Detection of Heavy Metals Mobile Fraction in Lagoonal Wetland Sediment Using Near-Infrared Spectroscopy and Ecological Risk Assessment

BACKGROUND Heavy metal elements in sediment can migrate in an active state under natural action, which has potential bioavailability and potential regional ecological risks. The use of near-infrared spectroscopy (NIRS) technology to study the response mechanism of samples of different matrices can p...

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Main Authors: SHANG Wen-yu, XIE Man-man, WANG Shu-xian, SUN Qing, CEN Kuang
Format: Article
Language:English
Published: Science Press, PR China 2020-07-01
Series:Yankuang ceshi
Subjects:
Online Access:http://www.ykcs.ac.cn/en/article/doi/10.15898/j.cnki.11-2131/td.202001010001
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author SHANG Wen-yu
XIE Man-man
WANG Shu-xian
SUN Qing
CEN Kuang
author_facet SHANG Wen-yu
XIE Man-man
WANG Shu-xian
SUN Qing
CEN Kuang
author_sort SHANG Wen-yu
collection DOAJ
description BACKGROUND Heavy metal elements in sediment can migrate in an active state under natural action, which has potential bioavailability and potential regional ecological risks. The use of near-infrared spectroscopy (NIRS) technology to study the response mechanism of samples of different matrices can provide a non-destructive and rapid analysis method for evaluating the active state of heavy metals and provide a basis for ecological risk research. OBJECTIVES To reveal the characteristics of active metal elements in lagoonal wetland sediment and evaluate their ecological risk. METHODS Sediment core and soil samples near by the drilling site were analyzed using both spectral and chemical method. NIR spectra of dry-freezed sample were collected by infrared spectrometer with integrating sphere. Based on the near infrared spectroscopy analysis technique, near infrared spectrum were collected by the integrating device within range of 4000-10000cm-1 (1000-2500nm), at the resolution of 2cm-1. Meanwhile the chemical mobile fractions of heavy metal elements were extracted from soil and sediment samples by diluted nitric acid, the dissolved concentrations of Co, Ni, Cu, Zn, Cd, Pb were determined by inductively coupled plasma-mass spectrometry (ICP-MS). With both chemical and spectral predicted value, the partial least squares regression prediction model had been developed and applied to determine mobile fraction of Co, Ni, Cu, Zn, Cd and Pb. RESULTS Area of absorption peaks at 7290-6390cm-1 and 4683-4000cm-1 related to O-H strentching along with AlAl-OH and Al(Mg)-OH bending indirectly indicate the active content of heavy metals. Spectral prediction results show that the changes in the active components of Co, Ni, Cu, Zn, Cd and Pb in the sediments of the Qilihai in the past 100 years corresponded to the three obvious changes from 1934 to 1948, 1956 to 1963, and 1976 to the present. The temperature increase also corresponded to large-scale human disturbances such as the construction of the Qilihai Reservoir in 1980. CONCLUSIONS The total and mobile fractions of Co, Ni, Cu, Zn, Cd and Pb in Qilihai sediments were lower than the ecological risk threshold specified in the national standard. The ecological risk of heavy metals released from wetlands towards nearby villages and farmland in the Qilihai catchment area was extremely low.
