2007
DOI: 10.1016/j.talanta.2006.03.052
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Coffee varietal differentiation based on near infrared spectroscopy

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Cited by 129 publications
(70 citation statements)
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“…The calibration models were validated using full cross-validation (Gomez et al, 2006). The prediction set was also used to validate the actual prediction ability of resulted models as an external test set (Esteban-Diez, Gonzalez-Saiz, Saenz-Gonzalez, & Pizarro, 2007). As shown in Table 2, the range of y-value in training set covered the range in the prediction set, therefore the distribution of the samples was appropriate in training and prediction set.…”
Section: Data Pretreatment and Analysismentioning
confidence: 99%
“…The calibration models were validated using full cross-validation (Gomez et al, 2006). The prediction set was also used to validate the actual prediction ability of resulted models as an external test set (Esteban-Diez, Gonzalez-Saiz, Saenz-Gonzalez, & Pizarro, 2007). As shown in Table 2, the range of y-value in training set covered the range in the prediction set, therefore the distribution of the samples was appropriate in training and prediction set.…”
Section: Data Pretreatment and Analysismentioning
confidence: 99%
“…However, finding adequate and sufficiently specific markers is not always a quick and reliable procedure and therefore the quality assurance study may be tackled by considering the chromatographic profiles as continuous and non-specific signals, avoiding a priori identification of compounds. In this sense, realisable classification strategies involving foodstuff fingerprints have been developed in recent studies by applying different chemometrical tools mainly over spectroscopic and spectrometric matrices directly acquired on untreated food product samples [32][33][34][35][36][37]. In the same way, chromatographic fingerprints have been studied in fields such as the petroleum industry and herbal medicine [38][39][40].…”
Section: Introductionmentioning
confidence: 99%
“…Near infrared reflectance spectroscopy has also been used for a discrimination of Arabica and Robusta coffees using direct orthogonal signal correction (30,31). The authors state that not only pure Arabica and Robusta samples can be analyzed but also blends.…”
Section: Coffee Authenticitymentioning
confidence: 99%