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Random forest as one-class classifier and infrared spectroscopy for food adulteration detection.
Food Chem. 2019 Sep 30;293:323-332. doi: 10.1016/j.foodchem.2019.04.073. Epub 2019 Apr 27.
Food Chem. 2019.
PMID: 31151619
Portable NIR spectrometer for quick identification of fat bloom in chocolates.
Gatti RF, de Santana FB, Poppi RJ, Ferreira DS.
Gatti RF, et al. Among authors: de santana fb.
Food Chem. 2021 Apr 16;342:128267. doi: 10.1016/j.foodchem.2020.128267. Epub 2020 Oct 8.
Food Chem. 2021.
PMID: 33067047
Free article.
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Quantification of adulterations in extra virgin flaxseed oil using MIR and PLS.
de Souza LM, de Santana FB, Gontijo LC, Mazivila SJ, Borges Neto W.
de Souza LM, et al. Among authors: de santana fb.
Food Chem. 2015 Sep 1;182:35-40. doi: 10.1016/j.foodchem.2015.02.081. Epub 2015 Feb 27.
Food Chem. 2015.
PMID: 25842305
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Green methodology for soil organic matter analysis using a national near infrared spectral library in tandem with learning machine.
de Santana FB, de Souza AM, Poppi RJ.
de Santana FB, et al.
Sci Total Environ. 2019 Mar 25;658:895-900. doi: 10.1016/j.scitotenv.2018.12.263. Epub 2018 Dec 18.
Sci Total Environ. 2019.
PMID: 30583184
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Visible and near infrared spectroscopy coupled to random forest to quantify some soil quality parameters.
de Santana FB, de Souza AM, Poppi RJ.
de Santana FB, et al.
Spectrochim Acta A Mol Biomol Spectrosc. 2018 Feb 15;191:454-462. doi: 10.1016/j.saa.2017.10.052. Epub 2017 Oct 19.
Spectrochim Acta A Mol Biomol Spectrosc. 2018.
PMID: 29080499
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