scholarly journals Elemental Composition of Particulate Matter in South-Asian Megacity (Faisalabad-Pakistan): Seasonal Behaviors, Source Apportionment and Health Risk Assessment

2020 ◽  
Vol 71 (2) ◽  
pp. 288-301 ◽  
Author(s):  
Muhammad Usman Alvi ◽  
Tariq Mahmud ◽  
Magdalena Kistler ◽  
Anne Kasper-Giebl ◽  
Imran Shahid ◽  
...  
Keyword(s):  
Trace Elements ◽  
Health Risk ◽  
Atmospheric Aerosols ◽  
Inductively Coupled Plasma ◽  
Principal Component ◽  
Ambient Air ◽  
Enrichment Factors ◽  
Average Concentration ◽  
Emission Spectrometry ◽  
Us Epa

The composition of atmospheric aerosols can help to identify pollution sources, particulate transportation and possible impacts on human health. In this study, seasonal variations and sources of elemental contents in PM10 from Faisalabad area were investigated. In total 117 samples were collected on 24 hours basis from September 2015 to December 2016. The selected trace elements, viz., Al, Ba, Ca, Fe, K, Mg, Mn, Na, P, Pb, S and Zn were measured by inductively coupled plasma optical emission spectrometry (ICP-OES). The average PM10 concentration was found to be 744 � 392 μg m-3, exceeding the limits proposed by Pak-EPA (150 μg m-3), US-EPA (150 μg m-3) and WHO (50 μg m-3). On average concentration basis, the elements were in the order of Ca ] Al ] S ] Fe ] K ] Mg ] Zn ] Na ] Pb ] P ] Mn ] Ba. The elements apparently emitted from natural sources were dominant in spring and summer seasons, while those emitted from anthropogenic inputs were more prominent in winter and autumn seasons. A correlation analysis revealed that pairs of elements originated from common sources were suspended in the ambient air. The enrichment factors (EFs), principal component analysis (PCA) and cluster analysis (CA) indicated wind-blown dust, biomass burning, fossil fuel combustion and vehicular exhaust/non-exhaust emissions as major sources. A health risk caused by non-carcinogenic trace elements such as Pb, Zn and Mn was also assessed according to the method specified by US-EPA.

scholarly journals Distribution and risk appraisal of dissolved trace elements in Begnas Lake and Rupa Lake, Gandaki Province, Nepal

2021 ◽  
Vol 3 (5) ◽  
Author(s):  
Ramesh Raj Pant ◽  
Kiran Bishwakarma ◽  
Buddha Bahadur Basnet ◽  
Khadka Bahadur Pal ◽  
Laxmi Karki ◽  
...  
Keyword(s):  
Trace Elements ◽  
Health Risk ◽  
Lake Water ◽  
Inductively Coupled Plasma ◽  
Monsoon Season ◽  
Principal Component ◽  
Agricultural Runoff ◽  
Freshwater Ecosystems ◽  
Health Concern ◽  
And Cluster Analysis

AbstractContamination of the trace elements (TEs) in the freshwater ecosystems is becoming a worldwide problem. This study was carried out to investigate the TEs contamination, and their associated health risk in Begnas Lake and Rupa Lake, Gandaki Province, Nepal. A total of 30 water samples were collected from both lakes during the pre-monsoon season in 2016. The samples were analyzed for the TEs including copper (Cu), lead (Pb), zinc (Zn), nickel (Ni), cobalt (Co), chromium (Cr), cadmium (Cd), manganese (Mn), cesium (Cs), and arsenic (As) using inductively coupled plasma mass spectrometry. The results exhibited that the mean concentrations of all the TEs were higher in Rupa Lake as compared to Begnas Lake except Pb. Principal component analysis and cluster analysis revealed that both the geogenic and anthropic sources were the major contributors of TEs in the lake water. Anthropic activities were considered to contribute the TEs like Zn and Mn in lake water mainly via agricultural runoff, while evaluating the risk of TEs on human health all the elements showed HQ < 1 and CR < 10−4 indicating currently very low health risk concerns. In good agreement with above, the water quality index (WQI) of the Begnas Lake and Rupa Lake was 2.67 and 5.66, respectively, specifying the lake water was safe for drinking and public health concern. This appraisal would help the policymakers and concerned stakeholders for the sustainable management of Ramsar listed freshwater lakes in the Himalayas.

