Source attributions of Cadmium contamination in rice grains by Cadmium isotope composition analysis: A field study
Cd contamination in rice grains has become a topic of great concern because of the high health risks associated with the long-term consumption of Cd-contaminated rice. Identification of Cd sources in rice grains by scientific methods is important for controlling heavy metal pollution and protecting...
Ausführliche Beschreibung
Autor*in: |
Yan, Ying [verfasserIn] |
---|
Format: |
E-Artikel |
---|---|
Sprache: |
Englisch |
Erschienen: |
2021transfer abstract |
---|
Schlagwörter: |
---|
Übergeordnetes Werk: |
Enthalten in: Erysipelas, the “Other” Cellulitis: A Practical Guide for Nurse Practitioners - Fetters, Lisa ELSEVIER, 2021, EES : official journal of the International Society of Ecotoxicology and Environmental safety, Amsterdam |
---|---|
Übergeordnetes Werk: |
volume:210 ; year:2021 ; day:1 ; month:03 ; pages:0 |
Links: |
---|
DOI / URN: |
10.1016/j.ecoenv.2020.111865 |
---|
Katalog-ID: |
ELV052809439 |
---|
LEADER | 01000caa a22002652 4500 | ||
---|---|---|---|
001 | ELV052809439 | ||
003 | DE-627 | ||
005 | 20230626033812.0 | ||
007 | cr uuu---uuuuu | ||
008 | 210910s2021 xx |||||o 00| ||eng c | ||
024 | 7 | |a 10.1016/j.ecoenv.2020.111865 |2 doi | |
028 | 5 | 2 | |a /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001402.pica |
035 | |a (DE-627)ELV052809439 | ||
035 | |a (ELSEVIER)S0147-6513(20)31701-2 | ||
040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
041 | |a eng | ||
082 | 0 | 4 | |a 610 |q VZ |
084 | |a 44.63 |2 bkl | ||
100 | 1 | |a Yan, Ying |e verfasserin |4 aut | |
245 | 1 | 0 | |a Source attributions of Cadmium contamination in rice grains by Cadmium isotope composition analysis: A field study |
264 | 1 | |c 2021transfer abstract | |
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 Cd contamination in rice grains has become a topic of great concern because of the high health risks associated with the long-term consumption of Cd-contaminated rice. Identification of Cd sources in rice grains by scientific methods is important for controlling heavy metal pollution and protecting human health. Here, the Cd concentrations and Cd isotopic compositions of rice plants (root, stem, leaf, and grain) and topsoil, and possible pollution sources (agricultural fertilizers, industrial dust, and automobile exhaust) were analyzed using an instrument of inductively coupled plasma mass spectrometry (ICP-MS) and multi-collector inductively coupled plasma mass spectrometry (MC-ICP-MS). The results showed variations in the Cd isotopes of different components of rice plants and the fractionation coefficient of rice grains relative to topsoil (Δ114/110Cdrice grains−topsoil = 0.25‰). The contributions of pollution sources to rice grains were realized by combining the Cd isotopic composition with an isotopic mixing model (Isosource). The analysis showed that all three possible pollution sources contributed to the Cd in the rice grains in the field, the average Cd contribution of industrial dust, agricultural fertilizers and automobile exhaust was 87%, 9%, and 4%, respectively. Our study provides a feasible method for the identification of pollution sources of Cd in rice grains at the field scale and demonstrates that Cd isotopic composition is one of the powerful tools to trace the pollution sources of Cd in crops. | ||
520 | |a Cd contamination in rice grains has become a topic of great concern because of the high health risks associated with the long-term consumption of Cd-contaminated rice. Identification of Cd sources in rice grains by scientific methods is important for controlling heavy metal pollution and protecting human health. Here, the Cd concentrations and Cd isotopic compositions of rice plants (root, stem, leaf, and grain) and topsoil, and possible pollution sources (agricultural fertilizers, industrial dust, and automobile exhaust) were analyzed using an instrument of inductively coupled plasma mass spectrometry (ICP-MS) and multi-collector inductively coupled plasma mass spectrometry (MC-ICP-MS). The results showed variations in the Cd isotopes of different components of rice plants and the fractionation coefficient of rice grains relative to topsoil (Δ114/110Cdrice grains−topsoil = 0.25‰). The contributions of pollution sources to rice grains were realized by combining the Cd isotopic composition with an isotopic mixing model (Isosource). The analysis showed that all three possible pollution sources contributed to the Cd in the rice grains in the field, the average Cd contribution of industrial dust, agricultural fertilizers and automobile exhaust was 87%, 9%, and 4%, respectively. Our study provides a feasible method for the identification of pollution sources of Cd in rice grains at the field scale and demonstrates that Cd isotopic composition is one of the powerful tools to trace the pollution sources of Cd in crops. | ||
650 | 7 | |a Source attributions |2 Elsevier | |
650 | 7 | |a Rice grains |2 Elsevier | |
650 | 7 | |a Fractionation |2 Elsevier | |
650 | 7 | |a Cd isotopic composition |2 Elsevier | |
650 | 7 | |a Isotopic mixing model |2 Elsevier | |
700 | 1 | |a Sun, Qianqian |4 oth | |
700 | 1 | |a Yang, Jingjie |4 oth | |
700 | 1 | |a Zhang, Xiaowen |4 oth | |
700 | 1 | |a Guo, Boli |4 oth | |
773 | 0 | 8 | |i Enthalten in |n Elsevier |a Fetters, Lisa ELSEVIER |t Erysipelas, the “Other” Cellulitis: A Practical Guide for Nurse Practitioners |d 2021 |d EES : official journal of the International Society of Ecotoxicology and Environmental safety |g Amsterdam |w (DE-627)ELV006765629 |
773 | 1 | 8 | |g volume:210 |g year:2021 |g day:1 |g month:03 |g pages:0 |
856 | 4 | 0 | |u https://doi.org/10.1016/j.ecoenv.2020.111865 |3 Volltext |
912 | |a GBV_USEFLAG_U | ||
912 | |a GBV_ELV | ||
912 | |a SYSFLAG_U | ||
936 | b | k | |a 44.63 |j Krankenpflege |q VZ |
951 | |a AR | ||
952 | |d 210 |j 2021 |b 1 |c 0301 |h 0 |
author_variant |
y y yy |
---|---|
