Due to the many positive effects of plants and their extracts, they are increasingly used in everyday life. Rosemary (Rosmarinus officinalis) has been used as a medicinal herb and spice since ancient times, and in recent years it has also made its mark in the healthcare, pharmaceutical and cosmetic industries. In cosmetic products, rosemary is most often present in the form of a plant extract, where it has antioxidant, antimicrobial and occlusive roles, and predominantly as a flavour and fragrance modifier. In this thesis, the safety of rosemary extract as a cosmetic ingredient was assessed using a threshold of toxicological concern (TTC) approach, which classifies individual compounds into Cramer toxicity classes based on their chemical structures and thus assigning them with specific TTC. The quantitative and qualitative composition of the plant and the extract of the leaf, flower and leaf oil of common rosemary were examined by literature review. We then used ChemOffice to calculate some physicochemical properties of the individual ingredients to estimate the potential extent of absorption and, consequently, the systemic exposure of these ingredients when using a cosmetic product containing rosemary extract. The Toxtree software was used to classify the ingredients into Cramer toxicity classes. The resulting systemic exposure results were compared with the values assigned to each Cramer's class. Despite the high predicted systemic exposure for both triterpenoids, classified as Cramer Class III, we have not determined the extract to be toxic, as the TTC values are set very low, meaning that a small excess does not pose a hazard. The calculated systemic exposures fort he res tof the studied compounds did not exceed the TTC values. We then searched the literature to find the no-observed-adverse-effect level (NOAEL) for each compound from which safe daily exposures were calculated. The latter were compared with the results obtained using the TTC approach, which led to the conclusion that safe daily exposures by far superseed those generated by the TTC approach.
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