会议论文详细信息
59th International Meat Industry Conference
Shedding light on food fraud: spectrophotometric and spectroscopic methods as a tool against economically motivated adulteration of food
Petronijevi, R.B.^1 ; Velebit, B.^1 ; Balti, T.^1
Institute of Meat Hygiene and Technology, Kaanskog 13, Belgrade
11000, Serbia^1
关键词: Analytical method;    Chemometric analysis;    Food ingredients;    Global economies;    Global expansion;    Hand held device;    Physicochemical techniques;    Spectroscopic method;   
Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/85/1/012024/pdf
DOI  :  10.1088/1755-1315/85/1/012024
来源: IOP
PDF
【 摘 要 】

Intentional modification of food or substitution of food ingredients with the aim of gaining profit is food fraud or economically motivated adulteration (EMA). EMA appeared in the food supply chain, and following the global expansion of the food market, has become a world-scale problem for the global economy. Food frauds have involved oils, milk and meat products, infant formula, honey, juices, spices, etc. New legislation was enacted in the last decade in order to fight EMA. Effective analytical methods for food fraud detection are few and still in development. The majority of the methods in common use today for EMA detection are time consuming and inappropriate for use on the production line or out of the laboratory. The next step in the evolution of analytical techniques to combat food fraud is development of fast, accurate methods applicable using portable or handheld devices. Spectrophotometric and spectroscopic methods combined with chemometric analysis, and perhaps in combination with other rapid physico-chemical techniques, could be the answer. This review discusses some analytical techniques based on spectrophotometry and spectroscopy, which are used to reveal food fraud and EMA.

【 预 览 】
附件列表
Files Size Format View
Shedding light on food fraud: spectrophotometric and spectroscopic methods as a tool against economically motivated adulteration of food 151KB PDF download
  文献评价指标  
  下载次数:5次 浏览次数:40次