应用连续小波变换同时估算胶囊制剂中的多潘立酮和兰索拉唑

IF 5.2 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Zehra Ceren Ertekin , Eda Büker , Elif Varhan Oral , Erdal Dinç
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引用次数: 0

摘要

紫外可见光谱法因其易用性、简便性和有效性,在药物研究和质量控制中仍然是必不可少的。然而,多组分药物制剂产生的重叠光谱带来了挑战。在此,我们介绍一种使用连续小波变换(CWT)的信号处理策略,以解析多潘立酮(DMP)和兰索拉唑(LSP)的重叠光谱,从而实现同时定量。发现三种不同的小波函数(Symlets 3、Coiflets 1、Daubechies 10)均适用于这一目的。利用 CWT 零点交叉技术构建了线性校准曲线,并通过分析一组合成混合物、日内和日间样品以及标准添加样品对方法进行了验证。将商用胶囊样品的检测结果与衍生光谱法得出的结果进行了比较,未发现明显的统计学差异。所提出的 CWT 方法与标签说明相符,证明是一种可靠、通用、快速和经济高效的分析方法,无需进行初步分离程序。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Application of continuous wavelet transforms for simultaneous estimation of domperidone and lansoprazole in capsule formulations

Application of continuous wavelet transforms for simultaneous estimation of domperidone and lansoprazole in capsule formulations
UV–Vis spectroscopy remains essential in pharmaceutical research and quality control due to its accessibility, simplicity, and effectiveness. However, overlapping spectra resulting from multicomponent drug formulations present challenges. Here, we describe a signal processing strategy using continuous wavelet transform (CWT) to resolve overlapping spectra of domperidone (DMP) and lansoprazole (LSP) for simultaneous quantification. Three different wavelet functions (Symlets 3, Coiflets 1, Daubechies 10), were found to be suitable for this purpose. Linear calibration curves were constructed using the CWT zero-crossing technique and the methods were validated by analyzing a set of synthetic mixtures, intra-and inter-day samples, and standard addition samples. The assay results of commercial capsule samples were compared with those obtained by derivative spectroscopy, and no significant statistical difference was observed. The proposed CWT methods demonstrated good compliance with the label claims and proved to be reliable, versatile, fast, and cost-efficient analytical methods without the need for preliminary separation procedures.
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来源期刊
Measurement
Measurement 工程技术-工程:综合
CiteScore
10.20
自引率
12.50%
发文量
1589
审稿时长
12.1 months
期刊介绍: Contributions are invited on novel achievements in all fields of measurement and instrumentation science and technology. Authors are encouraged to submit novel material, whose ultimate goal is an advancement in the state of the art of: measurement and metrology fundamentals, sensors, measurement instruments, measurement and estimation techniques, measurement data processing and fusion algorithms, evaluation procedures and methodologies for plants and industrial processes, performance analysis of systems, processes and algorithms, mathematical models for measurement-oriented purposes, distributed measurement systems in a connected world.
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