Application of COI Gene-Based Molecular Analysis for Verifying Honey Authenticity and Detecting Trace Residues in Vegan Food Products. [PDF]
Natonek-Wiśniewska M +4 more
europepmc +1 more source
Honey Botanical Origin Authentication Using HS-SPME-GC-MS Volatile Profiling and Advanced Machine Learning Models (Random Forest, XGBoost, and Neural Network). [PDF]
Pourmoradian A +3 more
europepmc +1 more source
Rapid detection of synthetic pigments in black tea using hyperspectral imaging technology and machine learning. [PDF]
Wang Z +7 more
europepmc +1 more source
Herbal medicines adulteration with erectile dysfunction pharmaceuticals in sub-Saharan Africa: call to strengthen regulatory measures. [PDF]
Ouoba K +4 more
europepmc +1 more source
Maple Syrup Adulteration: Fluorescence Fingerprints as a Source of Information for Enhanced Detection. [PDF]
Singh M +8 more
europepmc +1 more source
The Journey of Artificial Intelligence in Food Authentication: From Label Attribute to Fraud Detection. [PDF]
Magdas DA +3 more
europepmc +1 more source
TEMPERATURE-TIME DEPENDENCE OF DIFFERENT ADULTERATED EGYPTIAN HONEY
Salwa R. Mostafa +2 more
openaire +1 more source
Glycosidase Isoforms in Honey and the Honey Bee (<i>Apis mellifera</i> L.): Differentiating Bee- and Yeast-Derived Enzymes and Implications for Honey Authentication. [PDF]
Pavlović R +6 more
europepmc +1 more source
Precise Discrimination Between Rape Honey and Acacia Honey Based on Sugar and Amino Acid Profiles Combined with Machine Learning. [PDF]
Sun C +5 more
europepmc +1 more source
Detection and characterization of aluminium-containing nanoparticles in a complex food matrix [PDF]
Correia, Manuel +3 more
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