Studying the Application and Advances of Diffusive Gradients in-Thin Films Techniques (DGTs) to Constrain Mobility and Bioavailability of Heavy Metals in Soils
Georges Martial Ndzana1*, Alex Dortie Kolleh2, Kashif Ali Kubar3, Louis Marie Bondje Bidjeck4, Etienne Bekoa4, Primus Azinwi Tamfuh1,5, Damien Henri Odigui Ahanda4, Thierry Mamert Abodo Koa4, Emile Temgoua2, Monique Abossolo-Angue Abane4, Lucien Dieudonné Bitom1
1Department of Soils Science, Faculty of Agronomy and Agricultural Science, University of Dschang, Dschang, Cameroon.
2Department of Plant and soil Sciences, Faculty of Agriculture and Sustainable Development, Cuttington University Suakoko, Bong County, Republic of Liberia..
3Department of Soil Science, Faculty of Agriculture, Lasbela University of Agriculture, Water and Marine Sciences, Uthal, Balochistan, Pakistan.
4Department of Earth Sciences, Faculty of science, University of Yaounde I, Yaounde, Cameroon.
5Department of Mining and Mineral Engineering, National Higher Polytechnic Institute, University of Bamenda, Bamenda, Cameroon.
DOI: 10.4236/gep.2021.95009   PDF   HTML   XML   175 Downloads   687 Views  


The aim of this review is to investigate the application and latest developments of the Diffusive Gradients in-thin films (DGT) with a focus on the mobility and bioavailability of heavy metals in soil. Soil chemical extractions are extensively used to predict nutrients elements in the soil. However, these measurements have their weaknesses and shortcomings. Comparing DGT with conventional extraction methods, DGT is a sampling technique with significant advantages; including speciation capabilities, sensitivity, time-in- tegrated signal, low risk of contamination and time averaged concentrations. These findings have strengthened the usefulness of the DGT technique as a potential monitoring tool for soil with heavy metal contamination. Studies which have used the DGT technique to evaluate processes important to bioavailability have been booming in the last 13 years, especially its application in soils science. Some recent studies have shown a good relationship between the measurement of metals concentrations in soil and plant by DGT, and cohesive results have been obtained from these measurements when they are based on the DGT technique. DGT is a newly established procedure to assess the bioavailability of trace elements in sediments and soils, and its applications are still in the early stage of testing. Therefore, future application of DGT is likely to include the studies of HMs contamination in soil for risk assessment and transfer rates to the food chain, as some studies have indicated the potential of DGT in these areas.

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Ndzana, G. , Kolleh, A. , Kubar, K. , Bondje Bidjeck, L. , Bekoa, E. , Tamfuh, P. , Odigui Ahanda, D. , Abodo Koa, T. , Temgoua, E. , Abane, M. and Bitom, L. (2021) Studying the Application and Advances of Diffusive Gradients in-Thin Films Techniques (DGTs) to Constrain Mobility and Bioavailability of Heavy Metals in Soils. Journal of Geoscience and Environment Protection, 9, 118-137. doi: 10.4236/gep.2021.95009.

1. Introduction

The mobility of HMs such as Cd, Cu, Pb and Zn, and their bioavailability to sensitive receptors in terrestrial environments, is strongly influenced by separating the metal between the solid and dissolved fractions of the soil (mostly speak of as the Kd) (Dočekalová et al., 2012; Rieuwerts, 2015; Warnken et al., 2006). The measurement of the total metal concentration is not always, or even usually, appropriate for considerations of metal mobility and bioavailability (Dočekalová et al., 2015; Li et al., 2009a; Speir et al., 2007). These metals fractions may occur differently in the soil, and their mobility and bioavailability are governed by physical-chemical soil properties (Glaser et al., 2002) and its chemical compositions (Camobreco et al., 1996). Determining the bioavailability of heavy metal in contaminated environment is a crucial step in risk assessment for metal-polluted soils (Sungur et al., 2015; Wu et al., 2021). Metals toxicity is usually predicted from the relationships with the soil solution concentration, free metal ion in soil solution, or some functionally defined extractable fraction (Athar & Ahmad, 2002; Oorts et al., 2021; Soriano-Disla et al., 2010). It is necessary therefore, to understand the impact of the presence of heavy metals in soils and be able to develop techniques to determine its potential risks from soil contamination. In this context, the Diffusive Gradients in thin-Films (DGT) technique based on the diffusion of metals from the soil solution can be considered as an effective alternative compared to other traditional sampling procedures (Hooda et al., 1999; Zhang et al., 2001).

