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On-line NIR analysis of fat, water and protein in industrial scale ground meat batches

机译:工业规模碎肉批次中脂肪,水和蛋白质的在线NIR分析

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Fat, water and protein contents in industrial scale meat batches were determined on-line by near infrared (NIR) reflectance spectroscopy. The NIR instrument was mounted at the outlet of a large meat grinder, and the measurements were performed in an industrial environment. Beef and pork samples, with chemical compositions of 7-26/100 fat, 58-75/100 water and 15-21/100 protein, were processed with hole diameters of 13 mm in the grinder plate. Calibrations were made both for a combined set of beef and pork samples, and for separate sets of beef and pork samples. Validations were either done by full cross validation of the calibration set, or by bias corrected prediction of a test set. Prediction errors for the two sample sets, expressed as root mean square errors of cross validation or standard error of prediction, were in the ranges 0.82-1.49/100 fat, 0.94-1.33/100 water and 0.35-0.70/100 protein, depend- ing of sample set and species of animal. The presented application is an improvement to the existing manual meat standardisation procedure, and has been implemented for regular use in a Norwegian meat manufacturing plant.
机译:工业规模肉批次中的脂肪,水和蛋白质含量通过近红外(NIR)反射光谱法在线确定。 NIR仪器安装在大型绞肉机的出口,并且测量是在工业环境中进行的。牛肉和猪肉样品的化学成分为7-26 / 100脂肪,58-75 / 100水和15-21 / 100蛋白质,在磨盘中的孔径为13 mm。对牛肉和猪肉的组合样品以及牛肉和猪肉的样品分别进行校准。可以通过对校准集进行完全交叉验证,也可以通过对测试集进行偏差校正预测来进行验证。这两个样本集的预测误差表示为交叉验证的均方根误差或预测的标准误差,范围为0.82-1.49 / 100脂肪,0.94-1.33 / 100水和0.35-0.70 / 100蛋白质,具体取决于-样本集和动物种类。提出的申请是对现有手动肉类标准化程序的改进,并已在挪威的肉类制造工厂中实现了常规使用。

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