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Application of near infrared spectroscopy to estimate selected free amino acids and soluble nitrogen during cheese ripening

机译:应用近红外光谱法估算奶酪成熟过程中选择的游离氨基酸和可溶性氮

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摘要

This paper deals with the estimation of tyrosine, tryptophan and soluble nitrogen in 288 samples of the Edam cheese using the Near Infrared Spectroscopy. For analyses, the apparatus NIR Nicolet Antaris was used working in the regime of reflectance (i.e. using an integrating sphere) in combination with fibre optics (i.e. using a probe). For calibration, reference data from the UV spectrophotometer was used. Calibration models were developed using a PLS algorithm (least square method) and tested by means of cross-validation. Correlation coefficients: R = 0.911, R = 0.929 and R = 0.959 for soluble nitrogen, tryptophan and tyrosine, respectively, were achieved during measuring in the integrating sphere; R = 0.807, R = 0.945, R = 0.928 were achieved for soluble nitrogen, tryptophan and tyrosine, respectively, during measuring by probe. The results of the study show that NIR technology is suitable for fast and approximate determination of the level of cheese ripening. This can be used for the evaluation of the material for the processed cheese production, or cheese sale in optimal level of ripening.
机译:本文利用近红外光谱法估算了288份伊丹干酪中的酪氨酸,色氨酸和可溶性氮。为了进行分析,使用了NIR Nicolet Antaris仪器,该仪器以反射率(即使用积分球)与光纤(即使用探头)结合使用。为了进行校准,使用了来自紫外分光光度计的参考数据。使用PLS算法(最小二乘法)开发校准模型,并通过交叉验证进行测试。在积分球测量过程中,可溶氮,色氨酸和酪氨酸的相关系数分别为R = 0.911,R = 0.929和R = 0.959。在通过探针测量的过程中,可溶性氮,色氨酸和酪氨酸分别达到R = 0.807,R = 0.945,R = 0.928。研究结果表明,NIR技术适用于快速,近似地确定奶酪成熟度。这可用于评估加工奶酪生产的材料,或以最佳成熟水平出售奶酪。

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