• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

从 1980 年到 2010 年食品成分欺诈和经济动机掺假数据库的开发和应用。

Development and application of a database of food ingredient fraud and economically motivated adulteration from 1980 to 2010.

机构信息

US Pharmacopeial Convention, Rockville, MD 20852, USA.

出版信息

J Food Sci. 2012 Apr;77(4):R118-26. doi: 10.1111/j.1750-3841.2012.02657.x. Epub 2012 Apr 4.

DOI:10.1111/j.1750-3841.2012.02657.x
PMID:22486545
Abstract

UNLABELLED

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.

摘要

未加标签

食品成分欺诈和受经济利益驱动的掺假是新出现的风险,但目前没有关于已知问题成分和检测方法的综合信息汇编。本研究的目的是从学术期刊和大众媒体的公开文章中收集此类信息,将其整理到数据库中,并对数据进行审查和分析,以确定趋势。总结的结果是一个数据库,将发表在美国药典的食品化学法典,第 8 版,其中包括 1305 条记录,包括 1000 条记录与分析方法从 677 个参考文献收集。橄榄油、牛奶、蜂蜜和藏红花是学术期刊中报道的最常见的掺假目标,确定的潜在有害问题包括用铬酸铅和四氧化铅稀释的香料、用有毒的日本八角茴香代替中国八角茴香,以及三聚氰胺掺假高蛋白含量的食品。高效液相色谱法和红外光谱法是最常见的分析检测程序,大量报告中使用了化学计量数据分析。未来将扩展这个数据库,包括 1980 年以前和其他语言出版的更多公开文章,以及公共领域以外的数据。作者建议对个别事件进行深入分析。

实际应用

本报告描述了一个从公开参考文献中开发和应用食品成分欺诈问题数据库的情况。该数据库提供了有用的基线信息和数据,供政府、机构和个别公司评估特定产品在特定地区的风险,以及在其他地区分销和销售的产品。此外,该报告还描述了当前用于检测食品欺诈的分析技术,并确定了趋势和发展。

相似文献

1
Development and application of a database of food ingredient fraud and economically motivated adulteration from 1980 to 2010.从 1980 年到 2010 年食品成分欺诈和经济动机掺假数据库的开发和应用。
J Food Sci. 2012 Apr;77(4):R118-26. doi: 10.1111/j.1750-3841.2012.02657.x. Epub 2012 Apr 4.
2
Economically Motivated Food Fraud and Adulteration in Brazil: Incidents and Alternatives to Minimize Occurrence.巴西的经济动机型食品欺诈和掺假:事件及发生最小化的替代方案。
J Food Sci. 2018 Aug;83(8):2028-2038. doi: 10.1111/1750-3841.14279. Epub 2018 Jul 18.
3
Database of Food Fraud Records: Summary of Data from 1980 to 2022.食品欺诈记录数据库:1980 年至 2022 年数据摘要。
J Food Prot. 2024 Mar;87(3):100227. doi: 10.1016/j.jfp.2024.100227. Epub 2024 Jan 20.
4
Defining the public health threat of food fraud.定义食品欺诈对公共健康的威胁。
J Food Sci. 2011 Nov-Dec;76(9):R157-63. doi: 10.1111/j.1750-3841.2011.02417.x.
5
Economically motivated adulteration (EMA) of food: common characteristics of EMA incidents.经济驱动的食品掺假(EMA):EMA 事件的共同特征。
J Food Prot. 2013 Apr;76(4):723-35. doi: 10.4315/0362-028X.JFP-12-399.
6
[Problems of food authenticity].[食品真实性问题]
Rocz Panstw Zakl Hig. 2004;55(1):9-19.
7
Overview of Analytical Tools for the Identification of Adulterants in Commonly Traded Herbs and Spices.常见贸易草药和香料中掺假物鉴定分析工具概述
J AOAC Int. 2019 Mar 1;102(2):376-385. doi: 10.5740/jaoacint.18-0389. Epub 2019 Jan 15.
8
Modern analytical methods for the detection of food fraud and adulteration by food category.按食品类别检测食品欺诈和掺假的现代分析方法。
J Sci Food Agric. 2017 Sep;97(12):3877-3896. doi: 10.1002/jsfa.8364. Epub 2017 May 24.
9
International Survey of Food Fraud and Related Terminology: Preliminary Results and Discussion.国际食品欺诈及相关术语调查:初步结果与讨论。
J Food Sci. 2019 Oct;84(10):2705-2718. doi: 10.1111/1750-3841.14705. Epub 2019 Sep 23.
10
Use of FTIR for rapid authentication and detection of adulteration of food.利用傅里叶变换红外光谱法快速鉴定和检测食品掺假。
Annu Rev Food Sci Technol. 2011;2:467-83. doi: 10.1146/annurev-food-022510-133750.

