An alternative evaluation method for accumulated dead leaves of Posidonia oceanica (L.) Delile on the beaches: removal of uranium from aqueous solutions

Aydın, Mustafa; Çavaş, Levent; Merdıvan, Melek

doi:10.1007/s10967-012-1782-2

Cited by 18 publications

(9 citation statements)

References 28 publications

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“…There are several types of potential uses of the dead leaves: as building insulation (German Company, NeptuGmbH, www.compost.gr), as compost element in Tunisia (Kouki et al, 2012) and in Greece (Hellas Compost, www.neptugmbh.de/preise-fuer-neptutherm). Research on the use of dead leaves of P. oceanica highlights the possibility of using leaves as wastewater decontaminating elements such as: methylene blue Dural et al, 2011), methyl violet (Cengiz and Cavas, 2010), uranium (Aydin et al, 2012) or orthophosphate (Wahab et al, 2011). Nowadays, use of P. oceanica banquettes depends on each country's regulations.…”

Section: Resultsmentioning

confidence: 99%

The seagrass Posidonia oceanica : Ecosystem services identification and economic evaluation of goods and benefits

Campagne¹,

Salles

Boissery

et al. 2015

Marine Pollution Bulletin

138

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Section: Resultsmentioning

confidence: 99%

The seagrass Posidonia oceanica : Ecosystem services identification and economic evaluation of goods and benefits

Campagne¹,

Salles

Boissery

et al. 2015

Marine Pollution Bulletin

138

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“…Some few examples are available in the literature where its potential use as metal biosorbent is assessed: indeed, it has already been demonstrated that Posidonia oceanica could adsorb uranium (VI) [53], chromium (VI) [54], lead (II) [28] with the highest sorption capacities of 5.67, 14.48 and 140 mg/g, respectively. Furthermore this biomass has also been reported to effectively adsorb anionic species, such as ortophosphate ions, with sorption capacity of 7.45 mg/g [55].…”

Section: Resultsmentioning

confidence: 99%

Removal of Vanadium(III) and Molybdenum(V) from Wastewater Using Posidonia oceanica (Tracheophyta) Biomass

2013

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The use of dried and re-hydrated biomass of the seagrass Posidonia oceanica was investigated as an alternative and –low-cost biomaterial for removal of vanadium(III) and molybdenum(V) from wastewaters. Initial characterisation of this biomaterial identified carboxylic groups on the cuticle as potentially responsible for cation sorption, and confirmed the toxic-metal bioaccumulation. The combined effects on biosorption performance of equilibrium pH and metal concentrations were investigated in an ideal single-metal system and in more real-life multicomponent systems. There were either with one metal (vanadium or molybdenum) and sodium nitrate, as representative of high ionic strength systems, or with the two metals (vanadium and molybdenum). For the single-metal solutions, the optimum was at pH 3, where a significant proportion of vanadium was removed (ca. 70%) while there was ca. 40% adsorption of molybdenum. The data obtained from the more real-life multicomponent systems showed that biosorption of one metal was improved both by the presence of the other metal and by high ionic strength, suggesting a synergistic effect on biosorption rather than competition. There data ware used for the development of a simple multi-metal equilibrium model based on the non-competitive Langmuir approach, which was successfully fitted to experimental data and represents a useful support tool for the prediction of biosorption performance in such real-life systems. Overall, the results suggest that biomass of P. oceanica can be used as an efficient biosorbent for removal of vanadium(III) and molybdenum(V) from aqueous solutions. This process thus offers an eco-compatible solution for the reuse of the waste material of leaves that accumulate on the beach due to both human activities and to storms at sea.

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“…In previous studies from our laboratory, SEM images of raw P. oceanica powder were obtained. The relevant information can be found in Aydin et al [30].…”

Section: Sorbent Characterizationmentioning

confidence: 99%

Artificial Neural Network Model for Biosorption of Methylene Blue by Dead Leaves of Posidonia Oceanica (L.) Delile

Demir¹,

Dural²,

Alyürük³

et al. 2012

NNW

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Genetic algorithms (GAs) are stochastic methods that are widely used in search and optimization. The breeding process is the main driving mechanism for GAs that leads the way to find the global optimum. And the initial phase of the breeding process starts with parent selection. The selection utilized in a GA is effective on the convergence speed of the algorithm. A GA can use different selection mechanisms for choosing parents from the population and in many applications the process generally depends on the fitness values of the individuals. Artificial neural networks (ANNs) are used to decide the appropriate parents by the new hybrid algorithm proposed in this study. And the use of neural networks aims to produce better offspring during the GA search. The neural network utilized in this algorithm tries to learn the structural patterns and correlations that enable two parents to produce high-fit offspring. In the breeding process, the first parent is selected based on the fitness value as usual. Then it is the neural network that decides the appropriate mate for the first parent chosen. Hence, the selection mechanism is not solely dependent on the fitness values in this study. The algorithm is tested with seven benchmark functions. It is observed from results of these tests that the new selection method leads genetic algorithm to converge faster.

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An alternative evaluation method for accumulated dead leaves of Posidonia oceanica (L.) Delile on the beaches: removal of uranium from aqueous solutions

Cited by 18 publications

References 28 publications

The seagrass Posidonia oceanica : Ecosystem services identification and economic evaluation of goods and benefits

The seagrass Posidonia oceanica : Ecosystem services identification and economic evaluation of goods and benefits

Removal of Vanadium(III) and Molybdenum(V) from Wastewater Using Posidonia oceanica (Tracheophyta) Biomass

Artificial Neural Network Model for Biosorption of Methylene Blue by Dead Leaves of Posidonia Oceanica (L.) Delile

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