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Quantitative Analysis and 2D/3D Elemental Imaging of Cocoa Beans Using X-ray Fluorescence Techniques.
Förste, Frank; Bauer, Leona; Streeck, Cornelia; Radtke, Martin; Reinholz, Uwe; Kadow, Daniel; Keil, Claudia; Mantouvalou, Ioanna.
Afiliação
  • Förste F; Institute for Optics and Atomic Physics, Technical University of Berlin, Berlin 10623, Germany.
  • Bauer L; Institute for Optics and Atomic Physics, Technical University of Berlin, Berlin 10623, Germany.
  • Streeck C; Helmholtz-Zentrum Berlin for Materials and Energy, Berlin 12489, Germany.
  • Radtke M; Physikalisch-Technische Bundesanstalt, National Metrology Institute, Berlin 10587, Germany.
  • Reinholz U; Federal Institute for Materials Research and Testing (BAM), Berlin 12489, Germany.
  • Kadow D; Federal Institute for Materials Research and Testing (BAM), Berlin 12489, Germany.
  • Keil C; August Storck KG, Berlin 13403, Germany.
  • Mantouvalou I; Institute of Food Technology and Food Chemistry, Technical University of Berlin, Berlin 13355, Germany.
Anal Chem ; 95(13): 5627-5634, 2023 04 04.
Article em En | MEDLINE | ID: mdl-36961956
As an important raw material for the confectionery industry, the cocoa bean (Theobroma cacao L.) has to meet certain legal requirements in terms of food safety and maximum contaminant levels in order to enter the cocoa market. Understanding the enrichment and distribution of essential minerals but also toxic metals is of utmost importance for improving the nutritional quality of this economically important raw food material. We present three X-ray fluorescence (XRF) techniques for elemental bio-imaging of intact cocoa beans and one additional XRF technique for quantitative analysis of cocoa pellets. The interrelation of all the methods presented gives a detailed picture of the content and 3D-resolved distribution of elements in complete cocoa beans for the first time.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Cacau Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Cacau Idioma: En Ano de publicação: 2023 Tipo de documento: Article