Serveur d'exploration sur les coopérations entre la France et le Brésil

Attention, ce site est en cours de développement !
Attention, site généré par des moyens informatiques à partir de corpus bruts.
Les informations ne sont donc pas validées.

Evaluation of pharmaceuticals in surface water: Reliability of PECs compared to MECs

Identifieur interne : 000182 ( Main/Exploration ); précédent : 000181; suivant : 000183

Evaluation of pharmaceuticals in surface water: Reliability of PECs compared to MECs

Auteurs : RBID : Pascal:14-0270211

Descripteurs français

English descriptors

Abstract

Due to the current analytical processes that are not able to measure all the pharmaceutical molecules and to the high costs and the consumption of time to sample and analyze PhACs, models to calculate Predicted Environmental Concentrations (PECs) have been developed. However a comparison between MECs and PECs, taking into account the methods of calculations and peculiarly the parameters included in the calculation (consumption data, pharmacokinetic parameters, elimination rate in STPs and in the environment), is necessary to assess the validity of PECs. MEC variations of sixteen target PhACs [ acetaminophen (ACE), amlodipine (AML), atenolol (ATE), caffeine (CAF), carbamazepine (CAR), doxycycline (DOX), epoxycarbamazepine (EPO), fluvoxamine (FLU), furosemide (FUR), hydrochlorothiazide (HYD), ifosfamide (IFO), losartan (LOS), pravastatin (PRA), progesterone (PROG), ramipril (RAM), trimetazidine (TRI)] have been evaluated during one hydrological cycle, from October 2011 to October 2012 and compared to PECs calculated by using an adaptation of the models proposed by Heberer and Feldmann (2005) and EMEA (2006). Comparison of PECs and MECS has been achieved for six molecules: ATE, CAR, DOX, FUR, HYD and PRA. DOX, FUR and HYD present differences between PECs and MECs on an annual basis but their temporal evolutions follow the same trends. PEC evaluation for these PhACs could then be possible but need some adjustments of consumption patterns, pharmacokinetic parameters and/or mechanisms of (bio) degradation. ATE, CAR and PRA are well modeled; PECs can then be used as reliable estimation of concentrations without any reserve.

Links toward previous steps (curation, corpus...)


