Modelling metal accumulation using humic acid as a surrogate for plant roots

Le, T.T. Yen; Swartjes, Frank A.; Römkens, P.F.A.M.; Groenenberg, J.E.; Wang, Peng; Lofts, Stephen; Hendriks, A. Jan

doi:10.1016/j.chemosphere.2014.11.003

Cited by 14 publications

(5 citation statements)

References 58 publications

(1 reference statement)

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“…Antunes et al similarly showed that the onset of acute toxicological response of barley to Cu was better correlated to the low-affinity ligands subsequent to the saturation of high-affinity sites. In plants, the large number of low-affinity sites would be the carboxylic acids, which reversibly bind a number of metals without the same degree of differentiation among metals as would be expected for high-affinity sites. , Although the development of an mBLM with different biotic ligands for Cu and Zn might improve model fits, such a model construct would require even more model parameters. In addition, it should be noted that the BLM requires a large data set to fit all model parameters.…”

Section: Discussionmentioning

confidence: 99%

“…The model assumes that mixture exposure, and hence toxicity, depends on the interactions of metals and protons with the organism at reversible binding sites, and that these competitive chemical reactions can be represented by competitive binding to particulate humic acid. , The particulate humic acid (HA)-phase database of WHAM VII can be easily used to calculate the concentrations of metals on HA, which is a proxy for metabolically available metal . The ability of WHAM to model metal accumulation using humic acid as a surrogate for effects on several species has been reported in several studies. ,− The WHAM- F tox model was initially developed to quantify the joint toxicity of metals and protons to aquatic organisms. Its applicability to predict mixture toxicity to plants exposed in different soils has never been investigated.…”

Section: Introductionmentioning

confidence: 99%

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Interactions and Toxicity of Cu–Zn mixtures to Hordeum vulgare in Different Soils Can Be Rationalized with Bioavailability-Based Prediction Models

Qiu

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Guzman-Rangel

et al. 2015

Environ. Sci. Technol.

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Soil contamination with copper (Cu) is often associated with zinc (Zn), and the biological response to such mixed contamination is complex. Here, we investigated Cu and Zn mixture toxicity to Hordeum vulgare in three different soils, the premise being that the observed interactions are mainly due to effects on bioavailability. The toxic effect of Cu and Zn mixtures on seedling root elongation was more than additive (i.e., synergism) in soils with high and medium cation-exchange capacity (CEC) but less than additive (antagonism) in a low-CEC soil. This was found when we expressed the dose as the conventional total soil concentration. In contrast, antagonism was found in all soils when we expressed the dose as free-ion activities in soil solution, indicating that there is metal-ion competition for binding to the plant roots. Neither a concentration addition nor an independent action model explained mixture effects, irrespective of the dose expressions. In contrast, a multimetal BLM model and a WHAM-Ftox model successfully explained the mixture effects across all soils and showed that bioavailability factors mainly explain the interactions in soils. The WHAM-Ftox model is a promising tool for the risk assessment of mixed-metal contamination in soils.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Interactions and Toxicity of Cu–Zn mixtures to Hordeum vulgare in Different Soils Can Be Rationalized with Bioavailability-Based Prediction Models

Qiu

Versieren

Guzman-Rangel

et al. 2015

Environ. Sci. Technol.

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“…The performance of the developed model was evaluated by comparing the analysed metal concentration in the uninfected chub, the infected chub, and the acanthocephalans with the corresponding predicted concentration according to the developed model by using different means of statistical parameters. The capacity of the model in explaining the variations in the metal concentration in the chub or in the acanthocephalans was expressed by the value of r 2 and p [81]. In addition, the deviation between the measured and the predicted concentrations was represented by the values of mean absolute error (MAE) and root mean square error (RMSE) [81].…”

Section: Methodsmentioning

confidence: 99%

“…The capacity of the model in explaining the variations in the metal concentration in the chub or in the acanthocephalans was expressed by the value of r 2 and p [81]. In addition, the deviation between the measured and the predicted concentrations was represented by the values of mean absolute error (MAE) and root mean square error (RMSE) [81]. The validation for Fe, Cu, and Zn at the background concentrations of the tap water was carried out assuming that at those low concentrations, the accumulation of the metals in the chub was not affected by the acanthocephalans.…”