matchkey_str |
yanyingsunqianqianyangjingjiezhangxiaowe:2021----:oretrbtosfamucnaiainnierisyamuiooeop |
hierarchy_sort_str |
2021transfer abstract |
bklnumber |
44.63 |
publishDate |
2021 |
allfields |
10.1016/j.ecoenv.2020.111865 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001402.pica (DE-627)ELV052809439 (ELSEVIER)S0147-6513(20)31701-2 DE-627 ger DE-627 rakwb eng 610 VZ 44.63 bkl Yan, Ying verfasserin aut Source attributions of Cadmium contamination in rice grains by Cadmium isotope composition analysis: A field study 2021transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Cd contamination in rice grains has become a topic of great concern because of the high health risks associated with the long-term consumption of Cd-contaminated rice. Identification of Cd sources in rice grains by scientific methods is important for controlling heavy metal pollution and protecting human health. Here, the Cd concentrations and Cd isotopic compositions of rice plants (root, stem, leaf, and grain) and topsoil, and possible pollution sources (agricultural fertilizers, industrial dust, and automobile exhaust) were analyzed using an instrument of inductively coupled plasma mass spectrometry (ICP-MS) and multi-collector inductively coupled plasma mass spectrometry (MC-ICP-MS). The results showed variations in the Cd isotopes of different components of rice plants and the fractionation coefficient of rice grains relative to topsoil (Δ114/110Cdrice grains−topsoil = 0.25‰). The contributions of pollution sources to rice grains were realized by combining the Cd isotopic composition with an isotopic mixing model (Isosource). The analysis showed that all three possible pollution sources contributed to the Cd in the rice grains in the field, the average Cd contribution of industrial dust, agricultural fertilizers and automobile exhaust was 87%, 9%, and 4%, respectively. Our study provides a feasible method for the identification of pollution sources of Cd in rice grains at the field scale and demonstrates that Cd isotopic composition is one of the powerful tools to trace the pollution sources of Cd in crops. Cd contamination in rice grains has become a topic of great concern because of the high health risks associated with the long-term consumption of Cd-contaminated rice. Identification of Cd sources in rice grains by scientific methods is important for controlling heavy metal pollution and protecting human health. Here, the Cd concentrations and Cd isotopic compositions of rice plants (root, stem, leaf, and grain) and topsoil, and possible pollution sources (agricultural fertilizers, industrial dust, and automobile exhaust) were analyzed using an instrument of inductively coupled plasma mass spectrometry (ICP-MS) and multi-collector inductively coupled plasma mass spectrometry (MC-ICP-MS). The results showed variations in the Cd isotopes of different components of rice plants and the fractionation coefficient of rice grains relative to topsoil (Δ114/110Cdrice grains−topsoil = 0.25‰). The contributions of pollution sources to rice grains were realized by combining the Cd isotopic composition with an isotopic mixing model (Isosource). The analysis showed that all three possible pollution sources contributed to the Cd in the rice grains in the field, the average Cd contribution of industrial dust, agricultural fertilizers and automobile exhaust was 87%, 9%, and 4%, respectively. Our study provides a feasible method for the identification of pollution sources of Cd in rice grains at the field scale and demonstrates that Cd isotopic composition is one of the powerful tools to trace the pollution sources of Cd in crops. Source attributions Elsevier Rice grains Elsevier Fractionation Elsevier Cd isotopic composition Elsevier Isotopic mixing model Elsevier Sun, Qianqian oth Yang, Jingjie oth Zhang, Xiaowen oth Guo, Boli oth Enthalten in Elsevier Fetters, Lisa ELSEVIER Erysipelas, the “Other” Cellulitis: A Practical Guide for Nurse Practitioners 2021 EES : official journal of the International Society of Ecotoxicology and Environmental safety Amsterdam (DE-627)ELV006765629 volume:210 year:2021 day:1 month:03 pages:0 https://doi.org/10.1016/j.ecoenv.2020.111865 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 44.63 Krankenpflege VZ AR 210 2021 1 0301 0 |
spelling |
10.1016/j.ecoenv.2020.111865 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001402.pica (DE-627)ELV052809439 (ELSEVIER)S0147-6513(20)31701-2 DE-627 ger DE-627 rakwb eng 610 VZ 44.63 bkl Yan, Ying verfasserin aut Source attributions of Cadmium contamination in rice grains by Cadmium isotope composition analysis: A field study 2021transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Cd contamination in rice grains has become a topic of great concern because of the high health risks associated with the long-term consumption of Cd-contaminated rice. Identification of Cd sources in rice grains by scientific methods is important for controlling heavy metal pollution and protecting human health. Here, the Cd concentrations and Cd isotopic compositions of rice plants (root, stem, leaf, and grain) and topsoil, and possible pollution sources (agricultural fertilizers, industrial dust, and automobile exhaust) were analyzed using an instrument of inductively coupled plasma mass spectrometry (ICP-MS) and multi-collector inductively coupled plasma mass spectrometry (MC-ICP-MS). The results showed variations in the Cd isotopes of different components of rice plants and the fractionation coefficient of rice grains relative to topsoil (Δ114/110Cdrice grains−topsoil = 0.25‰). The contributions of pollution sources to rice grains were realized by combining the Cd isotopic composition with an isotopic mixing model (Isosource). The analysis showed that all three possible pollution sources contributed to the Cd in the rice grains in the field, the average Cd contribution of industrial dust, agricultural fertilizers and automobile exhaust was 87%, 9%, and 