Song Jia, Zhang Yuanyi, Huang Yiqun, Fan Yuxia, Lai Keqiang
College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China.
School of Chemistry & Biological Engineering, Changsha University of Science & Technology, Changsha 410076, Hunan, China.
Nanomaterials (Basel). 2018 Nov 23;8(12):967. doi: 10.3390/nano8120967.
In this work, surface-enhanced Raman spectroscopy (SERS) technology coupled with Ag nanowires was shown to be a promising tool in the detection of tartrazine in large yellow croaker for the first time. Ag nanowires with a uniform diameter were fabricated by an efficient and manageable polyol method. The partial least square model was established for the quantitative analysis of tartrazine, which showed a relatively high linear correlation between actual and predicted concentrations of standard tartrazine solutions. An optimal sample preparation method was also selected and used to extract tartrazine from large yellow croaker within 20 min. The lowest concentration detected was 20.38 ng/cm², which fully meets the requirements of tartrazine testing in aquatic products. This study indicated that SERS technology combined with the as-prepared Ag nanowires could detect tartrazine sensitively and provide an easily operable and time-saving way to monitor tartrazine in large yellow croaker.
在这项工作中,首次证明表面增强拉曼光谱(SERS)技术与银纳米线相结合是检测大黄鱼中柠檬黄的一种有前途的工具。通过一种高效且可控的多元醇方法制备了直径均匀的银纳米线。建立了用于柠檬黄定量分析的偏最小二乘模型,该模型显示标准柠檬黄溶液的实际浓度与预测浓度之间具有较高的线性相关性。还选择了一种最佳的样品制备方法,并用于在20分钟内从大黄鱼中提取柠檬黄。检测到的最低浓度为20.38 ng/cm²,完全符合水产品中柠檬黄检测的要求。这项研究表明,SERS技术与所制备的银纳米线相结合能够灵敏地检测柠檬黄,并为监测大黄鱼中的柠檬黄提供一种易于操作且省时的方法。