Protein Quality in Perspective: A Review of Protein Quality Metrics and Their Applications

被引:88
作者
Adhikari, Shiksha [1 ]
Schop, Marijke [2 ]
de Boer, Imke J. M. [2 ]
Huppertz, Thom [1 ,3 ]
机构
[1] Wageningen Univ & Res, Food Qual & Design Grp, NL-6708 WG Wageningen, Netherlands
[2] Wageningen Univ & Res, Anim Prod Syst Grp, NL-6708 WD Wageningen, Netherlands
[3] Friesland Campina, Res & Dev, NL-3818 LE Amersfoort, Netherlands
关键词
protein quality; indispensable amino acids; digestibility; food processing; complementarity; AMINO-ACID SCORE; STANDARDIZED ILEAL DIGESTIBILITY; BEAN PHASEOLUS-VULGARIS; DIETARY-PROTEIN; IN-VITRO; NUTRITIONAL QUALITY; GASTRIC DIGESTION; REACTIVE LYSINE; PARTICLE-SIZE; FOOD;
D O I
10.3390/nu14050947
中图分类号
R15 [营养卫生、食品卫生]; TS201 [基础科学];
学科分类号
100403 ;
摘要
For design of healthy and sustainable diets and food systems, it is important to consider not only the quantity but also the quality of nutrients. This is particularly important for proteins, given the large variability in amino acid composition and digestibility between dietary proteins. This article reviews measurements and metrics in relation to protein quality, but also their application. Protein quality methods based on concentrations and digestibility of individual amino acids are preferred, because they do not only allow ranking of proteins, but also assessment of complementarity of protein sources, although this should be considered only at a meal level and not a diet level. Measurements based on ileal digestibility are preferred over those on faecal digestibility to overcome the risk of overestimation of protein quality. Integration of protein quality on a dietary level should also be done based on measurements on an individual amino acid basis. Effects of processing, which is applied to all foods, should be considered as it can also affect protein quality through effects on digestibility and amino acid modification. Overall, protein quality data are crucial for integration into healthy and sustainable diets, but care is needed in data selection, interpretation and integration.
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页数:31
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