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Food Chem X


Title:In-tube dynamic extraction for analysis of volatile organic compounds in honey samples
Author(s):Kaziur-Cegla W; Jochmann MA; Molt K; Bruchmann A; Schmidt TC;
Address:"Instrumental Analytical Chemistry, University of Duisburg-Essen, Universitatsstrasse 5, Essen D-45141, Germany. Axel Semrau GmbH&Co.KG, Stefansbecke 42, Sprockhovel 45549, Germany. Centre for Water and Environmental Research (ZWU), University of Duisburg-Essen, Universitatsstr.2, Essen 45141, Germany. IWW Zentrum Wasser, Moritzstr. 26, Mulheim an der Ruhr 45476, Germany"
Journal Title:Food Chem X
Year:2022
Volume:20220518
Issue:
Page Number:100337 -
DOI: 10.1016/j.fochx.2022.100337
ISSN/ISBN:2590-1575 (Electronic) 2590-1575 (Linking)
Abstract:"Honey is the oldest and nowadays widely used natural sweetener for food worldwide. Its composition is associated with its botanical and geographical origin and honey is often mislabeled and has a high potential for food fraud. Thus, quick easy and sensitive analyses are required. For the first time, we developed and applied an automated, fast, sensitive and robust, in-tube extraction dynamic headspace in-tube extraction-dynamic headspace (ITEX-DHS) method for a variety of Honey containing VOCs in connection with GC-MS. Another advantage of ITEX is, that it is a green analytical solventless method. The method provides very low method detection limits (MDL) from 0.8 to 47 ng g(-1) for VOCs in honey samples as well as very good repeatabilities with averages below 9 % RSD. Recoveries are between 83 and 100 %. Only octanal possess a repeatability 13 % and a recovery of 62 % due to its high polarity. 38 honey samples were measured after method validation. Four acacia honeys (A), six forest honeys (F) and 22 blossom honeys (B). The type of six honeys was not known (U) but could be predicted with the help of a linear discriminant analysis (LDA). The LDA was carried out with the three groups (A, B, F) leading to a proportion of correct predictions of 90.6 %. With the help of a scatterplot, two of the unknown samples were classified as forest honeys and four of them as blossom honeys"
Keywords:Gc-ms Honey analysis Itex-dhs In-tube extraction Linear discriminant analysis Solvent-less microextraction;
Notes:"PubMed-not-MEDLINEKaziur-Cegla, Wiebke Jochmann, Maik A Molt, Karl Bruchmann, Andreas Schmidt, Torsten C eng Netherlands 2022/06/01 Food Chem X. 2022 May 18; 14:100337. doi: 10.1016/j.fochx.2022.100337. eCollection 2022 Jun 30"

 
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