scholarly journals Determination of Trace Elements in Corydalis conspersa and Corydalis linarioides by ICP-AES

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Qing Du ◽  
Yanguo Cai ◽  
Zhi Chen ◽  
Dongliang Wei ◽  
Yande Cao ◽  
...  
Keyword(s):  
Trace Elements ◽  
Inductively Coupled Plasma ◽  
Control Method ◽  
Factor Model ◽  
Great Influence ◽  
Principal Component ◽  
Emission Spectrometry ◽  
Plasma Atomic Emission Spectrometry ◽  
Stems And Leaves

In order to establish a method for the simultaneous determination of trace elements Al, As, B, Ca, Cr, Cu, Fe, K, Li, Mg, Mn, Na, Ni, P, Si, Ti, and Zn in Corydalis conspersa and Corydalis linarioides, we collected the samples from different areas and treated with acid hydrolysis into tissues to be detected by the way of inductively coupled plasma-atomic emission spectrometry compared with the standard element control method. We can know that the contents of Al, Ca, Fe, K, Mg, Na, and P in roots, stems, leaves, and flowers were higher. The contents of elements in different tissues and areas were as follows: flower > leaf > stem > root, Zeku County > Guide County > Nangqian County > Henan County. Among them, the contents of each element in the flowers of Maixiu Forest Farm were higher, while the contents of B, Cr, Cu, Li, Mn, Ni, Si, Ti, and Zn in roots, stems, and leaves of other areas were lower. The contents of heavy metal elements complied with the limit degree. A 3-factor model was obtained by principal component analysis which could clarify 82.46% of the total experimental data; the factors of Al, Fe, Mg, Na, P, Ca, Cu, Si, and Zn had great influence on the efficacy of 21 kinds of medicinal materials. Cluster analysis classified the samples into three categories; the flowers of Corydalis conspersa and stems of Corydalis linarioides from different collection areas are clustered containing high contents of type 1 and 3 characteristic components; the roots, stems, and leaves from other collection areas are clustered with low contents of 1 and 2 characteristic components. It can be used for the determination of trace elements in Corydalis conspersa and Corydalis linarioides to provide effective basis for revealing the function of trace elements with plant growth.

Spatial distribution and geochemistry of major and trace elements from Mohoș peatland, Harghita Mountains, Romania

The Holocene ◽  
2018 ◽  
Vol 28 (12) ◽  
pp. 1936-1947 ◽  
Author(s):  
Mihaela Vasilica Adumitroaei ◽  
Gabriel Ovidiu Iancu ◽  
Bogdan Gabriel Rățoi ◽  
Costel Silviu Doru ◽  
Cristian Marius Sandu
Keyword(s):  
Trace Elements ◽  
Inductively Coupled Plasma ◽  
Fossil Fuels ◽  
Anthropogenic Activities ◽  
Principal Component ◽  
Optical Emission ◽  
Mining Area ◽  
Emission Spectrometry ◽  
Chemical Compositions ◽  
Distribution Maps

The Mohoș peatland is used as environmental archives of deposition for major (Al, Ca, Mg, Fe, and Mn) and minor elements (Cr, Cu, Ni, Pb, Sr, and Zn). The intense mining activity of Cu-rich pyrite and polymetallic sulfide ore from Bălan districts during the past centuries with a strong pollution impact was the reason why the Mohoș peatland, located in the vicinity of a mining area, was selected for this study. The mineralogical and chemical compositions of the peat have been determined by inductively coupled plasma optical emission spectrometry (ICP-OES), scanning electron microscopy (SEM), and x-ray diffraction (XRD). The identification of the main processes affecting the concentrations of the elements in peat was statistically evaluated by principal component analysis (PCA), and the identification of the main groups was determined by hierarchical clustering analysis (HCA). Our results revealed that the source of chemical and mineralogical peat samples is mainly geogenic with most of the elements being accumulated following the disintegration of parental material and through volcanic activity. For Pb, Zn, Ni, Al, and Sr, the concentrations were influenced by both natural processes and anthropogenic activities, such as mining, burning of fossil fuels, traffic activities, and metallurgy. Copper was influenced by anthropogenic activities. The distribution maps of trace elements were built only for the area in which the samples were taken.