4%, respectively. Our study provides a feasible method for the identification of pollution sources of Cd in rice grains at the field scale and demonstrates that Cd isotopic composition is one of the powerful tools to trace the pollution sources of Cd in crops. Cd contamination in rice grains has become a topic of great concern because of the high health risks associated with the long-term consumption of Cd-contaminated rice. Identification of Cd sources in rice grains by scientific methods is important for controlling heavy metal pollution and protecting human health. Here, the Cd concentrations and Cd isotopic compositions of rice plants (root, stem, leaf, and grain) and topsoil, and possible pollution sources (agricultural fertilizers, industrial dust, and automobile exhaust) were analyzed using an instrument of inductively coupled plasma mass spectrometry (ICP-MS) and multi-collector inductively coupled plasma mass spectrometry (MC-ICP-MS). The results showed variations in the Cd isotopes of different components of rice plants and the fractionation coefficient of rice grains relative to topsoil (Δ114/110Cdrice grains−topsoil = 0.25‰). The contributions of pollution sources to rice grains were realized by combining the Cd isotopic composition with an isotopic mixing model (Isosource). The analysis showed that all three possible pollution sources contributed to the Cd in the rice grains in the field, the average Cd contribution of industrial dust, agricultural fertilizers and automobile exhaust was 87%, 9%, and 4%, respectively. Our study provides a feasible method for the identification of pollution sources of Cd in rice grains at the field scale and demonstrates that Cd isotopic composition is one of the powerful tools to trace the pollution sources of Cd in crops. Source attributions Elsevier Rice grains Elsevier Fractionation Elsevier Cd isotopic composition Elsevier Isotopic mixing model Elsevier Sun, Qianqian oth Yang, Jingjie oth Zhang, Xiaowen oth Guo, Boli oth Enthalten in Elsevier Fetters, Lisa ELSEVIER Erysipelas, the “Other” Cellulitis: A Practical Guide for Nurse Practitioners 2021 EES : official journal of the International Society of Ecotoxicology and Environmental safety Amsterdam (DE-627)ELV006765629 volume:210 year:2021 day:1 month:03 pages:0 https://doi.org/10.1016/j.ecoenv.2020.111865 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 44.63 Krankenpflege VZ AR 210 2021 1 0301 0 |
allfields_unstemmed |
10.1016/j.ecoenv.2020.111865 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001402.pica (DE-627)ELV052809439 (ELSEVIER)S0147-6513(20)31701-2 DE-627 ger DE-627 rakwb eng 610 VZ 44.63 bkl Yan, Ying verfasserin aut Source attributions of Cadmium contamination in rice grains by Cadmium isotope composition analysis: A field study 2021transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Cd contamination in rice grains has become a topic of great concern because of the high health risks associated with the long-term consumption of Cd-contaminated rice. Identification of Cd sources in rice grains by scientific methods is important for controlling heavy metal pollution and protecting human health. Here, the Cd concentrations and Cd isotopic compositions of rice plants (root, stem, leaf, and grain) and topsoil, and possible pollution sources (agricultural fertilizers, industrial dust, and automobile exhaust) were analyzed using an instrument of inductively coupled plasma mass spectrometry (ICP-MS) and multi-collector inductively coupled plasma mass spectrometry (MC-ICP-MS). The results showed variations in the Cd isotopes of different components of rice plants and the fractionation coefficient of rice grains relative to topsoil (Δ114/110Cdrice grains−topsoil = 0.25‰). The contributions of pollution sources to rice grains were realized by combining the Cd isotopic composition with an isotopic mixing model (Isosource). The analysis showed that all three possible pollution sources contributed to the Cd in the rice grains in the field, the average Cd contribution of industrial dust, agricultural fertilizers and automobile exhaust was 87%, 9%, and 4%, respectively. Our study provides a feasible method for the identification of pollution sources of Cd in rice grains at the field scale and demonstrates that Cd isotopic composition is one of the powerful tools to trace the pollution sources of Cd in crops. Cd contamination in rice grains has become a topic of great concern because of the high health risks associated with the long-term consumption of Cd-contaminated rice. Identification of Cd sources in rice grains by scientific methods is important for controlling heavy metal pollution and protecting human health. Here, the Cd concentrations and Cd isotopic compositions of rice plants (root, stem, leaf, and grain) and topsoil, and possible pollution sources (agricultural fertilizers, industrial dust, and automobile exhaust) were analyzed using an instrument of inductively coupled plasma mass spectrometry (ICP-MS) and multi-collector inductively coupled plasma mass spectrometry (MC-ICP-MS). The results showed variations in the Cd isotopes of different components of rice plants and the fractionation coefficient of rice grains relative to topsoil (Δ114/110Cdrice grains−topsoil = 0.25‰). The contributions of pollution sources to rice grains were realized by combining the Cd isotopic composition with an isotopic mixing model (Isosource). The analysis showed that all three possible pollution sources contributed to the Cd in the rice grains in the field, the average Cd contribution of industrial dust, agricultural fertilizers and automobile exhaust was 87%, 9%, and 4%, respectively. Our study provides a feasible method for the identification of pollution sources of Cd in rice grains at the field scale and demonstrates that Cd isotopic composition is one of the powerful tools to trace the pollution sources of Cd in crops. Source attributions Elsevier Rice grains Elsevier Fractionation Elsevier Cd isotopic composition Elsevier Isotopic mixing model Elsevier Sun, Qianqian oth Yang, Jingjie oth Zhang, Xiaowen oth Guo, Boli oth Enthalten in Elsevier Fetters, Lisa ELSEVIER Erysipelas, the “Other” Cellulitis: A Practical Guide for Nurse Practitioners 2021 EES : official journal of the International Society of Ecotoxicology and Environmental safety Amsterdam (DE-627)ELV006765629 volume:210 year:2021 day:1 month:03 pages:0 https://doi.org/10.1016/j.ecoenv.2020.111865 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 44.63 Krankenpflege VZ AR 210 2021 1 0301 0 |
