De Marchi Massimo, Manuelian Carmen L, Ton Sofia, Cassandro Martino, Penasa Mauro
Department of Agronomy, Food, Natural resources, Animals and Environment (DAFNAE), University of Padova, Legnaro, PD, Italy.
J Sci Food Agric. 2018 Jan;98(1):64-73. doi: 10.1002/jsfa.8438. Epub 2017 Jun 23.
The new European Regulation 1169/2011 concerning nutrition declaration of food products compels the addition of saturated fatty acids, whereas the declaration of monounsaturated and polyunsaturated fatty acids remains voluntary. Therefore, the industry is interested in a more rapid, easy and less cost-effective analysis method for accomplishing this labelling regulation. The present study aimed to evaluate the ability of near infrared transmittance spectroscopy (wavelengths between 850 and 1050 nm) to predict the fatty acid (FA) composition of commercial processed meat samples (n = 310).
Good predictions were achieved for the absolute content of saturated, unsaturated, monounsaturated and polyunsaturated FA, as well as ω-6 groups, and also for a few individual FA (C16:0, C18:0, C18:1n9, C18:2n6 and 18:1n7), with the coefficient of determination in cross-validation being > 0.90 and the residual prediction deviation being > 3.15. Unsatisfactory models were obtained for the relative content of FA.
Near infrared transmittance spectroscopy can be considered as a reliable method for predicting the main groups of FA in processed meat products, whereas predictions of individual FA are less reliable. © 2017 Society of Chemical Industry.
新的欧洲法规1169/2011涉及食品营养声明,要求添加饱和脂肪酸,而单不饱和脂肪酸和多不饱和脂肪酸的声明仍为自愿性。因此,食品行业对一种更快速、简便且成本效益较低的分析方法感兴趣,以完成该标签规定。本研究旨在评估近红外透射光谱法(波长在850至1050纳米之间)预测商业加工肉类样品(n = 310)中脂肪酸(FA)组成的能力。
对于饱和、不饱和、单不饱和和多不饱和脂肪酸的绝对含量,以及ω-6组,还有一些个别脂肪酸(C16:0、C18:0、C18:1n9、C18:2n6和18:1n7),预测效果良好,交叉验证的决定系数> 0.90,残差预测偏差> 3.15。对于脂肪酸的相对含量,得到的模型效果不理想。
近红外透射光谱法可被视为预测加工肉类产品中主要脂肪酸组的可靠方法,而个别脂肪酸的预测可靠性较低。© 2017化学工业协会。