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Descripción
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| Recent work has shown that chemical composition and nutritive value of soybean meals (SBM) might differ with changes in agricultural practices and processing conditions in origin. Near infrared spectroscopy (NIRS) and colour measurements are versatile and inexpensive analytical techniques with ability to identify and classify food products and to detect improper processing conditions. The objective of this work was to assess the potential of NIRS and colour as rapid tools to discriminate SBM by origin (Brazil, BRA; Argentine, ARG; United States, USA). A total of 165 SBM samples of known origin were scanned using a monochromator instrument (Foss NIRSystems 5000) over the range 1100-2500 nm. Colour (CIELAB system) was also recorded in these samples using a Minolta colorimeter (model CR-300). The three sets of SBM samples were randomly split into a training set (ARG, n= 45; BRA, n=40; USA, n=50) used to develop linear discriminant models (option PLS2-DA, WinISI v.1.50) and a validation set (ARG, n= 10; BRA, n=10; USA, n= 10). The best classification model, selected by the lowest standard error of cross validation (SECV), yielded a SECV value of 0.263 with 94% of the samples classified correctly (93% for ARG; 88% for BRA, and 100% for USA, respectively). In the validation step, 90% of the samples were classified correctly (90% for ARG; 80% for BRA, and 100% for USA, respectively). Colour parameters of SBM samples differed (P<0.001) among origins, with the BRA meals being redder than the ARG and USA meals (6.09 vs. 5.34 and 5.33, respectively).The yellowness and luminosity were higher for the USA meals than for the South American meals (22.6 vs. 21.2 and 69.5 vs. 67.9, respectively). The results indicate that NIRS can be used as a reliable and accurate method to differentiate the SBM samples by origin, and that colour measurements can help to confirm these results. Both technologies can be readily applied for the quality control of SBM by the feed mill industry. | |
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Internacional
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Si |
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Nombre congreso
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98th Poultry Science Association Annual Meeting |
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Tipo de participación
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960 |
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Lugar del congreso
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Raleigh, North Carolina |
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Revisores
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Si |
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ISBN o ISSN
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0032-5791 |
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DOI
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Fecha inicio congreso
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20/07/2009 |
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Fecha fin congreso
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23/07/2009 |
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Desde la página
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1 |
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Hasta la página
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232 |
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Título de las actas
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Poultry Science, 88 (1): 1-232 |