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Two-step process for programmable removal of oxygen functionalities of graphene oxide: functional, structural and electrical characteristics

机译:分两步工艺以可编程方式去除氧化石墨烯的氧官能团:功能,结构和电气特性

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Here we report a two-step programmable reduction of graphene oxide (GO) which was synthesized by oxidation of graphite. X-Ray photoelectron spectroscopic (XPS) analysis confirmed the synthesis of exfoliated graphene oxide (GO) by introduction of oxygen as carboxylic (-COOH), epoxy (C-O-C) and hydroxyl (-OH) groups. The first step of GO reduction was achieved separately by (i) hydrazine (rGO(11)) and (ii) sodium borohydride (rGO(21)). Soda lime was used in the second-stage reduction of (a) hydrazine reduced GO (rGO(12)) and (b) sodium borohydride reduced GO (rGO(22)) to remove most of the remaining carboxylic functionalities from the rGO(11) and rGO(21) surface. XPS spectra of rGO(21) showed a decrease (38 to 30%) in the oxygen whereas the further reduction of rGO(21) with soda lime can further reduce the oxygen content. Quantitative analysis of C(=O) OX in GO shows about 43% of carbon atoms (C 1s signal) as carboxylic functionalities whereas the reduction of the GO with sodium borohydride reduced this signal to about 10%. The use of soda lime for both rGO(11) and rGO(21) further reduced the amount of carboxylic functionalities. An increase in the proportion of carbon atoms as sp(2) and decrease in the oxygen functionalities were controlled in the two-step reduction. A good correlation in the conductivity of reduced GO with the percentage proportion of sp(2) carbon was observed.
机译:在这里,我们报告了通过石墨氧化合成的氧化石墨烯(GO)的两步可编程还原。 X射线光电子能谱(XPS)分析证实了通过引入氧为羧基(-COOH),环氧基(C-O-C)和羟基(-OH)来合成剥落的氧化石墨烯(GO)。 GO还原的第一步是分别通过(i)肼(rGO(11))和(ii)硼氢化钠(rGO(21))实现的。苏打石灰用于(a)肼还原的GO(rGO(12))和(b)硼氢化钠还原的GO(rGO(22))的第二阶段还原中,以除去rGO中的大部分剩余羧基官能团(11) )和rGO(21)表面。 rGO(21)的XPS光谱显示氧减少了(38%至30%),而苏打石灰进一步降低rGO(21)可以进一步减少氧含量。对GO中C(= O)OX的定量分析显示,约有43%的碳原子(C 1s信号)为羧基官能团,而用硼氢化钠还原GO会使该信号减少至约10%。在rGO(11)和rGO(21)中使用苏打石灰可进一步减少羧基官能团的数量。在两步还原中控制了碳原子作为sp(2)的比例的增加和氧官能度的降低。观察到还原的GO的电导率与sp(2)碳的百分比具有良好的相关性。

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