A simple and practical control of the authenticity of organic sugarcane samples based on the use of machine-learning algorithms and trace elements determination by inductively coupled plasma mass spectrometry

Author:

Barbosa Rommel M.,Batista Bruno L.,Barião Camila V.,Varrique Renan M.,Coelho Vinicius A.,Campiglia Andres D.,Barbosa Fernando

Funder

Fundação de Amparo à Pesquisa do Estado de São Paulo

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Publisher

Elsevier BV

Subject

General Medicine,Food Science,Analytical Chemistry

Reference30 articles.

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3. Recognition of the geographical origino f beer based on support vector machines applied to chemical descriptors;Alcazar;Food Control,2012

4. Maize authentication: Quality control methods and multivariate analysis (chemometrics);Arvanitoyannis;Critical Reviews in Food Science Nutrition,2009

5. The use of advanced chemometric techniques and trace element levels for controlling the authenticity of organic coffee;Barbosa;Food Research International,2013

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