Abstract

In recent years, meat authenticity awareness has increased and, in the fight to combat meat fraud, various analytical methods have been proposed and subsequently evaluated. Although these methods have shown the potential to detect low levels of adulteration with high reliability, they are destructive, time-consuming, labour-intensive, and expensive. Therefore, rendering them inappropriate for rapid analysis and early detection, particularly under the fast-paced production and processing environment of the meat industry. However, modern analytical methods could improve this process as the food industry moves towards methods that are non-destructive, non-invasive, simple, and on-line. This review investigates the feasibility of different non-destructive techniques used for processed meat authentication which could provide the meat industry with reliable and accurate real-time monitoring, in the near future.

Highlights

  • With the rise in demand to produce food for the ever-growing population, there is a considerable economic gain in adulterating foods

  • The results showed that the predictive models of the combined partial least squares (PLS)/canonical variate analysis (CVA) technique have the potential to effectively distinguish between beef and offal types [55]

  • The experiments were well documented and would be easy to repeat. These studies highlight the potential of nondestructive spectroscopic and imaging methods for the authentication of processed meat products, one critical point to consider is the lack of a sufficient number of sample and sample types to challenge the models developed

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Summary

Introduction

With the rise in demand to produce food for the ever-growing population, there is a considerable economic gain in adulterating foods. Adulterating foods leads to misrepresentation and may compromise food safety. High-value products, such as meat, are often susceptible to food fraud. Meat and meat products represent a vital component of the human diet [1]. Meat is a source of high biological value proteins, lipids, B vitamins (especially vitamin B12), and minerals such as iron and zinc. These macro- and micronutrients are essential for growth and body functions [2,3,4]

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