Prediction of quality parameters of food residues using NIR spectroscopy and PLS models based on proximate analysis
Abstract The real-time prediction in biorefinery industries has become essential. Models using partial least square regression (PLS) were developed to predict moisture, ash, volatile matter, fixed carbon and organic matter of coconut and coffee residues. In this study, 49 samples were collected and...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Sociedade Brasileira de Ciência e Tecnologia de Alimentos
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| Series: | Food Science and Technology |
| Subjects: | |
| Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0101-20612020000200444&lng=en&tlng=en |