Supervised pattern recognition in food analysis.
By L. Berrueta, R. M. Alonso-Salces, Károly Héberger. Journal of Chromatography A, 2007
919 citations recorded by the source corpus.
Subfields: Analytical Chemistry, Biomedical Engineering, Spectroscopy
View Paper: https://www.semanticscholar.org/paper/c014ea63ebccad9c5809561e723cd00d896bcf6b
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Analytical Chemistry
In Biomedical Engineering
- Da‐Wen Sun
- M. Kamruzzaman
- Paul Allen
- Gamal ElMasry
- Elizabeth A. Baldwin
- R. Verpoorte
- Y. Choi
- H. K. Kim
In Spectroscopy
Citations in the corpus
- Electronic Noses and Tongues: Applications for the Food and Pharmaceutical Industries (2011, background): “There are several reviews on the subject of e-nose and e-tongue technology, including reviews on e-noses [11,12], biomimetic/biotechnology e-nose and/or e-tongue sensing systems [5,13-15], applications for e-noses and e-tongues [2,16], neural networks for e-noses [17], pattern recognition techniques”
- Principles and Applications of Hyperspectral Imaging in Quality Evaluation of Agro-Food Products: A Review (2012, background): “Instead, they learn these relationships through successive trainings (Berrueta et al., 2007).”
- Confirmation of brand identity in foods by near infrared transflectance spectroscopy using classification and class-modelling chemometric techniques — The example of a Belgian beer (2011, methodology): “A number of chemometric tools have been used in problems dealing with the confirmation of food quality attributes which involve multivariate data (Berrueta et al., 2007; Caetano et al., 2007; Casale, Casolino, Ferrari, & Forina, 2008).”
- NMR-based metabolomic analysis of plants (2010, methodology): “More information on the background and application of those methods can be found in several excellent review”