Sample volume optimization for radon-in-water detection by liquid scintillation counting
Radon is used as environmental tracer in a wide range of applications particularly in aquatic environments. If liquid scintillation counting (LSC) is used as detection method the radon has to be transferred from the water sample into a scintillation cocktail. Whereas the volume of the cocktail is ge...
Ausführliche Beschreibung
Autor*in: |
Schubert, Michael [verfasserIn] |
---|
Format: |
E-Artikel |
---|---|
Sprache: |
Englisch |
Erschienen: |
2014transfer abstract |
---|
Schlagwörter: |
---|
Umfang: |
5 |
---|
Übergeordnetes Werk: |
Enthalten in: Acute caffeine ingestion improves 3-km run performance, cognitive function, and psychological state of young recreational runners - Khcharem, Amir ELSEVIER, 2021, New York, NY [u.a.] |
---|---|
Übergeordnetes Werk: |
volume:134 ; year:2014 ; pages:109-113 ; extent:5 |
Links: |
---|
DOI / URN: |
10.1016/j.jenvrad.2014.03.005 |
---|
Katalog-ID: |
ELV033804559 |
---|
LEADER | 01000caa a22002652 4500 | ||
---|---|---|---|
001 | ELV033804559 | ||
003 | DE-627 | ||
005 | 20230625195048.0 | ||
007 | cr uuu---uuuuu | ||
008 | 180603s2014 xx |||||o 00| ||eng c | ||
024 | 7 | |a 10.1016/j.jenvrad.2014.03.005 |2 doi | |
028 | 5 | 2 | |a GBVA2014008000007.pica |
035 | |a (DE-627)ELV033804559 | ||
035 | |a (ELSEVIER)S0265-931X(14)00084-8 | ||
040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
041 | |a eng | ||
082 | 0 | |a 690 |a 540 | |
082 | 0 | 4 | |a 690 |q DE-600 |
082 | 0 | 4 | |a 540 |q DE-600 |
082 | 0 | 4 | |a 540 |q VZ |
084 | |a 15,3 |2 ssgn | ||
084 | |a PHARM |q DE-84 |2 fid | ||
084 | |a 44.00 |2 bkl | ||
084 | |a 44.38 |2 bkl | ||
084 | |a 42.66 |2 bkl | ||
084 | |a 44.40 |2 bkl | ||
100 | 1 | |a Schubert, Michael |e verfasserin |4 aut | |
245 | 1 | 0 | |a Sample volume optimization for radon-in-water detection by liquid scintillation counting |
264 | 1 | |c 2014transfer abstract | |
300 | |a 5 | ||
336 | |a nicht spezifiziert |b zzz |2 rdacontent | ||
337 | |a nicht spezifiziert |b z |2 rdamedia | ||
338 | |a nicht spezifiziert |b zu |2 rdacarrier | ||
520 | |a Radon is used as environmental tracer in a wide range of applications particularly in aquatic environments. If liquid scintillation counting (LSC) is used as detection method the radon has to be transferred from the water sample into a scintillation cocktail. Whereas the volume of the cocktail is generally given by the size of standard LSC vials (20 ml) the water sample volume is not specified. Aim of the study was an optimization of the water sample volume, i.e. its minimization without risking a significant decrease in LSC count-rate and hence in counting statistics. An equation is introduced, which allows calculating the ²²²Rn concentration that was initially present in a water sample as function of the volumes of water sample, sample flask headspace and scintillation cocktail, the applicable radon partition coefficient, and the detected count-rate value. It was shown that water sample volumes exceeding about 900 ml do not result in a significant increase in count-rate and hence counting statistics. On the other hand, sample volumes that are considerably smaller than about 500 ml lead to noticeably lower count-rates (and poorer counting statistics). Thus water sample volumes of about 500–900 ml should be chosen for LSC radon-in-water detection, if 20 ml vials are applied. | ||
520 | |a Radon is used as environmental tracer in a wide range of applications particularly in aquatic environments. If liquid scintillation counting (LSC) is used as detection method the radon has to be transferred from the water sample into a scintillation cocktail. Whereas the volume of the cocktail is generally given by the size of standard LSC vials (20 ml) the water sample volume is not specified. Aim of the study was an optimization of the water sample volume, i.e. its minimization without risking a significant decrease in LSC count-rate and hence in counting statistics. An equation is introduced, which allows calculating the ²²²Rn concentration that was initially present in a water sample as function of the volumes of water sample, sample flask headspace and scintillation cocktail, the applicable radon partition coefficient, and the detected count-rate value. It was shown that water sample volumes exceeding about 900 ml do not result in a significant increase in count-rate and hence counting statistics. On the other hand, sample volumes that are considerably smaller than about 500 ml lead to noticeably lower count-rates (and poorer counting statistics). Thus water sample volumes of about 500–900 ml should be chosen for LSC radon-in-water detection, if 20 ml vials are applied. | ||
650 | 7 | |a Radon as aquatic tracer |2 Elsevier | |
650 | 7 | |a LSC |2 Elsevier | |
650 | 7 | |a Sample volume optimization |2 Elsevier | |
700 | 1 | |a Kopitz, Juergen |4 oth | |
700 | 1 | |a Chałupnik, Stanisław |4 oth | |
773 | 0 | 8 | |i Enthalten in |n Elsevier |a Khcharem, Amir ELSEVIER |t Acute caffeine ingestion improves 3-km run performance, cognitive function, and psychological state of young recreational runners |d 2021 |g New York, NY [u.a.] |w (DE-627)ELV006295479 |
773 | 1 | 8 | |g volume:134 |g year:2014 |g pages:109-113 |g extent:5 |
856 | 4 | 0 | |u https://doi.org/10.1016/j.jenvrad.2014.03.005 |3 Volltext |
912 | |a GBV_USEFLAG_U | ||
912 | |a GBV_ELV | ||
912 | |a SYSFLAG_U | ||
912 | |a FID-PHARM | ||
912 | |a SSG-OLC-PHA | ||
912 | |a SSG-OPC-PHA | ||
936 | b | k | |a 44.00 |j Medizin: Allgemeines |q VZ |
936 | b | k | |a 44.38 |j Pharmakologie |q VZ |
936 | b | k | |a 42.66 |j Ethologie |x Biologie |q VZ |
936 | b | k | |a 44.40 |j Pharmazie |j Pharmazeutika |q VZ |
951 | |a AR | ||
952 | |d 134 |j 2014 |h 109-113 |g 5 | ||
953 | |2 045F |a 690 |
author_variant |
m s ms |