Le document en format XML

<record>
<TEI>
<teiHeader>
<fileDesc>
<titleStmt>
<title xml:lang="en" level="a">Evaluation of pharmaceuticals in surface water: Reliability of PECs compared to MECs</title>
<author>
<name sortKey="Celle Jeanton, Helene" uniqKey="Celle Jeanton H">Hélène Celle-Jeanton</name>
<affiliation wicri:level="3">
<inist:fA14 i1="01">
<s1>Clermont Université, Université Blaise Pascal, Laboratoire Magmas et Volcans, BP 10448</s1>
<s2>63000 Clermont-Ferrand</s2>
<s3>FRA</s3>
<sZ>1 aut.</sZ>
<sZ>3 aut.</sZ>
<sZ>6 aut.</sZ>
</inist:fA14>
<country>France</country>
<placeName>
<region type="region" nuts="2">Auvergne</region>
<settlement type="city">Clermont-Ferrand</settlement>
</placeName>
</affiliation>
<affiliation wicri:level="3">
<inist:fA14 i1="02">
<s1>CNRS, UMR 6524, LMV</s1>
<s2>63038 Clermont-Ferrand</s2>
<s3>FRA</s3>
<sZ>1 aut.</sZ>
<sZ>3 aut.</sZ>
<sZ>6 aut.</sZ>
</inist:fA14>
<country>France</country>
<placeName>
<region type="region" nuts="2">Auvergne</region>
<settlement type="city">Clermont-Ferrand</settlement>
</placeName>
</affiliation>
<affiliation wicri:level="3">
<inist:fA14 i1="03">
<s1>IRD, R 163, LMV</s1>
<s2>63038 Clermont-Ferrand</s2>
<s3>FRA</s3>
<sZ>1 aut.</sZ>
<sZ>3 aut.</sZ>
</inist:fA14>
<country>France</country>
<placeName>
<region type="region" nuts="2">Auvergne</region>
<settlement type="city">Clermont-Ferrand</settlement>
</placeName>
</affiliation>
</author>
<author>
<name sortKey="Schemberg, Dimitri" uniqKey="Schemberg D">Dimitri Schemberg</name>
<affiliation wicri:level="3">
<inist:fA14 i1="04">
<s1>Agence Régionale de Santé d'Auvergne, 60 Avenue de l'Union Soviétique</s1>
<s2>63057 Clermont-Ferrand</s2>
<s3>FRA</s3>
<sZ>2 aut.</sZ>
</inist:fA14>
<country>France</country>
<placeName>
<region type="region" nuts="2">Auvergne</region>
<settlement type="city">Clermont-Ferrand</settlement>
</placeName>
</affiliation>
</author>
<author>
<name sortKey="Mohammed, Nabaz" uniqKey="Mohammed N">Nabaz Mohammed</name>
<affiliation wicri:level="3">
<inist:fA14 i1="01">
<s1>Clermont Université, Université Blaise Pascal, Laboratoire Magmas et Volcans, BP 10448</s1>
<s2>63000 Clermont-Ferrand</s2>
<s3>FRA</s3>
<sZ>1 aut.</sZ>
<sZ>3 aut.</sZ>
<sZ>6 aut.</sZ>
</inist:fA14>
<country>France</country>
<placeName>
<region type="region" nuts="2">Auvergne</region>
<settlement type="city">Clermont-Ferrand</settlement>
</placeName>
</affiliation>
<affiliation wicri:level="3">
<inist:fA14 i1="02">
<s1>CNRS, UMR 6524, LMV</s1>
<s2>63038 Clermont-Ferrand</s2>
<s3>FRA</s3>
<sZ>1 aut.</sZ>
<sZ>3 aut.</sZ>
<sZ>6 aut.</sZ>
</inist:fA14>
<country>France</country>
<placeName>
<region type="region" nuts="2">Auvergne</region>
<settlement type="city">Clermont-Ferrand</settlement>
</placeName>
</affiliation>
<affiliation wicri:level="3">
<inist:fA14 i1="03">
<s1>IRD, R 163, LMV</s1>
<s2>63038 Clermont-Ferrand</s2>
<s3>FRA</s3>
<sZ>1 aut.</sZ>
<sZ>3 aut.</sZ>
</inist:fA14>
<country>France</country>
<placeName>
<region type="region" nuts="2">Auvergne</region>
