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Contribution of light scattering to near infrared absorption in milk

机译:光散射对牛奶中近红外吸收的贡献

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摘要

The presence of milk fat globule emulsion produces scattering phenomena on near infrared (NIR) radiation through the raw milk. Numerically, 80% of milk fat globules have a diameter of less than 3pm interfering with the radiation having a wavelength from 1 μm to 2.5pm with a radiation dispersion in all directions. Consequently, the NIR transmitted radiation does not behave in accordance with Lambert-Beer's law: the NIR spectra of milk samples with high fat content have high offset values and lower specific absorptions than those of samples with lower fat levels. Usually, this problem is reduced by acting at the level of sample preparation (homogenisation), of optical geometry (transflectance mode coupled with the use of an integrating sphere to collect the widespread radiation) and using chemometric regression models able to optimise non-linear spectral responses. Transmittance measurements have already been exploited for the determination of macro-composition in the agro-food and in the dairy fields. In this work, a set of 150 individual milk samples, collected over three days from a single farm with 49 milking cows, was analysed with Fourier transform-NIR apparatus in order to study the effects of scattering on partial least squares predictors for casein. The spectra of non-homogenised raw whole milk and the respective skimmed samples were collected in transmission mode. Using the true scattering curves obtained by subtraction from the raw milk spectra of skimmed milk spectra the extended multiplicative scatter correction (EMSC) estimate of scattering effects was optimised. EMSC uses polynomial filters in modelling the aspecific absorptions due to the scattering effects. The correct scatter elimination can help in the individuation and interpretation of the true predictors in calibration procedures.
机译:乳脂球状乳剂的存在会在通过生乳的近红外(NIR)辐射上产生散射现象。在数值上,80%的乳脂小球的直径小于3pm,干扰波长范围为1μm至2.5pm的辐射,且辐射在所有方向上均分散。因此,NIR透射辐射不符合Lambert-Beer定律:与脂肪含量较低的样品相比,高脂肪含量的牛奶样品的NIR光谱具有较高的偏移值和较低的比吸收率。通常,通过在样品制备(均质化),光学几何形状(透射模式与使用积分球收集广泛的辐射的耦合)以及使用能够优化非线性光谱的化学计量回归模型上解决该问题回应。透射率测量已被用于确定农业食品和乳制品领域中的宏观组成。在这项工作中,使用傅里叶变换-NIR仪器分析了从一个拥有49头奶牛的单一农场在三天内收集的150份单独的牛奶样品,以研究散射对酪蛋白偏最小二乘预测因子的影响。未均化的全脂原奶和各自的脱脂样品的光谱以透射模式收集。使用通过从脱脂牛奶光谱的原始牛奶光谱中减去而获得的真实散射曲线,可以优化散射效应的扩展乘法散射校正(EMSC)估计。由于散射效应,EMSC使用多项式滤波器对非特异性吸收进行建模。正确消除散射可以帮助在校准过程中区分和解释真正的预测变量。

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