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Projects / Programmes source: ARIS

Characterization of hop essential oils (Humulus lupulus L.)

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Research activity

Code Science Field Subfield
1.04.00  Natural sciences and mathematics  Chemistry   

Code Science Field
P300  Natural sciences and mathematics  Analytical chemistry 
B434  Biomedical sciences  Agrochemistry 
Keywords
hop, hop variety, essential oil, chemometrics, NMR, IR, GC, GC-MS, authenticity
Evaluation (rules)
source: COBISS
Evaluation of bibliographic research performance indicators according to ARIS methodology
Citations Citations for bibliographic records in COBIB.SI that are linked to records in citation databases
source: WoS source: Scopus source: COBISS
Researchers (9)
no. Code Name and surname Research area Role Period No. of publications
1.  15840  PhD Marjan Donko  Biotechnology  Researcher  2004  0 
2.  05454  Aleksander Gačeša    Researcher  2004  0 
3.  08523  PhD Jože Grdadolnik  Chemistry  Researcher  2004 - 2007  0 
4.  21596  Marija Hribernik  Chemistry  Technical associate  2004 - 2007  0 
5.  17916  PhD Iztok Jože Košir  Chemistry  Head  2004 - 2007  0 
6.  24975  PhD Damjan Makuc  Chemistry  Technical associate  2005 - 2006  0 
7.  17918  PhD Matjaž Polak  Biochemistry and molecular biology  Researcher  2004  0 
8.  20163  PhD Magda Rak Cizej  Plant production  Researcher  2004  0 
9.  22575  PhD Primož Šket  Chemistry  Researcher  2007  0 
Organisations (2)
no. Code Research organisation City Registration number No. of publications
1.  0104  National Institute of Chemistry  Ljubljana  5051592000  10 
2.  0416  Slovenian Institute of Hop Research and Brewing  Žalec  5051762000  0 
Abstract
In proposed project we will collect samples of the representative hop varieties and produce the essential oils. The essential oils will be analysed by gas chromatography (GC), onedimensional (1D) 1H nad 13C NMR and IR spectroscopy. Areas under the individual peak in chromatograms and intensities of signals in NMR and IR spectra will served as an input parameters for chemometric calculations to find the most responsible biomarkers of different hop varieties. On the base of those parameters and with the use of different chemometric methods models for the prediction or grouping of hop samples regarding the varieties will be constructed. With the use of coupled GC-MS/MS we will identified the most responsible biomarkers for hop varieties and resistance of plants to some pests.
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