Smart Multivariate Spectrophotometric Determination of Two Co-Administered Autoimmune Drugs; Sulfasalazine and Pentoxifylline; in Bulk and Spiked Human Plasma.

IF 1.7 4区 农林科学 Q3 CHEMISTRY, ANALYTICAL
Maimana A Magdy, Nehal F Farid, Basma H Anwar, Nessreen S Abdelhamid
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引用次数: 0

Abstract

Background: Sulfasalazine and pentoxifylline are co-prescribed together to treat psoriasis and pemphigus vulgaris. Sulfasalazine is an anti-inflammatory, immunosuppressant, and antibiotic drug, while pentoxifylline is a vasodilator and immunosuppressant. The spectra of the two drugs and plasma suffer from severe overlap.

Objective: This work aims to simultaneously determine sulfasalazine and pentoxifylline in their binary mixture and spiked human plasma by the assessment of their UV spectral data.

Methods: Two model updated chemometric methods were established using principal component regression and partial least-squares regression models. The two models were validated in accordance with the U.S. Food and Drug Administration guidelines for bioanalysis and were applied for the determination of both drugs in synthetic mixtures or spiked human plasma.

Results: Accuracy and precision were within the accepted limits. In addition, three different assessment methods were used to evaluate the environmental greenness of the proposed models.

Conclusion: The two updated models are simple, rapid, sensitive, and precise, and could be easily applied in QC laboratories for determination of sulfasalazine and pentoxifylline, without any preliminary separation steps or interference from plasma matrix.

Highlights: Two updated chemometric models called principlal component regression and partial least-squares regression were established for determination of sulfasalazine and pentoxifylline in spiked human plasma using UV spectrophotometric data.

智能多变量分光光度法测定散装和加标人体血浆中两种联合用药的自身免疫性药物:磺胺沙拉嗪和喷托西林。
背景:磺胺沙拉嗪和喷托昔林可同时用于治疗银屑病和寻常型天疱疮。磺胺二甲嘧啶是一种抗炎药、免疫抑制剂和抗生素,而喷昔利林是一种血管扩张剂和免疫抑制剂。这两种药物和血浆的光谱存在严重重叠:本研究旨在通过评估两种药物的紫外光谱数据,同时测定其二元混合物和加标人体血浆中的柳氮磺胺吡啶和喷托非福林:方法: 利用主成分回归和偏最小二乘回归模型,建立了两种模型更新的化学计量学方法。根据美国食品和药物管理局的生物分析指南对这两个模型进行了验证,并将其应用于合成混合物或加标人体血浆中两种药物的测定:结果:准确度和精密度均在可接受的范围内。此外,还采用了三种不同的评估方法来评价所提议模型的环保性:结论:这两个更新的模型简单、快速、灵敏、精确,可轻松应用于质控实验室中磺胺沙拉嗪和喷昔利嗪的测定,无需任何初步分离步骤,也不会受到血浆基质的干扰:利用紫外分光光度法数据建立了两个新的化学计量模型,分别称为原理成分回归模型和部分最小二乘回归模型,用于测定加标人体血浆中的磺胺沙拉嗪和喷昔利嗪。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of AOAC International
Journal of AOAC International 医学-分析化学
CiteScore
3.10
自引率
12.50%
发文量
144
审稿时长
2.7 months
期刊介绍: The Journal of AOAC INTERNATIONAL publishes the latest in basic and applied research in analytical sciences related to foods, drugs, agriculture, the environment, and more. The Journal is the method researchers'' forum for exchanging information and keeping informed of new technology and techniques pertinent to regulatory agencies and regulated industries.
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