Section: Methodsmentioning

confidence: 99%

Development and Validation of a Biodynamic Model for Mechanistically Predicting Metal Accumulation in Fish-Parasite Systems

Nachev

Grabner

et al. 2016

PLoS ONE

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Because of different reported effects of parasitism on the accumulation of metals in fish, it is important to consider parasites while interpreting bioaccumulation data from biomonitoring programmes. Accordingly, the first step is to take parasitism into consideration when simulating metal bioaccumulation in the fish host under laboratory conditions. In the present study, the accumulation of metals in fish-parasite systems was simulated by a one-compartment toxicokinetic model and compared to uninfected conspecifics. As such, metal accumulation in fish was assumed to result from a balance of different uptake and loss processes depending on the infection status. The uptake by parasites was considered an efflux from the fish host, similar to elimination. Physiological rate constants for the uninfected fish were parameterised based on the covalent index and the species weight while the parameterisation for the infected fish was carried out based on the reported effects of parasites on the uptake kinetics of the fish host. The model was then validated for the system of the chub Squalius cephalus and the acanthocephalan Pomphorhynchus tereticollis following 36-day exposure to waterborne Pb. The dissolved concentration of Pb in the exposure tank water fluctuated during the exposure, ranging from 40 to 120 μg/L. Generally, the present study shows that the one-compartment model can be an effective method for simulating the accumulation of metals in fish, taking into account effects of parasitism. In particular, the predicted concentrations of Cu, Fe, Zn, and Pb in the uninfected chub as well as in the infected chub and the acanthocephalans were within one order of magnitude of the measurements. The variation in the absorption efficiency and the elimination rate constant of the uninfected chub resulted in variations of about one order of magnitude in the predicted concentrations of Pb. Inclusion of further assumptions for simulating metal accumulation in the infected chub led to variations of around two orders of magnitude in the predictions. Therefore, further research is required to reduce uncertainty while characterising and parameterising the model for infected fish.

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“…Az anaerob fermentáció optimális működéséhez a mikrobiális összetétel alapján nyomelem adagolás szükséges (ZHANG-JAHNG 2012, QIANG et al 2013. A metántermelésre gyakorolt pozitív hatások mellett azonban a nehézfémek akkumulációja kedvezőtlen folyamatokat indíthat el a talaj ökoszisztémában (WALTER et al 2006, SALAZAR et al 2012, amely további negatív hatásként jelentkezhet az élelmiszerláncban (WAHSHA et al 2014, LE et al 2015. A lehetséges következmények azonosítása érdekében ökotoxikológiai tesztek elvégzése indokolt.…”

Section: Bevezetésunclassified

Az Erdőmérnöki Kar Tudományos Kiadványa

2023

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This study was designed to identify the perceptions of local dryland savanna communities about the characteristics of biomass fuels for energy use. The survey was conducted using stratified sampling technique. The questionnaire covered various topics related to consumers and the characteristics of biomass for energy use. For the most frequently energetically used tree species, the use value, fidelity level and the factor informant consensus of the informants were calculated. According to the highest use values, Acacia mellifera, Capparis decidua, Dalbergia melanoxylon, and Acacia nilotica were the most important energy tree species in the study area. In the manufacture of bricks, sustained combustion is most desirable, while for bakeries and domestic use rapid ignition and low smoke production are preferred. Therefore, it is necessary to support the results of this study by further investigation of the characteristics of the selected species and their verification in the laboratory. AcknowledgementMy thanks and gratefulness to Stipendium Hungaricum, and the staff of University of Sopron, Faculty of Forestry, Institute of Forest and Natural Resource Management for their valuable guidance and helps. I would like to acknowledge the help of the Forester for Agriculture Services Centre (FASC) which is providing assistance required. Special thanks go to 12. oldal

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Modelling metal accumulation using humic acid as a surrogate for plant roots

Cited by 14 publications

References 58 publications

Interactions and Toxicity of Cu–Zn mixtures to Hordeum vulgare in Different Soils Can Be Rationalized with Bioavailability-Based Prediction Models

Interactions and Toxicity of Cu–Zn mixtures to Hordeum vulgare in Different Soils Can Be Rationalized with Bioavailability-Based Prediction Models

Development and Validation of a Biodynamic Model for Mechanistically Predicting Metal Accumulation in Fish-Parasite Systems

Az Erdőmérnöki Kar Tudományos Kiadványa

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