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Estimating dry matter and fat content in blocks of Swiss cheese during production using on-line near infrared spectroscopy

机译:在生产过程中使用在线近红外光谱法在生产过程中估算瑞士奶酪块中的干物质和脂肪含量

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Modern dairy factories produce thousands of cheese blocks per day. Cheese quality is partly defined by the concentration of dry matter and fat. In this study, we evaluated three different near infrared spectroscopy instruments for on-line determination of fat and dry matter in cheese blocks of approx. size 35 x 28 x 12 cm: scanning reflection (908-1676 nm), scanning interaction (760-1040 nm), and imaging interaction measurements (760-1040 nm). The near infrared measurements were performed on fresh cheese blocks in a pilot plant at three different critical control points (CCP): (CCP1) before pressing, (CCP2) after pressing, and (CCP3) after salting. A total of 160 cheeses from 10 production batches were measured. Whereas near infrared measurements were obtained from the surface of the cheese blocks, the reference analysis was done on a cross-section of the cheese blocks. In general, good results were obtained regressing the reference values onto the near infrared measurements using partial least squares regression. For example, using near infrared scanning reflection at CCP2 yielded root mean squared errors of cross-validation on 0.44% and 0.64% for fat and dry matter, respectively. Hence, surface chemistry of cheese blocks were representative for the average chemistry of the blocks. Furthermore, this study finds that it is possible to predict fat and dry matter at CCP3 based on near infrared measurements obtained at CCP1 earlier in the process. This enables improved control of the cheese making process, as it is possible to detect deviations from target quality early in the production process.
机译:现代乳制品工厂每天生产成千上万的奶酪块。奶酪质量部分地由干物质和脂肪的浓度定义。在这项研究中,我们评估了三种不同的近红外光谱仪器,用于在线测定奶酪块的脂肪和干物质。尺寸35 x 28 x 12 cm:扫描反射(908-1676 nm),扫描相互作用(760-1040nm)和成像交互测量(760-1040 nm)。在三种不同的临界控制点(CCP1)在三种不同的临界控制点(CCP1)的近三种不同的临界控制点(CCP1)之前对近红外测量进行了近红外测量,在压制后(CCP2)和盐酸后(CCP3)。测量来自10种生产批次的总共160个奶酪。虽然从乳酪块的表面获得近红外测量,但在奶酪块的横截面上进行了参考分析。通常,获得良好的结果,将参考值回归到近红外测量到近红外测量,使用偏重最小二乘回归。例如,在CCP2的近红外扫描反射中,分别产生脂肪和干物质的0.44%和0.64%的交叉验证的根均匀误差。因此,乳酪块的表面化学是块的平均化学的代表性。此外,该研究发现,基于在该过程中早期在CCP1获得的近红外测量值,可以在CCP3中预测CCP3的脂肪和干物质。这使得能够改善对奶酪制造过程的控制,因为它可以在生产过程中早期检测与目标质量的偏差。

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