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Fluorescent binary ensemble with pattern recognition ability for identifying multiple metalloproteins with applications in serum and urine

机译:具有模式识别能力的荧光二元组合能力,用于鉴定多种金属蛋白的血清和尿液中的应用

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摘要

Discrimination and identification of multiple metalloproteins by a single sensor system are challenging. Based on the strategy of surfactant assembly modulation effect, a strong discriminative sensor based on a pyrene-derived fluorophore and an anionic surfactant assembly was developed. A cholic acid-modified pyrene derivative, 1, was synthesized and it can form supramolecular aggregates in aqueous solution. Its fluorescence emission could be well modulated from monomer-dominant to monomer-excimer coemission by the anionic surfactant, sodium dodecylbenzene sulfonate (SDBS). Fluorescence measurements found that the binary ensemble based on 1/SDBS exhibited cross-reactive sensing behavior towards different metalloproteins, and principal component analysis revealed that the present ensemble sensor could discriminate 7 different metalloproteins in aqueous solution. Moreover, the discrimination of metalloproteins could be further applied in biological fluids such as serum or urine.
机译:单个传感器系统的多种金属蛋白的辨别和鉴定是具有挑战性的。 基于表面活性剂组装调制效果的策略,开发了一种基于芘衍生的荧光团和阴离子表面活性剂组件的强鉴别传感器。 合成胆碱酸改性的芘衍生物,1,可在水溶液中形成超分子聚集体。 其荧光发射可以通过阴离子表面活性剂,十二烷基苯磺酸钠(SDB)的单体 - 促进剂加入单体 - 促进剂加入良好。 荧光测量结果发现,基于1 / SDB的二元组合表现出对不同金属蛋白的交叉反应性感测行为,并且主要成分分析显示目前的集合传感器可以在水溶液中区分7种不同的金属蛋白。 此外,金属蛋白的辨别可以进一步应用于生物液体,例如血清或尿液。

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  • 来源
    《RSC Advances》 |2017年第79期|共9页
  • 作者单位

    Shaanxi Normal Univ Key Lab Appl Surface &

    Colloid Chem Minist Educ Sch Chem &

    Chem Engn Xian 710062 Shaanxi Peoples R China;

    Shaanxi Normal Univ Key Lab Appl Surface &

    Colloid Chem Minist Educ Sch Chem &

    Chem Engn Xian 710062 Shaanxi Peoples R China;

    Shaanxi Normal Univ Coll Phys &

    Informat Technol Xian 710062 Shaanxi Peoples R China;

    Shaanxi Normal Univ Key Lab Appl Surface &

    Colloid Chem Minist Educ Sch Chem &

    Chem Engn Xian 710062 Shaanxi Peoples R China;

    Shaanxi Normal Univ Coll Phys &

    Informat Technol Xian 710062 Shaanxi Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 化学;
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