Autoclave decomposition method for metals in soils and sediments

Navarrete-López, M.; Jonathan, M.P.; Rodríguez-Espinosa, P.F.; Salgado-Galeana, J. A.

doi:10.1007/s10661-011-2117-4

Cited by 25 publications

(2 citation statements)

References 10 publications

(9 reference statements)

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“…Twelve metals were assessed (As, Ba, Cd, Cu, Cr, Fe, Mg, Mn, Hg, Ni, Pb, and Zn) in water samples and the leachable fraction of surface sediment samples from each water body. Partial digestion Water 2020, 12, 29 5 of 20 was performed following the modified EPA 3051 A method as reported by [41]: 45 mL aliquots of water and 0.5 g of dry sediment were placed in polytetrafluoroethylene (PFA) beakers and mixed with 2.5 mL HNO 3 , 0.8 mL HCl and 1 mL H 2 O 2 (all analytical grade) at 119 ± 1.5 • C and 20 psi for 40 min in an autoclave. Subsequently, the digested sediment samples were filtered on Whatman paper no.…”

Section: Analytical Procedures For Metalsmentioning

confidence: 99%

Distribution Coefficient and Metal Pollution Index in Water and Sediments: Proposal of a New Index for Ecological Risk Assessment of Metals

Sedeño‐Díaz

López‐López

Mendoza-Martínez

et al. 2019

Water

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The Lake of Texcoco is a closed basin with soils that confer salinity, conductivity, and alkalinity to it. It has undergone a reduction in size, incorporation of wastewater, and short-term desiccation, and includes temporary wetlands interconnected during the rainy season, some of which receive treated wastewater. Sediments contain metals, thus affecting water quality. Five artificial lakes were studied, and 12 metals (As, Ba, Cd, Cu, Cr, Fe, Mg, Mn, Hg, Ni, Pb, and Zn) were monitored bimonthly in water and sediments from June 2015 to March 2018. The Metal Pollution Index (MPI) and the Distribution Coefficient (Kd) were computed. Fe and Cd were the most and least stable metals in sediments, respectively (mean Log(Kd) = 4.24 and 2.079). Based on Log(K d ), metals were ranked as Fe > Mn > Zn > Cu > Mg > Cr > Ni > Ba > Pb > Hg > As > Cd. Log(K d ) values < 3 and > 5 indicate that metals occur mainly in water and sediments, respectively. The Mean Distribution Coefficient Log(K d MPI ) is a novel index proposed to assess ecological risk from metals in a water body. This index allows determining the phase (liquid or solid) where metals predominate, negatively affecting either free-swimming or benthic organisms. Log(K d MPI ) values indicated that metals occur primarily in the liquid phase in all lakes studied.Water 2020, 12, 29 2 of 20 of metals derived from anthropogenic sources such as urban, agricultural, and industrial areas are discharged into aquatic environments [5], then transported through the water column and accumulated in sediments, thus posing an ecological risk to benthic organisms, fish, and other aquatic organisms, and ultimately affecting humans [8,12].Lakes are among the most vulnerable and fragile aquatic ecosystems, because they function as sinks for a wide range of dissolved and particulate substances [13]. Sediments are essential components of lakes, providing food for benthic organisms and accumulating multiple pollutants such as pesticides; additionally, sediments are the most important reservoirs of metals in aquatic systems [1,10,14]. Over the past three decades, metals in water and sediments of freshwater ecosystems have been the focus of interest of several researchers [15][16][17]. Therefore, the development of evaluation methods to monitor metal pollution is essential.

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Section: Analytical Procedures For Metalsmentioning

confidence: 99%

Distribution Coefficient and Metal Pollution Index in Water and Sediments: Proposal of a New Index for Ecological Risk Assessment of Metals

Sedeño‐Díaz

López‐López

Mendoza-Martínez

et al. 2019

Water

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“…However, the autoclave is generally more affordable than lab microwaves. The ability of the autoclave to break down organic matter is well known and it can be used to digest organic matter and compounds such as urine, if it is used with a proper digestion solvent (Jeffries, Dieken, and Jones 1979;Crowther 1978;Navarrete-López et al 2012). Using an autoclave to extract iodine from samples is uncommon in the literature (Haldimann, Eastgate, and Zimmerli 2000); therefore, the evaluation of this technique with respect to iodine recovery was necessary to ensure all iodine remained in the sample.…”

Section: Extraction Formulamentioning

confidence: 99%

A Rapid and Efficient Autoclave Pre-Treatment to Extract Iodine-129 from Urine Samples for AMS Analysis

Alotaibi

Mn²,

Rj³

2020

Preprint

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A new method was developed to extract 129I from urine samples and then measure it by AMS. The samples were pre-treated in an autoclave with hydrogen peroxide to remove unwanted compounds from the urine samples and were acidified with nitric acid, followed by precipitation of iodine as silver iodide (AgI) for measurement by AMS. This new procedure is substantially faster than previous methods for the extraction of iodine from urine and results in less chemical waste. The efficiency and reproducibility of this method were evaluated by using 125I as a yield tracer, eventually giving a recovery above 99%. To achieve this, several iterations of the method were required. The method was then successfully applied to measure 129I/127I isotopic ratios and 129I concentrations in 25 human urine samples. The AMS results for 129I in urine ranged 3.3 x 106 atoms/L to 884 x 106 atoms/L and the isotope ratio (129I/127I) in human urine ranged from 7.38 x 10-12 to 3.97 x 10-10 with a median of 1.29 x 10-10. This new method will be useful for investigations into the sources of iodine in the human diet and their relative importance for iodine sufficiency.

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Total and Acid-Leachable Trace Metals in Surface Sediment of Sundarban Wetland and Adjacent Hooghly River Estuary

Sarkar

2017

Trace Metals in a Tropical Mangrove Wetland

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Autoclave decomposition method for metals in soils and sediments

Cited by 25 publications

References 10 publications

Distribution Coefficient and Metal Pollution Index in Water and Sediments: Proposal of a New Index for Ecological Risk Assessment of Metals

Distribution Coefficient and Metal Pollution Index in Water and Sediments: Proposal of a New Index for Ecological Risk Assessment of Metals

A Rapid and Efficient Autoclave Pre-Treatment to Extract Iodine-129 from Urine Samples for AMS Analysis

Total and Acid-Leachable Trace Metals in Surface Sediment of Sundarban Wetland and Adjacent Hooghly River Estuary

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