Data fusion methodologies for food and beverage authentication and quality assessment - a review.

By E. Borras, J. Ferré, R. Boqué, M. Mestres, L. Aceña, O. Busto. Analytica Chimica Acta, 2015

644 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Biomedical Engineering, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/37d5fbf26e8dcb146f08abe5ba55d1f9fac9a238

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Nádia Reis
2. B. G. Botelho
3. A. S. Franca
4. L. S. Oliveira
5. V. Brusic
6. C. Georgiou
7. G. Danezis
8. F. Camin

Citations in the corpus

• Simultaneous Detection of Multiple Adulterants in Ground Roasted Coffee by ATR-FTIR Spectroscopy and Data Fusion (2017, methodology): “The use of DF in chemometric analysis presents some advantages, such as higher noise-to-signal ratio, more robust and reliable models, better resolution, and uncertainty reduction (Borràs et al. 2015).”
• Food authentication: Techniques, trends & emerging approaches (2016, background): “Chemometrics [30] and bioinformatics [31] tools are fundamental for food authentication studies since huge amounts of data need to be handled.”