Thomas Riedel
University of Oldenburg
36 Papers
30 Citations
Thomas Riedel is an academic researcher from University of Oldenburg. The author has contributed to research in topics: Dissolved organic carbon & Biology. The author has an hindex of 18, co-authored 25 publications. Previous affiliations of Thomas Riedel include Braunschweig University of Technology.
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Papers
Iron traps terrestrially derived dissolved organic matter at redox interfaces
TL;DR: It is proposed that redox interfaces, which are ubiquitous in marine and terrestrial settings, are selective yet intermediate barriers that limit the flux of land-derived DOM to oceanic waters.
Molecular Fractionation of Dissolved Organic Matter with Metal Salts
TL;DR: It is concluded that polyvalent cations not only alter the net mobility but also the very molecular composition of DOM in aquatic environments.
296
Biogeochemistry of dissolved organic matter in an anoxic intertidal creek bank
Michael Seidel,Melanie Beck,Thomas Riedel,Hannelore Waska,I. G. N. A. Suryaputra,I. G. N. A. Suryaputra,Bernhard Schnetger,Jutta Niggemann,Meinhard Simon,Thorsten Dittmar +9 more
TL;DR: In this paper, the authors studied the seasonal turnover and marine and terrestrial sources of DOM in an intertidal creek bank of the southern North Sea down to 3m depth and link the biogeochemical processes to FT-ICR-MS data and the analyses of inorganic porewater chemistry, δ 13 C of solid-phase extracted dissolved organic carbon (SPE-DOC), dissolved black carbon (DBC), and dissolved carbohydrates (DCHO).
268
Linking the Molecular Signature of Heteroatomic Dissolved Organic Matter to Watershed Characteristics in World Rivers
TL;DR: It is demonstrated how changes in land use directly affect downstream DOM quality and could impact C and nutrient cycling on a global scale.
213
A Method Detection Limit for the Analysis of Natural Organic Matter via Fourier Transform Ion Cyclotron Resonance Mass Spectrometry
Thomas Riedel,Thorsten Dittmar +1 more
TL;DR: The feasibility of a method detection limit (MDL) for the analysis of natural organic matter to identify peaks that can reliably be distinguished from noise by estimating the uncertainty of the noise is tested.
201