On the estimation of sugars concentrations using Raman spectroscopy and artificial neural networks

Author:

González-Viveros N.,Gómez-Gil P.,Castro-Ramos J.,Cerecedo-Núñez H.H.

Publisher

Elsevier BV

Subject

General Medicine,Food Science,Analytical Chemistry

Reference44 articles.

1. Simultaneous multiplexed quantification of nicotine and its metabolites using surface enhanced Raman scattering;Alharbi;Analyst,2014

2. Hyperspectral monitoring of fructose content in marzipan;Badak-Kerti;Progress in Agricultural Engineering Sciences,2018

3. Use of Artificial Neural Network in Pattern Recognition;Basu;International Journal of Software Engineering and its Applications,2010

4. Beale, M. H., Hagan, T. M. & Demuth, H. B. (2010). Neural Network Toolbox ™ 7 User ’ s Guide. MathWorks.

5. Application of Raman spectroscopy in type 2 diabetes screening in blood using leucine and isoleucine aminoacids as biomarkers and in comparative anti-diabetic drugs efficacy studies;Birech;PLOS ONE,2017

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