The separation and identification of the components in milk fat, which
are mainly triglycerides, is a challenge due to its complex compositi
on. A reverse-phase high-performance liquid chromatography (HPLC) meth
od with gradient elution and light-scattering detection is described i
n this paper for the triglyceride analysis in ewes' milk fat. Triglyce
ride identification was carried out by combining HPLC, gas-liquid chro
matography (GLC), and the calculated equivalent carbon numbers of seve
ral triglyceride standards. Quantitation of partially resolved peaks i
n the HPLC chromatogram was accomplished by applying a peak deconvolut
ion program. Forty-four fatty acids were identified by GLC analysis, b
ut only 19 were used for the following prediction of triglyceride mole
cular species; 181 triglycerides were identified, some of which were g
rouped at the same peak and needed application of the deconvolution pr
ogram. Consequently, coefficients of variation were close to or lower
than 5%. Moreover, the triglyceride composition of ewe, cow, and goat
milk fat were compared by using these methods. These results show that
ewe milk fat is richer in short- and medium-chain triglycerides, and
cow milk fat is richer;in long-chain and unsaturated triglycerides.