Zheng Huajun, Ni Dejiang, Yu Zhi, Liang Pei
College of Horticulture & Forestry Sciences, Huazhong Agricultural University, Key Laboratory of Horticultural Plant Biology, Ministry of Education, 430070 Wuhan, China.
College of Horticulture & Forestry Sciences, Huazhong Agricultural University, Key Laboratory of Horticultural Plant Biology, Ministry of Education, 430070 Wuhan, China.
Food Chem. 2017 Feb 15;217:511-516. doi: 10.1016/j.foodchem.2016.09.010. Epub 2016 Sep 6.
A kind of graphene oxide/silver (GO/Ag) nanocomposites with high Surface enhanced Raman scattering (SERS) activity were fabricated via a facile and green liquid phase reduction method. The synthesized materials were characterized in detail using various microscopic and spectroscopic techniques. In this method, the GO sheets worked as a holder which makes silver nanoparticles (AgNPs) aggregate to a particular morphology, and under a suitable dosage of silver ions, well-dispersed AgNPs on the surface of GO were obtained, which could generate more "hot spots" of SERS. Moreover, SERS technique based on the obtained GO/Ag nanocomposites was used as an effective way to detect l-Theanine. The detection limit was estimated to be as low as 10(-7)M, and a multivariate linear regression model for the concentration of l-Theanine was established. The optimal fitting equation is Y=5.6765+0.0307X1458-0.0267X1251.
通过一种简便的绿色液相还原法制备了一种具有高表面增强拉曼散射(SERS)活性的氧化石墨烯/银(GO/Ag)纳米复合材料。使用各种显微镜和光谱技术对合成材料进行了详细表征。在该方法中,氧化石墨烯片作为载体,使银纳米颗粒(AgNPs)聚集成特定形态,并且在合适剂量的银离子作用下,在氧化石墨烯表面获得了分散良好的AgNPs,其可以产生更多的SERS“热点”。此外,基于所获得的GO/Ag纳米复合材料的SERS技术被用作检测L-茶氨酸的有效方法。检测限估计低至10(-7)M,并建立了L-茶氨酸浓度的多元线性回归模型。最佳拟合方程为Y = 5.6765 + 0.0307X1458 - 0.0267X1251。