---|---|
matchkey_str |
schubertmichaelkopitzjuergenchaupnikstan:2014----:apeouepiiainordnnaedtcinyiud |
hierarchy_sort_str |
2014transfer abstract |
bklnumber |
44.00 44.38 42.66 44.40 |
publishDate |
2014 |
allfields |
10.1016/j.jenvrad.2014.03.005 doi GBVA2014008000007.pica (DE-627)ELV033804559 (ELSEVIER)S0265-931X(14)00084-8 DE-627 ger DE-627 rakwb eng 690 540 690 DE-600 540 DE-600 540 VZ 15,3 ssgn PHARM DE-84 fid 44.00 bkl 44.38 bkl 42.66 bkl 44.40 bkl Schubert, Michael verfasserin aut Sample volume optimization for radon-in-water detection by liquid scintillation counting 2014transfer abstract 5 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Radon is used as environmental tracer in a wide range of applications particularly in aquatic environments. If liquid scintillation counting (LSC) is used as detection method the radon has to be transferred from the water sample into a scintillation cocktail. Whereas the volume of the cocktail is generally given by the size of standard LSC vials (20 ml) the water sample volume is not specified. Aim of the study was an optimization of the water sample volume, i.e. its minimization without risking a significant decrease in LSC count-rate and hence in counting statistics. An equation is introduced, which allows calculating the ²²²Rn concentration that was initially present in a water sample as function of the volumes of water sample, sample flask headspace and scintillation cocktail, the applicable radon partition coefficient, and the detected count-rate value. It was shown that water sample volumes exceeding about 900 ml do not result in a significant increase in count-rate and hence counting statistics. On the other hand, sample volumes that are considerably smaller than about 500 ml lead to noticeably lower count-rates (and poorer counting statistics). Thus water sample volumes of about 500–900 ml should be chosen for LSC radon-in-water detection, if 20 ml vials are applied. Radon is used as environmental tracer in a wide range of applications particularly in aquatic environments. If liquid scintillation counting (LSC) is used as detection method the radon has to be transferred from the water sample into a scintillation cocktail. Whereas the volume of the cocktail is generally given by the size of standard LSC vials (20 ml) the water sample volume is not specified. Aim of the study was an optimization of the water sample volume, i.e. its minimization without risking a significant decrease in LSC count-rate and hence in counting statistics. An equation is introduced, which allows calculating the ²²²Rn concentration that was initially present in a water sample as function of the volumes of water sample, sample flask headspace and scintillation cocktail, the applicable radon partition coefficient, and the detected count-rate value. It was shown that water sample volumes exceeding about 900 ml do not result in a significant increase in count-rate and hence counting statistics. On the other hand, sample volumes that are considerably smaller than about 500 ml lead to noticeably lower count-rates (and poorer counting statistics). Thus water sample volumes of about 500–900 ml should be chosen for LSC radon-in-water detection, if 20 ml vials are applied. Radon as aquatic tracer Elsevier LSC Elsevier Sample volume optimization Elsevier Kopitz, Juergen oth Chałupnik, Stanisław oth Enthalten in Elsevier Khcharem, Amir ELSEVIER Acute caffeine ingestion improves 3-km run performance, cognitive function, and psychological state of young recreational runners 2021 New York, NY [u.a.] (DE-627)ELV006295479 volume:134 year:2014 pages:109-113 extent:5 https://doi.org/10.1016/j.jenvrad.2014.03.005 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-PHARM SSG-OLC-PHA SSG-OPC-PHA 44.00 Medizin: Allgemeines VZ 44.38 Pharmakologie VZ 42.66 Ethologie Biologie VZ 44.40 Pharmazie Pharmazeutika VZ AR 134 2014 109-113 5 045F 690 |
spelling |
10.1016/j.jenvrad.2014.03.005 doi GBVA2014008000007.pica (DE-627)ELV033804559 (ELSEVIER)S0265-931X(14)00084-8 DE-627 ger DE-627 rakwb eng 690 540 690 DE-600 540 DE-600 540 VZ 15,3 ssgn PHARM DE-84 fid 44.00 bkl 44.38 bkl 42.66 bkl 44.40 bkl Schubert, Michael verfasserin aut Sample volume optimization for radon-in-water detection by liquid scintillation counting 2014transfer abstract 5 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Radon is used as environmental tracer in a wide range of applications particularly in aquatic environments. If liquid scintillation counting (LSC) is used as detection method the radon has to be transferred from the water sample into a scintillation cocktail. Whereas the volume of the cocktail is generally given by the size of standard LSC vials (20 ml) the water sample volume is not specified. Aim of the study was an optimization of the water sample volume, i.e. its minimization without risking a significant decrease in LSC count-rate and hence in counting statistics. An equation is introduced, which allows calculating the ²²²Rn concentration that was initially present in a water sample as function of the volumes of water sample, sample flask headspace and scintillation cocktail, the applicable radon partition coefficient, and the detected count-rate value. It was shown that water sample volumes exceeding about 900 ml do not result in a significant increase in count-rate and hence counting statistics. On the other hand, sample volumes that are considerably smaller than about 500 ml lead to noticeably lower count-rates (and poorer counting statistics). Thus water sample volumes of about 500–900 ml should be chosen for LSC radon-in-water detection, if 20 ml vials are applied. Radon is used as environmental tracer in a wide range of applications particularly in aquatic environments. If liquid scintillation counting (LSC) is used as detection method the radon has to be