<settlement type="city">Clermont-Ferrand</settlement>
</placeName>
</affiliation>
<affiliation wicri:level="4">
<inist:fA14 i1="05">
<s1>Université de Bordeaux, EA 4592 Géoressources & Environnement, ENSEGID, 1 allée F. Daguin</s1>
<s2>33607 Pessac</s2>
<s3>FRA</s3>
<sZ>3 aut.</sZ>
<sZ>7 aut.</sZ>
</inist:fA14>
<country>France</country>
<placeName>
<region type="region" nuts="2">Aquitaine</region>
<settlement type="city">Pessac</settlement>
</placeName>
<orgName type="university">Université de Bordeaux</orgName>
</affiliation>
</author>
<author>
<name sortKey="Huneau, Frederic" uniqKey="Huneau F">Frédéric Huneau</name>
<affiliation wicri:level="1">
<inist:fA14 i1="06">
<s1>Université de Corse Pascal Paoli, Faculté des Sciences et Techniques, Laboratoire d'Hydrogéologie, Campus Grimaldi, BP 52</s1>
<s2>20250 Corte</s2>
<s3>FRA</s3>
<sZ>4 aut.</sZ>
</inist:fA14>
<country>France</country>
<wicri:noRegion>20250 Corte</wicri:noRegion>
<wicri:noRegion>BP 52</wicri:noRegion>
<wicri:noRegion>20250 Corte</wicri:noRegion>
</affiliation>
<affiliation wicri:level="1">
<inist:fA14 i1="07">
<s1>CNRS, UMR 6134, SPE</s1>
<s2>20250 Corte</s2>
<s3>FRA</s3>
<sZ>4 aut.</sZ>
</inist:fA14>
<country>France</country>
<wicri:noRegion>20250 Corte</wicri:noRegion>
<wicri:noRegion>SPE</wicri:noRegion>
<wicri:noRegion>20250 Corte</wicri:noRegion>
</affiliation>
</author>
<author>
<name sortKey="Bertrand, Guillaume" uniqKey="Bertrand G">Guillaume Bertrand</name>
<affiliation wicri:level="3">
<inist:fA14 i1="08">
<s1>University of Sao Paulo, Instituto de Geosciências, Centro de Pesquisas de Água Subterrânea, Rua do lago, 562 Cidade universitaria</s1>
<s2>05508-80, Sao Paulo</s2>
<s3>BRA</s3>
<sZ>5 aut.</sZ>
</inist:fA14>
<country>Brésil</country>
<placeName>
<settlement type="city">São Paulo</settlement>
<region type="state">État de São Paulo</region>
</placeName>
</affiliation>
</author>
<author>
<name sortKey="Lavastre, Veronique" uniqKey="Lavastre V">Véronique Lavastre</name>
<affiliation wicri:level="3">
<inist:fA14 i1="01">
<s1>Clermont Université, Université Blaise Pascal, Laboratoire Magmas et Volcans, BP 10448</s1>
<s2>63000 Clermont-Ferrand</s2>
<s3>FRA</s3>
<sZ>1 aut.</sZ>
<sZ>3 aut.</sZ>
<sZ>6 aut.</sZ>
</inist:fA14>
<country>France</country>
<placeName>
<region type="region" nuts="2">Auvergne</region>
<settlement type="city">Clermont-Ferrand</settlement>
</placeName>
</affiliation>
<affiliation wicri:level="3">
<inist:fA14 i1="02">
<s1>CNRS, UMR 6524, LMV</s1>
<s2>63038 Clermont-Ferrand</s2>
<s3>FRA</s3>
<sZ>1 aut.</sZ>
<sZ>3 aut.</sZ>
<sZ>6 aut.</sZ>
</inist:fA14>
<country>France</country>
<placeName>
<region type="region" nuts="2">Auvergne</region>
<settlement type="city">Clermont-Ferrand</settlement>
</placeName>
</affiliation>
<affiliation wicri:level="3">
<inist:fA14 i1="09">
<s1>Université de Lyon, Université Jean Monnet 23 rue du Dr. Michelon</s1>
<s2>42023 Saint Etienne</s2>
<s3>FRA</s3>
<sZ>6 aut.</sZ>
</inist:fA14>
<country>France</country>
<placeName>
<region type="region" nuts="2">Rhône-Alpes</region>
