Actinide thermodynamics department
Research
The department of “Thermodynamics of Actinides” is hosting a significant part of the analytical backbone of the institutes, e.g. mass spectrometry, atomic emission spectrometry, elemental analyses, powder diffraction, vibrational and nuclear magnetic resonance spectroscopy. This allows us to work on several steps in the thermodynamics value chain.
From a chemical point of view, the focus is set on heavy metal contaminants, namely long-lived radionuclides. The derivation of parameters describing hydrolysis, aqueous complexation, surface reactions or solubilities are combined with structural investigations to validate the species set forming reactions, enabling mechanistic models. Such parameters are fed into respective databases after verification. Gaps still remaining can be closed by applying different estimation methods, from mineral analogies to Linear Free Energy Relationships.
Combined with field data (mineralogical composition, porosity, pH, redox potential, ionic strength, temperature, or CO2 partial pressure), geochemical speciation patterns and radionuclide retardation can then be computed for complex systems on different scales. To name just a few, we worked on cementitious barriers with organic additives, with real-world crystalline samples or with Chornobyl soils. There, also, geostatistics helps to map the heterogeneities observed, and sensitivity / uncertainty analysis not only increases confidence in computational results but supports also the identification of critical parameters and submodels.
Quite recently, these approaches were complemented by machine learning methods, this will eventually lead to digital twins for nuclear waste repositories. Eventually, this shall bridge the distance between atomistic investigations and the large-scale prognostics required e.g. in performance assessment covering distances of several km over up to one million years.
The actual major research topics of our department can be summarized as follows:
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Spectroscopic characterization of heavy metal species in aqueous solutions and at mineral surfaces.
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(Radio)chemical analyses of contaminant elements as well as matrix compounds down to the ultratracer level.
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Set-up of thermodynamic data bases for prospective deep nuclear waste repositories.
Latest publication
Norway spruce (Picea abies L. Karst) transpired canopy fluid geochemistry exhibits signs of underlying orogenic Au-Co mineralization in northern Finland
Middleton, M.; Pospiech, S.; Kinnunen, J.
Abstract
Tree canopy fluids, transpired through leaf stomata, can be comparably easily collected and analyzed for their elemental concentrations. However, the transpired fluids are rarely considered as sample media in the context of exploration geochemistry, despite a pioneering study suggesting their potential for revealing geochemical signatures of underlying glacial sediment covered bedrock, including subsurface mineral deposits. We present a test study of 17 samples to provide the proof-of-concept that elemental concentration levels of a broader element range in Norway spruce canopy fluids are well detectable, especially including non-nutrient elements. To test the applicability, samples had been derived over two sub-outcropping and blind Au-Co prospects in northern Finland and in calcsilicatic and mafic units outside the deposits.
We hypothesized that Norway spruce canopy fluids contain a recognizable geochemical signal in glaciated terrain to detect underlying respectively sub-outcropping geological features. A polyethylene plastic bag was tied over a bundle of sun-lit branches for at 17 sampling locations for 4 days in mid August.
Under partially cloudy conditions, \textgreater 10 ml of fluid was collected, sufficient for ICP-MS analysis after laboratory filtering.
The quality of the uncensored data was adequate for the elements Al, B, Ba, Bi, Ca, Ce, Co, Cr, Cs, Cu, Fe, Ga, La, Li, Mg, Mn, Mo, Na, Ni, Pb, Rb, Sc, Sn, Sr, Tl, V, and Zn. The concentration levels ranged from 1.5 \textmu/L for Sn to 75.5 mg/L for Ca. The framework of compositional data analysis (CoDa) is used to detect element log-ratios which discriminate samples related to underlying lithology and mineralization. The results indicate that lithological units are discriminated with logratios of Al, B and Li. Cesium, La, and Ce exhibit elevated concentrations on top of the subcropping Au-Co prospects.
Norway spruce is a desirable species for biogeochemical prospecting as it is a commonly available species in the boreal zone and shows to contain a weak signal of underlying geochemical signal of bedrock despite of glacial sediment and unconsolidated regolith cover.
Thus, its canopy transpired fluids are a practical non-invasive sampling media that makes them applicable also at environmentally and other sensitive regions.
Future studies are required to prove its applicability as a sampling media in exploration.
Keywords: exploration; enviromental geochemistry; compositional data; transpired fluids; Norway spruce; tree sap; ICP-MS
Related publications
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Data publication: Elemental data from transpired fluid from Norway spruce …
ROBIS: 42687 is supplemented by this (Id 41163) publication -
Data publication: Elemental data from transpired fluid from Norway spruce …
ROBIS: 42687 HZDR-primary research data are used by this (Id 41163) publication -
Data publication: Elemental data from transpired fluid from Norway spruce …
RODARE: 4328 HZDR-primary research data are used by this (Id 41163) publication
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Geochemistry: Exploration, Environment, Analysis 26(2026)2
DOI: 10.1144/geochem2025-020
Permalink: https://www.hzdr.de/publications/Publ-41163
Team
Head | |||||
| Name | Bld./Office | +49 351 260 | |||
|---|---|---|---|---|---|
| Prof. Dr. Vinzenz Brendler | 801/P250 | 2430 | v.brendler@hzdr.de | ||
Employees | |||||
| Name | Bld./Office | +49 351 260 | |||
| Dr. Frank Bok | 801/P202 | 3551 | f.bok@hzdr.de | ||
| Rodrigo Castro Biondo | r.castro-biondo | ||||
| Alexandra Duckstein | 801/P153 | 2774 | a.duckstein | ||
| Dr. Jerome Kretzschmar | 801/P207 | 3136 | j.kretzschmar | ||
| Dr. Elmar Plischke | e.plischke | ||||
| Dr. Solveig Pospiech | 801/P205 | 2128 | s.pospiech | ||
| Dr. Anke Richter | 801/P202 | 2426 | anke.richter | ||
| Raj Sarkar | 801/P103 | 2720 | r.sarkar | ||
| Dr. Katja Schmeide | 801/P208 | 2436 2513 | k.schmeide | ||
| Salim Shams Aldin Azzam | 801/P103 | 2720 | s.shams | ||
| Susanne Zechel | 801/P352 | 3328 | s.zechel | ||
Other employees | |||||
| Name | Bld./Office | +49 351 260 | |||
| Liya Tomy | F100/431 | 4438 | l.tomy | ||
Analytics
Head | |||||
| Name | Bld./Office | +49 351 260 | |||
|---|---|---|---|---|---|
| Dr. Harald Foerstendorf | 801/P251 | 3664 2504 | h.foerstendorf | ||
Employees | |||||
| Name | Bld./Office | +49 351 260 | |||
| Sabrina Beutner | 801/P203 | 2429 2528 | s.beutner | ||
| Tim Gitzel | 801/P316 | 2025 2517 | t.gitzel | ||
| Dominik Goldbach | 801/P203 | 3198 | d.goldbach | ||
| Karsten Heim | 801/P201 | 2434 2504 | k.heim | ||
| Sylvia Schöne | 850/102.1 | 2526 3198 | s.schoene@hzdr.de, s.guertler | ||

