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Development of a Fast, Low-Cost, Conservative and Ecological Method for Quantifying Gallic Acid in Polymeric Formulations by FTIR Spectroscopy in Solution

机译:开发快速,低成本,保守和生态学方法,用于通过溶液中FTIR光谱量化聚合物制剂中的食道酸

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摘要

The beneficial polyphenol gallic acid (GA) is often loaded in polymeric systems to improve its poor bioavailability and low stability, therefore quantifying its concentration is mandatory. Chromatography is expensive, time long and non-ecological; partial least square-based near-infrared technique requires interpretative chemometrics tools; ultraviolet/visible (UV-Vis) method is non-specific and destructive. Herein, using Fourier transform infrared (FTIR) spectroscopy, a fast, low-cost, ecological and conservative method for quantifying GA in polymer matrices was developed, by acquiring spectra of GA solutions at different GA concentrations (C_(GA)s). Selected spectral data and C_(GA)s were used to build a linear regression model by least squares approach, subsequently validated adopting samples of three different GA polymer formulations, as validation sets. Test samples were analyzed by FTIR technique and the model was used to determine C_(GA)s, which were predicted with minimal absolute errors (0.01-0.03). This method is robust and extendable also to other precious polymeric matrices or valuable substances.
机译:有益的多酚食道酸(GA)通常在聚合系统中加载,以改善其差的生物利用度和低稳定性,因此量化其浓度是强制性的。色谱很昂贵,长时间且非生态学;部分基于最不方的近红外技术需要解释性化学计量学工具。紫外线/可见(UV-VIS)方法是非特异性和破坏性的。本文中,通过在不同的GA浓度(C_(GA)s)中获取GA溶液的光谱,从而开发了一种快速,低成本,生态和保守的方法来量化聚合物矩阵中GA的快速,低成本,生态和保守方法。选定的光谱数据和C_(GA)S用于通过最小二乘方法构建线性回归模型,随后验证了采用三种不同GA聚合物公式的样品作为验证集。通过FTIR技术分析了测试样品,并使用模型来确定C_(GA)S,这些C_(GA)的绝对误差最小(0.01-0.03)预测。该方法具有鲁棒性,也可以扩展到其他宝贵的聚合物矩阵或有价值的物质。

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