<settlement type="city">Saint Etienne</settlement>
</placeName>
</affiliation>
</author>
<author>
<name sortKey="Le Coustumer, Philippe" uniqKey="Le Coustumer P">Philippe Le Coustumer</name>
<affiliation wicri:level="4">
<inist:fA14 i1="05">
<s1>Université de Bordeaux, EA 4592 Géoressources & Environnement, ENSEGID, 1 allée F. Daguin</s1>
<s2>33607 Pessac</s2>
<s3>FRA</s3>
<sZ>3 aut.</sZ>
<sZ>7 aut.</sZ>
</inist:fA14>
<country>France</country>
<placeName>
<region type="region" nuts="2">Aquitaine</region>
<settlement type="city">Pessac</settlement>
</placeName>
<orgName type="university">Université de Bordeaux</orgName>
</affiliation>
</author>
</titleStmt>
<publicationStmt>
<idno type="inist">14-0270211</idno>
<date when="2014">2014</date>
<idno type="stanalyst">PASCAL 14-0270211 INIST</idno>
<idno type="RBID">Pascal:14-0270211</idno>
<idno type="wicri:Area/Main/Corpus">000000</idno>
<idno type="wicri:Area/Main/Curation">002848</idno>
<idno type="wicri:Area/Main/Exploration">000182</idno>
</publicationStmt>
<seriesStmt>
<idno type="ISSN">0160-4120</idno>
<title level="j" type="abbreviated">Environ. int.</title>
<title level="j" type="main">Environment international</title>
</seriesStmt>
</fileDesc>
<profileDesc>
<textClass>
<keywords scheme="KwdEn" xml:lang="en">
<term>Central Massif</term>
<term>Concentration measurement</term>
<term>Drug</term>
<term>Environment</term>
<term>Evaluation</term>
<term>France</term>
<term>Methodology</term>
<term>Prediction</term>
<term>Reliability</term>
<term>Rivers</term>
<term>Surface water</term>
<term>Water pollution</term>
</keywords>
<keywords scheme="Pascal" xml:lang="fr">
<term>Evaluation</term>
<term>Médicament</term>
<term>Eau surface</term>
<term>Fiabilité</term>
<term>Prédiction</term>
<term>Environnement</term>
<term>France</term>
<term>Mesure concentration</term>
<term>Pollution eau</term>
<term>Massif Central</term>
<term>Rivière</term>
<term>Méthodologie</term>
</keywords>
<keywords scheme="Wicri" type="geographic" xml:lang="fr">
<term>France</term>
</keywords>
<keywords scheme="Wicri" type="topic" xml:lang="fr">
<term>Médicament</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front>
<div type="abstract" xml:lang="en">Due to the current analytical processes that are not able to measure all the pharmaceutical molecules and to the high costs and the consumption of time to sample and analyze PhACs, models to calculate Predicted Environmental Concentrations (PECs) have been developed. However a comparison between MECs and PECs, taking into account the methods of calculations and peculiarly the parameters included in the calculation (consumption data, pharmacokinetic parameters, elimination rate in STPs and in the environment), is necessary to assess the validity of PECs. MEC variations of sixteen target PhACs [ acetaminophen (ACE), amlodipine (AML), atenolol (ATE), caffeine (CAF), carbamazepine (CAR), doxycycline (DOX), epoxycarbamazepine (EPO), fluvoxamine (FLU), furosemide (FUR), hydrochlorothiazide (HYD), ifosfamide (IFO), losartan (LOS), pravastatin (PRA), progesterone (PROG), ramipril (RAM), trimetazidine (TRI)] have been evaluated during one hydrological cycle, from October 2011 to October 2012 and compared to PECs calculated by using an adaptation of the models proposed by Heberer and Feldmann (2005) and EMEA (2006). Comparison of PECs and MECS has been achieved for six molecules: ATE, CAR, DOX, FUR, HYD and PRA. DOX, FUR and HYD present differences between PECs and MECs on an annual basis but their temporal evolutions follow the same trends. PEC evaluation for these PhACs could then be possible but need some adjustments of consumption patterns, pharmacokinetic parameters and/or mechanisms of (bio) degradation. ATE, CAR and PRA are well modeled; PECs can then be used as reliable estimation of concentrations without any reserve.</div>
</front>
</TEI>
<inist>
<standard h6="B">
<pA>
<fA01 i1="01" i2="1">
<s0>0160-4120</s0>
</fA01>
<fA02 i1="01">
<s0>ENVIDV</s0>
</fA02>
<fA03 i2="1">
<s0>Environ. int.</s0>
</fA03>
<fA05>
<s2>73</s2>
</fA05>
<fA08 i1="01" i2="1" l="ENG">
<s1>Evaluation of pharmaceuticals in surface water: Reliability of PECs compared to MECs</s1>
</fA08>
<fA11 i1="01" i2="1">
<s1>CELLE-JEANTON (Hélène)</s1>
</fA11>
<fA11 i1="02" i2="1">
<s1>SCHEMBERG (Dimitri)</s1>
</fA11>
<fA11 i1="03" i2="1">
<s1>MOHAMMED (Nabaz)</s1>
</fA11>
<fA11 i1="04" i2="1">
<s1>HUNEAU (Frédéric)</s1>
</fA11>
<fA11 i1="05" i2="1">
<s1>BERTRAND (Guillaume)</s1>
</fA11>
<fA11 i1="06" i2="1">
<s1>LAVASTRE (Véronique)</s1>
</fA11>
<fA11 i1="07" i2="1">
<s1>LE COUSTUMER (Philippe)</s1>
</fA11>
<fA14 i1="01">
<s1>Clermont Université, Université Blaise Pascal, Laboratoire Magmas et Volcans, BP 10448</s1>
<s2>63000 Clermont-Ferrand</s2>
<s3>FRA</s3>
<sZ>1 aut.</sZ>
<sZ>3 aut.</sZ>
<sZ>6 aut.</sZ>
</fA14>
<fA14 i1="02">
<s1>CNRS, UMR 6524, LMV</s1>
<s2>63038 Clermont-Ferrand</s2>
<s3>FRA</s3>
<sZ>1 aut.</sZ>
<sZ>3 aut.</sZ>
<sZ>6 aut.</sZ>
</fA14>
<fA14 i1="03">
<s1>IRD, R 163, LMV</s1>
<s2>63038 Clermont-Ferrand</s2>
<s3>FRA</s3>
<sZ>1 aut.</sZ>
<sZ>3 aut.</sZ>
</fA14>
<fA14 i1="04">
<s1>Agence Régionale de Santé d'Auvergne, 60 Avenue de l'Union Soviétique</s1>
<s2>63057 Clermont-Ferrand</s2>
<s3>FRA</s3>
<sZ>2 aut.</sZ>
</fA14>
<fA14 i1="05">
<s1>Université de Bordeaux, EA 4592 Géoressources & Environnement, ENSEGID, 1 allée F. Daguin</s1>
<s2>33607 Pessac</s2>
<s3>FRA</s3>
<sZ>3 aut.</sZ>
<sZ>7 aut.</sZ>
</fA14>
<fA14 i1="06">
<s1>Université de Corse Pascal Paoli, Faculté des Sciences et Techniques, Laboratoire d'Hydrogéologie, Campus Grimaldi, BP 52</s1>
<s2>20250 Corte</s2>
<s3>FRA</s3>
<sZ>4 aut.</sZ>
</fA14>
<fA14 i1="07">
<s1>CNRS, UMR 6134, SPE</s1>
<s2>20250 Corte</s2>
<s3>FRA</s3>
<sZ>4 aut.</sZ>
</fA14>
<fA14 i1="08">
<s1>University of Sao Paulo, Instituto de Geosciências, Centro de Pesquisas de Água Subterrânea, Rua do lago, 562 Cidade universitaria</s1>
<s2>05508-80, Sao Paulo</s2>
<s3>BRA</s3>
<sZ>5 aut.</sZ>
</fA14>
<fA14 i1="09">
<s1>Université de Lyon, Université Jean Monnet 23 rue du Dr. Michelon</s1>
