He Lili, Kim Nam-Jung, Li Hao, Hu Zhiqiang, Lin Mengshi
Food Science Program, Division of Food Systems and Bioengineering, University of Missouri, Columbia, Missouri 65211, USA.
J Agric Food Chem. 2008 Nov 12;56(21):9843-7. doi: 10.1021/jf801969v. Epub 2008 Oct 2.
The safety of imported seafood products because of the contamination of prohibited substances, including crystal violet (CV) and malachite green (MG), raised a great deal of concern in the United States. In this study, a fractal-like gold nanostructure was developed through a self-assembly process and the feasibility of using surface-enhanced Raman spectroscopy (SERS) coupled with this nanostructure for detection of CV, MG, and their mixture (1:1) was explored. SERS was capable of characterizing and differentiating CV, MG, and their mixture on fractal-like gold nanostructures quickly and accurately. The enhancement factor of the gold nanostructures could reach an impressive level of approximately 4 x 10(7), and the lowest detectable concentration for the dye molecules was at approximately 0.2 ppb level. These results indicate that SERS coupled with fractal-like gold nanostructures holds a great potential as a rapid and ultra-sensitive method for detecting trace amounts of prohibited substances in contaminated food samples.
由于包括结晶紫（CV）和孔雀石绿（MG）在内的违禁物质污染，进口海产品的安全性在美国引发了诸多关注。在本研究中，通过自组装过程制备了一种类分形金纳米结构，并探索了将表面增强拉曼光谱（SERS）与该纳米结构联用检测CV、MG及其混合物（1:1）的可行性。SERS能够快速、准确地表征和区分类分形金纳米结构上的CV、MG及其混合物。金纳米结构的增强因子可达约4×10⁷这一可观水平，染料分子的最低可检测浓度约为0.2 ppb。这些结果表明，SERS与类分形金纳米结构联用作为一种快速、超灵敏的方法，在检测受污染食品样品中痕量违禁物质方面具有巨大潜力。
