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Hyperspectral imaging in plant based food safety
Possibility of hyperspectral imaging application in safety control of plant based food that is converted to by-products and used as feed

corresponding

DUŠICA COLOVIC1, BOJANA KOKIC1*, IVANA CABARKAPA1, JOVANKA LEVIC1, OLIVERA DJURAGIC1, KLAUS TEICHMANN2, DARIUSZ JEDREJEK3
*Corresponding author
1. University of Novi Sad, Institute of Food Technology, Bulevar Cara Lazara 1, 21000 Novi Sad, Serbia
2. Biomin Holding GmbH, Technopark 1, 3430 Tulln, Austria
3. State Research Institute, Institute of Soil Science and Plant Cultivation, ul. Czartoryskich 8, 24-100 Pulawy, Poland

Abstract

Latest requirements in terms of food safety control have become extremely strict. This is reasonable, given that each year up to 30 percent of the world’s population suffers from some food-borne disease. However, feed safety is no less important, since only safe feed can ensure secure human food. Therefore, it is important to develop methods for rapid and accurate assessments of hazards on food and feed. Hyperspectral imaging spectroscopy is a novel computer technology with great potential in rapid and precise food and feed hazard detection. This paper will give a review of possible usage of this technique in safety control of plant based food that is converted to by-product and used as animal feed.


INTRODUCTION

Quality and safety control are probably the most important requirements of contemporary food and feed production. World health organization (WHO) reported that each year up to 30 percent of the world’s population suffers from some food-borne disease. In response to this, producers and food control services recognize a need to create an effective feed control system, which will lead to safe and secure food. On the other hand, ensuring a healthy and secure feed quality, as well as cost competitiveness, is often crucial to survive the competition. Nowadays, food and feed safety management systems are designed on a detailed understanding of all inputs to the production process. Therefore, it is of great importance to develop effective methods for on-l