紫外可见导数光谱法的最新应用

Amit J. Vyas, Harshal M. Vadile, Ajay I. Patel, Ashok B. Patel, Ashvin V. Dudhrejiya, Sunny R. Shah, Urvi J. Chotaliya, Devang B. Sheth
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引用次数: 0

摘要

导数分光光度法是一种从未解析光谱中提取定性和定量信息的分析技术,用于消除基线偏移和基线倾斜的影响。综述了2018 - 2022年在药物分析领域的导数分光光度法。本文指出,衍生分析方法在多组分测定、动力学研究、药物、临床分析、环境分析或食品分析中仍然是一种有前途的工具,因为它提供了选择性、有效、简单和经济的分析方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Recent Applications of UV-Visible Derivative Spectroscopic Method
Derivative spectrophotometry is an analytical technique of great utility for extracting both qualitative and quantitative information from spectra composed of unresolved bands, and for eliminating the effect of baseline shifts and baseline tilts. Derivative spectrophotometry in the field of pharmaceutical analysis during the period 2018 – 2022 are reviewed. This paper draws attention to the fact that derivative treatment continues to be a promising tool for Multi-component Determination, Kinetic Studies, Pharmaceutical, clinical Analysis, Environmental fields of analysis or Food Analysis as it provides selective, validated, simple and cost-effective analytical method.
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