The use of DGT technique in soils and sediments provides unique information relating to the system dynamic. The DGT technique was developed for in-situ measurements of trace metals elements such as: Cd, Cu, Co, Ni, Pb, Zn (Denney et al., 1999; Gao et al., 2021), which have been used to characterize soils (Cattani et al., 2008; Dočekalová et al., 2012; Nolan et al., 2005; Nowack et al., 2004), and have been extended to the measurement of metal fluxes in sediments and soils (Noh et al., 2016; Zhang et al., 2001). Since the extension of DGT to soils and sediments, the technique has been evaluated extensively in several studies of geochemical and health discipline (Nolan et al., 2005; Zhang et al., 2001). A good Predicting element availability to plants with DGT measurement has been witnessed in numerous studies (Degryse et al., 2009; Pérez and Anderson, 2009; Tandy et al., 2011). From these studies, DGT has been recognized to be suitable for the evaluation of metal bioavailability for plants. Based on the usefulness, the DGT technique has proven to be more accurate and robust than the conventional methods (Conesa et al., 2010). The DGT technique has been shown to be an effective technique for determining labile metal species in soils and sediments (Martin, 2008), and has its application to a broad suite of metals common to mine-influenced environments (e.g., Cu, Ni, Zn, Cd, Pb, Hg). The Metal values obtained using DGT also have been shown to conform reasonably well to predict the labile metal fraction using speciation models (Arevalo-Gardini et al., 2017; Unsworth et al., 2006). However, the work efficiency of DGT flux can reach higher levels when the soils moisture is at the maximum water holding capacity (MWHC) levels. The DGT technique is a relatively simple research tools which allows testing bioavailable metals and help to understand how the biota cooperate with their environment. In this review, the applications and advances of DGT technique in soil are disgussed. The work begins with a brief introduction of the theory of DGT and then discusses the gels used in DGT as a key part, and the recent advances in bioavailability and toxicity of heavy metals assessed by DGT. Finally, the study makes outlook the possible aspects of DGT application in soil in future.

2. Theory of DGT

The DGT technique is based on the involvement of a polypropylene device comprising of two pieces, the piston and the cap. The piston works to support the gel layer that is placed inside the devices; a membrane, diffusive layer and a functional binding layer, which may vary based on the procedures and the targeted analyst being sampled (Menegário et al., 2017; Tafurt-Cardona et al., 2015). The base of the piston and membrane or diffusive layer is enclosed by the cap, which ensures the pathway of ions from the bulk solution to the inner layer through a well-defined area; while the diffusive layer forces ion transport to occur completely by diffusion, thus allowing analyst concentration to be determined (Amauri Antonio Menegário et al., 2017). DGT samplers are very easy to install and easy to use at a reasonable cost. However, detail on installation, deployment time, storage, calibration and other procedures can be varied according to the needs, and environments (Ernstberger et al., 2002; Mengistu, 2009). For the deployment of the devices in soil, the unit is placed in close contact with wet soils using twist and turns methods or inserted into sediments (Hanousek et al., 2016). The labile forms of chemical elements diffuse through the filter and diffusive gel and are absorbed on the binding gel (Zhang and Davison, 2001, 2015). As the unit is being deployed, there is a diffusive boundary layer (DBL) that is formed between the diffusive layers, the diffusive gel and filter membrane and the resolution (Zhang et al., 2014b). After all the deployment time, a linear concentrations gradient is well established between the solution and the binding gel (Martin, 2008; Mason et al., 2005). The DGT technique works with Fick’s first law of diffusion, which monitored the diffusion of dissolved species such as Cd, As, Mn, Cu, Pb, Zn, etc. By adding a membrane-diffusive layer, which could also control and restrict the flux accumulated in an ion-exchange resin (Luo et al., 2010; Zhang et al., 2014b). Assuming the concentration gradient of the ions remains constant during deployment time (t), the flux F (mol·cm−2·s−1) of an ion through the diffusive gel layer is given by (Equation (1)) and the concentration of ions measured by the DGT (CDGT) can be calculated using Equation (2) (Huynh et al., 2012).

F = DC/∆g (1)

CDGT = MgDtA (2)

where D is the diffusion coefficient (cm2·s−1) for a given metal ion, C is the bulk concentration of an ion, A, the area of hydrogel membrane (cm2) exposed to the bulk solution, and M, the mass of metals (ng) accumulated in the diffusive layer over time, t(s).