allfieldsGer |
10.1016/j.ecoenv.2020.111865 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001402.pica (DE-627)ELV052809439 (ELSEVIER)S0147-6513(20)31701-2 DE-627 ger DE-627 rakwb eng 610 VZ 44.63 bkl Yan, Ying verfasserin aut Source attributions of Cadmium contamination in rice grains by Cadmium isotope composition analysis: A field study 2021transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Cd contamination in rice grains has become a topic of great concern because of the high health risks associated with the long-term consumption of Cd-contaminated rice. Identification of Cd sources in rice grains by scientific methods is important for controlling heavy metal pollution and protecting human health. Here, the Cd concentrations and Cd isotopic compositions of rice plants (root, stem, leaf, and grain) and topsoil, and possible pollution sources (agricultural fertilizers, industrial dust, and automobile exhaust) were analyzed using an instrument of inductively coupled plasma mass spectrometry (ICP-MS) and multi-collector inductively coupled plasma mass spectrometry (MC-ICP-MS). The results showed variations in the Cd isotopes of different components of rice plants and the fractionation coefficient of rice grains relative to topsoil (Δ114/110Cdrice grains−topsoil = 0.25‰). The contributions of pollution sources to rice grains were realized by combining the Cd isotopic composition with an isotopic mixing model (Isosource). The analysis showed that all three possible pollution sources contributed to the Cd in the rice grains in the field, the average Cd contribution of industrial dust, agricultural fertilizers and automobile exhaust was 87%, 9%, and 4%, respectively. Our study provides a feasible method for the identification of pollution sources of Cd in rice grains at the field scale and demonstrates that Cd isotopic composition is one of the powerful tools to trace the pollution sources of Cd in crops. Cd contamination in rice grains has become a topic of great concern because of the high health risks associated with the long-term consumption of Cd-contaminated rice. Identification of Cd sources in rice grains by scientific methods is important for controlling heavy metal pollution and protecting human health. Here, the Cd concentrations and Cd isotopic compositions of rice plants (root, stem, leaf, and grain) and topsoil, and possible pollution sources (agricultural fertilizers, industrial dust, and automobile exhaust) were analyzed using an instrument of inductively coupled plasma mass spectrometry (ICP-MS) and multi-collector inductively coupled plasma mass spectrometry (MC-ICP-MS). The results showed variations in the Cd isotopes of different components of rice plants and the fractionation coefficient of rice grains relative to topsoil (Δ114/110Cdrice grains−topsoil = 0.25‰). The contributions of pollution sources to rice grains were realized by combining the Cd isotopic composition with an isotopic mixing model (Isosource). The analysis showed that all three possible pollution sources contributed to the Cd in the rice grains in the field, the average Cd contribution of industrial dust, agricultural fertilizers and automobile exhaust was 87%, 9%, and 4%, respectively. Our study provides a feasible method for the identification of pollution sources of Cd in rice grains at the field scale and demonstrates that Cd isotopic composition is one of the powerful tools to trace the pollution sources of Cd in crops. Source attributions Elsevier Rice grains Elsevier Fractionation Elsevier Cd isotopic composition Elsevier Isotopic mixing model Elsevier Sun, Qianqian oth Yang, Jingjie oth Zhang, Xiaowen oth Guo, Boli oth Enthalten in Elsevier Fetters, Lisa ELSEVIER Erysipelas, the “Other” Cellulitis: A Practical Guide for Nurse Practitioners 2021 EES : official journal of the International Society of Ecotoxicology and Environmental safety Amsterdam (DE-627)ELV006765629 volume:210 year:2021 day:1 month:03 pages:0 https://doi.org/10.1016/j.ecoenv.2020.111865 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 44.63 Krankenpflege VZ AR 210 2021 1 0301 0 |
allfieldsSound |
10.1016/j.ecoenv.2020.111865 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001402.pica (DE-627)ELV052809439 (ELSEVIER)S0147-6513(20)31701-2 DE-627 ger DE-627 rakwb eng 610 VZ 44.63 bkl Yan, Ying verfasserin aut Source attributions of Cadmium contamination in rice grains by Cadmium isotope composition analysis: A field study 2021transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Cd contamination in rice grains has become a topic of great concern because of the high health risks associated with the long-term consumption of Cd-contaminated rice. Identification of Cd sources in rice grains by scientific methods is important for controlling heavy metal pollution and protecting human health. Here, the Cd concentrations and Cd isotopic compositions of rice plants (root, stem, leaf, and grain) and topsoil, and possible pollution sources (agricultural fertilizers, industrial dust, and automobile exhaust) were analyzed using an instrument of inductively coupled plasma mass spectrometry (ICP-MS) and multi-collector inductively coupled plasma mass spectrometry (MC-ICP-MS). The results showed variations in the Cd isotopes of different components of rice plants and the fractionation coefficient of rice grains relative to topsoil (Δ114/110Cdrice