61 research outputs found

    Electrochemical Boron-Doped Diamond Film Microcells Micromachined with Femtosecond Laser: Application to the Determination of Water Framework Directive Metals

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    Planar electrochemical microcells were micromachined in a microcrystalline boron-doped diamond (BDD) thin layer using a femtosecond laser (Photo 1). The electrochemical performances of the new laser-machined BDD microcell were assessed by differential pulse anodic stripping voltammetry (DPASV) determinations, at nM level, of the four heavy metal ions of the European Water Framework Directive (WFD): Cd(II), Ni(II), Pb(II), Hg(II). The results are compared with those of previously published BDD electrodes [1]. The calculated detection limits are 0.4 nM, 6.8 nM and 5.5 nm 2.3 nM, and the linearities go up to 35nM, 97nM, 48nM and 5nM for respectively Cd(II), Ni(II) Pb(II) and Hg(II). The detection limits meet with the environmental quality standard of the WFD for three of the four metals. It was shown that the four heavy metals could be detected simultaneously, in the concentration ratio usually measured in sewage or runoff waters

    The Genetic Landscape and Epidemiology of Phenylketonuria

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    Phenylketonuria (PKU), caused by variants in the phenylalanine hydroxylase (PAH) gene, is the most common autosomal-recessive Mendelian phenotype of amino acid metabolism. We estimated that globally 0.45 million individuals have PKU, with global prevalence 1:23,930 live births (range 1:4,500 [Italy]-1:125,000 [Japan]). Comparing genotypes and metabolic phenotypes from 16,092 affected subjects revealed differences in disease severity in 51 countries from 17 world regions, with the global phenotype distribution of 62% classic PKU, 22% mild PKU, and 16% mild hyperphenylalaninemia. A gradient in genotype and phenotype distribution exists across Europe, from classic PKU in the east to mild PKU in the southwest and mild hyperphenylalaninemia in the south. The c.1241A gt G (p.Tyr414Cys)-associated genotype can be traced from Northern to Western Europe, from Sweden via Norway, to Denmark, to the Netherlands. The frequency of classic PKU increases from Europe (56%) via Middle East (71%) to Australia (80%). Of 758 PAH variants, c.1222C gt T (p.Arg408Trp) (22.2%), c.1066-11G gt A (IVS10-11G gt A) (6.4%), and c.782G gt A (p.Arg261Gln) (5.5%) were most common and responsible for two prevalent genotypes: p.[Arg408Trp];[Arg408Trp] (11.4%) and c.[1066-11G gt A];[1066-11G gt A] (2.6%). Most genotypes (73%) were compound heterozygous, 27% were homozygous, and 55% of 3,659 different genotypes occurred in only a single individual. PAH variants were scored using an allelic phenotype value and correlated with pre-treatment blood phenylalanine concentrations (n = 6,115) and tetrahydrobiopterin loading test results (n = 4,381), enabling prediction of both a genotype-based phenotype (88%) and tetrahydrobiopterin responsiveness (83%). This study shows that large genotype databases enable accurate phenotype prediction, allowing appropriate targeting of therapies to optimize clinical outcome