Until now, various types of materials have been evaluated as diffusive layers within the DGT samplers for the purpose of assessing the labile species of heavy metals in soil (Dočekalová & Divis, 2005; Menegário et al., 2017).

3. Development of Binding Gels for Measurements

As discussed above, the first demonstration of DGT potential as predictor of bioavailability was shown in 1999 (Hooda et al., 1999), and its application for bioavailability assessment in soil is still in its early stage of development. There are several different materials that have been defined and proposed by many researchers for application as DGT binding layers (Table 1). These binding layer however, comprises of solid resins that are combined into a gel matrix, for example, polyacrylamide to form a binding layer (Heidari et al., 2016). In expanding the range of analyst determined in a single DGT deployment, mixed binding layer (Mason et al., 2005), and multiple binding layer (Naylor et al., 2004) samplers have been developed. In order to use solid material as a binding agent within a DGT binding layer, the material must be meaningfully small particle size to allow simple and evenly combined into a gel matrix. As shown in Table 1 with different binding agents, many options are employed to consider which binding layer can be used for a particular geometry. The DGT suitability

Table 1. Development of binding gels for measurements of various dissolved chemicals in soil.

study have revealed that, binding layer suitability depends on the environment in which it will be deployed, with many of the binding layer only appropriate to freshwaters owing to the high concentrations of potentially competing ions present in more complex environments like seawater (Conesa et al., 2010; Panther et al., 2013b). The Solute measured by DGT accurately relies on the strength of interaction with the binding layer. However, these binding layers have been compared with different materials to assess trace metals in sediments and soils. It is not possible to show all the working performances of every binding layer described; only the binding layer which have gained a widespread and application which have stood the test of time are considered. These includes: Chalex-100, ferrihydrate, Metsorb, zirconium dioxide (ZrO2), 3-mercaptopropyl functionalized silica, AG50W-X8 and XAD18. These DGT binding layers have been extensively evaluated with different materials in several researches for trace elements (Fang et al., 2021). This is done to determine whether these binding materials are capable of accumulating analysts of concern (Uptake). For example, (Panther et al., 2010) evaluated Metsorb and Ferrihydrite DGT for measuring dissolved reactive phosphorus in freshwater environment for deployment time up to four days. Their work revealed that, while both techniques (binding layer, ferrihydrite and Metsorb) accurately measured the analysts of concern over the four days deployment period, only Metsorb DGT was capable of measuring the Dissolve Reactive Phosphorus (DRP) in seawater after four-days. However, the ferrihydrite DGT techniques underestimated the DRP in the freshwater by 31%. (Bennett et al., 2010) work revealed that the measurements of Mn by chalex-100 experienced similar limitations in synthetic seawater, underestimating Mn concentration by 49% after four-days of deployment. They concluded that accurate measurement of Mn was possible with longer deployment time, up to 48h. Suggesting that the short-term validations reported in many literatures may not reveal these limitations of the binding layer. Of all the above mentioned DGT binding layers, the chalex-100 DGT have stood the test of time to measure heavy metals in soils. Chalex-100 as a DGT binding layer has proven to be effective in measuring heavy metals in contaminated soils.

4. Resin Gel

Originally, the DGT technique was developed for in situ measurements (Davison & Zhang, 2012; Scally et al., 2003). Since then, the DGT technology has developed rapidly. Significant progress has been made within two aspects of the technology, which include the development of new binding gel and the 2D high-resolution measurements (Davison & Zhang, 2012; Sochaczewski et al., 2007). It is well established that the Chelex resin can take up trace metals, as it contains paired with iminodiacetate ions which act as chelating groups in the binding polyvalent metals ions. Accordingly, the binding agent for the first DGT was the chelex resin (Davison & Zhang, 2012; Mason et al., 2005). After that, the ferrihydrite gel with a strong affinity for phosphorus was used to measure labile phosphorus (Zhang et al., 2014a; Zhang and Davison, 2015) and silver iodide was included in the gel to take up sulphide (Teasdale et al., 1999). However, the radioactive caesium was adsorbed by a gel containing ammonium molybdophosphate (Li et al., 2009b; Murdock et al., 2001; Puy et al., 2014).