grains−topsoil = 0.25‰). The contributions of pollution sources to rice grains were realized by combining the Cd isotopic composition with an isotopic mixing model (Isosource). The analysis showed that all three possible pollution sources contributed to the Cd in the rice grains in the field, the average Cd contribution of industrial dust, agricultural fertilizers and automobile exhaust was 87%, 9%, and 4%, respectively. Our study provides a feasible method for the identification of pollution sources of Cd in rice grains at the field scale and demonstrates that Cd isotopic composition is one of the powerful tools to trace the pollution sources of Cd in crops. Cd contamination in rice grains has become a topic of great concern because of the high health risks associated with the long-term consumption of Cd-contaminated rice. Identification of Cd sources in rice grains by scientific methods is important for controlling heavy metal pollution and protecting human health. Here, the Cd concentrations and Cd isotopic compositions of rice plants (root, stem, leaf, and grain) and topsoil, and possible pollution sources (agricultural fertilizers, industrial dust, and automobile exhaust) were analyzed using an instrument of inductively coupled plasma mass spectrometry (ICP-MS) and multi-collector inductively coupled plasma mass spectrometry (MC-ICP-MS). The results showed variations in the Cd isotopes of different components of rice plants and the fractionation coefficient of rice grains relative to topsoil (Δ114/110Cdrice grains−topsoil = 0.25‰). The contributions of pollution sources to rice grains were realized by combining the Cd isotopic composition with an isotopic mixing model (Isosource). The analysis showed that all three possible pollution sources contributed to the Cd in the rice grains in the field, the average Cd contribution of industrial dust, agricultural fertilizers and automobile exhaust was 87%, 9%, and 4%, respectively. Our study provides a feasible method for the identification of pollution sources of Cd in rice grains at the field scale and demonstrates that Cd isotopic composition is one of the powerful tools to trace the pollution sources of Cd in crops. Source attributions Elsevier Rice grains Elsevier Fractionation Elsevier Cd isotopic composition Elsevier Isotopic mixing model Elsevier Sun, Qianqian oth Yang, Jingjie oth Zhang, Xiaowen oth Guo, Boli oth Enthalten in Elsevier Fetters, Lisa ELSEVIER Erysipelas, the “Other” Cellulitis: A Practical Guide for Nurse Practitioners 2021 EES : official journal of the International Society of Ecotoxicology and Environmental safety Amsterdam (DE-627)ELV006765629 volume:210 year:2021 day:1 month:03 pages:0 https://doi.org/10.1016/j.ecoenv.2020.111865 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 44.63 Krankenpflege VZ AR 210 2021 1 0301 0 |
language |
English |
source |
Enthalten in Erysipelas, the “Other” Cellulitis: A Practical Guide for Nurse Practitioners Amsterdam volume:210 year:2021 day:1 month:03 pages:0 |
sourceStr |
Enthalten in Erysipelas, the “Other” Cellulitis: A Practical Guide for Nurse Practitioners Amsterdam volume:210 year:2021 day:1 month:03 pages:0 |
format_phy_str_mv |
Article |
bklname |
Krankenpflege |
institution |
findex.gbv.de |
topic_facet |
Source attributions Rice grains Fractionation Cd isotopic composition Isotopic mixing model |
dewey-raw |
610 |
isfreeaccess_bool |
false |
container_title |
Erysipelas, the “Other” Cellulitis: A Practical Guide for Nurse Practitioners |
authorswithroles_txt_mv |
Yan, Ying @@aut@@ Sun, Qianqian @@oth@@ Yang, Jingjie @@oth@@ Zhang, Xiaowen @@oth@@ Guo, Boli @@oth@@ |
publishDateDaySort_date |
2021-01-01T00:00:00Z |
hierarchy_top_id |
ELV006765629 |
dewey-sort |
3610 |
id |
ELV052809439 |
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">ELV052809439</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230626033812.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">210910s2021 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.ecoenv.2020.111865</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">/cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001402.pica</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV052809439</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S0147-6513(20)31701-2</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="4"><subfield code="a">610</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">44.63</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Yan, Ying</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Source attributions of Cadmium contamination in rice grains by Cadmium isotope composition analysis: A field study</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2021transfer abstract</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">Cd contamination in rice grains has become a topic of great concern because of the high health risks associated with the long-term consumption of Cd-contaminated rice. Identification of Cd sources in rice grains by scientific methods is important for controlling heavy metal pollution and protecting human health. Here, the Cd concentrations and Cd isotopic compositions of rice plants (root, stem, leaf, and grain) and topsoil, and possible pollution sources (agricultural fertilizers, industrial dust, and automobile exhaust) were analyzed using an instrument of inductively coupled plasma mass spectrometry (ICP-MS) and multi-collector inductively coupled plasma mass spectrometry (MC-ICP-MS). The results showed variations in the Cd isotopes of different components of rice plants and the fractionation coefficient of rice grains relative to topsoil (Δ114/110Cdrice grains−topsoil = 0.25‰). The contributions of pollution sources to rice grains were realized by combining the Cd isotopic composition with an isotopic mixing model (Isosource). The analysis showed that all three possible pollution sources contributed to the Cd in the rice grains in the field, the average Cd contribution of industrial dust, agricultural fertilizers and automobile exhaust was 87%, 9%, and 4%, respectively. Our study provides a feasible method for the identification of pollution sources of Cd in rice grains at the field scale and demonstrates that Cd isotopic composition is one of the powerful tools to trace the pollution sources of Cd in crops.