Application of Hyperspectral Imaging and Machine Learning Methods to Detect and Quantify Adulterants in Minced Meats
By Ahmed M. Rady, A. Adedeji. Food Analytical Methods, 2020
52 citations recorded by the source corpus.
Subfields: Analytical Chemistry, Animal Science and Zoology, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/5ca5eff2d8d6893a19c036c274f0a270d299acde
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- F. K. Schreuders
- K. Kyriakopoulou
- Miek Schlangen
- R. Boom
- A. J. Goot
Citations in the corpus
- Texture methods for evaluating meat and meat analogue structures: A review (2021, methodology): “NIR HSI is already used for the detection and quantification of plant (texturized vegetable protein and gluten) and animal (chicken) based adulterants in minced beef and pork (Rady & Adedeji, 2018, 2020).”