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Development and Application of a Database of Food Ingredient Fraud and Economically Motivated Adulteration from 1980 to 2010

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Moore, Jeffrey C., Spink, John, Lipp, Markus·2012·Journal of Food Science

Abstract

Food ingredient fraud and economically motivated adulteration are emerging risks, but a comprehensive compilation of information about known problematic ingredients and detection methods does not currently exist. The objectives of this research were to collect such information from publicly available articles in scholarly journals and general media, organize into a database, and review and analyze the data to identify trends. The results summarized are a database that will be published in the US Pharmacopeial Convention's Food Chemicals Codex , 8th edition, and includes 1305 records, including 1000 records with analytical methods collected from 677 references. Olive oil, milk, honey, and saffron were the most common targets for adulteration reported in scholarly journals, and potentially harmful issues identified include spices diluted with lead chromate and lead tetraoxide, substitution of Chinese star anise with toxic Japanese star anise, and melamine adulteration of high protein content foods. High‐performance liquid chromatography and infrared spectroscopy were the most common analytical detection procedures, and chemometrics data analysis was used in a large number of reports. Future expansion of this database will include additional publically available articles published before 1980 and in other languages, as well as data outside the public domain. The authors recommend in‐depth analyses of individual incidents. Practical Application: This report describes the development and application of a database of food ingredient fraud issues from publicly available references. The database provides baseline information and data useful to governments, agencies, and individual companies assessing the risks of specific products produced in specific regions as well as products distributed and sold in other regions. In addition, the report describes current analytical technologies for detecting food fraud and identifies trends and developments.

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Metadata

Authors
Moore, J. C., Spink, J., & Lipp, M.
Venue
Journal of Food Science
Publisher
Wiley
Published
2012-04
Volume
77
Issue
4
Pages
R118-26
ISSN
  • 0022-1147 (ISSN-L)
  • 1750-3841
OpenAlex
W1998083712
Cited by
805
References
0
FWCI
11.50
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Development and Application of a Database of Food Ingredient Fraud and Economically Motivated Adulteration from 1980 to 2010. https://app.cochat.ai/papers/10.1111/j.1750-3841.2012.02657.x
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Moore, J. C., Spink, J., & Lipp, M. (2012). Development and Application of a Database of Food Ingredient Fraud and Economically Motivated Adulteration from 1980 to 2010. Journal of Food Science. https://doi.org/10.1111/j.1750-3841.2012.02657.x

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.