Discriminating traditional Coalho cheese by origin is important to ensure authenticity. The middle and near infrared spectroscopy and analytical measures associated with different chemometric approaches were used to characterise and discriminate Coalho cheese from different mesoregions of the State of Bahia, Brazil. Principal Component Analysis and Linear Discriminant Analysis were able to show the difference between cheeses. where better discrimination was observed using near infrared spectroscopy, which formed distinct groups by region and correct classification up to 90.00%. The infrared spectroscopy, especially the near infrared, showed to be very useful in the quick discrimination of cheeses according to their origin.
Infrared spectroscopy has been shown to be efficient in cheese authentication due to the advantages of high sensitivity and speed of analysis, especially when associated with chemometrics. This review discusses approaches on the authenticity, the principles of near‐ and middle‐infrared techniques and the importance of chemometrics for cheese authentication. The spectroscopic techniques proved to be promising for the cheese geographical origin identification, analysis of adulterants and monitoring of maturation stages. The application of principal component analysis, partial least squares and linear discriminant analysis associated with spectroscopy has provided powerful tools for the cheese authentication.
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