In situ application of a cellulose bag and an ion exchanger for differentiation of labile and inert metal species in aquatic systems

AbstractWe contribute to the knowledge of charophyte meadows as key components of aquatic systems by analysing how they affect wetland sediments. We performed a factorial-design experiment with limnocorrals (outdoor mesocosms) in a Mediterranean protected wetland with presence or absence of charophytes [Chara vulgaris (CV) and Chara hispida (CH), planted from cultures or recruited in situ from germination of their fructifications]. The first 1 cm-surficial and 2 cm-bottom sediment layers were analysed for cladoceran ephippia, ostracods valves, benthic community of bacteria and periphytic biofilm, and charophyte fructifications. In the surficial sediment, the ephippia density was fourfold higher in the conditions with charophytes than in sites with no-charophytes and higher apparent viability was found. The surficial sediment periphyton biofilm was composed mainly of diatoms, with tenfold higher biomass underneath charophytes, and a much diverse community. The specific microhabitat generated by each charophyte species was reflected in the different abundances and relationships between the analysed components, firstly establishing a divergence with the sediment without meadows and, secondly, a distinction between the meadows of CH and CV that exhibit particular morphology-architecture, might exudate different metabolites and might have different allelopathic capacities over microalgae and microinvertebrates. Thus, the charophyte–sediment tandem is relevant for biodiversity and habitat conservation.

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Evolution and stabilization of subnanometric metal species in confined space by in situ TEM

Nature Communications ◽

10.1038/s41467-018-03012-6 ◽

2018 ◽

Vol 9 (1) ◽

Cited By ~ 55

Author(s):

Lichen Liu ◽

Dmitri N. Zakharov ◽

Raul Arenal ◽

Patricia Concepcion ◽

Eric A. Stach ◽

...

Keyword(s):

Metal Species ◽

In Situ Tem ◽

Confined Space

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Combining in situ flow cytometry and artificial neural networks for aquatic systems monitoring

Expert Systems with Applications ◽

10.1016/j.eswa.2011.01.140 ◽

2011 ◽

Vol 38 (8) ◽

pp. 9626-9632 ◽

Cited By ~ 8

Author(s):

G.C. Pereira ◽

N.F.F. Ebecken

Keyword(s):

Neural Networks ◽

Flow Cytometry ◽

Artificial Neural Networks ◽

Aquatic Systems ◽

Artificial Neural

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Dehalogenation of Chloroarenes with Sodium Dihydridobis(2-methoxyethoxo)aluminate in the Presence of Transition Metal Compounds

Collection of Czechoslovak Chemical Communications ◽

10.1135/cccc19941645 ◽

1994 ◽

Vol 59 (7) ◽

pp. 1645-1653 ◽

Cited By ~ 4

Author(s):

Jaroslav Včelák ◽

Jiří Hetflejš

Keyword(s):

Kinetic Model ◽

Transition Metal ◽

Catalyst Deactivation ◽

Transition Metal Compounds ◽

Metal Species ◽

Metal Compound ◽

Transition Metal Compound ◽

Metal Compounds ◽

First Order

Dehalogenation of low-chlorinated arenes such as p-dichlorobenzene or chlorobenzene with the title hydride is accelerated in the presence of transition metal species formed in situ from the corresponding 2,4-pentanedionates. Their efficiency decreases in the order: Co ≈ Ni ≈ Pd > Cu >> Mn > Fe which results from changes of their activity and stability. The dehalogenation is well described by a kinetic model consisting of the set of dehalogenation steps which are first order in the chloroarene combined with the catalyst deactivation which is second order in the transition metal compound.

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A Novel In Situ Tool for the Exposure and Analysis of Microorganisms in Natural Aquatic Systems

Environmental Science & Technology ◽

10.1021/es901492y ◽

2009 ◽

Vol 43 (21) ◽

pp. 8240-8244 ◽

Cited By ~ 2

Author(s):

Thomas A. Davis ◽

Dana F. Simon ◽

Christel S. Hassler ◽

Kevin J. Wilkinson

Keyword(s):

Aquatic Systems

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