<s2>42023 Saint Etienne</s2>
<s3>FRA</s3>
<sZ>6 aut.</sZ>
</fA14>
<fA20>
<s1>10-21</s1>
</fA20>
<fA21>
<s1>2014</s1>
</fA21>
<fA23 i1="01">
<s0>ENG</s0>
</fA23>
<fA43 i1="01">
<s1>INIST</s1>
<s2>17812</s2>
<s5>354000504549830020</s5>
</fA43>
<fA44>
<s0>0000</s0>
<s1>© 2014 INIST-CNRS. All rights reserved.</s1>
</fA44>
<fA45>
<s0>1 p.3/4</s0>
</fA45>
<fA47 i1="01" i2="1">
<s0>14-0270211</s0>
</fA47>
<fA60>
<s1>P</s1>
</fA60>
<fA61>
<s0>A</s0>
</fA61>
<fA64 i1="01" i2="1">
<s0>Environment international</s0>
</fA64>
<fA66 i1="01">
<s0>GBR</s0>
</fA66>
<fC01 i1="01" l="ENG">
<s0>Due to the current analytical processes that are not able to measure all the pharmaceutical molecules and to the high costs and the consumption of time to sample and analyze PhACs, models to calculate Predicted Environmental Concentrations (PECs) have been developed. However a comparison between MECs and PECs, taking into account the methods of calculations and peculiarly the parameters included in the calculation (consumption data, pharmacokinetic parameters, elimination rate in STPs and in the environment), is necessary to assess the validity of PECs. MEC variations of sixteen target PhACs [ acetaminophen (ACE), amlodipine (AML), atenolol (ATE), caffeine (CAF), carbamazepine (CAR), doxycycline (DOX), epoxycarbamazepine (EPO), fluvoxamine (FLU), furosemide (FUR), hydrochlorothiazide (HYD), ifosfamide (IFO), losartan (LOS), pravastatin (PRA), progesterone (PROG), ramipril (RAM), trimetazidine (TRI)] have been evaluated during one hydrological cycle, from October 2011 to October 2012 and compared to PECs calculated by using an adaptation of the models proposed by Heberer and Feldmann (2005) and EMEA (2006). Comparison of PECs and MECS has been achieved for six molecules: ATE, CAR, DOX, FUR, HYD and PRA. DOX, FUR and HYD present differences between PECs and MECs on an annual basis but their temporal evolutions follow the same trends. PEC evaluation for these PhACs could then be possible but need some adjustments of consumption patterns, pharmacokinetic parameters and/or mechanisms of (bio) degradation. ATE, CAR and PRA are well modeled; PECs can then be used as reliable estimation of concentrations without any reserve.</s0>
</fC01>
<fC02 i1="01" i2="X">
<s0>002B03M03</s0>
</fC02>
<fC02 i1="02" i2="X">
<s0>001D16A04A</s0>
</fC02>
<fC03 i1="01" i2="X" l="FRE">
<s0>Evaluation</s0>
<s5>02</s5>
</fC03>
<fC03 i1="01" i2="X" l="ENG">
<s0>Evaluation</s0>
<s5>02</s5>
</fC03>
<fC03 i1="01" i2="X" l="SPA">
<s0>Evaluación</s0>
<s5>02</s5>
</fC03>
<fC03 i1="02" i2="X" l="FRE">
<s0>Médicament</s0>
<s5>03</s5>
</fC03>
<fC03 i1="02" i2="X" l="ENG">
<s0>Drug</s0>
<s5>03</s5>
</fC03>
<fC03 i1="02" i2="X" l="SPA">
<s0>Medicamento</s0>
<s5>03</s5>
</fC03>
<fC03 i1="03" i2="X" l="FRE">
<s0>Eau surface</s0>
<s5>05</s5>
</fC03>
<fC03 i1="03" i2="X" l="ENG">
<s0>Surface water</s0>
<s5>05</s5>
</fC03>
<fC03 i1="03" i2="X" l="SPA">
<s0>Agua superficie</s0>
<s5>05</s5>
</fC03>
<fC03 i1="04" i2="X" l="FRE">