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Cd contamination in rice grains has become a topic of great concern because of the high health risks associated with the long-term consumption of Cd-contaminated rice. Identification of Cd sources in rice grains by scientific methods is important for controlling heavy metal pollution and protecting human health. Here, the Cd concentrations and Cd isotopic compositions of rice plants (root, stem, leaf, and grain) and topsoil, and possible pollution sources (agricultural fertilizers, industrial dust, and automobile exhaust) were analyzed using an instrument of inductively coupled plasma mass spectrometry (ICP-MS) and multi-collector inductively coupled plasma mass spectrometry (MC-ICP-MS). The results showed variations in the Cd isotopes of different components of rice plants and the fractionation coefficient of rice grains relative to topsoil (Δ114/110Cdrice grains−topsoil = 0.25‰). The contributions of pollution sources to rice grains were realized by combining the Cd isotopic composition with an isotopic mixing model (Isosource). The analysis showed that all three possible pollution sources contributed to the Cd in the rice grains in the field, the average Cd contribution of industrial dust, agricultural fertilizers and automobile exhaust was 87%, 9%, and 4%, respectively. Our study provides a feasible method for the identification of pollution sources of Cd in rice grains at the field scale and demonstrates that Cd isotopic composition is one of the powerful tools to trace the pollution sources of Cd in crops.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Source attributions</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Rice grains</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Fractionation</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Cd isotopic composition</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Isotopic mixing model</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Sun, Qianqian</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Yang, Jingjie</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Zhang, Xiaowen</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Guo, Boli</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">Fetters, Lisa ELSEVIER</subfield><subfield code="t">Erysipelas, the “Other” Cellulitis: A Practical Guide for Nurse Practitioners</subfield><subfield code="d">2021</subfield><subfield code="d">EES : official journal of the International Society of Ecotoxicology and Environmental safety</subfield><subfield code="g">Amsterdam</subfield><subfield code="w">(DE-627)ELV006765629</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:210</subfield><subfield code="g">year:2021</subfield><subfield code="g">day:1</subfield><subfield code="g">month:03</subfield><subfield code="g">pages:0</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.ecoenv.2020.111865</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="936" ind1="b" ind2="k"><subfield code="a">44.63</subfield><subfield code="j">Krankenpflege</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">210</subfield><subfield code="j">2021</subfield><subfield code="b">1</subfield><subfield code="c">0301</subfield><subfield code="h">0</subfield></datafield></record></collection>
|
author |
Yan, Ying |
spellingShingle |
Yan, Ying ddc 610 bkl 44.63 Elsevier Source attributions Elsevier Rice grains Elsevier Fractionation Elsevier Cd isotopic composition Elsevier Isotopic mixing model Source attributions of Cadmium contamination in rice grains by Cadmium isotope composition analysis: A field study |
authorStr |
Yan, Ying |
ppnlink_with_tag_str_mv |
@@773@@(DE-627)ELV006765629 |
format |
electronic Article |
dewey-ones |
610 - Medicine & health |
delete_txt_mv |
keep |
author_role |
aut |
collection |
elsevier |
remote_str |
true |
illustrated |
Not Illustrated |
topic_title |
610 VZ 44.63 bkl Source attributions of Cadmium contamination in rice grains by Cadmium isotope composition analysis: A field study Source attributions Elsevier Rice grains Elsevier Fractionation Elsevier Cd isotopic composition Elsevier Isotopic mixing model Elsevier |
topic |
ddc 610 bkl 44.63 Elsevier Source attributions Elsevier Rice grains Elsevier Fractionation Elsevier Cd isotopic composition Elsevier Isotopic mixing model |
topic_unstemmed |
ddc 610 bkl 44.63 Elsevier Source attributions Elsevier Rice grains Elsevier Fractionation Elsevier Cd isotopic composition Elsevier Isotopic mixing model |
topic_browse |
ddc 610 bkl 44.63 Elsevier Source attributions Elsevier Rice grains Elsevier Fractionation Elsevier Cd isotopic composition Elsevier Isotopic mixing model |
format_facet |
Elektronische Aufsätze Aufsätze Elektronische Ressource |
format_main_str_mv |
Text Zeitschrift/Artikel |
carriertype_str_mv |
zu |
author2_variant |
q s qs j y jy x z xz b g bg |
hierarchy_parent_title |
Erysipelas, the “Other” Cellulitis: A Practical Guide for Nurse Practitioners |
hierarchy_parent_id |
ELV006765629 |
dewey-tens |
610 - Medicine & health |
hierarchy_top_title |
Erysipelas, the “Other” Cellulitis: A Practical Guide for Nurse Practitioners |
isfreeaccess_txt |
false |
familylinks_str_mv |
(DE-627)ELV006765629 |
title |
Source attributions of Cadmium contamination in rice grains by Cadmium isotope composition analysis: A field study |
ctrlnum |
(DE-627)ELV052809439 (ELSEVIER)S0147-6513(20)31701-2 |
title_full |
Source attributions of Cadmium contamination in rice grains by Cadmium isotope composition analysis: A field study |
author_sort |
Yan, Ying |
journal |