引用本文的文献

1
Assessing Milk Authenticity Using Protein and Peptide Biomarkers: A Decade of Progress in Species Differentiation and Fraud Detection.利用蛋白质和肽生物标志物评估牛奶的真实性:物种鉴别和欺诈检测十年进展
Foods. 2025 Jul 23;14(15):2588. doi: 10.3390/foods14152588.
2
Global insights into food fraud from location-based analysis: food adulteration in Turkey.基于位置分析对食品欺诈的全球洞察:土耳其的食品掺假情况
J Sci Food Agric. 2025 Aug 30;105(11):5833-5839. doi: 10.1002/jsfa.14302. Epub 2025 May 5.
3
Technology for the Quantitative Identification of Dairy Products Based on Raman Spectroscopy, Chemometrics, and Machine Learning.
基于拉曼光谱、化学计量学和机器学习的乳制品定量识别技术
Molecules. 2025 Jan 9;30(2):239. doi: 10.3390/molecules30020239.
4
Detection of Adulteration of Extra Virgin Olive Oil via Laser-Induced Breakdown Spectroscopy and Ultraviolet-Visible-Near-Infrared Absorption Spectroscopy: A Comparative Study.通过激光诱导击穿光谱和紫外-可见-近红外吸收光谱检测特级初榨橄榄油掺假:一项比较研究。
Foods. 2025 Jan 18;14(2):321. doi: 10.3390/foods14020321.
5
Comparison of Multiple NIR Instruments for the Quantitative Evaluation of Grape Seed and Other Polyphenolic Extracts with High Chemical Similarities.用于定量评估葡萄籽及其他具有高度化学相似性的多酚提取物的多种近红外仪器的比较
Foods. 2024 Dec 23;13(24):4164. doi: 10.3390/foods13244164.
6
Differential scanning calorimetry for authentication of edible fats and oils-What can we learn from the past to face the current challenges?差示扫描量热法用于食用油脂的鉴别——我们能从过去学到什么来应对当前的挑战?
J Food Drug Anal. 2022 Jun 15;30(2):185-201. doi: 10.38212/2224-6614.3402.
7
Integrating near-infrared hyperspectral imaging with machine learning and feature selection: Detecting adulteration of extra-virgin olive oil with lower-grade olive oils and hazelnut oil.将近红外高光谱成像与机器学习和特征选择相结合:检测特级初榨橄榄油与低级橄榄油和榛子油的掺假情况。
Curr Res Food Sci. 2024 Oct 29;9:100913. doi: 10.1016/j.crfs.2024.100913. eCollection 2024.
8
Detection of honey adulteration using machine learning.利用机器学习检测蜂蜜掺假
PLOS Digit Health. 2024 Jun 10;3(6):e0000536. doi: 10.1371/journal.pdig.0000536. eCollection 2024 Jun.
9
Nitrogen factors for rainbow trout () and brook trout () fillets.虹鳟鱼()和溪鳟鱼()鱼片的氮因子。
Vet Med (Praha). 2022 Nov 29;67(12):628-637. doi: 10.17221/73/2022-VETMED. eCollection 2022 Dec.
10
An innovative molecular approach towards the cost-effective entomological authentication of honey.一种用于蜂蜜经济高效昆虫学鉴定的创新分子方法。
NPJ Sci Food. 2024 May 2;8(1):24. doi: 10.1038/s41538-024-00268-9.