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In-tube dynamic extraction for analysis of volatile organic compounds in honey samples

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,...

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Autores principales: Kaziur-Cegla, Wiebke, Jochmann, Maik A., Molt, Karl, Bruchmann, Andreas, Schmidt, Torsten C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9130071/
https://www.ncbi.nlm.nih.gov/pubmed/35634225
http://dx.doi.org/10.1016/j.fochx.2022.100337
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author Kaziur-Cegla, Wiebke
Jochmann, Maik A.
Molt, Karl
Bruchmann, Andreas
Schmidt, Torsten C.
author_facet Kaziur-Cegla, Wiebke
Jochmann, Maik A.
Molt, Karl
Bruchmann, Andreas
Schmidt, Torsten C.
author_sort Kaziur-Cegla, Wiebke
collection PubMed
description 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.
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spelling pubmed-91300712022-05-26 In-tube dynamic extraction for analysis of volatile organic compounds in honey samples Kaziur-Cegla, Wiebke Jochmann, Maik A. Molt, Karl Bruchmann, Andreas Schmidt, Torsten C. Food Chem X Research Article 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. Elsevier 2022-05-18 /pmc/articles/PMC9130071/ /pubmed/35634225 http://dx.doi.org/10.1016/j.fochx.2022.100337 Text en © 2022 The Authors. Published by Elsevier Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Research Article
Kaziur-Cegla, Wiebke
Jochmann, Maik A.
Molt, Karl
Bruchmann, Andreas
Schmidt, Torsten C.
In-tube dynamic extraction for analysis of volatile organic compounds in honey samples
title In-tube dynamic extraction for analysis of volatile organic compounds in honey samples
title_full In-tube dynamic extraction for analysis of volatile organic compounds in honey samples
title_fullStr In-tube dynamic extraction for analysis of volatile organic compounds in honey samples
title_full_unstemmed In-tube dynamic extraction for analysis of volatile organic compounds in honey samples
title_short In-tube dynamic extraction for analysis of volatile organic compounds in honey samples
title_sort in-tube dynamic extraction for analysis of volatile organic compounds in honey samples
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9130071/
https://www.ncbi.nlm.nih.gov/pubmed/35634225
http://dx.doi.org/10.1016/j.fochx.2022.100337
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