Núñez-Sánchez N, Martínez-Marín A L, Polvillo O, Fernández-Cabanás V M, Carrizosa J, Urrutia B, Serradilla J M
Departamento de Producción Animal, Campus de Rabanales, Universidad de Córdoba, 14071 Córdoba, Spain.
Departamento de Producción Animal, Campus de Rabanales, Universidad de Córdoba, 14071 Córdoba, Spain.
Food Chem. 2016 Jan 1;190:244-252. doi: 10.1016/j.foodchem.2015.05.083. Epub 2015 May 19.
Milk fatty acid (FA) composition is important for the goat dairy industry because of its influence on cheese properties and human health. The aim of the present work was to evaluate the feasibility of NIRS reflectance (oven-dried milk using the DESIR method) and transflectance (liquid milk) analysis to predict milk FA profile and groups of fats in milk samples from individual goats. NIRS analysis of milk samples allowed to estimate FA contents and their ratios and indexes in fat with high precision and accuracy. In general, transflectance analysis gave better or similar results than reflectance mode. Interestingly, NIRS analysis allowed direct prediction of the Atherogenicity and Thrombogenicity indexes, which are useful for the interpretation of the nutritional value of goat milk. Therefore, the calibrations obtained in the present work confirm the viability of NIRS as a fast, reliable and effective analytical method to provide nutritional information of milk samples.
乳脂肪酸（FA）组成对山羊乳制品行业很重要，因为它会影响奶酪特性和人类健康。本研究的目的是评估近红外光谱反射法（使用DESIR方法对烘干乳进行检测）和透反射法（对液态乳进行检测）分析预测个体山羊乳样中乳脂肪酸谱及脂肪组别的可行性。对乳样进行近红外光谱分析能够高精度、准确地估计脂肪中脂肪酸含量及其比例和指数。总体而言，透反射法分析比反射法给出的结果更好或相似。有趣的是，近红外光谱分析能够直接预测致动脉粥样硬化指数和血栓形成指数，这对于解读山羊奶的营养价值很有用。因此，本研究获得的校准结果证实了近红外光谱作为一种快速、可靠且有效的分析方法来提供乳样营养信息的可行性。