scholarly journals Assessment of essential elements and chemical contaminants in thirteen fish species from the Bay Aratu, Bahia, Brasil

2016 ◽  
Vol 76 (4) ◽  
pp. 871-877 ◽  
Author(s):  
E. Silva ◽  
Z. C. V. Viana ◽  
N. F. A. Souza ◽  
M. G. A. Korn ◽  
V. L. C. S. Santos
Keyword(s):  
Fish Species ◽  
Inductively Coupled Plasma ◽  
Certified Reference Materials ◽  
Principal Component ◽  
Optical Emission ◽  
Hierarchical Cluster ◽  
Essential Elements ◽  
Emission Spectrometry ◽  
Oyster Tissue ◽  
National Agency

Abstract Concentrations of ten elements (Cd, Cr, Cu, Fe, Ni, Pb, Se, Sr, V and Zn) were determinate in muscle tissues of 13 fish species from Aratu Bay, Bahia, Brazil by inductively coupled plasma optical emission spectrometry. The accuracy and precision of our results were checked by using two certified reference materials: BCR-422 cod muscle and SRM 1566b oyster tissue. The average trace element concentrations in the fish species varied in the following ranges, in μg g–1: 0.03-0.8 for Cr; 2.0-33.7 for Cu, 2.4-135.1 for Fe, 1.6-25.6 for Se; 1.6-35.1 for Sr; and 2.8-40.5 for Zn. The Diaptereus rhombeus (carapeba) specie presented the highest concentrations of Se, Cu and Fe. Chromium and Se were present at levels above the limit of tolerance allowed by the National Agency of Sanitary Vigilance (ANVISA). The results were also evaluated using the multivariate analysis techniques: principal component analysis (PCA) and hierarchical cluster analysis (HCA).

scholarly journals Traceability of the geographical origin of Siraitia grosvenorii based on multielement contents coupled with chemometric techniques

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Xiao-Ping Huang ◽  
Lei Lei ◽  
Shun-Xin Lei ◽  
Wei-Wei Zhu ◽  
Jun Yan
Keyword(s):  
Inductively Coupled Plasma ◽  
Geographical Origin ◽  
Principal Component ◽  
Emission Spectrometry ◽  
Support Vector ◽  
Linear Discriminant ◽  
Protected Designation Of Origin ◽  
Siraitia Grosvenorii ◽  
Discrimination Rate ◽  
Chemometric Techniques

AbstractSiraitia grosvenorii (LHG) is widely used as a medicinal and edible material around the world. The objective of this study was to develop an effective method for the authentication of the geographical origin of LHG in its main producing area Guangxi, China, which is identified as Chinese Protected Designation of Origin product, against other producing regions in China. The content of 14 elements (K, Na, Ca, P, Mg, Al, B, Ba, Cu, Fe, Mn, Ni, Zn, and Sr) of 114 LHG samples was determined by inductively coupled plasma optical emission spectrometry. Multivariate analysis was then performed to classify the geographical origin of LHG samples. The contents of multielement display an obvious trend of clustering according to the geographical origin of LHG samples based on radar plot and principal component analysis. Finally, three supervised statistical techniques, including linear discriminant analysis (LDA), k-nearest neighbours (k-NN), and support vector machine (SVM), were applied to develop classification models. Finally, 40 unknown LHG samples were used to evaluate the predictive ability of model and discrimination rate of 100%, 97.5% and 100% were obtained for LDA, k-NN, and SVM, respectively. This study indicated that it is feasible to attribute unknown LHG samples to its geographical origin based on its multielement content coupled with chemometric techniques.

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