15.4μM,使用血清样品进行的加标和回收率为98.62%至110.20%,相对标准偏差(RSD)小于2.05%。结论 制备的ZnCPs@AuNCs纳米复合材料具有良好的荧光稳定性,针对Arg的荧光检测方法灵敏度高、特异性好、重复性能好,为荧光纳米材料在医学上的应用提供一定理论支持。 Objective To prepare zinc coordination polymers/gold nanoclusters(ZnCPs@AuNCs)composite nanomaterials and provide methodological guidance for the quantitative detection of arginine.Methods The synthesis of gold nanoclusters was mediated by glutathione,and the ZnCPs@AuNCs nanocomposites were further synthesized to detect the fluorescence,and characterized by transmission electron microscopy,UV-visible spectrophotometry,fluorescence spectrophotometry,etc.The sensitivity,specificity and reproducibility of the composites were analyzed.Results The prepared ZnCPs@AuNCs nanocomposites showed obvious orange fluorescence under UV irradiation,and the detection limit of this method was 15.4μM for arginine(Arg),and the spiked recoveries ranged from 98.62%to 110.20%with the relative standard deviations(RSDs)of less than 2.05%using serum samples.Conclusion The prepared ZnCPs@AuNCs nanocomposites have good fluorescence stability,and the fluorescence detection method for arginine has high sensitivity,good specificity,and good reproducibility,which provides certain theoretical support for the application of fluorescent nanomaterials in medicine.
作者 薛江姗 穆晋 赵燕青 贾琼 杨照微 王海 XUE Jiangshan;MU Jin;ZHAO Yanqing;JIA Qiong;YANG Zhaowei;WANG Hai(Department of Laboratory,China-Japan Union Hospital of Jilin University,Changchun 130033,China;College of Chemistry,Jilin University,Changchun 130012,China)
出处 《中国实验诊断学》 2025年第5期592-598,共7页 Chinese Journal of Laboratory Diagnosis
基金 吉林大学横向课题(2023YX0290)。
关键词 纳米材料 金纳米团簇 荧光检测 精氨酸 定量检测 Nanomaterials Gold nanoclusters Fluorescence detection Arginine Quantitative detection
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