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Sonja Lojen
Researcher at Jožef Stefan Institute
Publications - 85
Citations - 2004
Sonja Lojen is an academic researcher from Jožef Stefan Institute. The author has contributed to research in topics: Stable isotope ratio & Sedimentary organic matter. The author has an hindex of 21, co-authored 84 publications receiving 1784 citations. Previous affiliations of Sonja Lojen include University of Ljubljana & University of Nova Gorica.
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Photosynthesis of Cockspur [Echinochloa crus-galli (L.) Beauv.] at Sites of Naturally Elevated CO2 Concentration
TL;DR: High abundance of cockspur (Echinochloa crus-galli) at the geothermal carbon dioxide spring area in Stavešinci indicates that this species is able to grow under widely varying CO2 concentrations, and analysis of the curves relating net photosynthetic rate to intercellular CO2 concentration revealed higher CO2 compensation concentration in plants growing at higherCO2 concentration.
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Influence of canopy drip on the indicative N, S and δ15N content in moss Hypnum cupressiforme
TL;DR: The results showed that a short distance (<1 m) between the sampling location and the nearest tree canopy increases the N in the moss, and significantly higher values are found in mosses sampled in areas within the forest stand.
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Stable isotope analysis of major bioelements, multi-element profiling, and discriminant analysis for geographical origins of organically grown potato
TL;DR: The characterisation and classification of organically grown potatoes were defined in terms of four Slovenian macro-regions: the Alpine, Dinaric, Mediterranean and Pannonian regions and the proposed model showed that 100% of the samples were correctly classified.
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Influence of chloride and sediment matrix on the extractability of HgS (cinnabar and metacinnabar) by nitric acid
TL;DR: Results demonstrate that conclusions based on the extraction schemes using concentrated HNO3 as single extractant or as the first extractant in the sequential extraction procedures can be biased.
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Stable isotope ratio and elemental composition parameters in combination with discriminant analysis classification model to assign country of origin to commercial vegetables – A preliminary study
TL;DR: In this article, the suitability of the use of isotopic compositions of light elements in combination with multi-elemental fingerprinting was investigated for distinguishing lettuce, sweet pepper, and tomato samples according to their given country of origin, and thus ensuring their traceability in terms of their authenticity.