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| Prache,Sophie. |
| There is currently an increased consumer demand for information on herbivore production factors, particularly animal diet. To meet these demands, producers and commercial entities develop specifications via quality certifications. There is therefore a need for analytical tools that may guarantee that the specification commitments have been fully met or to help with constructing them. The present paper reviews the current state of knowledge concerning diet authentication in sheep meat and milk, the different approaches that have been investigated, some leading examples concerning the discrimination of contrasting feeding situations, together with the persistence of some diet markers in the event of changes in animals' diet. The nature of the diet strongly... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Authentication; Diet tracers; Meat; NIR spectroscopy; Pasture-feeding; Reflectance. |
| Ano: 2009 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982009001300036 |
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| bagherpour, hossein. |
| Near-Infrared (NIR) spectroscopy gives information about the chemical properties of objects, and it is of particular interest for agricultural and food science applications given its rapid and non-destructive nature. This paper presents a study on the prediction of protein content in whole wheat kernels by NIR, comparing two statistical discriminant analysis techniques, namely PLS-DA and LDA, to classify wheat varieties and protein levels at the farm’s site. Data were collected from 3 varieties collected from 9 farms located in the same region, with a total of 54 samples analyzed. The NIR spectrometer used had a range of 950-1650 nm and it was used to classify different wheat samples according to their varieties and protein level. The optimal spectral... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: NIR spectroscopy; Wheat protein; Wheat variety identification; Protein variability. |
| Ano: 2022 |
URL: http://www.cigrjournal.org/index.php/Ejounral/article/view/7205 |
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| BUENO,RAFAEL D.; BORGES,LEANDRO L.; GOD,PEDRO I.V. GOOD; PIOVESAN,NEWTON D.; TEIXEIRA,ARLINDO I.; CRUZ,COSME DAMIÃO; BARROS,EVERALDO G. DE. |
| ABSTRACT Soybeans contain about 30% carbohydrate, mainly consisting of non-starch polysaccharides (NSP) and oligosaccharides. NSP are not hydrolyzed in the gastrointestinal tract of monogastric animals. These NSP negatively affect the development of these animals, especially the soluble fraction. This work aimed to establish a method to quantify NSP in soybeans, using high performance liquid chromatography (HPLC), and to estimate correlations between NSP, oligosaccharides, protein and oil. Sucrose, raffinose + stachyose, soluble and insoluble NSP contents were determined by HPLC. Oil and protein contents were determined by near-infrared spectroscopy (NIRS). The soluble PNAs content showed no significant correlation with protein, oil, sucrose and raffinose... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Soybean; Carbohydrates; Anti-nutritional factors; Quantitative analysis; HPLC; NIR spectroscopy. |
| Ano: 2018 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652018000100205 |
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| Santos,Antonio Odair; Wample,Robert L.; Sachidhanantham,Sivakumar; Kaye,Oren. |
| An experiment was carried out from 2005 to 2008, to calibrated NIR-based instrumentation and explore within field grape quality variability and map potential grape quality descriptors along vineyards, as a subsidy for differential harvesting,. The quality indicators (anthocyanin content, pH, titratable acidity and soluble solids) were subject to geo-spatial modeling. Subsequently, the data set was utilized to delineate "within-field" grape quality zone and to determine the timing of the harvest. Differential machine harvesting was implemented and segregation of wine grapes was done "on-the-go". The approach for field prediction of grape quality parameters and zone delineation allowed for separated fermentation for at least two wine styles. |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: NIR spectroscopy; Grape; Wine. |
| Ano: 2012 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132012000200003 |
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