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基于银基底的表面增强拉曼散射研究及对羧苄青霉素二钠的高灵敏检测。

SERS investigation and high sensitive detection of carbenicillin disodium drug on the Ag substrate.

机构信息

College of Pharmacy, Jiamusi University, Jiamusi 154007, People's Republic of China.

State Key Laboratory of Supramolecular Structure and Materials, Jilin University, Changchun 130012, People's Republic of China.

出版信息

Spectrochim Acta A Mol Biomol Spectrosc. 2018 Nov 5;204:241-247. doi: 10.1016/j.saa.2018.06.059. Epub 2018 Jun 18.

DOI:10.1016/j.saa.2018.06.059
PMID:29936221
Abstract

The reliable and ultrasensitive detection of antibiotic drug residue is of great interest for environmental protection and human health. Herein, we propose a simple SERS strategy based on Ag nanoparticles (NPs) as substrate with the assistance of aggregation agent (MgSO) for the SERS investigation and the high sensitive detection of antibiotic drug carbenicillin disodium (CBDM). The density functional theory calculation was performed for the assignment and identification of Raman bands of the CBDM molecule. The results indicate that the CBDM molecule is close to the Ag NP substrate surface through the carboxyl group. The CBDM molecules on Ag NP substrate exhibit the largest SERS enhancement, when the concentration of MgSO is 1 × 10 mol/L and the pH value of CBDM solution is 6. By this SERS method, the limit of detection of CBDM is 0.63 × 10 mol/L, which is lower than the standard of European Union for the maximum residue limit of antibiotic drug (1.2 × 10 mol/L). And, a quantitative detection method of CBDM can be established. There is a good linear relationship (R = 0.9908) in the concentration range of 1.0 × 10-1.0 × 10 mol/L. It proves that the proposed SERS method is a simple, rapid (within 6 min), reliable and highly sensitive scheme with a good reproducibility for the detection of CBDM. And, the proposed SERS strategy can also be applied for the high sensitive detection and identification of other antibiotic drug (penicillin).

摘要

抗生素药物残留的可靠和超灵敏检测对于环境保护和人类健康具有重要意义。在此,我们提出了一种基于 Ag 纳米粒子 (NPs) 作为基底的简单 SERS 策略,并在聚集剂 (MgSO) 的辅助下进行了 SERS 研究和抗生素药物卡青霉素二钠 (CBDM) 的高灵敏检测。通过密度泛函理论计算,对 CBDM 分子的拉曼带进行了归属和识别。结果表明,CBDM 分子通过羧基基团接近 Ag NP 基底表面。当 MgSO 浓度为 1×10-1 mol/L 且 CBDM 溶液的 pH 值为 6 时,CBDM 分子在 Ag NP 基底上表现出最大的 SERS 增强。通过这种 SERS 方法,CBDM 的检测限为 0.63×10-1 mol/L,低于欧盟对抗生素药物最大残留限量的标准(1.2×10-1 mol/L)。并且,可以建立 CBDM 的定量检测方法。在 1.0×10-1.0×10-1 mol/L 的浓度范围内,存在良好的线性关系 (R=0.9908)。这证明了所提出的 SERS 方法是一种简单、快速(在 6 分钟内)、可靠且具有良好重现性的检测 CBDM 的高灵敏度方案。并且,所提出的 SERS 策略还可以应用于其他抗生素药物(青霉素)的高灵敏检测和识别。

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