transferred from the water sample into a scintillation cocktail. Whereas the volume of the cocktail is generally given by the size of standard LSC vials (20 ml) the water sample volume is not specified. Aim of the study was an optimization of the water sample volume, i.e. its minimization without risking a significant decrease in LSC count-rate and hence in counting statistics. An equation is introduced, which allows calculating the ²²²Rn concentration that was initially present in a water sample as function of the volumes of water sample, sample flask headspace and scintillation cocktail, the applicable radon partition coefficient, and the detected count-rate value. It was shown that water sample volumes exceeding about 900 ml do not result in a significant increase in count-rate and hence counting statistics. On the other hand, sample volumes that are considerably smaller than about 500 ml lead to noticeably lower count-rates (and poorer counting statistics). Thus water sample volumes of about 500–900 ml should be chosen for LSC radon-in-water detection, if 20 ml vials are applied. Radon as aquatic tracer Elsevier LSC Elsevier Sample volume optimization Elsevier Kopitz, Juergen oth Chałupnik, Stanisław oth Enthalten in Elsevier Khcharem, Amir ELSEVIER Acute caffeine ingestion improves 3-km run performance, cognitive function, and psychological state of young recreational runners 2021 New York, NY [u.a.] (DE-627)ELV006295479 volume:134 year:2014 pages:109-113 extent:5 https://doi.org/10.1016/j.jenvrad.2014.03.005 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-PHARM SSG-OLC-PHA SSG-OPC-PHA 44.00 Medizin: Allgemeines VZ 44.38 Pharmakologie VZ 42.66 Ethologie Biologie VZ 44.40 Pharmazie Pharmazeutika VZ AR 134 2014 109-113 5 045F 690 |
allfields_unstemmed |
10.1016/j.jenvrad.2014.03.005 doi GBVA2014008000007.pica (DE-627)ELV033804559 (ELSEVIER)S0265-931X(14)00084-8 DE-627 ger DE-627 rakwb eng 690 540 690 DE-600 540 DE-600 540 VZ 15,3 ssgn PHARM DE-84 fid 44.00 bkl 44.38 bkl 42.66 bkl 44.40 bkl Schubert, Michael verfasserin aut Sample volume optimization for radon-in-water detection by liquid scintillation counting 2014transfer abstract 5 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Radon is used as environmental tracer in a wide range of applications particularly in aquatic environments. If liquid scintillation counting (LSC) is used as detection method the radon has to be transferred from the water sample into a scintillation cocktail. Whereas the volume of the cocktail is generally given by the size of standard LSC vials (20 ml) the water sample volume is not specified. Aim of the study was an optimization of the water sample volume, i.e. its minimization without risking a significant decrease in LSC count-rate and hence in counting statistics. An equation is introduced, which allows calculating the ²²²Rn concentration that was initially present in a water sample as function of the volumes of water sample, sample flask headspace and scintillation cocktail, the applicable radon partition coefficient, and the detected count-rate value. It was shown that water sample volumes exceeding about 900 ml do not result in a significant increase in count-rate and hence counting statistics. On the other hand, sample volumes that are considerably smaller than about 500 ml lead to noticeably lower count-rates (and poorer counting statistics). Thus water sample volumes of about 500–900 ml should be chosen for LSC radon-in-water detection, if 20 ml vials are applied. Radon is used as environmental tracer in a wide range of applications particularly in aquatic environments. If liquid scintillation counting (LSC) is used as detection method the radon has to be transferred from the water sample into a scintillation cocktail. Whereas the volume of the cocktail is generally given by the size of standard LSC vials (20 ml) the water sample volume is not specified. Aim of the study was an optimization of the water sample volume, i.e. its minimization without risking a significant decrease in LSC count-rate and hence in counting statistics. An equation is introduced, which allows calculating the ²²²Rn concentration that was initially present in a water sample as function of the volumes of water sample, sample flask headspace and scintillation cocktail, the applicable radon partition coefficient, and the detected count-rate value. It was shown that water sample volumes exceeding about 900 ml do not result in a significant increase in count-rate and hence counting statistics. On the other hand, sample volumes that are considerably smaller than about 500 ml lead to noticeably lower count-rates (and poorer counting statistics). Thus water sample volumes of about 500–900 ml should be chosen for LSC radon-in-water detection, if 20 ml vials are applied. Radon as aquatic tracer Elsevier LSC Elsevier Sample volume optimization Elsevier Kopitz, Juergen oth Chałupnik, Stanisław oth Enthalten in Elsevier Khcharem, Amir ELSEVIER Acute caffeine ingestion improves 3-km run performance, cognitive function, and psychological state of young recreational runners 2021 New York, NY [u.a.] (DE-627)ELV006295479 volume:134 year:2014 pages:109-113 extent:5 https://doi.org/10.1016/j.jenvrad.2014.03.005 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-PHARM SSG-OLC-PHA SSG-OPC-PHA 44.00 Medizin: Allgemeines VZ 44.38 Pharmakologie VZ 42.66 Ethologie Biologie VZ 44.40 Pharmazie Pharmazeutika VZ AR 134 2014 109-113 5 045F 690 |
allfieldsGer |