Erysipelas, the “Other” Cellulitis: A Practical Guide for Nurse Practitioners |
journalStr |
Erysipelas, the “Other” Cellulitis: A Practical Guide for Nurse Practitioners |
lang_code |
eng |
isOA_bool |
false |
dewey-hundreds |
600 - Technology |
recordtype |
marc |
publishDateSort |
2021 |
contenttype_str_mv |
zzz |
container_start_page |
0 |
author_browse |
Yan, Ying |
container_volume |
210 |
class |
610 VZ 44.63 bkl |
format_se |
Elektronische Aufsätze |
author-letter |
Yan, Ying |
doi_str_mv |
10.1016/j.ecoenv.2020.111865 |
dewey-full |
610 |
title_sort |
source attributions of cadmium contamination in rice grains by cadmium isotope composition analysis: a field study |
title_auth |
Source attributions of Cadmium contamination in rice grains by Cadmium isotope composition analysis: A field study |
abstract |
Cd contamination in rice grains has become a topic of great concern because of the high health risks associated with the long-term consumption of Cd-contaminated rice. Identification of Cd sources in rice grains by scientific methods is important for controlling heavy metal pollution and protecting human health. Here, the Cd concentrations and Cd isotopic compositions of rice plants (root, stem, leaf, and grain) and topsoil, and possible pollution sources (agricultural fertilizers, industrial dust, and automobile exhaust) were analyzed using an instrument of inductively coupled plasma mass spectrometry (ICP-MS) and multi-collector inductively coupled plasma mass spectrometry (MC-ICP-MS). The results showed variations in the Cd isotopes of different components of rice plants and the fractionation coefficient of rice grains relative to topsoil (Δ114/110Cdrice grains−topsoil = 0.25‰). The contributions of pollution sources to rice grains were realized by combining the Cd isotopic composition with an isotopic mixing model (Isosource). The analysis showed that all three possible pollution sources contributed to the Cd in the rice grains in the field, the average Cd contribution of industrial dust, agricultural fertilizers and automobile exhaust was 87%, 9%, and 4%, respectively. Our study provides a feasible method for the identification of pollution sources of Cd in rice grains at the field scale and demonstrates that Cd isotopic composition is one of the powerful tools to trace the pollution sources of Cd in crops. |
abstractGer |
Cd contamination in rice grains has become a topic of great concern because of the high health risks associated with the long-term consumption of Cd-contaminated rice. Identification of Cd sources in rice grains by scientific methods is important for controlling heavy metal pollution and protecting human health. Here, the Cd concentrations and Cd isotopic compositions of rice plants (root, stem, leaf, and grain) and topsoil, and possible pollution sources (agricultural fertilizers, industrial dust, and automobile exhaust) were analyzed using an instrument of inductively coupled plasma mass spectrometry (ICP-MS) and multi-collector inductively coupled plasma mass spectrometry (MC-ICP-MS). The results showed variations in the Cd isotopes of different components of rice plants and the fractionation coefficient of rice grains relative to topsoil (Δ114/110Cdrice grains−topsoil = 0.25‰). The contributions of pollution sources to rice grains were realized by combining the Cd isotopic composition with an isotopic mixing model (Isosource). The analysis showed that all three possible pollution sources contributed to the Cd in the rice grains in the field, the average Cd contribution of industrial dust, agricultural fertilizers and automobile exhaust was 87%, 9%, and 4%, respectively. Our study provides a feasible method for the identification of pollution sources of Cd in rice grains at the field scale and demonstrates that Cd isotopic composition is one of the powerful tools to trace the pollution sources of Cd in crops. |
abstract_unstemmed |
Cd contamination in rice grains has become a topic of great concern because of the high health risks associated with the long-term consumption of Cd-contaminated rice. Identification of Cd sources in rice grains by scientific methods is important for controlling heavy metal pollution and protecting human health. Here, the Cd concentrations and Cd isotopic compositions of rice plants (root, stem, leaf, and grain) and topsoil, and possible pollution sources (agricultural fertilizers, industrial dust, and automobile exhaust) were analyzed using an instrument of inductively coupled plasma mass spectrometry (ICP-MS) and multi-collector inductively coupled plasma mass spectrometry (MC-ICP-MS). The results showed variations in the Cd isotopes of different components of rice plants and the fractionation coefficient of rice grains relative to topsoil (Δ114/110Cdrice grains−topsoil = 0.25‰). The contributions of pollution sources to rice grains were realized by combining the Cd isotopic composition with an isotopic mixing model (Isosource). The analysis showed that all three possible pollution sources contributed to the Cd in the rice grains in the field, the average Cd contribution of industrial dust, agricultural fertilizers and automobile exhaust was 87%, 9%, and 4%, respectively. Our study provides a feasible method for the identification of pollution sources of Cd in rice grains at the field scale and demonstrates that Cd isotopic composition is one of the powerful tools to trace the pollution sources of Cd in crops. |
collection_details |
GBV_USEFLAG_U GBV_ELV SYSFLAG_U |
title_short |
Source attributions of Cadmium contamination in rice grains by Cadmium isotope composition analysis: A field study |
url |
https://doi.org/10.1016/j.ecoenv.2020.111865 |
remote_bool |
true |
author2 |
Sun, Qianqian Yang, Jingjie Zhang, Xiaowen Guo, Boli |
author2Str |
Sun, Qianqian Yang, Jingjie Zhang, Xiaowen Guo, Boli |
ppnlink |
ELV006765629 |
mediatype_str_mv |
z |
isOA_txt |
false |
hochschulschrift_bool |
false |
author2_role |
oth oth oth oth |
doi_str |
10.1016/j.ecoenv.2020.111865 |
