Development of global fatty acid models and possible applications

被引：11

作者：

Schwarz, Daniel ^{[1
]}

Bak, Marie Rosenberg ^{[1
]}

Hansen, Per Waaben ^{[1
,2
]}

机构：

[1] FOSS Analyt AS, Nils Foss Alle 1, DK-3400 Hillerod, Denmark

[2] Univ Copenhagen, Fac Sci, Dept Food Sci, Rolighedsvej 26, DK-1958 Frederiksberg, Denmark

来源：

INTERNATIONAL JOURNAL OF DAIRY TECHNOLOGY | 2022年 / 75卷 / 01期

关键词：

Milk fatty acid; Fatty acid composition; Fourier transform infrared; Dairy cow nutrition; Dairy product; MILK-FAT; INFRARED-SPECTROSCOPY; BOVINE-MILK; MIDINFRARED SPECTROSCOPY; DAIRY-COWS; PREDICTION; BUTTER; DIET; MANAGEMENT; NUTRITION;

D O I：

10.1111/1471-0307.12820

中图分类号：

TS2 [食品工业];

学科分类号：

0832 ;

摘要：

Milk fat is an important nutrient for young animals and humans, and its composition [fatty acids (FA)] may vary broadly. The objective of this study was to describe the development of global FA models for high-throughput Fourier transform infrared milk analysers. The developed models for major FA, FA grouped by chain length, by degree of unsaturation and by their origin, showed good accuracy, repeatability and correlation to gas chromatography. Moderate performance was obtained for low concentration FA (short chain, polyunsaturated and trans). Possible practical applications could be to enhance dairy products, optimise milk processing and/or optimise dairy cow performance through improved feeding and management.

引用

页码：4 / 20

页数：17

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