LCMS
More information
WebinarsAbout usContact usTerms of use
LabRulez s.r.o. All rights reserved. Content available under a CC BY-SA 4.0 Attribution-ShareAlike
Organizer
Bruker
Bruker
Bruker offers the world’s most comprehensive range of scientific instrumentation available under one brand - a brand synonymous with excellence, innovation and quality.
Tags
LC/MS
MALDI
LinkedIn Logo

An integrated untargeted protein-based workflow for rapid detection of PDO feta cheese adulteration

RECORD | Already taken place Tu, 23.11.2021
In this research work, an integrated untargeted protein-based workflow is presented, to address authenticity challenges in PDO (Protected Designation of Origin) feta cheese.
Go to the webinar
Pixabay/Lukas Bieri: An integrated untargeted protein-based workflow for rapid detection of PDO feta cheese adulteration
Pixabay/Lukas Bieri: An integrated untargeted protein-based workflow for rapid detection of PDO feta cheese adulteration

Matrix-assisted Laser Desorption/Ionization Mass Spectrometry Time-Of-Flight (MALDI-TOF MS) has proved to be a powerful MS technique to address crucial authenticity challenges. Combining speed, reliability and straightforward analysis, MALDI-TOF-MS have led to its supremacy for complex assessment of food authenticity studies, like dairy products fraud, not only to prevent consumers’ health, but also to meet the established legislative frameworks.

Feta is a worldwide recognized Protected Designation of Origin (PDO) Greek cheese, highly ranked in the global market due to its special sensory characteristics. Although Feta is legally produced from sheep milk or a mixture of sheep and goat milk (the latter up to 30%), it may be subjected to the unlabeled addition of cow milk, due to its lower price combined with the reduced availability of ovine milk.

In this research work, an integrated untargeted protein-based workflow is presented, to address authenticity challenges in PDO feta cheese. Exploiting full capabilities of MALDI-TOF-MS profiling and chemometrics, discriminative models were built for the discrimination of authentic feta cheese, reaching the detection down to 1% adulteration level (cow milk). Potential markers were detected in authentic feta and white cheeses (prepared from cow milk), attributed to specific animal origin. The discriminative models showed high predictive ability, introducing a reliable approach in routine analysis. The methodology was successfully applied in detection of cow milk in sheep yoghurt, demonstrating that MALDI-TOF-MS can be applied as a reliable and rapid screening tool in the detection of dairy products adulteration.

Presenter: Prof. Nikolaos S. Thomaidis (National & Kapodistrian, University of Athens, Greece)

Bruker
LinkedIn Logo
 

Related content

Overcoming Strong Solvent Effects in the Analysis of Vepdegestrant

Applications
| 2026 | Agilent Technologies
Instrumentation
HPLC
Manufacturer
Agilent Technologies
Industries
Pharma & Biopharma

Identification of Double Bond Positions and Relative Acyl Chain Positions in Egg Yolk Phosphatidylcholines Using OAD-TOF System

Applications
| 2026 | Shimadzu
Instrumentation
LC/MS, LC/MS/MS, LC/TOF, LC/HRMS
Manufacturer
Shimadzu
Industries
Food & Agriculture

High Molecular-Weight Polysaccharide Characterization by SEC-MALS Using GTxResolve™ 1000 and 2000 Å SEC Columns

Applications
| 2026 | Waters
Instrumentation
GPC/SEC, Consumables, LC columns
Manufacturer
Waters
Industries
Pharma & Biopharma, Food & Agriculture

Development and Optimization for a Comprehensive LC/MS/MS Method for the Detection of 74 PFAS Compounds

Applications
| 2026 | Agilent Technologies
Instrumentation
LC/MS, LC/MS/MS, LC/QQQ
Manufacturer
Agilent Technologies
Industries
Food & Agriculture

PFAS in Biota: Risk Context & Robust Analytical Solutions

Others
| 2026 | ALS Europe
Instrumentation
Laboratory analysis, LC/MS, LC/MS/MS
Manufacturer
Industries
Environmental
Other projects
GCMS
ICPMS
Follow us
More information
WebinarsAbout usContact usTerms of use
LabRulez s.r.o. All rights reserved. Content available under a CC BY-SA 4.0 Attribution-ShareAlike