The addition of PO results in an altered shape of the melting
curve (a shift of peaks for the low, medium and high melting
fractions), which was manifested in changes in thermodynamic
melting parameters (temperature, area and height of peaks). Based
on different DSC parameters of the melting curve various models of
simple and multiple linear regression were tested. The resulting
equations facilitated the prediction of PO contents in adulterated BF
samples. The accuracy of the DSC method, expressed as bias (b) and
recovery (R), was compared with the results recorded by the Offi-
cial method. The bias value for all of the tested models ranged from
0.75 to 2.41, while for the Official method it was equal to 2.2. In the
case of the parameter of recovery (R) for all models, the recorded
values ranged from 88.1 to 103.6%, while for the reference method
it was 89.2%. However, the reference method proved to be more
accurate in the case of a low concentration of 5%. Generally, the
greatest applicability was found for MLR model including four in-
dependent variables (DH1/DH2, DH1/DH3, h1/h2, h1/h3) for which
the mean value of bias and recovery amounted to 0.84 and 90.7%,
and coefficients of correlation to 0.999. By considering all of the
results obtained, it may be concluded that the DSC technique is
suitable for the quantitative assessment of the adulteration of
butter with palm oil. Also, advantages of the DSC method are worth
noting such as the short time of analysis, a lack of harmful chem-
icals, the minimal steps of sample preparation, as well as the small
amount of samples, which may be analyzed several times, because
it is not a destructive method.