l-Cysteine-modified silver-functionalized silica-based material as an efficient solid-phase extraction adsorbent for the determination of bisphenol A.

l-Cysteine-modified silver-functionalized silica-based material as an efficient solid-phase extraction adsorbent for the determination of bisphenol A.
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DOI:
10.1002/jssc.201700817
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发表时间:
2018-02
影响因子:
3.1
通讯作者:
Yuanyuan Li;Nan Zhu;Bingxiang Li;Tong Chen;Yulong Ma;Qiang Li
Yuanyuan Li;Nan Zhu;Bingxiang Li;Tong Chen;Yulong Ma;Qiang Li
中科院分区:
工程技术3区
文献类型:
--
作者:
Yuanyuan Li;Nan Zhu;Bingxiang Li;Tong Chen;Yulong Ma;Qiang Li

文献摘要

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以银纳米粒子包覆二氧化硅微球为载体,合成了一种具有核壳结构的新型银功能化二氧化硅材料,并利用强结合的L-半胱氨酸对银纳米粒子进行了修饰。通过扫描电子显微镜和FTIR光谱表征l-半胱氨酸-银@二氧化硅。建立了一种基于L-半胱氨酸-银@硅胶的固相萃取方法,并成功地用于双酚A的测定。结果表明,L-半胱氨酸-银@硅胶对双酚A具有良好的富集能力,最大吸附饱和度为20.93 mg/g。此外,由于二氧化硅表面上存在银纳米颗粒,因此获得了短的吸附平衡时间。在优化条件下,双酚A在0.4 ~ 4.0 μM范围内线性关系良好(R2 > 0.99),检测限为1.15 ng/mL。自来水和牛奶样品中双酚A的加标回收率在85-102%之间,相对标准偏差小于5.2%(n = 3),适用于复杂样品中双酚A的分析。
A new silver-functionalized silica-based material with a core-shell structure based on silver nanoparticle-coated silica spheres was synthesized, and silver nanoparticles were modified using strongly bound l-cysteine. l-Cysteine-silver@silica was characterized by scanning electron microscopy and FTIR spectroscopy. Then, a solid-phase extraction method based on l-cysteine-silver@silica was developed and successfully used for bisphenol A determination prior to HPLC analysis. The results showed that the l-cysteine-silver@silica as an adsorbent exhibited good enrichment capability for bisphenol A, and the maximum adsorption saturation was 20.93 mg/g. Moreover, a short adsorption equilibrium time was obtained due to the presence of silver nanoparticles on the surface of the silica. The extraction efficiencies were then optimized by varying the eluents and pH. Under the optimized conditions, good linearity for bisphenol A was obtained in the range from 0.4 to 4.0 μM (R2 > 0.99) with a low limit of detection (1.15 ng/mL). The spiked recoveries from tap water and milk samples were satisfactory (85-102%) with relative standard deviations below 5.2% (n = 3), which indicated that the method was suitable for the analysis of bisphenol A in complex samples.