2016
DOI: 10.1039/c6ay01325b
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Determination of the geographical origin and ethanol content of Brazilian sugarcane spirit using near-infrared spectroscopy coupled with discriminant analysis

Abstract: 18Aguardente is a typical Brazilian spirit produced by the distillation of sugarcane most. The 19 valorisation of this spirit can be attributed to its notoriety, related to the production origin which can 20 influence its quality. Therefore, the objective of this study was to use NIR spectroscopy coupled with 21 discriminant analysis as a non-destructive method to attribute authenticity of aguardentes produced 22 in two geographic regions and to predict the ethanol content. Some chemometric methods were used 2… Show more

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Cited by 23 publications
(11 citation statements)
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“…This technique provides rapid, markerfree, non-destructive analysis of biological samples [39]. Applications of ATR-FTIR studies in plants now include identification of plants from different growing regions [40][41][42]; plant response to abiotic factors such as soil fertility [43], heavy metals [44,45], water and temperature stress [46], nutrient deficiency and uptake [47,48]; as well as monitoring plant health and development [49][50][51] and infection [52].…”
Section: Introductionmentioning
confidence: 99%
“…This technique provides rapid, markerfree, non-destructive analysis of biological samples [39]. Applications of ATR-FTIR studies in plants now include identification of plants from different growing regions [40][41][42]; plant response to abiotic factors such as soil fertility [43], heavy metals [44,45], water and temperature stress [46], nutrient deficiency and uptake [47,48]; as well as monitoring plant health and development [49][50][51] and infection [52].…”
Section: Introductionmentioning
confidence: 99%
“…The samples were evaluated using NIR spectroscopy, and the mixing ratios of the samples were classified using LDA. Carvalho et al performed LDA with raw NIR spectra and preprocessed NIR spectra using MSC and S-G methods to distinguish the geographical origin of sugarcane [49]. The accuracy of LDA was higher for the preprocessed spectra compared to that of the raw spectrum.…”
Section: Discrimination Of Sweet Potatoes By Nirmentioning
confidence: 99%
“…Principal component analysis (PCA) transforms the original data variables into new orthogonal variables through linear transformation, and uses the new orthogonal variables to express the data characteristics of the original variables as much as possible [39,40]. The new orthogonal variables are called principal components (PCs).…”
Section: Principal Component Analysismentioning
confidence: 99%