10.1016/j.jenvrad.2014.03.005 doi GBVA2014008000007.pica (DE-627)ELV033804559 (ELSEVIER)S0265-931X(14)00084-8 DE-627 ger DE-627 rakwb eng 690 540 690 DE-600 540 DE-600 540 VZ 15,3 ssgn PHARM DE-84 fid 44.00 bkl 44.38 bkl 42.66 bkl 44.40 bkl Schubert, Michael verfasserin aut Sample volume optimization for radon-in-water detection by liquid scintillation counting 2014transfer abstract 5 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Radon is used as environmental tracer in a wide range of applications particularly in aquatic environments. If liquid scintillation counting (LSC) is used as detection method the radon has to be transferred from the water sample into a scintillation cocktail. Whereas the volume of the cocktail is generally given by the size of standard LSC vials (20 ml) the water sample volume is not specified. Aim of the study was an optimization of the water sample volume, i.e. its minimization without risking a significant decrease in LSC count-rate and hence in counting statistics. An equation is introduced, which allows calculating the ²²²Rn concentration that was initially present in a water sample as function of the volumes of water sample, sample flask headspace and scintillation cocktail, the applicable radon partition coefficient, and the detected count-rate value. It was shown that water sample volumes exceeding about 900 ml do not result in a significant increase in count-rate and hence counting statistics. On the other hand, sample volumes that are considerably smaller than about 500 ml lead to noticeably lower count-rates (and poorer counting statistics). Thus water sample volumes of about 500–900 ml should be chosen for LSC radon-in-water detection, if 20 ml vials are applied. Radon is used as environmental tracer in a wide range of applications particularly in aquatic environments. If liquid scintillation counting (LSC) is used as detection method the radon has to be transferred from the water sample into a scintillation cocktail. Whereas the volume of the cocktail is generally given by the size of standard LSC vials (20 ml) the water sample volume is not specified. Aim of the study was an optimization of the water sample volume, i.e. its minimization without risking a significant decrease in LSC count-rate and hence in counting statistics. An equation is introduced, which allows calculating the ²²²Rn concentration that was initially present in a water sample as function of the volumes of water sample, sample flask headspace and scintillation cocktail, the applicable radon partition coefficient, and the detected count-rate value. It was shown that water sample volumes exceeding about 900 ml do not result in a significant increase in count-rate and hence counting statistics. On the other hand, sample volumes that are considerably smaller than about 500 ml lead to noticeably lower count-rates (and poorer counting statistics). Thus water sample volumes of about 500–900 ml should be chosen for LSC radon-in-water detection, if 20 ml vials are applied. Radon as aquatic tracer Elsevier LSC Elsevier Sample volume optimization Elsevier Kopitz, Juergen oth Chałupnik, Stanisław oth Enthalten in Elsevier Khcharem, Amir ELSEVIER Acute caffeine ingestion improves 3-km run performance, cognitive function, and psychological state of young recreational runners 2021 New York, NY [u.a.] (DE-627)ELV006295479 volume:134 year:2014 pages:109-113 extent:5 https://doi.org/10.1016/j.jenvrad.2014.03.005 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-PHARM SSG-OLC-PHA SSG-OPC-PHA 44.00 Medizin: Allgemeines VZ 44.38 Pharmakologie VZ 42.66 Ethologie Biologie VZ 44.40 Pharmazie Pharmazeutika VZ AR 134 2014 109-113 5 045F 690 |
allfieldsSound |
10.1016/j.jenvrad.2014.03.005 doi GBVA2014008000007.pica (DE-627)ELV033804559 (ELSEVIER)S0265-931X(14)00084-8 DE-627 ger DE-627 rakwb eng 690 540 690 DE-600 540 DE-600 540 VZ 15,3 ssgn PHARM DE-84 fid 44.00 bkl 44.38 bkl 42.66 bkl 44.40 bkl Schubert, Michael verfasserin aut Sample volume optimization for radon-in-water detection by liquid scintillation counting 2014transfer abstract 5 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Radon is used as environmental tracer in a wide range of applications particularly in aquatic environments. If liquid scintillation counting (LSC) is used as detection method the radon has to be transferred from the water sample into a scintillation cocktail. Whereas the volume of the cocktail is generally given by the size of standard LSC vials (20 ml) the water sample volume is not specified. Aim of the study was an optimization of the water sample volume, i.e. its minimization without risking a significant decrease in LSC count-rate and hence in counting statistics. An equation is introduced, which allows calculating the ²²²Rn concentration that was initially present in a water sample as function of the volumes of water sample, sample flask headspace and scintillation cocktail, the applicable radon partition coefficient, and the detected count-rate value. It was shown that water sample volumes exceeding about 900 ml do not result in a significant increase in count-rate and hence counting statistics. On the other hand, sample volumes that are considerably smaller than about 500 ml lead to noticeably lower count-rates (and poorer counting statistics). Thus water sample volumes of about 500–900 ml should be chosen for LSC radon-in-water detection, if 20 ml vials are applied. Radon is used as environmental tracer in a wide range of applications particularly in aquatic environments. If liquid scintillation counting (LSC) is used as detection method the radon has to be transferred from the water sample into a scintillation cocktail. Whereas the volume of the cocktail is generally given by the size of standard LSC vials (20 ml) the water sample volume is not specified. Aim of the study was an optimization of the water sample volume, i.e. its minimization without risking a significant decrease in LSC count-rate and hence in counting statistics. An equation is introduced, which allows calculating the ²²²Rn concentration that was initially present in a water sample as function of the volumes of water sample, sample flask headspace