4.1. Oxyde Gel

In recent study, (Sun et al., 2014; Zhang et al., 2014a) Zr oxide gel was developed to measure phosphorus and inorganic arsenic with high capacities. The hydrous zirconium oxide (Zr oxide) has been combined with silver iodide to measure both phosphorus and sulphide (Sun et al., 2014; Sun et al., 2013); and combined with Chelex to measure phosphorus and iron (Xu et al., 2013). The mixed Amberlite and ferrihydrite gel has been recently developed to measure potassium and phosphorus (Zhang et al., 2013, 2014b). Recently, it has been found that the capacities of the Zr oxide DGT for As in freshwater and seawater were 5 - 19 times and 3 - 13 times more than those reported for the commonly used ferrihydrite and Metsorb DGTs, respectively (Sun et al., 2014; Zhang and Davison, 2015). In addition, a titanium dioxide gel-assembled DGT has been used to simultaneously measure arsenic, phosphorus and metals in soil (Bennett et al., 2010; Fauvelle et al., 2015; Panther et al., 2013a; Zhang et al., 2014a). The first material used in DGT to fabricate the binding layer was the polyvalent metal chelating resin Chelex-100 (Dočekalová and Divis, 2005). It needs to be mentioned that the DGT method has recently been developed to measure organic and inorganic compounds (Sun et al., 2014; Sun et al., 2013). However, the DGT technique measures directly the mean flux of labile species in soils to the device during deployment. Thus, providing a novel and promising approach for the measurement of bioavailable metal concentrations in soils (Lehto et al., 2006; Zhang and Davison, 2015).

4.2. Other Gels

In addition to measuring individual chemical elements, DGT techniques for concurrent measurements of multiple elements have been established, that is, Zn, Mn, Fe, and As (Naylor et al., 2004; Zhang et al., 2014a). Two separate gels of silver iodide and Chelex-100 were used together to measure sulphide and metals in sediments (Motelica-Heino et al., 2003; Zhang et al., 2014a). A mixed binding layer (MBL) containing a mixture of ferrihydrite and Chelex-100 was developed to measure phosphorus and cations (Mason et al., 2005; Zhang et al., 2014a). Furthermore, various types of materials (e.g. polyacrylamide gel, agarose gel, dialysis membrane, Nafion membrane, chromatography paper and filter paper) have been evaluated as diffusive layers within the DGT samplers (Menegário et al., 2017). Recently, the development of DGT methods has been to use ion imprinted binding layers, wherein the analysts is sorbed to the ligand to improve species retention, this approach has been successfully carried out for Cd (II) Pb(II) (Dong et al., 2014; Stanley et al., 2016; Sui et al., 2016). The development of new binding gels enables DGT technique to analyze diverse analysts in an environment, particularly those of environmental importance (Davison and Zhang, 2012; Huang et al., 2016). In addition, the primary limitations of the technique include the limited functional pH range (pH 5-9) and the limited application to certain metals/metalloids (Divis et al., 2009; Martin, 2008). However, (Galceran and Puy, 2015) show that it is possible to interpret quantitatively the proportions of metals penetrating into the rear of the binding layer in terms of the dissociation kinetics of metal complexes with humic substances using DGT. Even though the application of DGT for metals analyses is well established, it still needs to be extended to other elements. Despite all the above-described DGT advantages on the study of bioavailability, the development of a DGT technique and its validation by an established model for interpreting data obtained from a particular measurement remains a challenge in the study of DGT. Therefore, a comprehensive and standardized DGT method is required to ensure that the DGT results are measured using different binding gels in different environment.

5. Metals Bioavailability and Toxicity in Soil Using DGT

5.1. Bioavailability

The applications of DGT to assess the bioavailability of heavy metals in soils have received attention worldwide. A trend that can be observed linked to the development of new methods based on the DGT technique, is the prediction of available metals based on the comparison of the DGT results with others methods for specific analysts (Menegário et al., 2017). Presently, there is an increasing body of research focusing on the use of the DGT technique for predicting the bioavailability of metals and toxicity (Menegário et al., 2017). The Labile and small complexes of metals are the forms that allowed metal to be able to pass through cell membranes and therefore, they are commonly the most bioavailable and harmful to biota (Turner et al., 2012). However, as these metals are the ones sampled by the DGT technique, some studies have been carried out to assess the possibility to use DGT to predict the bioavailable metals and their toxicity to human (Tandy et al., 2011; Tella et al., 2016). Some recent studies on bioavailable metals in soil using DGT and some plant species (Table 2). The DGT technique has been developed mostly for toxic cationic divalent trace metals but, it has also been expanded to test the bioavailability of plant nutrients such as: phosphate, potassium, uranium, methyl mercury, arsenate, molybdate, and most

