Optical spectroscopy methods combined with multivariate statistical analysis for the classification of Cretan thyme, multi‐floral and honeydew honey. (15th March 2021)

• Record Type: Journal Article
• Authors: Orfanakis, Emmanouil; Markoulidakis, Michail; Philippidis, Aggelos; Zoumi, Aikaterini; Velegrakis, Michalis
• Is Part Of: Journal of the science of food and agriculture. Volume 101:Number 13(2021)
• Page Start: 5337
• Page End: 5347
• Publication Date: 2021-03-15
• Subjects: thyme honey -- FTIR spectroscopy -- UV spectroscopy -- multivariate statistical analysis -- botanical origin, classification; Food -- Periodicals; Agriculture -- Periodicals; 664
• DOI: 10.1002/jsfa.11182
• Languages: English
• ISSNs: 0022-5142

Abstract

Abstract: BACKGROUND: The botanical origin of honey attracts both commercial and research interest. Consumers' preferences and medicinal uses of particular honey types drive the demand for the determination of their authenticity with regard to their botanical origin. This study presents the discrimination of thyme, multi‐floral. and honeydew honeys by Fourier‐transform infrared (FTIR) and ultraviolet (UV) absorption spectroscopy combined with multivariate statistical analysis. UV absorption spectroscopy was applied without any dilution of the sample using a custom‐made cuvette. FTIR and UV absorption spectroscopic data were processed by means of the orthogonal partial least squares discriminant analysis. RESULTS: The optimal classification of floral and honeydew honeys was accomplished with UV spectroscopy with a successful estimation of 92.65% for floral honey and 91.30% for honeydew honey. The discrimination of thyme versus the multi‐floral honey was best achieved with FTIR, with a correct classification of 95.56% and 100% for multi‐floral and thyme honey respectively. Furthermore, our findings revealed the region of 2400–4000 cm −1 of the FTIR spectra as the most significant for this discrimination. CONCLUSION: This work demonstrates that optical spectroscopic techniques in combination with multivariate statistical analysis can be a rapid, low‐cost, easy‐to‐use approach for the determination of the botanical origin of honey without sample pretreatment. © 2021 Society of Chemical Industry.