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用于快速检测糖果中诱惑红的高重现性和高灵敏度银纳米棒阵列。

Highly reproducible and sensitive silver nanorod array for the rapid detection of Allura Red in candy.

机构信息

Jiangsu Key Laboratory of Advanced Laser Materials and Devices, School of Physics and Electronic Engineering, Jiangsu Normal University, Xuzhou, Jiangsu 221116, China; Jiangsu Collaborative Innovation Center of Advanced Laser Technology and Emerging Industry, Jiangsu Normal University, Xuzhou, Jiangsu 221116, China.

Department of Physics and Astronomy, Nanoscale Science and Engineering Center, University of Georgia, Athens, GA 30602, United States.

出版信息

Spectrochim Acta A Mol Biomol Spectrosc. 2018 Apr 15;195:165-171. doi: 10.1016/j.saa.2018.01.072. Epub 2018 Jan 31.

Abstract

Allura Red (AR) is a highly stable synthetic red azo dye, which is widely used in the food industry to dye food and increase its attraction to consumers. However, the excessive consumption of AR can result in adverse health effects to humans. Therefore, a highly reproducible silver nanorod (AgNR) array was developed for surface enhanced Raman scattering (SERS) detection of AR in candy. The relative standard deviation (RSD) of AgNR substrate obtained from the same batch and different batches were 5.7% and 11.0%, respectively, demonstrating the high reproducibility. Using these highly reproducible AgNR arrays as the SERS substrates, AR was detected successfully, and its characteristic peaks were assigned by the density function theory (DFT) calculation. The limit of detection (LOD) of AR was determined to be 0.05 mg/L with a wide linear range of 0.8-100 mg/L. Furthermore, the AgNR SERS arrays can detect AR directly in different candy samples within 3 min without any complicated pretreatment. These results suggest the AgNR array can be used for rapid and qualitative SERS detection of AR, holding a great promise for expanding SERS application in food safety control field.

摘要

诱惑红(AR)是一种高稳定性的合成红色偶氮染料,广泛用于食品工业中给食品染色,增加其对消费者的吸引力。然而,过量食用 AR 可能会对人体健康造成不良影响。因此,开发了一种高度重现性的银纳米棒(AgNR)阵列,用于糖果中 AR 的表面增强拉曼散射(SERS)检测。从同一批和不同批获得的 AgNR 衬底的相对标准偏差(RSD)分别为 5.7%和 11.0%,表明具有很高的重现性。使用这些高度重现性的 AgNR 阵列作为 SERS 基底,成功地检测到了 AR,并且通过密度泛函理论(DFT)计算对其特征峰进行了分配。AR 的检测限(LOD)确定为 0.05mg/L,线性范围为 0.8-100mg/L。此外,AgNR SERS 阵列可以在 3 分钟内直接检测不同糖果样品中的 AR,无需任何复杂的预处理。这些结果表明,AgNR 阵列可用于快速定性 SERS 检测 AR,有望扩大 SERS 在食品安全控制领域的应用。

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