Oxygen imaging at the sediment‐water interface using lifetime‐based laser induced fluorescence (τLIF) of nano‐sized particles

Murniati, Erni; Groß, Doris; Herlina, Herlina; Hancke, Kasper; Glud, Ronnie N.; Lorke, Andreas

doi:10.1002/lom3.10108

Cited by 11 publications

(17 citation statements)

References 32 publications

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“…Since low velocities favor settlement of fine sediment, a negative correlation between flow velocity, PMP, and PMO might have been observed. In addition, flow velocity affects oxygen penetration depth in sediment (Murniati et al, ) and consequently must influence the extent of PMO. This has relevance for the patterns of PMP and PMO that might be expected in flowing waters.…”

Section: Discussionmentioning

confidence: 99%

Sediment Properties Drive Spatial Variability of Potential Methane Production and Oxidation in Small Streams

2020

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Emissions of the potent greenhouse gas methane (CH 4 ) from streams and rivers are a significant component of global freshwater methane emissions. The distribution of CH 4 production and oxidation within stream sections and in vertical sediment profiles is not well understood, and the environmental controls on CH 4 production and emission in such systems create a significant challenge for assessing larger-scale dynamics. Here we investigate factors driving the spatial variability of sediment potential methane production (PMP) and potential methane oxidation (PMO) in a temperate stream network in Germany. PMP was highly variable, ranging from 5 × 10 −4 to 28.58 μg CH 4 gDW −1 d −1 and PMO ranged from 0.43 μg CH 4 gDW −1 d −1 to 14.41 μg CH 4 gDW −1 d −1 . Important drivers of spatial variability of PMP and PMO in the sediments of the stream main-stem were related to fine sediment fraction and organic carbon content. At smaller spatial scale, that is, in a sub-catchment stream section, the drivers were more complex and included sediment nitrogen and organic carbon content, as well as porewater dissolved organic carbon, dissolved organic matter quality, and metal concentrations. As with reservoirs and impounded rivers, fine sediment deposition and organic carbon content were found to be key controls on the spatial variability of CH 4 production and oxidation. These findings enhance our understanding of CH 4 dynamics, improve the potential for identifying CH 4 production hotspots in small streams, and provide a potential means for upscaling emission rates in larger-scale assessments.Plain Language Summary Globally, streams and rivers emit a significant amount of the highly potent greenhouse gas methane. The methane emitted from streams is mainly produced in sediments. The distribution of production and consumption in stream sections and sediment profiles is not well understood, which creates a significant challenge for estimating, for example, regional methane emissions from streams and rivers. We investigated possible factors controlling the variability from site to site and different depths of methane production and consumption in sediments of a stream network in south-west Germany. Sediment properties, the amount of fine sediment and organic carbon content, were key drivers of this variability in the main stream. In a smaller side arm of the main stream, the drivers were more complex, including nitrogen and organic carbon content of the sediment, but also porewater dissolved organic carbon, dissolved organic matter quality, and metals. As for reservoirs and dammed rivers, the accumulation of fine sediments and organic carbon content was found to be key controls of sediment methane production and consumption. These findings enhance our understanding of methane dynamics, improve the potential for identifying methane production hotspots in small streams, and provide a potential means for upscaling emission rates in larger-scale assessments.

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Section: Discussionmentioning

confidence: 99%

Sediment Properties Drive Spatial Variability of Potential Methane Production and Oxidation in Small Streams

2020

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“…This can be accomplished by employing distributed sensing with optical indicators immobilized in sensor micro-and nanoparticles (MPs and NPs; together referred to as optical sensor particles [OSPs]) in combination with luminescence imaging systems (Fig. 1c) [25,[52][53][54][55][56]. Micro-and nanoparticle-based sensors can be coated or embedded into samples with a complex 3D structure (Fig.…”

Section: Maria Moßhammer and Kasper Elgetti Brodersen Shared First Aumentioning

confidence: 99%

“…The acquired RGB/NIR images can subsequently be split in separate channels for calculations of relevant image ratios using imaging-software. Reprinted from Sensors and Actuators B: Chemical, 237, Koren K., Jakobsen S. L., Kühl M., In-vivo imaging of O 2 dynamics on coral surfaces spray-painted with sensor nanoparticles, 1095-1101, © 2016 Elsevier B.V. (2016), with permission from Elsevier [53] For spatial mapping with OSPs, optical sensor systems rely on imaging analyte concentration-dependent changes in photon emission with camera systems for ratiometric luminescence imaging [31,32,57,58] or for lifetime-based luminescence imaging [55,59,60]. Pure luminescence intensity imaging suffers from various drawbacks.…”

