Carregant...
Tipus de document
TesiVersió
Versió publicadaData de publicació
Llicència de publicació
Si us plau utilitzeu sempre aquest identificador per citar o enllaçar aquest document: https://hdl.handle.net/2445/201249
Application of metabolomic profiling and fingerprinting approaches to food fraud cases
Títol de la revista
Autors
Director/Tutor
ISSN de la revista
Títol del volum
Resum
[eng] Food fraud is an intentional and misleading act in food that generally does not comply with food law and is motivated by economic gain. It encompasses several fraudulent practices such as deception during manufacture, diversion into illicit supply chains, interventions with the food product, or misrepresentation. In this context, the coming to light of the horse meat scandal at the beginning of 2013 highlighted the shortcomings of the European system against food fraud, increasing concern and interest among European citizens and administrative bodies.
Under these circumstances, in recent years, omics tools —comprising genomics, transcriptomics, proteomics, metabolomics, and elementomics/isotopollomics— have been applied to solve food fraud issues, along with biostatistics and chemometrics. In most cases, their application has relied on profiling (focusing on determining targeted secondary chemical markers) or fingerprinting approaches (based on the unspecific detection of instrumental responses without assuming any previous knowledge about the sample composition), overcoming the traditional targeted analysis. In particular, since a food product’s metabolome varies according to its biological nature and several external conditions (i.e., either from a natural or anthropogenic origin), metabolomics has shown excellent potential to assess several issues related to its authenticity and quality.
Therefore, in this thesis, several metabolomic profiling and fingerprinting approaches were developed to address different food fraud cases. In this line, liquid chromatography coupled to low- or high-resolution mass spectrometry (LC–LRMS, LC–HRMS) was proposed for the targeted approaches. In contrast, non-targeted methods were based on liquid chromatography with ultraviolet detection (LC-UV) or fluorescence detection (LC-FLD), LC–HRMS, or direct mass spectrometry (MS)-based techniques. Furthermore, non-supervised and supervised chemometric techniques allowed sample assignation and classification. As a result, the proposed analytical methodologies were successfully applied to several food products —including paprika, nuts and seeds, hen eggs, vegetable oils, and red wine— guaranteeing their classification and authentication regarding the geographical origin, botanical origin, production system, or quality category.
Descripció
Matèries (anglès)
Citació
Citació
CAMPMAJÓ GALVÁN, Guillem. Application of metabolomic profiling and fingerprinting approaches to food fraud cases. [consulta: 5 de desembre de 2025]. [Disponible a: https://hdl.handle.net/2445/201249]