and scintillation cocktail, the applicable radon partition coefficient, and the detected count-rate value. It was shown that water sample volumes exceeding about 900 ml do not result in a significant increase in count-rate and hence counting statistics. On the other hand, sample volumes that are considerably smaller than about 500 ml lead to noticeably lower count-rates (and poorer counting statistics). Thus water sample volumes of about 500–900 ml should be chosen for LSC radon-in-water detection, if 20 ml vials are applied. Radon as aquatic tracer Elsevier LSC Elsevier Sample volume optimization Elsevier Kopitz, Juergen oth Chałupnik, Stanisław oth Enthalten in Elsevier Khcharem, Amir ELSEVIER Acute caffeine ingestion improves 3-km run performance, cognitive function, and psychological state of young recreational runners 2021 New York, NY [u.a.] (DE-627)ELV006295479 volume:134 year:2014 pages:109-113 extent:5 https://doi.org/10.1016/j.jenvrad.2014.03.005 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-PHARM SSG-OLC-PHA SSG-OPC-PHA 44.00 Medizin: Allgemeines VZ 44.38 Pharmakologie VZ 42.66 Ethologie Biologie VZ 44.40 Pharmazie Pharmazeutika VZ AR 134 2014 109-113 5 045F 690 |
language |
English |
source |
Enthalten in Acute caffeine ingestion improves 3-km run performance, cognitive function, and psychological state of young recreational runners New York, NY [u.a.] volume:134 year:2014 pages:109-113 extent:5 |
sourceStr |
Enthalten in Acute caffeine ingestion improves 3-km run performance, cognitive function, and psychological state of young recreational runners New York, NY [u.a.] volume:134 year:2014 pages:109-113 extent:5 |
format_phy_str_mv |
Article |
bklname |
Medizin: Allgemeines Pharmakologie Ethologie Pharmazie Pharmazeutika |
institution |
findex.gbv.de |
topic_facet |
Radon as aquatic tracer LSC Sample volume optimization |
dewey-raw |
690 |
isfreeaccess_bool |
false |
container_title |
Acute caffeine ingestion improves 3-km run performance, cognitive function, and psychological state of young recreational runners |
authorswithroles_txt_mv |
Schubert, Michael @@aut@@ Kopitz, Juergen @@oth@@ Chałupnik, Stanisław @@oth@@ |
publishDateDaySort_date |
2014-01-01T00:00:00Z |
hierarchy_top_id |
ELV006295479 |
dewey-sort |
3690 |
id |
ELV033804559 |
language_de |
englisch |
fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">ELV033804559</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230625195048.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">180603s2014 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.jenvrad.2014.03.005</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">GBVA2014008000007.pica</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV033804559</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S0265-931X(14)00084-8</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">690</subfield><subfield code="a">540</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">690</subfield><subfield code="q">DE-600</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">540</subfield><subfield code="q">DE-600</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">540</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">15,3</subfield><subfield code="2">ssgn</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">PHARM</subfield><subfield code="q">DE-84</subfield><subfield code="2">fid</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">44.00</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">44.38</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">42.66</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">44.40</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Schubert, Michael</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Sample volume optimization for radon-in-water detection by liquid scintillation counting</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2014transfer abstract</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">5</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">z</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zu</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Radon is used as environmental tracer in a wide range of applications particularly in aquatic environments. If liquid scintillation counting (LSC) is used as detection method the radon has to be transferred from the water sample into a scintillation cocktail. Whereas the volume of the cocktail is generally given by the size of standard LSC vials (20 ml) the water sample volume is not specified. Aim of the study was an optimization of the water sample volume, i.e. its minimization without risking a significant decrease in LSC count-rate and hence in counting statistics. An equation is introduced, which allows calculating the ²²²Rn concentration that was initially present in a water sample as function of the volumes of water sample, sample flask headspace and scintillation cocktail, the applicable radon partition coefficient, and the detected count-rate value. It was shown that water sample volumes exceeding about 900 ml do not result in a significant increase in count-rate and hence counting statistics. On the other hand, sample volumes that are considerably smaller than about 500 ml lead to noticeably lower count-rates (and poorer counting statistics). Thus water sample volumes of about 500–900 ml should be chosen for LSC radon-in-water detection, if 20 ml vials are applied.