摘要
为实现灵敏、快速、特异性地检测水环境中的17β-雌二醇(E2),以甘蔗渣衍生的碳量子点作为荧光信号,核酸适配体(aptamer)作为识别元素,构建了一种可以特异性检测E2的荧光探针,通过荧光强度的变化来定量检测E2并对检测效果进行分析。结果表明:核酸适配体能成功修饰在碳量子点的表面形成稳定的荧光探针;200 mg·L^(-1)的碳量子点与1μmol·L^(-1)的aptamer为荧光探针的最佳构建比例;相对荧光强度与0~10μg·L^(-1)质量浓度的雌二醇成正比,且最低检测限为0.42μg·L^(-1);该荧光探针可成功应用于水体中E2的检测,回收率为93.6%~106.5%。与传统的仪器检测方法相比,该荧光探针检测E2具有良好的选择性和重现性,还具有操作简单、成本低的优点。本研究成果可为核酸适配体构建的荧光探针在水环境检测中的推广应用提供参考。
In order to realize the sensitive,rapid and specific detection of 17β-estradiol in water environment,a fluorescent probe that can specifically detect E2 was built with bagasse derived carbon quantum dots as fluorescence signal and aptamer as recognition element,which could quantitatively detect E2 according to the change of fluorescence intensity,and the detection effect was also analyzed.The results show that the aptamer can successfully modify the surface of carbon quantum dots to form stable fluorescent probes.200 mg·L^(-1)carbon quantum dots and 1μmol·L^(-1)aptamer was the optimal ratio for fluorescence probe construction.The relative fluorescence intensity was proportional to the mass concentration of estradiol in the range of 0~10μg·L^(-1),and the lowest detection limit was 0.42μg·L^(-1).The fluorescence probe can be successfully applied to detect E2 in water with a recovery rate of 93.6%~106.5%.Compared with the traditional instrument detection method,the fluorescence probe has good selectivity and reproducibility for E2 detection,as well as the advantages of simple operation and low cost.The results of this study can provide a reference for the popularization and application of fluorescent probes constructed by aptamers in water environment detection.
作者
林禹晴
毛东鹏
胡加枫
王鑫垚
段鹏虎
朴云仙
LIN Yuqing;MAO Dongpeng;HU Jiafeng;WANG Xinyao;DUAN Penghu;PIAO Yunxian(College of New Energy and Environment,Jilin University,Changchun 130021,China;Key Laboratory of Groundwater Resources and Environment of the Ministry of Education,Changchun 130021,China)
出处
《环境工程学报》
CAS
CSCD
北大核心
2022年第11期3796-3804,共9页
Chinese Journal of Environmental Engineering
基金
国家自然科学基金资助项目(51809111)。