(Chemical) Bonding is what makes life possible

Liliana Gonçalves Grazina


Research group
Food Quality and Technology

PhD student

Researcher IDAAD-2258-2019
Ciência ID8813-96A8-29E9
Liliana Grazina is a PhD student at REQUIMTE/LAQV Faculty of Pharmacy, University of Porto
She has master in Food Safety at Faculty of Pharmacy, University of Coimbra and a degree in Biochemistry at Faculty of Sciences and Technology, University of Coimbra.
Currently she is working on the assessment of plant food supplements authenticity. She has expertise in the development of DNA-based methods for GMO detection, with main emphasis on PCR, quantitative real-time PCR, HRM analysis and sequencing.
She has 12 peer-reviewed scientific publications, two book chapters and more than 20 communications in scientific conferences (H-index - 6).
Areas of interest: Food authenticity; Food safety; Molecular Biology techniques; Plant Food Supplements.

Representative Publications

Peptide selection and antibody generation for the prospective immunorecognition of Cry1Ab16 protein of transgenic maize
Matrix-normalised real-time PCR approach to quantify soybean as a potential food allergen as affected by thermal processing
Tracing two Roundup Ready (TM) soybean lines (GTS 40-3-2 and MON89788) in foods commercialised in Portugal
Seasonal change in main alkaloids of jaborandi (Pilocarpus microphyllus Stapf ex Wardleworth), an economically important species from the Brazilian flora
Botanical authentication of lavender (Lavandula spp.) honey by a novel DNA-barcoding approach coupled to high resolution melting analysis
Novel diagnostic tools for Asian (Apis cerana) and European (Apis mellifera) honey authentication
Towards honey authentication: Differentiation of Apis mellifera subspecies in European honeys based on mitochondrial DNA markers
Botanical origin authentication of dietary supplements by DNA‐based approaches
Authentication of Ginkgo biloba Herbal Products by a Novel Quantitative Real-Time PCR Approach
Machine Learning Approaches Applied to GC-FID Fatty Acid Profiles to Discriminate Wild from Farmed Salmon
High-Resolution Melting Analysis as a Tool for Plant Species Authentication