Use of FTIR Spectroscopy and Chemometrics with Respect to Storage Conditions of Moldavian Dragonhead Oil
Arkadiusz Matwijczuk,
Tomasz Oniszczuk,
Alicja Matwijczuk,
Edyta Chruściel,
Anna Kocira,
Agnieszka Niemczynowicz,
Agnieszka Wójtowicz,
Maciej Combrzyński and
Dariusz Wiącek
Additional contact information
Arkadiusz Matwijczuk: Department of Biophysics, University of Life Sciences in Lublin, 20-950 Lublin, Poland
Tomasz Oniszczuk: Department of Thermal Technology and Food Process Engineering, University of Life Sciences in Lublin, 20-612 Lublin, Poland
Alicja Matwijczuk: Department of Biophysics, University of Life Sciences in Lublin, 20-950 Lublin, Poland
Edyta Chruściel: Department of Biophysics, University of Life Sciences in Lublin, 20-950 Lublin, Poland
Anna Kocira: Institute of Agricultural Sciences, State School of Higher Education in Chelm, 22-100 Chelm, Poland
Agnieszka Niemczynowicz: Department of Analysis and Differential Equations, University of Warmia and Mazury, 10-710 Olsztyn, Poland
Agnieszka Wójtowicz: Department of Thermal Technology and Food Process Engineering, University of Life Sciences in Lublin, 20-612 Lublin, Poland
Maciej Combrzyński: Department of Thermal Technology and Food Process Engineering, University of Life Sciences in Lublin, 20-612 Lublin, Poland
Dariusz Wiącek: Department of Physical Properties of Plant Materials, Institute of Agrophysics, Polish Academy of Sciences, 20-290 Lublin, Poland
Sustainability, 2019, vol. 11, issue 22, 1-16
Abstract:
Oils often have similar properties and can be difficult to identify based on color, smell or taste alone. The present paper suggests the use of Fourier-transform infrared spectroscopy (FTIR) in combination with chemometric methods to explore similarities and differentiate between samples of Moldavian dragonhead oil subjected to different storage conditions. Dragonhead is a plant characterized by very good honey output and ease of cultivation. Principal component analysis (PCA) was applied to a standard, full range of FTIR spectra. Additionally, hierarchical cluster analysis (HCA) was employed to explore the organization of the samples in groups relative to their “proximity” (similarity), by way of Euclidean distance measurement. PC1 and PC2 accounted respectively for 85.4% and 10.1% of the total data variance. PC1 and PC2 were strongly, negatively correlated within the entire spectral range; the only exception was the region corresponding to νs(-C-Hvst, -CH 2 ) vibrations (aliphatic groups in triglycerides), where PC2 was positively correlated. The use of FTIR spectral analysis revealed noticeable differences in the intensity of bands characteristic of the ageing processes (markers of oxidative processes, etc.) taking place in oleaginous samples and related to the processes of fatty acids oxidation.
Keywords: chemometric analysis; Dracocephalum moldavica; FTIR spectroscopy; functional food (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2019
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:11:y:2019:i:22:p:6414-:d:287069
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