Meet Inspiring Speakers and Experts at our 3000+ Global Conference Series Events with over 1000+ Conferences, 1000+ Symposiums
and 1000+ Workshops on Medical, Pharma, Engineering, Science, Technology and Business.

Explore and learn more about Conference Series : World's leading Event Organizer

Back

Romdhane Karoui

Romdhane Karoui

Artois University, France

Title: Front-face fluorescence and infrared spectroscopies: A tool for the authentication of food products

Biography

Biography: Romdhane Karoui

Abstract

Food adulteration has been practiced since a long time and sophisticated foods have increased in the last years. Foods and ingredients presenting high-value are the most vulnerable for adulteration. Determination of food authenticity and detection of adulteration have become an important question in quality control and safety of food products. Indeed, consumer awareness has increased about food quality and safety, geographical origin and agricultural. The replacement of original substance partially or completely with more easily available and cheap substance is the most common procedure performed by defrauders. Although the physico-chemical analyses are promising techniques to determine the authenticity of food products, they are time consuming and use several pollutant reagents. For these reasons, there is a need to develop rapid, inexpensive and efficient analytical methods for the detection of frauds and authentication of food products. Recently, more attention has been paid to the development of noninvasive and non-destructive techniques such as infrared, fluorescence, and so on. These techniques are fast, of relatively low cost, environmentally friendly, and provide a great deal of information with only one test, making them suitable for on-line and/or at-line process control. In addition, the above-mentioned techniques often require little or no sample preparation and are relatively easy to operate. The aim of the present study was to determine the potential of mid infrared and fluorescence methods combined with multivariate statistical analyses as fingerprints allowing authenticating different food products.