The quality and safety of food is an increasing concern for worldwide business. Non-
destructive methods (NDM), as a means of assessment and instrumentation have created an …

Background The authenticity of foodstuffs and associated fraud has become an important
area. It is estimated that global food fraud costs approximately $ US49b annually. In relation …

During the past decade, hyperspectral imaging (HSI) has been rapidly develo** and
widely applied in the food industry by virtue of the use of chemometric techniques in which …

In recent years, hyperspectral imaging has gained a wide recognition as a non-destructive
and fast quality and safety analysis and assessment method for a wide range of food …

The main objective of this study was to evaluate the potential of visible near-infrared (VNIR)
hyperspectral imaging (400–1000 nm) and machine learning to detect adulteration in fresh …

Food quality and safety are strongly related to human health. Food quality varies with variety
and geographical origin, and food fraud is becoming a threat to domestic and global …

In the meat industry, ensuring product authenticity is important due to its impact on human
diet, processing chain as well as for ensuring fair trade practices. This study aims at …

Food fingerprinting approaches are expected to become a very potent tool in authentication
processes aiming at a comprehensive characterization of complex food matrices. By non …

Fraud frequently occurs in Atlantic salmon market and is difficult or impossible to detect
through visual inspection. This study was implemented to investigate the potential of two …

With application of PLS regression and SVR, quantitation models of near infrared diffuse
reflectance spectroscopy were established for the first time to predict the content of volatile …