TY - JOUR
TI - MALDI-TOF-MS integrated workflow for food authenticity investigations: An untargeted protein-based approach for rapid detection of PDO feta cheese adulteration
AU - Kritikou, A.S.
AU - Aalizadeh, R.
AU - Damalas, D.E.
AU - Barla, I.V.
AU - Baessmann, C.
AU - Thomaidis, N.S.
JO - Food Chemistry
PY - 2022
VL - 370
TODO - null
SP - null
PB - Elsevier Ireland Ltd
SN - 0308-8146, 1873-7072
TODO - 10.1016/j.foodchem.2021.131057
TODO - Authentication;  Dairies;  Dairy products;  Desorption;  Inductively coupled plasma;  Mass spectrometry, Adulteration;  Chemometrices;  Complex assessment;  Cows' milk;  Feta cheese;  Food authenticity;  Integrated workflow;  Matrix-assisted laser desorption/ionization-time-of-flight mass spectrometry;  PDO dairy product;  Rapid detection, Proteins, yoghurt, Article;  cheese;  chemometrics;  cow milk;  feta cheese;  food analysis;  food contamination;  goat milk;  matrix assisted laser desorption ionization time of flight mass spectrometry;  sheep milk;  animal;  bovine;  female;  matrix-assisted laser desorption-ionization mass spectrometry;  milk;  sheep;  workflow, Animals;  Cattle;  Cheese;  Female;  Food Contamination;  Milk;  Sheep;  Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization;  Workflow
TODO - Advances in Matrix-assisted Laser Desorption/Ionization -Time-Of-Flight Mass Spectrometry (MALDI-TOF-MS) have led to its supremacy for complex assessment of food authenticity studies, like dairy products fraud, holding promise for the discovery of potential authenticity (bio)markers. In this study, an integrated untargeted protein-based workflow in combination with advanced chemometrics is presented, to address authenticity challenges in PDO feta cheese which is legally manufactured by the mixture of sheep/goat milk. Potential markers attributed to specific animal origin were found from protein profiles acquired for authentic feta and white cheeses (prepared from cow milk), belonging to 4 kDa–18.5 kDa mass area. Rapid detection of feta cheese adulteration from cow milk was also achieved down to 1% adulteration level. The discriminative models showed high predictive ability for feta cheese authenticity (Q2 = 0.920, RMSEE = 0.053) and its adulteration (Q2 = 0.835, RMSEE = 0.121), introducing a reliable approach in routine analysis. The methodology was successfully applied in detection of cow milk in sheep yoghurt. © 2021 Elsevier Ltd
ER -