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Real‐time quality authentication of honey using atmospheric pressure chemical ionisation mass spectrometry ( APCI ‐ MS )

ElMasry, Gamal; Morsy, Noha; Al?Rejaie, Salim; Ayed, Charfedinne; Linforth, Robert; Fisk, Ian

Authors

Gamal ElMasry

Noha Morsy

Salim Al?Rejaie

Charfedinne Ayed

Robert Linforth



Abstract

The aim of this study was to use gas chromatography-mass spectrometry (GC-MS) and APCI-MS techniques to detect adulteration in honey. The key volatile compounds in the headspace of the adulterated honeys were marked by GC-MS and their representative fragment ions were utilized in scanning honey samples using the real-time APCI-MS system. The PLS models validated using independent datasets resulted in coefficient of determination (R_p^2) of 0.97 and 0.96 and root mean square error in prediction (RMSEP) of 2.62 and 2.45 for the GC-MS and APCI-MS datasets, respectively. The most efficient volatiles from GC-MS analysis and their corresponding fragment ions m/z from APCI-MS data analysis were then identified and used to develop new PLS models to predict the level of adulteration. The best PLS model gave R_p^2 of 0.95 and RMEP of 2.60% in the independent validation set indicating that the model was very accurate in predicting the level of adulteration.

Citation

ElMasry, G., Morsy, N., Al‐Rejaie, S., Ayed, C., Linforth, R., & Fisk, I. (2019). Real‐time quality authentication of honey using atmospheric pressure chemical ionisation mass spectrometry ( APCI ‐ MS ). International Journal of Food Science and Technology, 54(11), 2983-2997. https://doi.org/10.1111/ijfs.14210

Journal Article Type Article
Acceptance Date Apr 27, 2019
Online Publication Date May 29, 2019
Publication Date Nov 1, 2019
Deposit Date Jun 4, 2019
Publicly Available Date Mar 29, 2024
Journal International Journal of Food Science & Technology
Print ISSN 0950-5423
Electronic ISSN 1365-2621
Publisher Wiley
Peer Reviewed Peer Reviewed
Volume 54
Issue 11
Pages 2983-2997
DOI https://doi.org/10.1111/ijfs.14210
Keywords Food Science; Industrial and Manufacturing Engineering
Public URL https://nottingham-repository.worktribe.com/output/2135289
Publisher URL https://onlinelibrary.wiley.com/doi/full/10.1111/ijfs.14210
Additional Information This is the peer reviewed version of the following article: ElMasry, G. , Morsy, N. , Al‐Rejaie, S. , Ayed, C. , Linforth, R. and Fisk, I. (2019), Real‐time quality authentication of honey using atmospheric pressure chemical ionisation mass spectrometry (APCI‐MS). Int J Food Sci Technol, 54: 2983-2997, which has been published in final form at https://doi.org/10.1111/ijfs.14210. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions.

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