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Prediction of quality parameters of food residues using NIR spectroscopy and PLS models based on proximate analysis

Overview of attention for article published in Food Science and Technology, June 2020
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1 X user

Citations

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35 Mendeley
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Title
Prediction of quality parameters of food residues using NIR spectroscopy and PLS models based on proximate analysis
Published in
Food Science and Technology, June 2020
DOI 10.1590/fst.02119
Authors

Magale Karine Diel RAMBO, Márcia Miguel Castro FERREIRA, Polyana Morais de MELO, Claúdio Carneiro SANTANA, Daniel Assumpção BERTUOL, Michele Cristiane Diel RAMBO

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 23%
Student > Master 4 11%
Student > Ph. D. Student 3 9%
Student > Bachelor 2 6%
Professor 2 6%
Other 6 17%
Unknown 10 29%
Readers by discipline Count As %
Engineering 8 23%
Agricultural and Biological Sciences 6 17%
Chemistry 3 9%
Environmental Science 2 6%
Energy 2 6%
Other 0 0%
Unknown 14 40%