CREA - Research Center for Food and Nutrition, Via Ardeatina 546, Rome, Italy.
CREA - Research Center for Food and Nutrition, Via Ardeatina 546, Rome, Italy.
Food Chem. 2018 Nov 30;267:223-230. doi: 10.1016/j.foodchem.2017.11.042. Epub 2017 Nov 11.
The aim of the study was to investigate the feasibility of Fourier Transformed Infrared Spectroscopy (FTIR) on Attenuated Total Reflectance (ATR) in the determination of the fatty acid content in meat and meat products. The Multivariate calibrations were developed and proposed for Saturated Fatty Acids (SFA), Monounsatured Fatty Acids (MUFA), Polyunsatured Fatty Acids (PUFA) and Palmitic Acid. SFA and MUFA models, developed using the first derivative and the selected region 3022.33-650.15 cm, gave the best performance, with a coefficient of calibration r 0.9834 and 0.9775, respectively, and the relative Root Mean Square Error of Calibration (RMSEC) 0.594 and 0.699. The best model for PUFA was obtained for region 4000.12-650.15 using the first derivative (r 0.9817, RMSEC 0.724). Palmitic acid, chosen as the case study of single fatty acids, showed a best linear regression for the first derivative approach in region 4000.12-650.15. Results were less satisfactory in prediction in the proposed models.
本研究旨在探讨傅里叶变换衰减全反射（ATR）红外光谱（FTIR）在测定肉类及肉类产品中脂肪酸含量的可行性。建立并提出了多元校正模型，用于测定饱和脂肪酸（SFA）、单不饱和脂肪酸（MUFA）、多不饱和脂肪酸（PUFA）和棕榈酸。使用一阶导数和选定的区域 3022.33-650.15 cm 建立的 SFA 和 MUFA 模型表现最佳，其校准系数 r 分别为 0.9834 和 0.9775，相对校准均方根误差（RMSEC）分别为 0.594 和 0.699。对于 PUFA，使用一阶导数在 4000.12-650.15 区域获得了最佳模型（r 0.9817，RMSEC 0.724）。选择棕榈酸作为单脂肪酸的案例研究，在 4000.12-650.15 区域，其最佳线性回归来自于一阶导数方法。在提出的模型中，预测结果不太理想。