up_date |
2024-07-06T17:12:57.417Z |
_version_ |
1803850589060202496 |
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">ELV052809439</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230626033812.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">210910s2021 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.ecoenv.2020.111865</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">/cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001402.pica</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV052809439</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S0147-6513(20)31701-2</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="4"><subfield code="a">610</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">44.63</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Yan, Ying</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Source attributions of Cadmium contamination in rice grains by Cadmium isotope composition analysis: A field study</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2021transfer abstract</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">Cd contamination in rice grains has become a topic of great concern because of the high health risks associated with the long-term consumption of Cd-contaminated rice. Identification of Cd sources in rice grains by scientific methods is important for controlling heavy metal pollution and protecting human health. Here, the Cd concentrations and Cd isotopic compositions of rice plants (root, stem, leaf, and grain) and topsoil, and possible pollution sources (agricultural fertilizers, industrial dust, and automobile exhaust) were analyzed using an instrument of inductively coupled plasma mass spectrometry (ICP-MS) and multi-collector inductively coupled plasma mass spectrometry (MC-ICP-MS). The results showed variations in the Cd isotopes of different components of rice plants and the fractionation coefficient of rice grains relative to topsoil (Δ114/110Cdrice grains−topsoil = 0.25‰). The contributions of pollution sources to rice grains were realized by combining the Cd isotopic composition with an isotopic mixing model (Isosource). The analysis showed that all three possible pollution sources contributed to the Cd in the rice grains in the field, the average Cd contribution of industrial dust, agricultural fertilizers and automobile exhaust was 87%, 9%, and 4%, respectively. Our study provides a feasible method for the identification of pollution sources of Cd in rice grains at the field scale and demonstrates that Cd isotopic composition is one of the powerful tools to trace the pollution sources of Cd in crops.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Cd contamination in rice grains has become a topic of great concern because of the high health risks associated with the long-term consumption of Cd-contaminated rice. Identification of Cd sources in rice grains by scientific methods is important for controlling heavy metal pollution and protecting human health. Here, the Cd concentrations and Cd isotopic compositions of rice plants (root, stem, leaf, and grain) and topsoil, and possible pollution sources (agricultural fertilizers, industrial dust, and automobile exhaust) were analyzed using an instrument of inductively coupled plasma mass spectrometry (ICP-MS) and multi-collector inductively coupled plasma mass spectrometry (MC-ICP-MS). The results showed variations in the Cd isotopes of different components of rice plants and the fractionation coefficient of rice grains relative to topsoil (Δ114/110Cdrice grains−topsoil = 0.25‰). The contributions of pollution sources to rice grains were realized by combining the Cd isotopic composition with an isotopic mixing model (Isosource). The analysis showed that all three possible pollution sources contributed to the Cd in the rice grains in the field, the average Cd contribution of industrial dust, agricultural fertilizers and automobile exhaust was 87%, 9%, and 4%, respectively. Our study provides a feasible method for the identification of pollution sources of Cd in rice grains at the field scale and demonstrates that Cd isotopic composition is one of the powerful tools to trace the pollution sources of Cd in crops.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Source attributions</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Rice grains</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Fractionation</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Cd isotopic composition</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Isotopic mixing model</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Sun, Qianqian</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Yang, Jingjie</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Zhang, Xiaowen</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Guo, Boli</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">Fetters, Lisa ELSEVIER</subfield><subfield code="t">Erysipelas, the “Other” Cellulitis: A Practical Guide for Nurse Practitioners</subfield><subfield code="d">2021</subfield><subfield code="d">EES : official journal of the International Society of Ecotoxicology and Environmental safety</subfield><subfield code="g">Amsterdam</subfield><subfield code="w">(DE-627)ELV006765629</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:210</subfield><subfield code="g">year:2021</subfield><subfield code="g">day:1</subfield><subfield code="g">month:03</subfield><subfield code="g">pages:0</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.ecoenv.2020.111865</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="936" ind1="b" ind2="k"><subfield code="a">44.63</subfield><subfield code="j">Krankenpflege</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">210</subfield><subfield code="j">2021</subfield><subfield code="b">1</subfield><subfield code="c">0301</subfield><subfield code="h">0</subfield></datafield></record></collection>
|
score |
7.4019346 |