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采用 CdS 量子点为敏化剂的优化荧光法测定双氯芬酸和 N-乙酰半胱氨酸。

Determination of Diclofenac and N-Acetylcysteine by an Optimized Luminescence Method Using CdS Quantum Dots as Sensitizers.

机构信息

Faculty of chemistry, University of Mazandaran, Babolsar, Iran.

出版信息

J Fluoresc. 2017 May;27(3):1025-1034. doi: 10.1007/s10895-017-2036-z. Epub 2017 Feb 14.

Abstract

A simple, sensitive and selective chemiluminescence method is proposed for the determination of Acetylcysteine and Diclofenac in pharmaceutical samples. The method is based on the measuring light intensity of NaHCO-HO @ CdS chemiluminescence system in the absence and presence of Acetylcysteine and Diclofenac. It was found that the intensity of chemiluminescence is increased by addition of acetylcysteine while the light intensity is decreased with increasing diclofenac concentration. The CdS quantum dots nanoparticles were characterized by X-ray diffraction (XRD), Scanning electron microscopy (SEM), Fourier transform infrared spectroscopy (FTIR), UV-Vis spectrophotometry and Fluorescence spectroscopy. The optimum conditions for maximizing the CL emission intensity were studied by means of a Box-Behnken experimental design combined with response surface modeling (RSM) and quadratic programming. Under the optimal conditions, results for measurement of diclofenac was found as follows: linear range 1 × 10 - 1 × 10 Molar with R = 0.98, limit of detection 5 × 10 Molar and relative standard deviation of 2.4% for diclofenac; and for N-acetylcysteine was : linear range 1 × 10 - 1 × 10 Molar, the limit of detection 5 × 10 Molar, and the relative standard deviation of 3.4%.

摘要

提出了一种简单、灵敏和选择性的化学发光法,用于测定药物样品中的乙酰半胱氨酸和双氯芬酸。该方法基于在没有和存在乙酰半胱氨酸和双氯芬酸的情况下,测量 NaHCO-HO @ CdS 化学发光体系的光强。结果表明,加入乙酰半胱氨酸后化学发光强度增加,而随着双氯芬酸浓度的增加,光强度降低。通过 X 射线衍射 (XRD)、扫描电子显微镜 (SEM)、傅里叶变换红外光谱 (FTIR)、紫外-可见分光光度法和荧光光谱法对 CdS 量子点纳米粒子进行了表征。通过 Box-Behnken 实验设计结合响应面建模 (RSM) 和二次规划,研究了最大程度提高 CL 发射强度的最佳条件。在最佳条件下,测量双氯芬酸的结果如下:线性范围为 1×10 - 1×10 Molar,R = 0.98,检测限为 5×10 Molar,双氯芬酸的相对标准偏差为 2.4%;对于 N-乙酰半胱氨酸,线性范围为 1×10 - 1×10 Molar,检测限为 5×10 Molar,相对标准偏差为 3.4%。

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