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Establishment of a food fraud database and analysis of fraud information based on network data in China

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Abstract

We collected Chinese food fraud events from 2001 to 2019, and initially established a database of 454 data sets based on China's national conditions. This database supplements the gaps in the internationally established economically motivated adulteration (EMA) database. Statistical results showed that the data reported by the media accounted for 71.6% of the total amount of food fraud information. Most fraud incidents were recorded in eleven product categories, e.g. agricultural products, wines, dairy and meat products. Product fraud (72.2%) was the first type ranked food fraud information.

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References

  • Bouzembrak Y, Marvin JPH (2016) Prediction of food fraud type using data from rapid alert system for food and feed (RASFF) and bayesian network modelling. Food Control 61:180–187

    Article  Google Scholar 

  • Cai HD, Wang WQ, Wen H, Xu YM, Shen LR (2019) Analysis and visualization of academic maps on economically motivated adulteration database of the center for food protection and defense, university of Minnesota, USA. J Food Saf Qual 10(24):8548–8555

    Google Scholar 

  • Chen Y, Zhang JK, Ge YQ (2019) A bibliometric analysis on technology innovation of food authentication. J Food Saf Qual 10(24):8183–8194

    Google Scholar 

  • Everstine K, Kircher A, Cunningham E (2013) The implications of food fraud. https://www.foodqualityandsafety.com/article/the-implications-of-food-fraud/

  • Food and Drug Administration (2009) http://www.gpo.gov/fds–ys/pkg/FR–2009–04–06/pdf/E9–7843.pdf

  • Gossner M-EC, Schlundt J, Embared BP, Hied S, Lo-Fo-Wong D, Beltran J, Tritscher A (2009) The melamine incident: implications for international food and feed safety. Environ Health Persp 117(12):1803–1808

    Article  CAS  Google Scholar 

  • Johnson R (2014) Food fraud and “economically motivated adulteration” of food and food ingredients. http://fas.org/sgp/crs/misc/R43358.pdf

  • Meng J, Niu B, Gu SQ, Deng XJ, Fang Z (2019) Application of proteomics technology based on liquid chromatography–mass spectrometry in food identification. J Food Saf Qual 10(4):998–1003

    Google Scholar 

  • Spink J, Moyer CD, Park H, Wu Y, Fersht V, Shao B, Edelev D (2015) Introducing food fraud including translation and interpretation to Russian Korean, and Chinese languages. Food Chem 189(12):102–107

    Article  CAS  Google Scholar 

  • The Grocery Manufacturers Association (2010) Consumer product fraud, deterrence and detection. http://www.gmaonline.org/downloads/researchandreports/consumerpro–ductfraud.pdf

  • Tibola CS, Da Silva SA, Dossa AA, Patrício D (2018) Economically motivated food fraud and adulteration in Brazil: Incidents and alternatives to minimize occurrence. J Food Sci 1:12024

    Google Scholar 

  • Wang WQ, Wen H, Zhang WZ, Zhao ZC, Zhao LR (2019) Analysis of global economically motivated adulteration and food fraud based on the EMA database of the United States pharmacopoeia. J Food Saf Qual 10(3):804–810

    CAS  Google Scholar 

  • Yang J, Gao J, Miao H (2015) Discussion of food fraud and food adulteration. Food Ferment Ind 41(12):235–240

    Google Scholar 

  • Zheng YN, Guo YH, CaoQian JH (2019) Application of liquid chromatography–mass spectrometry in food adulteration. J Food Saf Qual 10(23):7953–7958

    Google Scholar 

Download references

Acknowledgements

We would like to thank the research staff for the hard work, and the authors thank Dr. Dawei Chen for his guidance on the structure of this paper. This work was funded by the Science and Technology Project of State Administration of Market Supervision (2020MK173).

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Authors and Affiliations

  1. Chinese Academy of Inspection and Quarantine, Beijing, 100176, China

    Heli Li, Yaqing Cheng, Jiyang Luo & Li Li

  2. China National Center for Food Safety Risk Assessment, Beijing, 100021, China

    Yongning Wu

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  1. Heli Li
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  2. Yaqing Cheng
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  3. Jiyang Luo
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  4. Li Li
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  5. Yongning Wu
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Correspondence to Heli Li or Li Li.

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Li, H., Cheng, Y., Luo, J. et al. Establishment of a food fraud database and analysis of fraud information based on network data in China. J Consum Prot Food Saf 17, 177–181 (2022). https://doi.org/10.1007/s00003-021-01361-x

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  • DOI: https://doi.org/10.1007/s00003-021-01361-x

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