A data fusion model merging information from near infrared spectroscopy and X-ray fluorescence. Searching for atomic-molecular correlations to predict and characterize the composition of coffee blends-Reference-Cited by-同舟云学术

A data fusion model merging information from near infrared spectroscopy and X-ray fluorescence. Searching for atomic-molecular correlations to predict and characterize the composition of coffee blends

Published:2020-09 Issue: Volume:325 Page:126953
ISSN:0308-8146
Container-title:Food Chemistry
language:en
Short-container-title:Food Chemistry

Author:

Assis Camila,Gama Ednilton Moreira,Nascentes Clésia Cristina,de Oliveira Leandro Soares,Anzanello Michel José,Sena Marcelo Martins

Publisher

Elsevier BV

Subject

General Medicine,Food Science,Analytical Chemistry

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4. Combining mid infrared spectroscopy and paper spray mass spectrometry in a data fusion model to predict the composition of coffee blends;Assis;Food Chemistry,2019

5. Simultaneous determination by NIR spectroscopy of the roasting degree and Arabica / Robusta ratio in roasted and ground coffee;Bertone;Food Control,2016

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