光谱学与光谱分析, 2018, 38 (5): 1458, 网络出版: 2018-06-01  

水热法快速制备荧光氧化石墨烯量子点及其在细胞成像中的应用

Rapid Synthesis of Graphene Oxide Quantum Dots via Hydrothermal Strategy for Cell Imaging Application
作者单位
1 太原理工大学力学学院, 山西 太原 030024
2 华南农业大学材料与能源学院, 广东 广州 510624
摘要
作为一种新型荧光纳米材料, 氧化石墨烯量子点(GO QDs)凭借其良好的水溶性和生物相容性得到广泛的关注。 以氧化石墨烯为原料, 过氧化氢为氧化剂, 一步水热法在90 min内快速制备氧化石墨烯量子点, 实现了快速、 高效及绿色制备氧化石墨烯量子点。 所制备得到的氧化石墨烯量子点分布均匀, 透射电镜(TEM)图片表明氧化石墨烯量子点粒径分布在225~525 nm, 傅里叶红外光谱(FTIR)和X射线电子能谱(XPS)显示氧化石墨烯量子点表面含有大量的羟基、 羧基、 羰基等含氧功能团, 表明氧化石墨烯量子点具有很好的水溶性。 荧光发射光谱(PL)表明氧化石墨烯量子点具有激发波长依赖性。 基于其独特的纳米结构, 良好的光学性能和生物相容性, 氧化石墨烯量子点可替代传统荧光纳米材料应用于细胞成像。
Abstract
As a new type of fluorescent nanomaterials, graphene oxide quantum dots (GO QDs)have extensively captivated attention due to their excellent water solubility and biocompatibility. In this work, GO and hydrogen peroxide were chosen as source and oxidant, and one-pot hydrothermal approach was proposed to rapidly synthesize graphene oxide quantum dots (GO QDs) in 90 min, making a rapid, efficient and green strategy of synthesis of GO QDs. The as-prepared GO QDs showed uniform size distribution, and transmission electron microscopy (TEM) displayed that the diameter of GO QDs ranged from 225 to 525 nm. A large number of hydroxyl, carboxyl and carbonyl oxygen-containing functional groups were confirmed by Fourier transform infrared (FTIR) spectrum and X-ray photoelectron spectroscopy (XPS) analysis on the surface of GO QDs, indicating GO QDs present excellent water solubility. Photoluminescence (PL) spectra exhibited excitation-dependent photoluminescence emission of GO QDs. Based on the unique nanostructure, distinctive spectral properties and biocompatibility, GO QDs could be employed in cell imaging applications as a promising candidate of conventional fluorescent nanomaterials.

战岩, 俎鸿儒, 黄棣, 胡超凡. 水热法快速制备荧光氧化石墨烯量子点及其在细胞成像中的应用[J]. 光谱学与光谱分析, 2018, 38(5): 1458. ZHAN Yan, ZU Hong-ru, HUANG Di, HU Chao-fan. Rapid Synthesis of Graphene Oxide Quantum Dots via Hydrothermal Strategy for Cell Imaging Application[J]. Spectroscopy and Spectral Analysis, 2018, 38(5): 1458.

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