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Radon is used as environmental tracer in a wide range of applications particularly in aquatic environments. If liquid scintillation counting (LSC) is used as detection method the radon has to be transferred from the water sample into a scintillation cocktail. Whereas the volume of the cocktail is generally given by the size of standard LSC vials (20 ml) the water sample volume is not specified. Aim of the study was an optimization of the water sample volume, i.e. its minimization without risking a significant decrease in LSC count-rate and hence in counting statistics. An equation is introduced, which allows calculating the ²²²Rn concentration that was initially present in a water sample as function of the volumes of water sample, sample flask headspace and scintillation cocktail, the applicable radon partition coefficient, and the detected count-rate value. It was shown that water sample volumes exceeding about 900 ml do not result in a significant increase in count-rate and hence counting statistics. On the other hand, sample volumes that are considerably smaller than about 500 ml lead to noticeably lower count-rates (and poorer counting statistics). Thus water sample volumes of about 500–900 ml should be chosen for LSC radon-in-water detection, if 20 ml vials are applied.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Radon as aquatic tracer</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">LSC</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Sample volume optimization</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Kopitz, Juergen</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Chałupnik, Stanisław</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="n">Elsevier</subfield><subfield code="a">Khcharem, Amir ELSEVIER</subfield><subfield code="t">Acute caffeine ingestion improves 3-km run performance, cognitive function, and psychological state of young recreational runners</subfield><subfield code="d">2021</subfield><subfield code="g">New York, NY [u.a.]</subfield><subfield code="w">(DE-627)ELV006295479</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:134</subfield><subfield code="g">year:2014</subfield><subfield code="g">pages:109-113</subfield><subfield code="g">extent:5</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.jenvrad.2014.03.005</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ELV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">FID-PHARM</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-PHA</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OPC-PHA</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">44.00</subfield><subfield code="j">Medizin: Allgemeines</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">44.38</subfield><subfield code="j">Pharmakologie</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">42.66</subfield><subfield code="j">Ethologie</subfield><subfield code="x">Biologie</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">44.40</subfield><subfield code="j">Pharmazie</subfield><subfield code="j">Pharmazeutika</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">134</subfield><subfield code="j">2014</subfield><subfield code="h">109-113</subfield><subfield code="g">5</subfield></datafield><datafield tag="953" ind1=" " ind2=" "><subfield code="2">045F</subfield><subfield code="a">690</subfield></datafield></record></collection>
|
author |
Schubert, Michael |
spellingShingle |
Schubert, Michael ddc 690 ddc 540 ssgn 15,3 fid PHARM bkl 44.00 bkl 44.38 bkl 42.66 bkl 44.40 Elsevier Radon as aquatic tracer Elsevier LSC Elsevier Sample volume optimization Sample volume optimization for radon-in-water detection by liquid scintillation counting |
authorStr |
Schubert, Michael |
ppnlink_with_tag_str_mv |
@@773@@(DE-627)ELV006295479 |
format |
electronic Article |
dewey-ones |
690 - Buildings 540 - Chemistry & allied sciences |
delete_txt_mv |
keep |
author_role |
aut |
collection |
elsevier |
remote_str |
true |
illustrated |
Not Illustrated |
topic_title |
690 540 690 DE-600 540 DE-600 540 VZ 15,3 ssgn PHARM DE-84 fid 44.00 bkl 44.38 bkl 42.66 bkl 44.40 bkl Sample volume optimization for radon-in-water detection by liquid scintillation counting Radon as aquatic tracer Elsevier LSC Elsevier Sample volume optimization Elsevier |
topic |
ddc 690 ddc 540 ssgn 15,3 fid PHARM bkl 44.00 bkl 44.38 bkl 42.66 bkl 44.40 Elsevier Radon as aquatic tracer Elsevier LSC Elsevier Sample volume optimization |
topic_unstemmed |
ddc 690 ddc 540 ssgn 15,3 fid PHARM bkl 44.00 bkl 44.38 bkl 42.66 bkl 44.40 Elsevier Radon as aquatic tracer Elsevier LSC Elsevier Sample volume optimization |
topic_browse |
ddc 690 ddc 540 ssgn 15,3 fid PHARM bkl 44.00 bkl 44.38 bkl 42.66 bkl 44.40 Elsevier Radon as aquatic tracer Elsevier LSC Elsevier Sample volume optimization |
format_facet |
Elektronische Aufsätze Aufsätze Elektronische Ressource |
format_main_str_mv |
Text Zeitschrift/Artikel |
carriertype_str_mv |
zu |
author2_variant |
j k jk s c sc |
hierarchy_parent_title |
Acute caffeine ingestion improves 3-km run performance, cognitive function, and psychological state of young recreational runners |
hierarchy_parent_id |
ELV006295479 |
dewey-tens |
690 - Building & construction 540 - Chemistry |
hierarchy_top_title |
Acute caffeine ingestion improves 3-km run performance, cognitive function, and psychological state of young recreational runners |
isfreeaccess_txt |
false |
familylinks_str_mv |
(DE-627)ELV006295479 |
title |
Sample volume optimization for radon-in-water detection by liquid scintillation counting |
ctrlnum |
(DE-627)ELV033804559 (ELSEVIER)S0265-931X(14)00084-8 |
title_full |
Sample volume optimization for radon-in-water detection by liquid scintillation counting |
author_sort |
Schubert, Michael |
journal |
Acute caffeine ingestion improves 3-km run performance, cognitive function, and psychological state of young recreational runners |
journalStr |
Acute caffeine ingestion improves 3-km run performance, cognitive function, and psychological state of young recreational runners |
lang_code |
eng |
isOA_bool |
false |
dewey-hundreds |
600 - Technology 500 - Science |
recordtype |
marc |
publishDateSort |
2014 |
contenttype_str_mv |
