Development of a Fast, Low‐Cost, Conservative and Ecological Method for Quantifying Gallic Acid in Polymeric Formulations by FTIR Spectroscopy in Solution. Issue 14 (15th April 2020)

• Record Type: Journal Article
• Authors: Alfei, Silvana; Marengo, Barbara; Domenicotti, Cinzia
• Is Part Of: ChemistrySelect. Volume 5:Issue 14(2020)
• Page Start: 4381
• Page End: 4388
• Publication Date: 2020-04-15
• Subjects: ecological analytical method -- gallic acid determination -- gallic acid polymer formulations -- high prediction ability -- IR spectroscopy; Chemistry -- Periodicals; 540.5
• DOI: 10.1002/slct.202000690
• Languages: English
• ISSNs: 2365-6549

Abstract

Abstract: 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 (CGA s). Selected spectral data and CGA 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 CGA 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. Abstract : A FTIR‐based method, to quantify gallic acid (GA) in GA polymer formulations, was developed. A predictive model was created, validated on different sets of samples and its predictive ability was successfully evaluated on three test samples. The developed model is economic, fast, ecological, simple to perform, conservative, precise and robust.