Animal Species Authentication in Dairy Products uri icon

abstract

  • Milk is one of the most important nutritious foods, widely consumed worldwide, either in its natural form or via dairy products. Currently, several economic, health and ethical issues emphasize the need for a more frequent and rigorous quality control of dairy products and the importance of detecting adulterations in these products. For this reason, several conventional and advanced techniques have been proposed, aiming at detecting and quantifying eventual adulterations, preferentially in a rapid, cost-effective, easy to implement, sensitive and specific way. They have relied mostly on electrophoretic, chromatographic and immunoenzymatic techniques. More recently, mass spectrometry, spectroscopic methods (near infrared (NIR), mid infrared (MIR), nuclear magnetic resonance (NMR) and front face fluorescence coupled to chemometrics), DNA analysis (real-time PCR, high-resolution melting analysis, next generation sequencing and droplet digital PCR) and biosensors have been advanced as innovative tools for dairy product authentication. Milk substitution from high-valued species with lower-cost bovine milk is one of the most frequent adulteration practices. Therefore, this review intends to describe the most relevant developments regarding the current and advanced analytical methodologies applied to species authentication of milk and dairy products.
  • This work was funded by national funds (FCT, Fundação para a Ciência e Tecnologia) through the strategic funding of CIMO (UIDB/00690/2020) and LAQV-REQUIMTE (UIDB/50006/2020, UIDP/50006/2020). This study was also supported by the European Union through European Regional Development Fund (NORTE-01-0145-FEDER-000052) and SYSTEMIC (Knowledge Hub on Food and Nutrition Security, ERA-Net Cofund ERA-HDHL no. 696295). I.Mafra thanks FCT for funding through the Individual Call to Scientific Employment Stimulus (2021.03670.CEECIND).M. Honrado is grateful to FCT grant 2021.08119.BD, financed by POPH-QREN (subsidized by FSE andMCTES).

publication date

  • April 2022

published in