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spelling doaj.art-ca7756f8941a495280157fff707d61a02023-01-13T09:34:12ZengScience Press, PR ChinaYankuang ceshi0254-53572020-07-0139459760810.15898/j.cnki.11-2131/td.202001010001ykcs-39-4-597Detection of Heavy Metals Mobile Fraction in Lagoonal Wetland Sediment Using Near-Infrared Spectroscopy and Ecological Risk AssessmentSHANG Wen-yu0XIE Man-man1WANG Shu-xian2SUN Qing3CEN Kuang4School of Earth Sciences and Resources, China University of Geosciences(Beijing), Beijing 100083, ChinaKey Laboratory of Eco-Environmental Geochemistry, Ministry of Natural Resources, National Research Center for Geoanalysis, Beijing 100037, ChinaKey Laboratory of Eco-Environmental Geochemistry, Ministry of Natural Resources, National Research Center for Geoanalysis, Beijing 100037, ChinaKey Laboratory of Eco-Environmental Geochemistry, Ministry of Natural Resources, National Research Center for Geoanalysis, Beijing 100037, ChinaSchool of Earth Sciences and Resources, China University of Geosciences(Beijing), Beijing 100083, ChinaBACKGROUND Heavy metal elements in sediment can migrate in an active state under natural action, which has potential bioavailability and potential regional ecological risks. The use of near-infrared spectroscopy (NIRS) technology to study the response mechanism of samples of different matrices can provide a non-destructive and rapid analysis method for evaluating the active state of heavy metals and provide a basis for ecological risk research. OBJECTIVES To reveal the characteristics of active metal elements in lagoonal wetland sediment and evaluate their ecological risk. METHODS Sediment core and soil samples near by the drilling site were analyzed using both spectral and chemical method. NIR spectra of dry-freezed sample were collected by infrared spectrometer with integrating sphere. Based on the near infrared spectroscopy analysis technique, near infrared spectrum were collected by the integrating device within range of 4000-10000cm-1 (1000-2500nm), at the resolution of 2cm-1. Meanwhile the chemical mobile fractions of heavy metal elements were extracted from soil and sediment samples by diluted nitric acid, the dissolved concentrations of Co, Ni, Cu, Zn, Cd, Pb were determined by inductively coupled plasma-mass spectrometry (ICP-MS). With both chemical and spectral predicted value, the partial least squares regression prediction model had been developed and applied to determine mobile fraction of Co, Ni, Cu, Zn, Cd and Pb. RESULTS Area of absorption peaks at 7290-6390cm-1 and 4683-4000cm-1 related to O-H strentching along with AlAl-OH and Al(Mg)-OH bending indirectly indicate the active content of heavy metals. Spectral prediction results show that the changes in the active components of Co, Ni, Cu, Zn, Cd and Pb in the sediments of the Qilihai in the past 100 years corresponded to the three obvious changes from 1934 to 1948, 1956 to 1963, and 1976 to the present. The temperature increase also corresponded to large-scale human disturbances such as the construction of the Qilihai Reservoir in 1980. CONCLUSIONS The total and mobile fractions of Co, Ni, Cu, Zn, Cd and Pb in Qilihai sediments were lower than the ecological risk threshold specified in the national standard. The ecological risk of heavy metals released from wetlands towards nearby villages and farmland in the Qilihai catchment area was extremely low.http://www.ykcs.ac.cn/en/article/doi/10.15898/j.cnki.11-2131/td.202001010001lagoonal sedimentclay sedimentheavy metals mobile fractionnear-infrared spectroscopypartial least squares regressionecological risk
spellingShingle SHANG Wen-yu
XIE Man-man
WANG Shu-xian
SUN Qing
CEN Kuang
Detection of Heavy Metals Mobile Fraction in Lagoonal Wetland Sediment Using Near-Infrared Spectroscopy and Ecological Risk Assessment
Yankuang ceshi
lagoonal sediment
clay sediment
heavy metals mobile fraction
near-infrared spectroscopy
partial least squares regression
ecological risk
title Detection of Heavy Metals Mobile Fraction in Lagoonal Wetland Sediment Using Near-Infrared Spectroscopy and Ecological Risk Assessment
title_full Detection of Heavy Metals Mobile Fraction in Lagoonal Wetland Sediment Using Near-Infrared Spectroscopy and Ecological Risk Assessment
title_fullStr Detection of Heavy Metals Mobile Fraction in Lagoonal Wetland Sediment Using Near-Infrared Spectroscopy and Ecological Risk Assessment
title_full_unstemmed Detection of Heavy Metals Mobile Fraction in Lagoonal Wetland Sediment Using Near-Infrared Spectroscopy and Ecological Risk Assessment
title_short Detection of Heavy Metals Mobile Fraction in Lagoonal Wetland Sediment Using Near-Infrared Spectroscopy and Ecological Risk Assessment
title_sort detection of heavy metals mobile fraction in lagoonal wetland sediment using near infrared spectroscopy and ecological risk assessment
topic lagoonal sediment
clay sediment
heavy metals mobile fraction
near-infrared spectroscopy
partial least squares regression
ecological risk
url http://www.ykcs.ac.cn/en/article/doi/10.15898/j.cnki.11-2131/td.202001010001
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AT sunqing detectionofheavymetalsmobilefractioninlagoonalwetlandsedimentusingnearinfraredspectroscopyandecologicalriskassessment
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