Table 2. Examples of recent studies on metals availability in soil using DGT and some.

recently been used to understand the effect of nanoparticles in the soil environment (Davison and Zhang, 2012; Dočekalová et al., 2015; Huang et al., 2017). The concentration of these heavy metals measured by DGT is associated with labile species, including free ions and kinetic resupply of ions from the solid phase, which are considered to be bioavailable (Zhang et al., 1998b). Recently, Zhang and Davison (2015) reviewed the use of DGT for studies of speciation and bioavailability. During this study, however, key reports over decades were examined and discussed, by giving an environmental perspective to the theory of DGT (relating to measurements of metal complexes) and the ability of DGT to obtain in situ information was discussed. In addition, the relationships between DGT measurements in soil and plant uptake were deeply discussed. In order to determine trace element species, the methods based on the DGT technique are mostly used (Menegário et al., 2010; Menegário et al., 2017). While it is true that, DGT might not be expected to be a universal tool to predict bioavailable metals in soil and sediment, for examples, the measurement of labile species have aided predictions to where it have emerged (Degryse et al., 2009; Smolders et al., 2009). In a recent study, (Johnson et al., 2012; Menzies et al., 2005) reported that, the redox-driven layering in sediments makes them a particularly challenging environment for predicting and assessing bioavailability and toxicity, but, again, there are some encouraging recent results (Zhang and Davison, 2000). (Salzberg et al., 2012; Simpson and Batley, 2003) also reported that, there is no single technique that can be expected to imitate the range of processes that may be operating during biological uptake. Many studies involving bioavailability of trace elements to DGT measurement have been investigated thoroughly with focused on the uptake of trace metals such as: Cd, Cu, Zn, Ni and Pb by plants, using standard DGT device with a chelex resin layer, but very few studies have compared bioavailability with DGT for other elements (Shahid et al., 2016; Tandy et al., 2011; Wang et al., 2016). For example, (Wang et al., 2014) measured as concentrations in forty-three different soils collected in China with different extractions procedures, including DGT and soil solution measurement. It was concluded that, the DGT-measured and soil solution concentrations of As give a good prediction of the plant As concentrations and show much better than the acid digestion extraction procedures. It has been recognized by many researchers that, in the conventional methods of testing soil solution, metal speciation may change during sampling and extraction and the kinetics of metal resupply from the solid phase to solution are not considered (Koster et al., 2005; Zhang et al., 2014a). Furthermore, the bioavailability of metals in a given soil is reliant on both, their concentrations in the soil solution and their rate of transport through the soil (Zhang and Davison, 2000; Zhang and Davison, 2001). With little exclusions, most of the reports concerning with DGT and bioavailability in soils have focused on measuring the concentrations rather than uptake fluxes (Ahmed et al., 2013; Luo et al., 2013). Up till now, it has been used by (Mason et al., 2010; Menzies et al., 2005) for predicting yield responses of tomato cultivated at high P levels and for predicting wheat responses to different P fertilizers formulations (Menzies et al., 2005). Recently, (Mason et al., 2010; McBeath et al., 2007) showed that the DGT technique was able to predict the growth response of wheat when cultivated under a range of P conditions.

