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Measurement Methods to Detect, Characterize, and Quantify Engineered Nanomaterials in Foods.
Singh, Gurmit; Stephan, Chady; Westerhoff, Paul; Carlander, David; Duncan, Timothy V.
Afiliação
  • Singh G; Food Research Div, Bureau of Chemical Safety, Health Canada, 251 Sir Frederick Banting Driveway, Ottawa, Canada.
  • Stephan C; PerkinElmer, Inc, 6 - 501 Rowntree Dairy Rd., Woodbridge, ON L4L 8H1, Canada.
  • Westerhoff P; School of Sustainable Engineering and the Built Environment, Arizona State Univ, PO Box 875306, Tempe, AZ, 85287-5306, U.S.A.
  • Carlander D; Nanotechnology Industries Assoc, 101 Ave. Louise, 1050 Brussels, Belgium.
  • Duncan TV; Center for Food Safety and Applied Nutrition, United States Food and Drug Administration, 6502 South Archer Rd., Bedford Park, IL 60516-1957, U.S.A.
Compr Rev Food Sci Food Saf ; 13(4): 693-704, 2014 Jul.
Article em En | MEDLINE | ID: mdl-33412711
ABSTRACT
This article is one of a series of 4 that reports on a task of the NanoRelease Food Additive project of the International Life Science Institute Center for Risk Science Innovation and Application to identify, evaluate, and develop methods that are needed to confidently detect, characterize, and quantify intentionally produced engineered nanomaterials (ENMs) released from food along the alimentary tract. This particular article focuses on the problem of detecting ENMs in food, paying special attention to matrix interferences and how to deal with them. In this review, an in-depth analysis of the literature related to detection of ENMs in complex matrices is presented. The literature review includes discussions of sampling methods, such as centrifugation and ENM extraction. Available analytical methods, as well as emerging methods, are also presented. The article concludes with a summary of findings and an overview of potential knowledge gaps and targets for method development in this area.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Qualitative_research Idioma: En Revista: Compr Rev Food Sci Food Saf Ano de publicação: 2014 Tipo de documento: Article País de afiliação: Canadá

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Qualitative_research Idioma: En Revista: Compr Rev Food Sci Food Saf Ano de publicação: 2014 Tipo de documento: Article País de afiliação: Canadá