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Projects. Life and Matter Sciences

Methodological advances for obtaining natural biocides to be employed in the food chain based on Mentha spicata extracts

Lead Researcher:
Ana Cristina Soria Monzón

Research Centre:
Instituto de Química Orgánica General. CSIC. Madrid.


Ana Cristina Soria MonzónThe main purpose of this project is the development of an integrating methodology to select the most appropriate chemotype and extraction method for obtaining mint extracts (Mentha sp.) with antimicrobial/antifungal activity, for potential use as natural biocides for food use. Advances in different aspects are proposed for this, including: (i) the optimisation and development of advanced mint extraction and bioactive component analysis. (ii) The development and validation of several methodologies (conventional and metabolomic focus) for the study of chemotypes in mint. This aspect is of great relevance for the standardisation and control of bioactive extracts with potential usage on an industrial scale. (iii) Lastly, we will attempt to establish possible relationships between the composition of extracts and their bioactivity, which would be useful for selecting the most interesting extracts from the perspective of their potential industrial exploitation.

Researcher's web address:

Ana Cristina Soria Monzón

A Ramón y Cajal researcher at the General Organic Chemistry Institute. CSIC. Her recent work has focused on five aspects: (i) the development and validation of fast, effective and environmentally-friendly extraction methodologies based on PLE, UAE and MAE techniques; (ii) the development and application of advanced methods, mainly using chromatographic techniques and their mass spectrometry attachments (GC-MS, LC-MSn and GC×GC-TOF MS), for complex mixture analysis of bioactive compounds; (iii) subsequent analysis of improving methods for fractionation by SPME, P&T, DTD, etc. and posterior analysis by GC-MS of volatile compounds in foods and plants; (iv) the application of strategies -omics technologies for rapid and non-weighted classification of diverse samples (foods, urines, etc.) in accordance with different objectives; (v) use of chemometric techniques for the analysis of findings obtained in (i) to (iv), and for the resolution of different analytical and poorly addressed problems (improvement of precision, recovery studies, statistical validation of the presence of chemotypes in plants, etc.).

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