Section: Imaging Set-upmentioning

confidence: 99%

“…In addition, by mapping O 2 distributions and dynamics in 3Dbioprinted constructs it is now possible to optimize scaffold designs for construction of artificial photosynthetic biofilms or corals with optimal light harvesting capacity and photosynthetic quantum yields, or other constructs that enable efficient growth of different cell types in close proximity [67]. Table 1] and MY [Table 1] in a PS-PVP matrix, diameter < 500 nm) have also been used to study the O 2 distribution and dynamics around burrows of the larvae of the water insect Chironomus plumosus during active ventilation of their burrows in the sediment [55]. For this, sensor NPs were dispersed in the overlaying water of the burrow and were illuminated with a planar laser light sheet technique.…”

Section: D Bioprinting With Bioinks Functionalized With Sensor Nanopmentioning

confidence: 99%

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Nanoparticle- and microparticle-based luminescence imaging of chemical species and temperature in aquatic systems: a review

et al. 2019

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Most aquatic systems rely on a multitude of biogeochemical processes that are coupled with each other in a complex and dynamic manner. To understand such processes, minimally invasive analytical tools are required that allow continuous, real-time measurements of individual reactions in these complex systems. Optical chemical sensors can be used in the form of fiber-optic sensors, planar sensors, or as micro-and nanoparticles (MPs and NPs). All have their specific merits, but only the latter allow for visualization and quantification of chemical gradients over 3D structures. This review (with 147 references) summarizes recent developments mainly in the field of optical NP sensors relevant for chemical imaging in aquatic science. The review encompasses methods for signal read-out and imaging, preparation of NPs and MPs, and an overview of relevant MP/NP-based sensors. Additionally, examples of MP/NP-based sensors in aquatic systems such as corals, plant tissue, biofilms, sediments and watersediment interfaces, marine snow and in 3D bioprinting are given. We also address current challenges and future perspectives of NP-based sensing in aquatic systems in a concluding section.

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“…The distribution and dynamics of dissolved gases and ions in sediments and soils provide key information on biogeochemical processes such as microbial respiration 1,2 , or radial oxygen loss from plant roots 3,4,5 , and the chemical microenvironment of microbes 6,7 , plant rhizospheres 5,8,9 and animal burrows 10,11,12 . Biological and chemical activity in such diffusion-limited environments can create steep gradients of chemical substrates or products of biogeochemical processes.…”

Section: Introductionmentioning

confidence: 99%

Luminescence Lifetime Imaging of O<sub>2</sub> with a Frequency-Domain-Based Camera System

Moßhammer

Scholz

Holst³

et al. 2019

JoVE

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We describe a method to image dissolved oxygen (O 2), in 2D at high spatial (< 50-100 µm) and temporal (< 10 s) resolution. The method employs O 2 sensitive luminescent sensor foils (planar optodes) in combination with a specialized camera system for imaging luminescence lifetime in the frequency-domain. Planar optodes are prepared by dissolving the O 2-sensitive indicator dye in a polymer and spreading the mixture on a solid support in a defined thickness via knife coating. After evaporation of the solvent, the planar optode is placed in close contact with the sample of interest-here demonstrated with the roots of the aquatic plant Littorella uniflora. The O 2 concentration-dependent change in the luminescence lifetime of the indicator dye within the planar optode is imaged via the backside of the transparent carrier foil and aquarium wall using a special camera. This camera measures the luminescence lifetime (µs) via a shift in phase angle between a modulated excitation signal and emission signal. This method is superior to luminescence intensity imaging methods, as the signal is independent of the dye concentration or intensity of the excitation source, and solely relies on the luminescence decay time, which is an intrinsically referenced parameter. Consequently, an additional reference dye or other means of referencing are not needed. We demonstrate the use of the system for macroscopic O 2 imaging of plant rhizospheres, but the camera system can also easily be coupled to a microscope.

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Oxygen imaging at the sediment‐water interface using lifetime‐based laser induced fluorescence (τLIF) of nano‐sized particles

Cited by 11 publications

References 32 publications

Sediment Properties Drive Spatial Variability of Potential Methane Production and Oxidation in Small Streams

Sediment Properties Drive Spatial Variability of Potential Methane Production and Oxidation in Small Streams

Nanoparticle- and microparticle-based luminescence imaging of chemical species and temperature in aquatic systems: a review

Luminescence Lifetime Imaging of O<sub>2</sub> with a Frequency-Domain-Based Camera System

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