Authentication and Discrimination of Tissue Origin of Bovine Gelatin Using Combined Supervised Pattern Recognition Strategies Publisher



Forooghi E¹ ; Vali Zade S¹ ; Sahebi H¹ ; Abdollahi H² ; Sadeghi N³ ; Jannat B¹
Source: Microchemical Journal Published:2023

Abstract

Gelatin is a protein-based product derived from bovine and porcine bone and skin. Gelatin is increasingly used in food and non-food products, but there are errors in labeling concerning the origin of commercial gelatin raw materials. These mislabeling may negatively impact religious or safety communities. In gelatin studies, species identification is common, but determining the origin of the tissues, bone and skin, is also crucial. The current study demonstrated the use of Raman spectroscopy as a rapid and economical method coupled with chemometrics to differentiate tissue origins of bovine gelatin. The proposed technique could also detect adulteration of bone origin gelatin with skin gelatin with 100% sensitivity and specificity. Accordingly, Raman spectroscopy, along with DD- SIMCA and PLS-DA methods, provides a reliable technique that can easily be applied to detecting the tissue source of bovine gelatin. Also, two- step classification method with goal of finding a suitable authentication of target classes have been applied. DD-SIMCA as class modeling for authentication and PLS-DA for discrimination of groups have been combined in this strategy. © 2023 Elsevier B.V.