Images dataset of pure and adulterated Teff (Eragrostis tef (Zucc.) Trotter) flour with wood flour (sawdust) and gypsum (calcium sulfate) powder for machine learning based identification of Teff flour adulteration and prediction of the level adulteration. [PDF]
Bochera ZA, Gizaw S, Onime C.
europepmc +1 more source
Establishing a TaqMan qPCR method for identification and quantification of <i>Fritillaria hupehensis</i> as a common adulterant of <i>Fritillaria thunbergii</i> Miq. [PDF]
Yan C +6 more
europepmc +1 more source
Spectroscopy-multimodal data fusion empowers smart food quality analysis: Challenges and prospects. [PDF]
Li Z, Deng W, Zhao J, Kong Y.
europepmc +1 more source
Phytosterol Profiling as a Tool for Edible Oil Authentication: Challenges and Prospects. [PDF]
Cheng K +6 more
europepmc +1 more source
A fully integrated magnetofluidic system enabled by a wax phase barrier for automated multiplex meat adulteration detection. [PDF]
Zhou T, Li C, Chen D, Wang J, Li N.
europepmc +1 more source
Βotanical Origin Confirmation and Adulteration Testing of Monofloral Honey Using ATR-FTIR Spectroscopy in Combination with Pattern Recognition and Dimension Reduction Techniques. [PDF]
Lazaridis DG +4 more
europepmc +1 more source
Of bees and buzz: towards validated NGS-based methods in honey authentication. [PDF]
Pellegrin C +2 more
europepmc +1 more source
Non-Targeted Hyperspectral Imaging Screening of Adulterants and Congeneric Species in <i>Fritillaria</i> Using a Deep Spectral Autoencoder. [PDF]
Huang Z +8 more
europepmc +1 more source
Machine learning assisted intelligent identification strategy for adulteration peanut oil based on fatty acid GC fingerprint. [PDF]
Su G +10 more
europepmc +1 more source
A Framework for Developing Intake and Use Guidance for Dietary Supplement Bioactives. [PDF]
Novotny JA +8 more
europepmc +1 more source