5.2. Metals Toxicity and DGT

Previous studies by measuring Cd uptake using spinach in solution in the absence or presence of synthetic ligands concluded that, at constant free ion activity and constant total Cd concentration, the uptake of metal increased with increasing dissociation rate of the complex, and correlated well with DGT measured concentrations, which strongly suggest that Cd uptake by spinach was limited by diffusion (Degryse et al., 2012). They further reported that, direct uptake of the complex was predicted to be a major contribution only at milli molar concentrations of the complex or at very large ratios of complex to free ion concentration. The “true Km” for uptake of Cd2+ Zn2+ was estimated at <5 NM. Uptake of Cd by spinach in nutrient solution and the DGT-measured diffusion flux as function of free ion concentration for solutions with 40mMNaNO3 or NaCl. The free ion concentration was identical; the total Cd concentration was threefold larger NaCl solution with 68% of Cd complexes with chloride. Similar observations were made for Cd uptake by rapeseed Brassica napus (Dai et al., 2017; Sungur et al., 2015). Although the uptake is related to the DGT measurements for both plant species, there were differences in uptake between the plant species. In non-buffered solutions, the Cd uptake flux was larger for spinach than for rapeseed. In buffered solutions with slowly dissociating complexes, the uptake flux was larger for rapeseed. The other way of saying this is that, the contribution of the slowly dissociating complexes to the uptake, relative to the contribution of the free ion, was larger for rapeseed than for spinach (Degryse et al., 2012). (Tandy et al., 2011; Wang et al., 2016; Yao et al., 2016) reported that the DGT method predicted the responsiveness of Cd bioavailability in complex contaminated soil. They concluded that the DGT technique is a physical surrogate for plant uptake, thus offering the possibility of a simple test procedure for measurement of bioavailable metals in soil. A few studies have compared Cu concentration with DGT-measured concentrations as well as other potential predictors (Tella et al., 2016). For example, (Sun et al., 2010) examine the total Cu and soil solution concentration. In this study, it was demonstrated that there are strong correlations between DGT and plant concentrations in a wide range of soil for Cu uptake by plants. The author further concluded that, Cu concentration in shoots of wheat were rather weakly correlated with DGT-measured concentrations and were, surprisingly, better correlated with the total Cu in the soil. (Agbenin and Welp, 2012; Balistrieri and Blank, 2008; Luider et al., 2004) compared the labile Cu determined by DGT technique with the uptake of Cu in trout gills. However, it was then concluded that, there was an influence of organic matter in Cu uptake by trout gills as well as Cu concentrations determined by DGT. Similar results were reported for Cu binding to organic matter measured by DGT and fish gill bio-indicators (Luider et al., 2004). Commonly, the plant availability of Cu, Zn, and P in soil is highly dependent on kinetics of release from the solid phase, the DGT technique is expected to be superior to extraction techniques especially when diffusional supply is limited (Larner et al., 2006). So far Cu and Zn have only been measured by this technique in contaminated soil e.g. (Song et al., 2004; Tandy et al., 2011) and not in agricultural soils with trace levels of these elements. DGT assessment of bioavailability is mostly accurate under conditions where the diffusive transport of an element from the soil to the plant roots is rate-limiting for it uptake (Degryse et al., 2009; Zhang et al., 2014a). If the uptake by plant is low, competitive cations may affect the plant uptake, while they have no effect on the DGT flux (Zhang et al., 2014a), whereas the labile complexes do not contribute to the plant uptake but they are measure by the DGT technique. This denotes that, when the plant has little affinity for the element or when the supply is large and the plant uptake is saturated, the DGT flux and plant uptake may not correlate well (Zhang et al., 2014b).

6. Summary and Outlook

The DGT techniques have been considered as a potential monitoring tool for soil with heavy metal contamination. The technique involves using a specialized-designed passive sampler that houses a binding gel, diffusive gel and filter membranes. During deployment, the elements or compounds pass through the membrane filter and diffusive gel and are assimilated by the binding gel in a rate-controlled manner. However, the post-deployment analysis of the binding gel can be used to determine the bulk solution concentrations of elements or compounds using a simple equation. There is no reverse diffusion of the analyst back into the solution which is assumed to occur during deployment of the DGT device. Bearing in mind the difficulty of environmental chemistry, it is not surprising that the ability of DGT to predict bioavailability and toxicity is variables. High solute concentrations are usually associated with conditions of toxicity. There is a substantial literature shows that under these conditions the biotic ligand model applies, which denotes that uptake is affected by the free ion concentration and competition with other ions for the biotic ligand.

In conclusion, there is great promised for the use of DGT in soils, particularly with respect to help understand the uptake processes and for predicting the uptake, or requirements for, nutrients when their concentrations are low, which indicates deficient conditions. As a surrogate of plants, DGT is capable of measuring heavy metal concentrations in the soil. However, DGT is not considered to be a universally tool for the prediction of bioavailability of metals in soil and sediments. Moreover, there is no single technique that is expected to imitate the wide range of processes that may be functioning during biological uptake. DGT is no exclusion, but it does imitate some significant processes that may be dominant in some situations. Future applications of DGT are likely to include the studies of heavy metals contamination in soil for risk assessment and transfer rates to the food chain, as some studies have indicated the potential of DGT in these areas. Further investigation in these areas will help the development of DGT as a tool for assessing metals bioavailability in soils and sediments and the risk associated with its contamination which poses health issues on human and animals. The DGT technique has also been used, in combination with some materials to assess the bioavailability of heavy metals in soils. There is a great promise for the use of DGT in soil, particularly understanding the uptake processes and for predicting the uptake, or requirements for nutrients when the concentrations are low, which indicates deficient conditions

Conflicts of Interest

The authors declare no conflicts of interest regarding the publication of this paper.


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