Determination of active ingredients in alcohol‐based gel by spectroscopic techniques and chemometric analysis

Abstract

The international public health emergency related to COVID‐19 caused by the SARS‐CoV‐2 virus has altered several production and registration criteria for sanitary products, including alcohol‐based hand sanitizers. In this work, we investigate the concentration of alcohol in sanitizers presented in gel form applying the principal component regression method on measurements using Infrared and Raman spectroscopic methods. The chemometric calibration is performed using isopropanol or ethanol as active agents, and the method is used to characterize several commercial samples. Furthermore, the results of the prediction of alcohol concentration, obtained by applying the principal component regression and partial least squares methods, in the spectroscopic techniques, were compared with each other and with the results provided by nuclear magnetic resonance. Our results show that spectroscopic techniques coupled with principal component regression are fast, low‐cost, and safe tools for the determination of alcohol concentration, regardless the gelling agent used.

Greening the waves: experimental and chemometric approaches in spectroscopic methods for organic pollutant determination in natural waters

“…Despite these challenges, the adoption of green spectroscopic methods offers signicant opportunities for advancing water quality analysis. [94][95][96][97][98][99] For instance, the use of remote sensing techniques in water quality monitoring presents an opportunity to make up for the shortcomings of traditional methods in spatial coverage and temporal resolution. Reports conducted a systematic review to identify the existing challenges and future directions in water quality monitoring using remote sensing techniques, highlighting the potential for remote sensing to contribute to sustainable water resource management.…”