Journal
COMPREHENSIVE REVIEWS IN FOOD SCIENCE AND FOOD SAFETY
Volume 18, Issue 3, Pages 670-689Publisher
WILEY
DOI: 10.1111/1541-4337.12436
Keywords
fraud; image processing; NMR; spectroscopy; spices
Categories
Funding
- FAEPEX/Unicamp [103/16]
- FAPESP [2018/025004]
- Sao Paulo Research Foundation (FAPESP) [2015/24351-2]
- Brazilian Natl. Council for Scientific and Technological Development (CNPq) [404852/2016-5]
- Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior - Brasil (CAPES) [001]
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Food fraud in herbs and spices is an important topic, which has led to new technologies being studied as potential tools for fraud identification. Nontargeted technologies have proven to be a useful tool for the authentication of herbs and spices. The present review focuses on the use of near-infrared, hyperspectral imaging, Fourier-transform infrared, Raman, nuclear magnetic resonance, and electron spin resonance spectroscopy for the authentication of spices, which includes the determination of origin and irradiated spices and the identification of adulterants. The methods developed based on vibrational spectroscopy combined with chemometric techniques seem to be promising tools for determining the presence of adulterants and contaminants in herbs and spices. On the other hand, nuclear magnetic resonance seems to be the most efficient technology to determine the origin of herbs and spices although, for some cases, studies with near-infrared spectroscopy can be a viable substitute. Electron spin resonance spectroscopy is the technique par excellence used for the authentication of irradiated herbs and spices, so its use should be expanded to many more spices' varieties. Portable devices are preferred by those involved in the food industry, due to its manageability and low cost. Data fusion and big data are shown as promising tools for spice fraud control. In conclusion, spectroscopic techniques show a great efficiency to authenticate spices, although their evaluation must be expanded to other spice varieties, to new strategies of data analysis (as data fusion and big data), and to the use of portable devices.
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