Raman spectroscopy and its application in authentication of halal foods by using chemometrics approaches

Basic understanding of Raman spectroscopy by strengthening the attitude towards this powerful method can help to expand its applications. Combination of chemometrics multivariate analysis methods with other instrumental analysis is useful to find proper solutions for many research and practical problems. In this study, analysis of Raman spectroscopy data by chemometrics methods has been reviewed. The developed approach based on chemometrics methods is a valid, accurate, and cost-effective route in authentication of halal foods.

Supervised pattern recognition methods are the multivariate chemometrics techniques that are used for qualitative identification, authentication and discriminant analysis in different fields, including food researches. The principal component analysis method provides the possibility of visualizing and exploring in the data space by reducing the dimensions of the data and is an introduction to the classification methods. Authentication of bovine skin and bone gelatin is possible with Raman spectroscopy measurements and the use of supervised pattern recognition methods. The simple and non-invasive measurement of Raman spectra and the application of multivariate chemometrics methods for their analysis leads to the creation of solutions for many problems in the field of qualitative identification and quantitative analysis in complex systems.