Highly selective detection of cellular guanine and xanthine by polyoxometalate modified 3D graphene foam
Highly selective detection of cellular guanine and xanthine by polyoxometalate modified 3D graphene foam
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多金属氧酸盐改性 3D 石墨烯泡沫高选择性检测细胞鸟嘌呤和黄嘌呤
DOI：
10.1016/j.electacta.2015.03.222
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发表时间：
2015-06
影响因子：
6.6
通讯作者：
Dong-Mei Wu
中科院分区：
文献类型：
--
作者：
Guang-Gang Gao;Yun-Feng Qiu;Shu-Meng Zhang;Dong-Mei Wu
多金属氧酸盐（POM）作为高效的电化学催化组分被成功负载在三维石墨烯泡沫（3DGF）上，形成POM@3DGF的新型POM基碳材料。首次将POMs负载到3DGF基质上作为高选择性电化学生物传感器，可以同时检测黄嘌呤（Xan）和鸟嘌呤（Gua）并分离电化学信号。在 pH = 2.0 缓冲溶液中，分别在约 1.05 和 1.13 V 处观察到归因于 Xan 和 Gua 碱基的两个氧化信号，这是之前报道的 1D 碳纳米管或 2D 石墨烯修饰 GCE 无法单独观察到的。此外，POM@3DGF修饰的GCE可用于检测MCF-7细胞裂解物中的Xan和Gua碱基，扩展了电化学方法检测细胞中嘌呤的种类。我们的研究为基于 POM 的碳材料精确电化学测定细胞嘌呤开辟了一条新途径。
Polyoxometalates (POMs) as efficient electrochemical catalytic components were successfully loaded on three-dimensional graphene foam (3DGF) forming novel POM-based carbon-material of POM@3DGF. Being the first time, POMs were loaded onto 3DGF matrix as a highly selective electrochemical biosensor, by which xanthine (Xan) and guanine (Gua) can be detected simultaneously with separated electrochemical signals. At pH = 2.0 buffer solution, two oxidation signals ascribed to Xan and Gua bases were observed at about 1.05 and 1.13 V respectively, which could not be observed separately by previous reported 1D carbon nanotube or 2D graphene modified GCEs. Furthermore, POM@3DGF modified GCE can be used to detect Xan and Gua bases in MCF-7 cell lysates, which extends the detection species of purines in cells by electrochemical approach. Our study opens a new avenue to accurate electrochemical assay of cellular purines by POMs-based carbon-materials.
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影响因子：
2.9
作者：
Guang-gang Gao;Guo-Biao Xu;Jin-lian Li;Jiwen Cui;Dongmei Wu;H. Qiu
通讯作者：
Guang-gang Gao;Guo-Biao Xu;Jin-lian Li;Jiwen Cui;Dongmei Wu;H. Qiu
制造金属纳米颗粒/多金属氧酸盐/石墨烯三组分纳米杂化物的通用绿色策略：增强的电催化性能
影响因子：
--
作者：
Liu, Rongji;Li, Shiwen;Zhi, Linjie
通讯作者：
Zhi, Linjie
影响因子：
3
作者：
H. Simmonds;J. Cameron;T. Barratt;M. Dillon;S. R. Meadow;R. Trompeter
通讯作者：
H. Simmonds;J. Cameron;T. Barratt;M. Dillon;S. R. Meadow;R. Trompeter
影响因子：
64.8
作者：
R. Watts;K. Engelman;J. Klinenberg;J. Seegmiller;A. Sjoerdsma
通讯作者：
R. Watts;K. Engelman;J. Klinenberg;J. Seegmiller;A. Sjoerdsma
影响因子：
15
作者：
Li, Haolong;Pang, Shuping;Bubeck, Christoph
通讯作者：
Bubeck, Christoph