SPECTROPHOTOMETRIC AUTHENTICATION IMAGES OF HOPS ESSENTIAL OILS

Authors

  • Vladislav V. Liubchenko Institute of an agriculture Polissya of the National Academy of Agrarian Sciences of Ukraine, Ukraine
  • Oleksandr P. Steciuk Institute for Agriculture of Polissia National Academy of Agrarian Sciences of Ukraine, Ukraine https://orcid.org/0000-0001-8872-537X
  • Viktor I. Ratoshniuk Institute for Agriculture of Polissia National Academy of Agrarian Sciences of Ukraine, Ukraine https://orcid.org/0000-0001-6937-7541
  • Yuriy M. Ilyinskiy Institute for Agriculture of Polissia National Academy of Agrarian Sciences of Ukraine, Ukraine https://orcid.org/0000-0002-5301-6714
  • Irina O. Pasichnyk Institute for Agriculture of Polissia National Academy of Agrarian Sciences of Ukraine, Ukraine

DOI:

https://doi.org/10.15421/jchemtech.v33i1.311702

Keywords:

essential oil; hops; spectrophotometry; identification; terpenes; quality.

Abstract

Hop essential oils are natural, useful substances enriched with biologically active terpene complex. They possess attractive nutritional and energy-stimulating properties and can positively affect the immune-supporting functions. However, they are at risk of falsification, necessitating the development of competent identification methodologies. This research aimed to create methodological, analytical, and informational bases for hop oils to study the possibility of their identification and control against falsification by spectrophotometry. Essential oils of bitter and aromatic hop types were analyzed. The quality and safety parameters of the oils met regulatory requirements. The optical density spectra of hop oil were evaluated and compared in the light absorption wavelength range from 190 nm to 900 nm. It has been established that the identification spectrophotometric images of optical density, when a light beam is transmitted through hop oil samples, discretely, with a wavelength step of 0.05–1 nm, form peaks of total terpene absorption in the ranges of 350–620 nm. These are the main criteria for the formation of spectrophotometric databases of hop oils. Spectrophotometric images and pilot authentication models were developed for high-quality samples of bitter and aromatic hop oils. These findings contribute to the organoleptic authentication of hop oil spectrograms to prevent falsification.

References

Liubchenko, V., Steciuk, O., Ratoshniuk, V., Venger, O., Shtanko, I. (2023). Innovative features for the recovery of partially polymerized hop oil, Journal of Chemistry and Technologies, 31(2), 289–295. https://doi.org/10.15421/jchemtech.v31i2.277939.

Sadgrove, N.J., Padilla-González, G. F., Phumthum, M. (2022). Fundamental Chemistry of Essential Oils and Volatile Organic Compounds, Methods of Analysis and Authentication, 11(6), 789. doi: 10.3390/plants11060789.

Semeniuc, C-А., Socaciu, M-I., Socaci, S., Mureșan, V., Fogarasi, M., Rotar, А. (2018). Chemometric Comparison and Classification of Some Essential Oils Extracted from Plants Belonging to Apiaceae and Lamiaceae Families Based on Their Chemical Composition and Biological Activities, Molecules, 23(9), 2261. doi: 10.3390/molecules23092261.

Salghi, R., Armbruster, W., Schwack, W. (2014). Detection of argan oil adulteration with vegetable oils by high-performance liquid chromatography–evaporative light scattering detection, Food Chem, 153, 387–392. doi: 10.1016/j.foodchem.2013.12.084.

Apetrei, I. M., Apetrei, C. (2014). Detection of virgin olive oil adulteration using a voltammetric e-tongue. Computers and Electronics in Agriculture, 108, 148–154. doi.org/10.1016/j.compag.2014.08.002.

Bongiorno, D., Stefano, V., Indelicato, S., Avellone, G., Ceraulo, L. (2021). Bio-phenols determination in olive oils: Recent mass spectrometry approaches, Mass Spectrom Rev., 42(4), 1462–1502. doi: 10.1002/mas.21744.

Adams, R.P., (2005), Identification of Essential Oil Components by Gas Chromatography/Quadrupole Mass Spectroscopy, Am Soc Mass Spectrom, 16(11), 1902–1903. https://doi.org/10.1016/j.jasms.2005.07.008.

Yen, C-L., Chen, J-H., Chien, H-Y., Cheng, J-S., Lee, M-S., Wang, Y-Y. (2021). Sing a simple spectrophotometer to analyze cypress hydrolat composition, Mathematical Biosciences and Engineering, 18(6), 9033–9049. doi: 10.3934/mbe.2021445.

Samfira, I., Rodino, S, Petrache, P., Cristina, R.T. (2015). Characterization and identity confirmation of essential oils by mid infrared absorption spectrophotometry, Digest Journal of Nanomaterials and Biostructures, 10(2), 557–566.

Bounaas, K, Bouzidi, N., Daghbouche, Y., Garrigues, S., Guardia, M. de la, Hattab, M. El. (2018). Essential oil counterfeit identification through middle infrared spectroscopy, Microchemical Journal, 139, 347–356. doi:10.1016/j.microc.2018.03.008.

Wang, S. (2010). Infrared Spectroscopy for Food Quality Analysis and Control, Trends in Food Science & Technology, 21(1), 52. doi.org/10.1016/j.tifs.2009.08.004.

Coates, J. (2006), Interpretation of Infrared Spectra, A Practical Approach, Meyers, R.A. (Ed.), Encyclopedia of Analytical Chemistry 10815–10837. doi:10.1002/9780470027318.a5606.

Agatonovic-Kustrin S., Ristivojevic P., Gegechkori V., Litvinova T. M., Morton D.W. (2020), Essential Oil Quality and Purity Evaluation via FT-IR Spectroscopy and Pattern Recognition Techniques, Applied Sciences, 20, 7294. doi.org/10.3390/app10207294.

Morari, M.-I., Fetera, F., Rotar, A. M., Nagy, M., Semeniuc, C. A. (2017). Essential Oil Quality and Purity Evaluation via FT-IR Spectroscopy and Pattern Recognition Techniques, Food Science and Technology 74(1). doi: https://doi.org/10.15835/buasvmcn-fst:12634.

Srivastava, H., Wolfgang, S., J. Rodriguez, J. (2016), Expanding the analytical toolbox for identity testing of pharmaceutical ingredients: Spectroscopic screening of dextrose using portable Raman and near infrared spectrometers, Analytica Chimica Acta, 914, 91–99. doi: 10.1016/j.aca.2016.01.061.

El-abassy, R., Donfack, P., Materny, A. (2009), Visible Raman spectroscopy for the discrimination of olive oils from different vegetable oils and the detection of adulteration, Journal of Raman Spectroscopy, 40(9), 1284–1289. doi:10.1002/jrs.2279.

Rodriguez, J. D., Westenberger, B.J., Buhse, L.F., Kauffman, J.F. (2011). Quantitative Evaluation of the Sensitivity of Library-Based Raman Spectral Correlation Methods, Analytical Chemistry, 83(11), 4061–4067. https://doi.org/10.1021/ac200040b.

Park, J.-K., Lee, S., Park, A.,. Baek, S.-J (2020), Adaptive Hit-Quality Index for Raman Spectrum Identification, Analytical Chemistry, 92(15), 10291–10299. https://doi.org/10.1021/acs.analchem.0c00209.

Lawson, L.S., Rodriguez, J.D. (2016). Raman Barcode for Counterfeit Drug Product Detection, Analytical Chemistry, 88(9), 4706–4713. https://doi.org/10.1021/acs.analchem.5b04636.

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Published

2025-04-15