Real‐time quality authentication of honey using atmospheric pressure chemical ionisation mass spectrometry ( APCI ‐ MS )
| Autor: | Charfedinne Ayed, Noha E. Morsy, Gamal ElMasry, Ian Fisk, Salim S. Al-Rejaie, Robert S. T. Linforth |
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| Rok vydání: | 2019 |
| Předmět: |
Chromatography
Atmospheric pressure Chemistry 010401 analytical chemistry Atmospheric-pressure chemical ionization 04 agricultural and veterinary sciences Mass spectrometry 040401 food science 01 natural sciences Honey samples Industrial and Manufacturing Engineering 0104 chemical sciences 0404 agricultural biotechnology Partial least squares regression Independent data Food Science |
| Zdroj: | International Journal of Food Science & Technology. 54:2983-2997 |
| ISSN: | 1365-2621 0950-5423 |
| DOI: | 10.1111/ijfs.14210 |
| Popis: | 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 honey were marked by GC‐MS and their representative fragment ions were utilised in scanning honey samples using the real‐time APCI‐MS system. The PLS models validated using independent data sets resulted in coefficient of the determination (Rp2) 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 data sets 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 Rp2 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. |
| Databáze: | OpenAIRE |
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