zzz |
container_start_page |
109 |
author_browse |
Schubert, Michael |
container_volume |
134 |
physical |
5 |
class |
690 540 690 DE-600 540 DE-600 540 VZ 15,3 ssgn PHARM DE-84 fid 44.00 bkl 44.38 bkl 42.66 bkl 44.40 bkl |
format_se |
Elektronische Aufsätze |
author-letter |
Schubert, Michael |
doi_str_mv |
10.1016/j.jenvrad.2014.03.005 |
dewey-full |
690 540 |
title_sort |
sample volume optimization for radon-in-water detection by liquid scintillation counting |
title_auth |
Sample volume optimization for radon-in-water detection by liquid scintillation counting |
abstract |
Radon is used as environmental tracer in a wide range of applications particularly in aquatic environments. If liquid scintillation counting (LSC) is used as detection method the radon has to be transferred from the water sample into a scintillation cocktail. Whereas the volume of the cocktail is generally given by the size of standard LSC vials (20 ml) the water sample volume is not specified. Aim of the study was an optimization of the water sample volume, i.e. its minimization without risking a significant decrease in LSC count-rate and hence in counting statistics. An equation is introduced, which allows calculating the ²²²Rn concentration that was initially present in a water sample as function of the volumes of water sample, sample flask headspace and scintillation cocktail, the applicable radon partition coefficient, and the detected count-rate value. It was shown that water sample volumes exceeding about 900 ml do not result in a significant increase in count-rate and hence counting statistics. On the other hand, sample volumes that are considerably smaller than about 500 ml lead to noticeably lower count-rates (and poorer counting statistics). Thus water sample volumes of about 500–900 ml should be chosen for LSC radon-in-water detection, if 20 ml vials are applied. |
abstractGer |
Radon is used as environmental tracer in a wide range of applications particularly in aquatic environments. If liquid scintillation counting (LSC) is used as detection method the radon has to be transferred from the water sample into a scintillation cocktail. Whereas the volume of the cocktail is generally given by the size of standard LSC vials (20 ml) the water sample volume is not specified. Aim of the study was an optimization of the water sample volume, i.e. its minimization without risking a significant decrease in LSC count-rate and hence in counting statistics. An equation is introduced, which allows calculating the ²²²Rn concentration that was initially present in a water sample as function of the volumes of water sample, sample flask headspace and scintillation cocktail, the applicable radon partition coefficient, and the detected count-rate value. It was shown that water sample volumes exceeding about 900 ml do not result in a significant increase in count-rate and hence counting statistics. On the other hand, sample volumes that are considerably smaller than about 500 ml lead to noticeably lower count-rates (and poorer counting statistics). Thus water sample volumes of about 500–900 ml should be chosen for LSC radon-in-water detection, if 20 ml vials are applied. |
abstract_unstemmed |
Radon is used as environmental tracer in a wide range of applications particularly in aquatic environments. If liquid scintillation counting (LSC) is used as detection method the radon has to be transferred from the water sample into a scintillation cocktail. Whereas the volume of the cocktail is generally given by the size of standard LSC vials (20 ml) the water sample volume is not specified. Aim of the study was an optimization of the water sample volume, i.e. its minimization without risking a significant decrease in LSC count-rate and hence in counting statistics. An equation is introduced, which allows calculating the ²²²Rn concentration that was initially present in a water sample as function of the volumes of water sample, sample flask headspace and scintillation cocktail, the applicable radon partition coefficient, and the detected count-rate value. It was shown that water sample volumes exceeding about 900 ml do not result in a significant increase in count-rate and hence counting statistics. On the other hand, sample volumes that are considerably smaller than about 500 ml lead to noticeably lower count-rates (and poorer counting statistics). Thus water sample volumes of about 500–900 ml should be chosen for LSC radon-in-water detection, if 20 ml vials are applied. |
collection_details |
GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-PHARM SSG-OLC-PHA SSG-OPC-PHA |
title_short |
Sample volume optimization for radon-in-water detection by liquid scintillation counting |
url |
https://doi.org/10.1016/j.jenvrad.2014.03.005 |
remote_bool |
true |
author2 |
Kopitz, Juergen Chałupnik, Stanisław |
author2Str |
Kopitz, Juergen Chałupnik, Stanisław |
ppnlink |
ELV006295479 |
mediatype_str_mv |
z |
isOA_txt |
false |
hochschulschrift_bool |
false |
author2_role |
oth oth |
doi_str |
10.1016/j.jenvrad.2014.03.005 |
up_date |
2024-07-06T19:30:39.235Z |
_version_ |
1803859252201127936 |
fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">ELV033804559</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230625195048.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">180603s2014 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.jenvrad.2014.03.005</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">GBVA2014008000007.pica</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV033804559</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S0265-931X(14)00084-8</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">690</subfield><subfield code="a">540</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">690</subfield><subfield code="q">DE-600</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">540</subfield><subfield code="q">DE-600</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">540</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">15,3</subfield><subfield code="2">ssgn</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">PHARM</subfield><subfield code="q">DE-84</subfield><subfield code="2">fid</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">44.00</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">44.38</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">42.66</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">44.40</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Schubert, Michael</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Sample volume optimization for radon-in-water detection by liquid scintillation counting</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2014transfer abstract</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">5</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">z</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zu</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Radon is used as environmental tracer in a wide range of applications particularly in aquatic environments. If liquid scintillation counting (LSC) is used as detection method the radon has to be transferred from the water sample into a scintillation cocktail. Whereas the volume of the cocktail is generally given by the size of standard LSC vials (20 ml) the water sample volume is not specified. Aim of the study was an optimization of the water sample volume, i.e. its minimization without risking a significant decrease in LSC count-rate and hence in counting statistics. An equation is introduced, which allows calculating the ²²²Rn concentration that was initially present in a water sample as function of the volumes of water sample, sample flask headspace and scintillation cocktail, the applicable radon partition coefficient, and the detected count-rate value. It was shown that water sample volumes exceeding about 900 ml do not result in a significant increase in count-rate and hence counting statistics. On the other hand, sample volumes that are considerably smaller than about 500 ml lead to noticeably lower count-rates (and poorer counting statistics). Thus water sample volumes of about 500–900 ml should be chosen for LSC radon-in-water detection, if 20 ml vials are applied.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Radon is used as environmental tracer in a wide range of applications particularly in aquatic environments. If liquid scintillation counting (LSC) is used as detection method the radon has to be transferred from the water sample into a scintillation cocktail. Whereas the volume of the cocktail is generally given by the size of standard LSC vials (20 ml) the water sample volume is not specified. Aim of the study was an optimization of the water sample volume, i.e. its minimization without risking a significant decrease in LSC count-rate and hence in counting statistics. An equation is introduced, which allows calculating the ²²²Rn concentration that was initially present in a water sample as function of the volumes of water sample, sample flask headspace and scintillation cocktail, the applicable radon partition coefficient, and the detected count-rate value. It was shown that water sample volumes exceeding about 900 ml do not result in a significant increase in count-rate and hence counting statistics. On the other hand, sample volumes that are considerably smaller than about 500 ml lead to noticeably lower count-rates (and poorer counting statistics). Thus water sample volumes of about 500–900 ml should be chosen for LSC radon-in-water detection, if 20 ml vials are applied.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Radon as aquatic tracer</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">LSC</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Sample volume optimization</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Kopitz, Juergen</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Chałupnik, Stanisław</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="n">Elsevier</subfield><subfield code="a">Khcharem, Amir ELSEVIER</subfield><subfield code="t">Acute caffeine ingestion improves 3-km run performance, cognitive function, and psychological state of young recreational runners</subfield><subfield code="d">2021</subfield><subfield code="g">New York, NY [u.a.]</subfield><subfield code="w">(DE-627)ELV006295479</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:134</subfield><subfield code="g">year:2014</subfield><subfield code="g">pages:109-113</subfield><subfield code="g">extent:5</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.jenvrad.2014.03.005</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ELV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">FID-PHARM</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-PHA</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OPC-PHA</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">44.00</subfield><subfield code="j">Medizin: Allgemeines</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">44.38</subfield><subfield code="j">Pharmakologie</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">42.66</subfield><subfield code="j">Ethologie</subfield><subfield code="x">Biologie</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">44.40</subfield><subfield code="j">Pharmazie</subfield><subfield code="j">Pharmazeutika</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">134</subfield><subfield code="j">2014</subfield><subfield code="h">109-113</subfield><subfield code="g">5</subfield></datafield><datafield tag="953" ind1=" " ind2=" "><subfield code="2">045F</subfield><subfield code="a">690</subfield></datafield></record></collection>
|
score |
7.400728 |