Nofima, P.O. Box 1425 Oasen, N-5844 Bergen, Norway.
Department of Chemistry, University of Bergen, Allégaten 41, N-5020 Bergen, Norway.
J Agric Food Chem. 2020 Mar 25;68(12):3881-3890. doi: 10.1021/acs.jafc.9b07828. Epub 2020 Mar 10.
Nuclear magnetic resonance (NMR) metabolomics profiling was evaluated as a new tool in sensory assessment of protein hydrolysates. Hydrolysates were produced on the basis of different raw materials (cod, salmon, and chicken), enzymes (Food Pro PNL and Bromelain), and hydrolysis time (10 and 50 min). The influence of raw material and hydrolysis parameters on sensory attributes was determined by traditional descriptive sensory analysis and H NMR spectroscopy. The raw material had a major influence on the attribute intensity and metabolite variation, followed by enzyme and hydrolysis time. However, the formation of bitter taste was not affected by the raw material. Partial least-squares regression (PLSR) on H NMR and sensory data provided good models ( = 0.55-0.89) for 11 of the 17 evaluated attributes, including bitterness. Significant metabolite-attribute associations were identified. The study confirms the potential prediction of the sensory properties of protein hydrolysates from cod, salmon, and chicken based on H NMR metabolomics profiling.
基于不同的原料(鳕鱼、三文鱼和鸡肉)、酶(Food Pro PNL 和菠萝蛋白酶)和水解时间(10 分钟和 50 分钟),对核磁共振(NMR)代谢组学分析进行了评估,以将其作为蛋白质水解产物感官评估的新工具。采用传统描述性感官分析和核磁共振波谱法,确定了原料和水解参数对感官属性的影响。结果表明:原料对属性强度和代谢物变化的影响最大,其次是酶和水解时间。然而,苦味的形成不受原料的影响。H NMR 和感官数据的偏最小二乘回归(PLSR)为 17 个评价属性中的 11 个提供了良好的模型(=0.55-0.89),包括苦味。还确定了显著的代谢物-属性关联。该研究证实了基于 NMR 代谢组学分析预测鳕鱼、三文鱼和鸡肉来源的蛋白质水解产物感官特性的潜力。