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NIRS analysis of different meat sample preparations from veal calves and panel test prediction

机译：来自小牛犊和面板测试预测的不同肉类样品制剂的NIRS分析

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The aim of this study was to investigate the meat sample preparation methods and NIRS methodology to predict sensory scores of veal belonging to two ethnic groups and fed on different diets. Three preparations of longissimus thoracis samples, i.e., raw (RA), ethanol-prepared (ET), and freeze-dried (FD), were studied. Thirty-two male calves, 16 Friesian (F) and 16 Crossbreeds (C), were fed milk replacer, maize silage and 65 kg/calf (L) or 100 kg/calf (H) of maize grain. The meat analyses were: water, protein, fat, haem iron content, drip and cooking losses, colour, Warner-Bratzler shear (LAB), fatty acids profile (FA) and sensory evaluation on four attributes (Panel). The samples were scanned by a LabSpec-Pro (ASD) portable (UV-Vis-NIRS: 350-2500 nm), the FD samples were also analysed by an electronic nose. Chemometrics MPLS of the NIRS spectra and of LAB and FA were performed to get distance matrices between groups and prediction performances of Panel scores. The matrices reached different R2 levels: 0.65 (RA); 0.65 (ET); 0.62 (Panel); 0.42 (FD); 0.42 (LAB); 0.04 (FA) and 0.50 (E-nose of FD). Clusters from NIRS of raw samples corresponded to the same pattern obtained by LAB and FA. Prediction of Panel scores from the 32 veal calves were effective as R2 cross-validation of ET specimens were: Visual 0.11, Flavour 0.68, Texture 0.68 and Global 0.53. It was concluded that NIRS scan of RA samples anticipates results achieved by a wide set of laboratory analyses. NIRS analysis of ET samples exhibited strong predictive value of Panel scores.
机译：这项研究的目的是调查的肉样品的制备方法和近红外光谱的方法来预测属于两个族群分别喂以不同的饲料牛肉的感官评分。最长的三种制剂胸外科样品，即，原始（RA），乙醇制备的（ET），并冷冻干燥（FD），进行了研究。三十二个雄性小牛，16黑白花（F）和16个杂种（C），饲喂代乳品，玉米青贮和65公斤/小牛（L）或100公斤/小牛玉米籽粒的（H）。肉分析是：水，蛋白质，脂肪，血红素铁含量，点滴和烹饪损失，颜色，华纳 - BRATZLER剪切（LAB），脂肪酸轮廓（FA）和感官评价上四个属性（面板）。样品通过一个LabSpec-PRO（ASD）扫描便携式（紫外 - 可见 - 近红外光谱：350-2500纳米），则FD样品也通过电子鼻分析。化学计量学的NIRS光谱的MPLS和LAB的和FA进行以获得组和小组评分的预测性能之间的距离矩阵。矩阵达到不同水平R2：0.65（RA）; 0.65（ET）; 0.62（面板）; 0.42（FD）; 0.42（LAB）; 0.04（FA）和0.50（FD的E-鼻）。从原始样本的NIRS簇对应于由LAB和FA获得的相同的图案。从32头肉用小牛小组评分的预测是有效的作为ET标本R2交叉验证是：视觉0.11，天然香料0.68，质地0.68和0.53全球。得出的结论是NIRS扫描RA样品预计通过一系列广泛的实验室分析所取得的成果。 ET样品的NIRS分析显示面板分数强预测价值。

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