Comparison of different analytical procedures in the determination of trace elements in lichens

Baffi, Claudio; Bettinelli, M.; Beone, Gian Maria; Spezia, S.

doi:10.1016/s0045-6535(02)00094-2

Cited by 49 publications

(31 citation statements)

References 4 publications

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“…The wet digestion was based on the methodology developed by Baffi et al 35 About 250 mg of material was weighted in a teflon PFA tubes (HP-500, 100 mL), and then was added 7 mL of HNO 3 65% (40% m/v, suprapur, Merck), 1 mL H 2 O 2 (30%, analytical grade, Merck) and 200 µL of HF (40%, suprapur, Merck). The calibration solutions were prepared from SPEX solutions (1 000 µg g -1 ) in 2% HNO 3 .…”

Section: Sample Preparationmentioning

confidence: 99%

Multivariate classification based on chemical and stable isotopic profiles in sourcing the origin of marijuana samples seized in Brazil

Shibuya¹,

Sarkis²,

Neto³

et al. 2007

J. Braz. Chem. Soc.

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Este trabalho teve como principal objetivo verificar as diferenças existentes na composição elementar de amostras de Cannabis, apreendidas em diferentes regiões produtoras do país, previamente separadas através da análise de isótopos estáveis de carbono e nitrogênio, e utilizar estas diferenças para classificar as amostras de acordo com sua origem geográfica. A técnica analítica empregada foi a de espectrometria de massas de dupla focalização com fonte de plasma acoplado indutivamente (HR-ICP-MS), e a avaliação dos dados foi realizada utilizando-se a análise de agrupamentos (hierarchical cluster analysis) e de discriminantes linear. Os resultados indicam que amostras provenientes de regiões diferentes apresentam perfis químicos diferentes e estes por sua vez parecem estar relacionadas com as características geológicas das regiões consideradas. Os parâmetros mais importantes nesta avaliação foram os isótopos estáveis de carbono e nitrogênio e os níveis de cobre, cobalto, bário, lantânio, zinco, ferro, ítrio e manganês. Este trabalho demonstrou a possibilidade de se utilizar amostras apreendidas nas ruas para a criação de um banco de dados para o monitoramento da maconha consumida no país.The main task of this work was to verify the existing differences in the elemental composition of samples seized in the main Brazilian regions of marijuana production, previously separated by their carbon and nitrogen stable isotope results, and to use these differences to classify the samples according to their geographical origins. The sector field inductively coupled plasma mass spectrometry technique (HR-ICP-MS) was the analytical technique applied and the data analysis was performed using hierarchical cluster and linear discriminant analysis. Results indicate that samples from different regions present different chemical profiles that appear in accordance to the geological characteristics of each region. The most relevant parameters were carbon and nitrogen stable isotopes, copper, cobalt, barium, lanthanum, zinc, iron, yttrium and manganese. An interesting product of this work was to demonstrate the possibility of using seized samples to create a national databank for monitoring the geographical origin of marijuana consumed in the country.

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Section: Sample Preparationmentioning

confidence: 99%

Multivariate classification based on chemical and stable isotopic profiles in sourcing the origin of marijuana samples seized in Brazil

Shibuya¹,

Sarkis²,

Neto³

et al. 2007

J. Braz. Chem. Soc.

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“…The Aqua Regia digestion method was retained for Cd (n = 81), Co (n = 839), Cr (n = 899), Ni (n = 860), and Pb (n = 860) as it was the most widely used method for dissolving the soil samples among the dataset. Following that, Inductively Coupled Plasma (ICP) methods (ICP-MS and ICP-OES) were combined together as they provide comparable results for this type of study, both in accuracy and precision (Baffi et al, 2002). For As (n = 877), the Instrumental Neutron Activation Analysis (INAA) method was retained because not enough samples analyzed by ICP methods were available after removing blanks and the values below the detection limit for both the surface and the subsurface samples.…”

Section: Datamentioning

confidence: 99%

Exploring the Relationship between Surface and Subsurface Soil Concentrations of Heavy Metals using Geographically Weighted Regression

Deschenes

Setton

Demers

et al. 2013

E3S Web of Conferences

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Abstract. Geographically Weighted Regression (GWR)is used to analyze the spatial variability of the relationship between the surface and the subsurface (b horizon) soil metal concentration. We used publiclyavailable soil samples from provincial government websites in Canada. The correlation between the log of concentration levels of the two layers are 0.51 for As, 0.40 for Cd, 0.33 for Cr, 0.52 for Co, 0.38 for Ni, and 0.23 for Pb. Although the correlation results show that the two layers seem to be related, the GWR analysis suggests that other factors might play important role in predicting the surface soil concentration of these metals. For example, only arsenic (R 2 =0.34) shows no spatial autocorrelation in the residuals. This study proposes that factors (natural and anthropogenic) other than the subsurface concentration itself are controlling the concentration surface levels for all the studied metals in this dataset.

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“…Despite the introduction of close vessel microwave assisted mineralization system has been a crucial improvement, the sample pretreatment step is always a source of heavy uncertainty. In literature the problem of efficiency of the analyte recovery by varying the leaching/extraction procedure is widely debated over many years (Baffi et al 2002, Hassan Nouri M. et al, 2007Quevauviller et al 1996, Sandroni andSmith, 2002;Wang et al 2004).…”

Section: Introductionmentioning

confidence: 99%

Trace metal contaminants in sediments and soils: comparison between ICP and XRF quantitative determination

Congiu

Perucchini

Cesti

2013

E3S Web of Conferences

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Abstract.A mineralization method HCl-free for heavy metals analysis in sediments and soils by DRC-ICP-MS was developed. The procedure, which uses concentrated nitric, hydrofluoric acid and hydrogen peroxide, was applied for the analysis of arsenic, cadmium, chromium, nickel and vanadium. The same samples were then analyzed, as pressed pellets, by wavelength dispersive X ray fluorescence (WD-XRF) using the dedicated PANalytical Pro Trace solution for the determination of trace elements. Comparison of ICP and XRF data showed good agreement for the elements under investigation, unless for chromium in soils, which recovery was not complete.

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Comparison of different analytical procedures in the determination of trace elements in lichens

Cited by 49 publications

References 4 publications

Multivariate classification based on chemical and stable isotopic profiles in sourcing the origin of marijuana samples seized in Brazil

Multivariate classification based on chemical and stable isotopic profiles in sourcing the origin of marijuana samples seized in Brazil

Exploring the Relationship between Surface and Subsurface Soil Concentrations of Heavy Metals using Geographically Weighted Regression

Trace metal contaminants in sediments and soils: comparison between ICP and XRF quantitative determination

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