2000
DOI: 10.1366/0003702001950733
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Oil and Fat Classification by Selected Bands of Near-Infrared Spectroscopy

Abstract: One hundred and four edible oil and fat samples from 18 different sources, either vegetable (Brazil nut, coconut, corn, sunflower, walnut, virgin olive, peanut, palm, canola, soybean, sunflower) or animal (tallow and hydrogenated fish), have been analyzed by high-performance gas chromatography (HPGC) and near-infrared spectroscopy (NIRS). Fatty acids were quantified by HPGC. The near-infrared spectral features of the most noteworthy bands were studied and discussed to design a filter-type NIR instrument. An ar… Show more

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Cited by 227 publications
(193 citation statements)
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“…The assignments for the relevant NIR bands are given in Table 1. 22,26,27 There are very small differences near 5260 cm -1 . These small differences can easily be exploited by multivariate data analysis.…”
mentioning
confidence: 96%
“…The assignments for the relevant NIR bands are given in Table 1. 22,26,27 There are very small differences near 5260 cm -1 . These small differences can easily be exploited by multivariate data analysis.…”
mentioning
confidence: 96%
“…Four regions were established to estimate the equation, according to Hourant et al (2000), including regions B (1,300-1,600 nm), C (1,600-1,850 nm), D (1,850-2,050 nm), and E (2,050-2,230 nm). Based on the first derivative, the highest absorption peaks occurred in regions C, D, and F (2,230-2,500 nm).…”
Section: Predição Do Teor De óLeo Em Sementes De Canola Por Espectrosmentioning
confidence: 99%
“…Region C contains bands in the spectrum that are characteristic of the first C-H stretching overtones of methylene (CH 2 ), methyl (CH 3 ), and ethenyl (-CH=CH-) groups. Region D contains bands that are characteristic of a combination of C-H stretching bands from ethenyl and OH (hydroxyl) groups in water (Hourant et al, 2000). Despite the presence of Pesq.…”
Section: Predição Do Teor De óLeo Em Sementes De Canola Por Espectrosmentioning
confidence: 99%
“…In fact the application of optical on-line NIR sensor for olive oil characterization is an appealing approach for real-time chemical evaluation, allowing the estimation of acid value, bitter taste (K 255 ) and fatty acids (Marquez et al 2005). Near infrared spectroscopy has been valuable for the assessment of physicochemical parameters of vegetable oils (Sato 1994;Hourant et al 2000;Takamura et al 1995;Franco et al 2006). Infrared spectroscopy (NIR and MID), has also been applied successfully for olive oil evaluation and geographical origin determination using chemometric approaches (Tapp et al 2003;Iñón et al 2003;Galtier et al 2007).…”
Section: Quantification Of Chemical Parameters In Olive Oilmentioning
confidence: 99%
“…Analytical methods applied in the examination of chemical composition include the determination of fatty acid profiles by gas liquid chromatography (Firestone et al 1988), high-pressure liquid chromatography (Cortesi 1993;Mariani & Fedeli 1993), pyrolysis mass spectrometry (Goodacre et al 1993), measurement of iodine values and many other determinations. Rapid, non destructive spectroscopic methods such as Raman (Davies et al 2000), ultraviolet (Calapaj et al 1993), MID-IR (Lai et al 1995;Dupuy et al 1996;Guillen & Cabo 1999;Küpper et al 2001) and NIR (Wesley et al 1995;Bewig et al 1994;Sato 1994;Wesley et al 1996;Hourant et al 2000) have all been applied to quantify adulterants in olive oil.…”
Section: Identification and Quantification Of Olive Oil Adulterantsmentioning
confidence: 99%