Hind A Abdullatif, Mohammed Abdelkawy, Shereen A Boltia, Nesma M Fahmy, Maha Kamal
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引用次数: 0

摘要

这是首次利用先进的化学计量模型来确定碳点引起的荧光。为了方便测定动物生物液体中的兽药制剂,从而规范抗蠕虫药物的使用,我们开发了一种新型荧光测定辅助化学计量学方法,用于检测两种非荧光药物--伊维菌素(IVR)和氯索隆(CLR)。该方法依赖于药物对天然来源合成的碳点(CD)荧光强度的线性淬灭效应。尽管存在明显的重叠,但在遗传算法(GA)的辅助下,偏最小二乘法(PLS)和人工神经网络(ANN)等化学计量模型成功地解决了这一问题,并实现了这两种药物的高精度回收。该方法的线性范围为 50-6000 纳克/毫升,适用于测定动物生物液体中的这两种药物。为确保实际应用,该方法被应用于兽药制剂和动物血浆的添加,结果令人满意。最后,将所建议的方法与官方方法进行了比较,结果显示两者无明显差异。根据白色分析化学(WAC)原则,该方法也符合可持续发展规则。因此,该方法被证明是一种新颖、安全且适用于该制剂的替代方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Novel enhanced detection and resolution of a nonfluorescent mixture in plasma at nanogram levels using sustainable fluorescent carbon dots and advanced chemometric models.

For the first time, advanced chemometric models were utilized to determine florescence induced by carbon dots. In an endeavor to regulate anthelmintic drug usage by facilitating the determination of veterinary formulations in animals' biological fluids, a novel fluorometric-assisted chemometric method has been developed for detecting two nonfluorescent drugs, Ivermectin (IVR) and Clorsulon (CLR). The method relies on the linear quenching effect of the drugs on the fluorescence intensity of carbon dots (CDs) synthesized from natural sources. Despite the significant overlap, chemometric models such as partial least squares (PLS) and artificial neural networks (ANN), assisted by genetic algorithms (GA), successfully resolved the issue and achieved high-precision recovery of both drugs. The method demonstrates a linearity range of 50-6000 ng/mL, rendering it suitable for determining both drugs in biological animal fluids. To ensure practical application, the method was applied to veterinary formulations and spiked animal plasma, yielding satisfactory results. Finally, a comparison of the proposed method with official ones revealed no significant differences. According to principles of white analytical chemistry (WAC), the method also obeys sustainability rules. The method was therefore proven to be a novel, safe and applicable alternative approach for this formulation.

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