    The Genetic Landscape and Epidemiology of Phenylketonuria

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    Phenylketonuria (PKU), caused by variants in the phenylalanine hydroxylase (PAH) gene, is the most common autosomal-recessive Mendelian phenotype of amino acid metabolism. We estimated that globally 0.45 million individuals have PKU, with global prevalence 1:23,930 live births (range 1:4,500 [Italy]–1:125,000 [Japan]). Comparing genotypes and metabolic phenotypes from 16,092 affected subjects revealed differences in disease severity in 51 countries from 17 world regions, with the global phenotype distribution of 62% classic PKU, 22% mild PKU, and 16% mild hyperphenylalaninemia. A gradient in genotype and phenotype distribution exists across Europe, from classic PKU in the east to mild PKU in the southwest and mild hyperphenylalaninemia in the south. The c.1241A>G (p.Tyr414Cys)-associated genotype can be traced from Northern to Western Europe, from Sweden via Norway, to Denmark, to the Netherlands. The frequency of classic PKU increases from Europe (56%) via Middle East (71%) to Australia (80%). Of 758 PAH variants, c.1222C>T (p.Arg408Trp) (22.2%), c.1066−11G>A (IVS10−11G>A) (6.4%), and c.782G>A (p.Arg261Gln) (5.5%) were most common and responsible for two prevalent genotypes: p.[Arg408Trp];[Arg408Trp] (11.4%) and c.[1066−11G>A];[1066−11G>A] (2.6%). Most genotypes (73%) were compound heterozygous, 27% were homozygous, and 55% of 3,659 different genotypes occurred in only a single individual. PAH variants were scored using an allelic phenotype value and correlated with pre-treatment blood phenylalanine concentrations (n = 6,115) and tetrahydrobiopterin loading test results (n = 4,381), enabling prediction of both a genotype-based phenotype (88%) and tetrahydrobiopterin responsiveness (83%). This study shows that large genotype databases enable accurate phenotype prediction, allowing appropriate targeting of therapies to optimize clinical outcome.Fil: Hillert, Alicia. No especifĂ­ca;Fil: Anikster, Yair. No especifĂ­ca;Fil: Belanger Quintana, Amaya. No especifĂ­ca;Fil: Burlina, Alberto. No especifĂ­ca;Fil: Burton, Barbara K.. No especifĂ­ca;Fil: Carducci, Carla. No especifĂ­ca;Fil: Chiesa, Ana Elena. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Oficina de CoordinaciĂłn Administrativa Parque Centenario. Centro de Investigaciones EndocrinolĂłgicas "Dr. CĂ©sar Bergada". Gobierno de la Ciudad de Buenos Aires. Centro de Investigaciones EndocrinolĂłgicas "Dr. CĂ©sar Bergada". FundaciĂłn de EndocrinologĂ­a Infantil. Centro de Investigaciones EndocrinolĂłgicas "Dr. CĂ©sar Bergada"; ArgentinaFil: Christodoulou, John. No especifĂ­ca;Fil: Dordevic, Maja. No especifĂ­ca;Fil: Desviat, Lourdes R.. No especifĂ­ca;Fil: Eliyahu, Aviva. No especifĂ­ca;Fil: Evers, Roeland A.F.. No especifĂ­ca;Fil: Fajkusova, Lena. No especifĂ­ca;Fil: Feillet, Francois. No especifĂ­ca;Fil: Bonfim Freitas, Pedro E.. No especifĂ­ca;Fil: Gizewska, MarĂ­a. No especifĂ­ca;Fil: Gundorova, Polina. No especifĂ­ca;Fil: Karall, Daniela. No especifĂ­ca;Fil: Kneller, Katya. No especifĂ­ca;Fil: Kutsev, Sergey I.. No especifĂ­ca;Fil: Leuzzi, Vincenzo. No especifĂ­ca;Fil: Levy, Harvey L.. No especifĂ­ca;Fil: Lichter Koneck, Uta. No especifĂ­ca;Fil: Muntau, Ania C.. No especifĂ­ca;Fil: Namour, Fares. No especifĂ­ca;Fil: Oltarzewsk, Mariusz. No especifĂ­ca;Fil: Paras, Andrea. No especifĂ­ca;Fil: Perez, BelĂ©n. No especifĂ­ca;Fil: Polak, Emil. No especifĂ­ca;Fil: Polyakov, Alexander V.. No especifĂ­ca;Fil: Porta, Francesco. No especifĂ­ca;Fil: Rohrbach, Marianne. No especifĂ­ca;Fil: Scholl BĂŒrgi, Sabine. No especifĂ­ca;Fil: SpĂ©cola, Norma. No especifĂ­ca;Fil: Stojiljkovic, Maja. No especifĂ­ca;Fil: Shen, Nan. No especifĂ­ca;Fil: Santana da Silva, Luiz C.. No especifĂ­ca;Fil: Skouma, Anastasia. No especifĂ­ca;Fil: van Spronsen, Francjan. No especifĂ­ca;Fil: Stoppioni, Vera. No especifĂ­ca;Fil: Thöny, Beat. No especifĂ­ca;Fil: Trefz, Friedrich K.. No especifĂ­ca;Fil: Vockley, Jerry. No especifĂ­ca;Fil: Yu, Youngguo. No especifĂ­ca;Fil: Zschocke, Johannes. No especifĂ­ca;Fil: Hoffmann, Georg F.. No especifĂ­ca;Fil: Garbade, Sven F.. No especifĂ­ca;Fil: Blau, Nenad. No especifĂ­ca

    The role of organisms in hyporheic processes : gaps in current knowledge, needs for future research and applications

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    Fifty years after the hyporheic zone was first defined (Orghidan, 1959), there are still gaps in the knowledge regarding the role of biodiversity in hyporheic processes. First, some methodological questions remained unanswered regarding the interactions between biodiversity and physical processes, both for the study of habitat characteristics and interactions at different scales. Furthermore, many questions remain to be addressed to help inform our understanding of invertebrate community dynamics, especially regarding the trophic niches of organisms, the functional groups present within sediment, and their temporal changes. Understanding microbial community dynamics would require investigations about their relationship with the physical characteristics of the sediment, their diversity, their relationship with metabolic pathways, their inter- actions with invertebrates, and their response to environmental stress. Another fundamental research question is that of the importance of the hyporheic zone in the global metabolism of the river, which must be explored in relation to organic matter recycling, the effects of disturbances, and the degradation of contaminants. Finally, the application of this knowledge requires the development of methods for the estimation of hydro- logical exchanges, especially for the management of sediment clogging, the optimization of self-purification, and the integration of climate change in environmental policies. The development of descriptors of hyporheic zone health and of new metrology is also crucial to include specific targets in water policies for the long-term management of the system and a clear evaluation of restoration strategies

    Collecte d'énergie de sédiment fluviatile à l'aide d'un biopile: premiers résultats

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    International audienceWe have built a sedimentary fuel cell or Sediment Microbial Fuel Cell (SMFC). The device works on the principle of microbial fuel cells by exploiting directly the energy contained in sedimentary organic matter. It converts in electricity the sediment potential, thanks to microorganisms able to waste electrons from their metabolism directly to a solid anode instead of their natural electron acceptors, such as oxygen or nitrate. The sediment microbial fuel cell was made of a non-corrodible anode (graphite) buried in anoxic sediments layer and connected via an electrical circuit to a cathode installed in surface water. We present the first results of laboratory sedimentary fuel cell and a prototype installed in the river
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