Mid-infrared (MIR) spectroscopy is used to address certain issues connected
with the authentication of beef and ox kidney and liver: is it possible to
distinguish muscle from offal tissue; does the condition, cut of meat, or
type of offal influence the distinction; can pure minced beef be distinguis
hed from that adulterated with offal? Using partial least squares (PLS) and
canonical variate analysis, predictive models are developed to identify MI
R spectra of beef, kidney, and liver. Using modified SIMCA, the pure beef s
pecimens are modeled as a single class; this model identifies spectra of un
adulterated beef as such, with an acceptable error rate, while rejecting sp
ectra of specimens containing 10-100% w/w kidney or liver. Finally, PLS reg
ressions are performed to quantify the amount of added offal. The predictio
n errors obtained (+/-4.8 and +/-4.0% w/w, respectively, for the kidney and
liver calibrations) are commensurate with the detection limits suggested b
y the SIMCA analysis.