<s0>Fiabilité</s0>
<s5>06</s5>
</fC03>
<fC03 i1="04" i2="X" l="ENG">
<s0>Reliability</s0>
<s5>06</s5>
</fC03>
<fC03 i1="04" i2="X" l="SPA">
<s0>Fiabilidad</s0>
<s5>06</s5>
</fC03>
<fC03 i1="05" i2="X" l="FRE">
<s0>Prédiction</s0>
<s5>08</s5>
</fC03>
<fC03 i1="05" i2="X" l="ENG">
<s0>Prediction</s0>
<s5>08</s5>
</fC03>
<fC03 i1="05" i2="X" l="SPA">
<s0>Predicción</s0>
<s5>08</s5>
</fC03>
<fC03 i1="06" i2="X" l="FRE">
<s0>Environnement</s0>
<s5>09</s5>
</fC03>
<fC03 i1="06" i2="X" l="ENG">
<s0>Environment</s0>
<s5>09</s5>
</fC03>
<fC03 i1="06" i2="X" l="SPA">
<s0>Medio ambiente</s0>
<s5>09</s5>
</fC03>
<fC03 i1="07" i2="X" l="FRE">
<s0>France</s0>
<s2>NG</s2>
<s5>11</s5>
</fC03>
<fC03 i1="07" i2="X" l="ENG">
<s0>France</s0>
<s2>NG</s2>
<s5>11</s5>
</fC03>
<fC03 i1="07" i2="X" l="SPA">
<s0>Francia</s0>
<s2>NG</s2>
<s5>11</s5>
</fC03>
<fC03 i1="08" i2="X" l="FRE">
<s0>Mesure concentration</s0>
<s5>12</s5>
</fC03>
<fC03 i1="08" i2="X" l="ENG">
<s0>Concentration measurement</s0>
<s5>12</s5>
</fC03>
<fC03 i1="08" i2="X" l="SPA">
<s0>Medición concentración</s0>
<s5>12</s5>
</fC03>
<fC03 i1="09" i2="X" l="FRE">
<s0>Pollution eau</s0>
<s5>16</s5>
</fC03>
<fC03 i1="09" i2="X" l="ENG">
<s0>Water pollution</s0>
<s5>16</s5>
</fC03>
<fC03 i1="09" i2="X" l="SPA">
<s0>Contaminación agua</s0>
<s5>16</s5>
</fC03>
<fC03 i1="10" i2="X" l="FRE">
<s0>Massif Central</s0>
<s2>NG</s2>
<s5>17</s5>
</fC03>
<fC03 i1="10" i2="X" l="ENG">
<s0>Central Massif</s0>
<s2>NG</s2>
<s5>17</s5>
</fC03>
<fC03 i1="10" i2="X" l="SPA">
<s0>Macizo Central</s0>
<s2>NG</s2>
<s5>17</s5>
</fC03>
<fC03 i1="11" i2="X" l="FRE">
<s0>Rivière</s0>
<s5>18</s5>
</fC03>
<fC03 i1="11" i2="X" l="ENG">
<s0>Rivers</s0>
<s5>18</s5>
</fC03>
<fC03 i1="11" i2="X" l="SPA">
<s0>Río</s0>
<s5>18</s5>
</fC03>
<fC03 i1="12" i2="X" l="FRE">
<s0>Méthodologie</s0>
<s5>19</s5>
</fC03>
<fC03 i1="12" i2="X" l="ENG">
<s0>Methodology</s0>
<s5>19</s5>
</fC03>
<fC03 i1="12" i2="X" l="SPA">
<s0>Metodología</s0>
<s5>19</s5>
</fC03>
<fC07 i1="01" i2="X" l="FRE">
<s0>Europe</s0>
<s2>NG</s2>
</fC07>
<fC07 i1="01" i2="X" l="ENG">
<s0>Europe</s0>
<s2>NG</s2>
</fC07>
<fC07 i1="01" i2="X" l="SPA">
<s0>Europa</s0>
<s2>NG</s2>
</fC07>
<fN21>
<s1>335</s1>
</fN21>
</pA>
</standard>
</inist>
</record>

Pour manipuler ce document sous Unix (Dilib)

EXPLOR_STEP=FranceBresilV1/Data/Main/Exploration
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000182 | SxmlIndent | more

Ou

HfdSelect -h $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd -nk 000182 | SxmlIndent | more

Pour mettre un lien sur cette page dans le réseau Wicri

{{Explor lien
   |wiki=   *** parameter Area/wikiCode missing *** 
   |area=    FranceBresilV1
   |flux=    Main
   |étape=   Exploration
   |type=    RBID
   |clé=     Pascal:14-0270211
   |texte=   Evaluation of pharmaceuticals in surface water: Reliability of PECs compared to MECs
}}

Wicri

This area was generated with Dilib version V0.6.01.
Data generation: Wed Apr 1 17:49:02 2015. Site generation: Mon Mar 11 12:05:52 2024