| Autor: |
Maria David, Dana Alina Magdas |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
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| Zdroj: |
Talanta Open, Vol 10, Iss , Pp 100342- (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2666-8319 |
| DOI: |
10.1016/j.talo.2024.100342 |
| Popis: |
The false declaration of honey authenticity requires the use of rapid and efficient analytical tools in order to be detected. In this study, the use of a green, rapid and emerging approach for food authentication, FT-Raman spectroscopy, proved to obtain reliable and efficient honey botanical and harvesting year differentiation models, when the spectroscopic data was processed by employing a supervised statistical method, namely Partial Least Squares Discriminant Analysis (PLS-DA). The peaks and bands present in the Raman spectra were discussed based on honey composition. In order to increase the efficiency of the models, different preprocessing methods were used and a variable reduction step was employed. The new authentication approach is capable of distinguishing among four botanical sources and two harvesting periods of honey with a correct prediction rate higher than 97 %. The Raman markers that proved to contribute the most to the discrimination were correlated with the honey composition. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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