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Updated: May 17, 2026

Visualizing and Quantifying Pharmaceutical Compounds within Skin using Coherent Raman Scattering Imaging
Published on: November 24, 2021
Development of a percutaneous penetration predictive model by SR-FTIR
E Jungman1, C Laugel, D N Rutledge
1Group of Analytical Chemistry Paris Sud (EA 4041), Faculty of Pharmacy, Université Paris-Sud, 5 rue Jean-Baptiste Clément, 92290 Chatenay-Malabry, France. elsa.jungman@gmail.com
Abstract:
This work focused on developing a new evaluation criterion of percutaneous penetration, in complement to Log Pow and MW and based on high spatial resolution Fourier transformed infrared (FTIR) microspectroscopy with a synchrotron source (SR-FTIR). Classic Franz cell experiments were run and after 22 h molecule distribution in skin was determined either by HPLC or by SR-FTIR. HPLC data served as reference. HPLC and SR-FTIR results were compared and a new predictive criterion based from SR-FTIR results, named S(index), was determined using a multi-block data analysis technique (ComDim). A predictive cartography of the distribution of molecules in the skin was built and compared to OECD predictive cartography. This new criterion S(index) and the cartography using SR-FTIR/HPLC results provides relevant information for risk analysis regarding prediction of percutaneous penetration and could be used to build a new mathematical model.
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