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基于荧光三维光谱的克拉夫丘克图像矩法同时测定人血浆中的三种药物

Krawtchouk image moment method for the simultaneous determination of three drugs in human plasma based on fluorescence three-dimensional spectra.

作者信息

Chen Jing, Li Bao Qiong, Xu Min Li, Wang Xue, Jing Yu Hong, Zhai Hong Lin

机构信息

College of Chemistry & Chemical Engineering, Lanzhou University, Lanzhou, 730000 PR China.

College of Basic Medical Sciences, Lanzhou University, Lanzhou, 730000 PR China.

出版信息

Talanta. 2016 Dec 1;161:99-104. doi: 10.1016/j.talanta.2016.08.019. Epub 2016 Aug 5.

DOI:10.1016/j.talanta.2016.08.019
PMID:27769504
Abstract

The interference signals and overlapped peaks are common phenomena in fluorescence determination, which seriously influence the accuracy and reliability of analytical results. In this paper, Krawtchouk image moment method was introduced to the analysis of fluorescence three-dimensional (3D) spectra and applied to the quantitative analysis of three drugs including nicotinic acid, metoprolol and amlodipine in human plasma. Without any pretreatment to the obtained spectra, Krawtchouk moments were directly calculated on the grayscale images of 3D spectra, and the quantitative linear models for the three drugs were established by stepwise regression, respectively. The determination coefficients (R) were more than 0.9906. The correlation coefficients of leave-one-out cross-validation (R) were more than 0.9256. The precisions (RSD, %) of inter-day and intra-day variations were less than 8.4% and 3.1%, separately. The recovery was from 101.84% to 107.88%. The limit of quantification and the limit of detection were 0.12μgmL and 0.43μgmL, respectively. All the statistical parameters supported that the obtained models performed well and the proposed method was accurate and reliable. Our study indicates that Krawtchouk image moments with the powerful abilities of multi-resolution and extracting local information can be applied to the simultaneous determination of multi-target compounds in plasma based on fluorescence 3D spectra.

摘要

干扰信号和重叠峰是荧光测定中的常见现象,严重影响分析结果的准确性和可靠性。本文将Krawtchouk图像矩方法引入荧光三维(3D)光谱分析,并应用于人体血浆中烟酸、美托洛尔和氨氯地平三种药物的定量分析。在对所得光谱不进行任何预处理的情况下,直接在3D光谱的灰度图像上计算Krawtchouk矩,并分别通过逐步回归建立三种药物的定量线性模型。测定系数(R)均大于0.9906。留一法交叉验证的相关系数(R)均大于0.9256。日间和日内变化的精密度(RSD,%)分别小于8.4%和3.1%。回收率为101.84%至107.88%。定量限和检测限分别为0.12μg/mL和0.43μg/mL。所有统计参数均表明所建立的模型性能良好,该方法准确可靠。我们的研究表明,具有强大多分辨率和局部信息提取能力的Krawtchouk图像矩可应用于基于荧光3D光谱的血浆中多目标化合物的同时测定。

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