Application of FT-IR Classification Method in Silica-Plant Extracts Composites Quality Testing

Euroinvent ICIR 2018

Bicu, A.^1 ; Drumea, V.^1 ; Mihaiescu, D.E.^2 ; Purcareanu, B.^1 ; Florea, M.A.^1 ; Tric, B.^3 ; Vasilievici, G.^3 ; Draga, S.^1 ; Buse, E.^1 ; Olariu, L.^1,4

S.C. BIOTEHNOS S.A., Gorunului Street No. 3-5, Otopeni, Ilfov

075100, Romania^1

Department of Organic Chemistry Costin Nenitescu, Faculty of Applied Chemistry and Materials Science, Politehnica University of Bucharest, Polizu Street No. 1-7, Bucharest

011061, Romania^2

INCDCP-ICECHIM, 202 Spl. Independentei, Bucuresti

060021, Romania^3

Academia Oamenilor de Stiinta Din Romania, 54 Spl. Independentei, Bucharest

050094, Romania^4

关键词: Characterization methods;    Classification methods;    Identification method;    Mesoporous Silica;    Pharmaceutical products;    Product identification;    Representative sample;    Standardization process;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/374/1/012064/pdf
DOI  :  10.1088/1757-899X/374/1/012064

来源: IOP

【 摘 要 】

Our present work is concerned with the validation and quality testing efforts of mesoporous silica - plant extracts composites, in order to sustain the standardization process of plant-based pharmaceutical products. The synthesis of the silica support were performed by using a TEOS based synthetic route and CTAB as a template, at room temperature and normal pressure. The silica support was analyzed by advanced characterization methods (SEM, TEM, BET, DLS and FT-IR), and loaded with Calendula officinalis and Salvia officinalis standardized extracts. Further desorption studies were performed in order to prove the sustained release properties of the final materials. Intermediate and final product identification was performed by a FT-IR classification method, using the MID-range of the IR spectra, and statistical representative samples from repetitive synthetic stages. The obtained results recommend this analytical method as a fast and cost effective alternative to the classic identification methods.