Multiple metal ion exchange equilibria with humic acid

Gamble, Donald S.; Schnitzer, M.; Kerndorff, H.; Langford, Copper H.

doi:10.1016/0016-7037(83)90070-4

Cited by 52 publications

(19 citation statements)

References 24 publications

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“…But it is the salicylic and dicarboxylic groups which are responsible for most of the binding (9,10). This is true in the sample under investigation since the percentage of sulfur and nitrogen is very low compared to the oxygen content as shown in table 1.…”

Section: Discussionmentioning

confidence: 83%

“…The extent of the interaction will depend on the range of concentration covered in a particular experiment as well as the number of sites available and the metal ions involved. A clear example of this situation was shown by Schnitzer et.al (9) and developed further by Gamble et.al (10), in which a humic acid sample was equilibrated with solutions containing eleven metal ions. At low concentration of metal ions and large amounts of humic acid all metal ions were sorbed.…”

Section: Discussionmentioning

confidence: 95%

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Direct evidence of a non ion exchange component for the total binding of paraquat to humic acid at pH 3.00

Sojo

Zienius

Langford

et al. 1987

Environmental Technology Letters

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Section: Discussionmentioning

confidence: 83%

Section: Discussionmentioning

confidence: 95%

Direct evidence of a non ion exchange component for the total binding of paraquat to humic acid at pH 3.00

Sojo

Zienius

Langford

et al. 1987

Environmental Technology Letters

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“…The principal functional groups are the carboxylic and phenolic hydroxyl groups [26]. The values measured for the cation exchange capacity for sedge peat were 1.2 Meq/g and 1.6 Meq/g.…”

Section: Comparisons Of Radionuclide and Trace Metal Migration In Marmentioning

confidence: 99%

Measurements and Models for Trace Element Input and Time Distribution Recorded in Forest Soil and Bog Ecosystems

Schell

Linkov

Novák

1998

Air Pollution in the Ural Mountains

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Atmospheric fallout of pollutant efiluent from chemical industries, metal refining plants, coal and oil combustion sources and the nuclear industry are widely distributed in forests and wetland environments. These ecosystems are repositories which collect and store the waste products of man's industrial activities and provide a source of samples which may record the regional history of pollutant input to the ecosystem and to man. Measurements of such toxic elements must be accompanied by detailed quality control procedures for sampling and analysis in order to enable a critical evaluation of the results. In plant nutrition, the local ecosystem is in general equilibrium with precipitation, nutrient and trace metal uptake from soil, and plant litter decomposition on an annual cycle. Distribution coefficients and soil-toplant transfer factor measurements of elements provide equilibrium values but do not represent conditions where dynamic, long-term processes dominate. The fallout from nuclear weapons tests and the Chernobyl NPP reactor accident, however, provided tracers for identifying the kinetic processes which make up the total equilibrium of plant growth. In forests, the complications oflong tenn-growth and nutrient availability can be separated into compartments representing deposition onto leaves, wash-off by precipitation, stem flow, understory and litter accumulation and, fmally, infiltration into the root zone for plant uptake. Studies of cores collected from ombrotrophic bogs, forest floor and lake sediments have shown the rate of atmospheric deposition and transport of elements. The bog and wetland environments provide a highly organic medium where deposition and migration of elements can be studied without the complications of the forest roots. Models which provide insight into transport processes of elements have been made in order to evaluate and predict long term

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“…The strength of the complexation reaction can be measured by evaluation of a conditional formation constant. (57)(58)(59)46).…”

Section: Organic -Inorganic Interactionsmentioning

confidence: 99%

Organic Marine Geochemistry

Sohn

1986

ACS Symposium Series

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The use of modern hyphenated methods such as GC-MS have proven invaluable to the task of assigning specific sources to specific organic compounds isolated from marine sediments, suspended particulate matter, interstitial water and seawater. Early chapters of this volume discuss the correlation of various classes of compounds isolated largely from marine and brackish sediments with sources consisting of terrigenous plants, bacteria, phytoplankton, zooplankton and nonbiological components such as anthropogenic input, petroleum seepage, and the weathering of "mineral" deposits. BiomarkersA biological marker (or "biomarker") may be defined as "a compound the structure of which can be interpreted in terms of a previous biological origin." Since the isolation and identification of metalloporphyrins in bitumens by Treibs (2) in the 1930's and their correlation with tetrapyrroles of chlorophylls, implying a biological origin for petroleum, an enormous amount of progress has been accomplished in this area of research.In order to be a useful biomarker, a compound must retain enough of its original structure to be identified as a modified version of the original biological parent compound. The retention of the carbon backbone of biologically generated alcohols, in alkanes isolated from sediments and petroleum fractions, includes the classic cases of pristane and phytane as diagenetic products of phytol (the alcohol which esterifies the carboylic acid group in chlorophyll-a) and 5 ,-cholestane from cholesterol. Other examples of the usefulness of alkanes as biomarkers include correlations of various n-alkanes to bacterial populations (3), and the association of C 30 -steranes with marine versus nonmarine input (originally as C 30 -sterols) (4).Another factor commonly used as a source indicator with respect to alkanes is the carbon number distribution. Briefly, n-alkane distributions with carbon number maxima in the 17-21 range (C 17 -C 21 ) originate largely from aquatic algal sources, while maxima characterized by higher carbon numbers are

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Multiple metal ion exchange equilibria with humic acid

Cited by 52 publications

References 24 publications

Direct evidence of a non ion exchange component for the total binding of paraquat to humic acid at pH 3.00

Direct evidence of a non ion exchange component for the total binding of paraquat to humic acid at pH 3.00

Measurements and Models for Trace Element Input and Time Distribution Recorded in Forest Soil and Bog Ecosystems

Organic Marine Geochemistry

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