Effects of alginate on stability and ecotoxicity of nano-TiO2 in artificial seawater
Introduction
The increasing application of titanium dioxide nanoparticles (nano-TiO2) in consumer products raised environmental, health and safety concerns (Donaldson et al., 2004, Gao et al., 2008, Handy et al., 2008, Ju-Nam and Lead, 2008, Klaine et al., 2008, Nel et al., 2006). The introduction of nano-TiO2 in the environment may occur during its whole life cycle including production, use and disposal (Corsi et al., 2014, Hagendorfer et al., 2010, Kaegi et al., 2010, Kaegi et al., 2008). High concentrations of nano-TiO2 were detected in surface waters (i.e. 10 mg/L) after a simulated rainfall release from outdoor walls (Kaegi et al., 2008). Rain water can be conveyed and treated in wastewater treatment plants, which do not effectively remove nanoparticles from the effluent discharge (Kiser et al., 2009). Nano-TiO2 entering surface freshwater is likely to be stabilised and transported to the sea under conditions of low ionic strength and high levels of natural organic matter (Domingos et al., 2009, Jiang et al., 2009, Keller et al., 2010, Petryshyn et al., 2010, Zhang et al., 2008). Being coastal water and sediment the final sink for nano-TiO2 particles (Gottschalk et al., 2010, Gottschalk et al., 2009), marine organisms-like crustaceans and algae-may be exposed to them. As a consequence, it is necessary to assess the potential hazards of nano-TiO2 for these target species.
According to some standard ecotoxicological protocols (e.g. ASTM, 2004), culture and exposure media for marine organisms, i.e. artificial seawater (ASW), must have about 35‰ salinity and 0.7 M ionic strength generated by a mixture of selected salts. The high salt concentration of ASW and the pH of 8.00–8.40 form favourable conditions for nano-TiO2 to agglomerate and rapidly settle (Keller et al., 2010, Petosa et al., 2010). As a result, the tested organisms are exposed to material concentrations and size distributions dynamically changing over time throughout various non-equilibrium states; these variations affect the generation of robust test results (e.g. realistic concentration–response relationships), as well as their proper interpretation (Hund-Rinke et al., 2010, Kahru and Dubourguier, 2010, Pace et al., 2010, Strigul et al., 2009, Velzeboer et al., 2008).
The introduction of a stabilising agent in the exposure media appears acceptable if the selected substance occurs naturally in the environment and is not hazardous for the tested species. It is well known that natural organic matter (NOM) can stabilise colloids (Tiller and O’melia, 1993). The mechanism was initially thought to be solely an electrostatic repulsion due to the negative charge of the NOM coating (Hunter and Liss, 1982, Beckett and Lee, 1990, Wilkinson et al., 1997). Indeed, it has been shown that there may be a steric component to the stabilisation (Sander et al., 2004). It has also been shown that NOM may also destabilise colloids under certain conditions through bridging flocculation (Wilkinson et al., 1997, Chen et al., 2007).
Other recent investigations suggested the use of organic substances to stabilise nanoparticle dispersions in freshwater media. Several example of stabilisation of carbon based and metal-based nanoparticles by humic substances have been published (Chen and Elimelech, 2007, Diegoli et al., 2008, Abe et al., 2011). Tiraferri et al. (2008) tested guar gum, alginate and potato starch on bare iron nanoparticle (nano-Fe) dispersions. The effect of these polymers was preliminary analysed in the range of 1.3–4.0 g/L in presence of 1 mM NaCl and it was observed that guar gum (0.5 g/L) was more effective in preventing sedimentation of 1.5 g/L nano-Fe under low ionic strength at neutral pH, despite the fact that the other two polymers were not investigated in detail. Liu et al. (2010) reported the effects of Suwannee River humic acid (15 mg/L) and alginate (4.4 mg/L C) on 10–20 nm boron nanoparticles (50 mg/L) in electrolyte solutions. Alginate solutions did not significantly stabilise the dispersions in presence of NaCl (0.05–0.3 M), while in MgCl2 solutions low stabilisation effect was observed (0.5–8 mM), while agglomeration was prevented in CaCl2 solutions in the range 0.5–1.3 mM and enhanced in the range 1.3–10 mM.
In natural waters, the major classes of Natural Organic Matter (NOM) biopolymers are seasonally varying with higher concentrations during and after plankton blooms (Buffle et al., 1998). It is believed that most biopolymeric NOM are exudates from algae and bacteria and are rich in protein and acid polysaccharide components (Aluwihare and Repeta, 1999). The structure of these exudates have been shown to be fibrillar in both freshwater and seawater (Wilkinson et al., 1999, Santschi et al., 1998, Stolpe and Hassellöv, 2009). This rigid fibrillar characteristic in combination with the charge distribution is believed as important both for steric stabilisation and bridging flocs depending on specific conditions. Although the natural exudates are complex mixtures, different model macromolecules have been used in experiments such as alginate, xanthan, gum Arabic and guar gum.
Among natural polysaccharides, alginate occurs as a structural component in marine brown algae (Phaeophyceae) and capsular polysaccharides in soil bacteria; it is a linear chain copolymer consisting of (1→4)-linked α-l-guluronic acid and β-d-mannuronic acid repeating units that are randomly arranged (Andriamanantoanina and Rinaudo, 2010). Alginate is commonly applied as additive in food, pharmacy, agriculture and environmental industries (Ertesvåg and Valla, 1998, Fayaz et al., 2009). The concentration of dissolved organic carbon is well known in seawater and range from as low as 40 µM in the open ocean to several hundred µM in coastal waters with high freshwater input (Pettine et al., 1999). The bulk chemical composition of NOM in seawater revealed that total polysaccharides accounted for approximately 50% of the NOM in surface seawater (Benner et al., 1992), but the different fractions of unaltered macromolecules are much less well quantified due to lack of methods. Another significant source of NOM is the direct effluent discharge into seawater from the sewage treatment plants (STPs) that is one of the major routes for the entry of manufactured nanoparticles in the marine environment being extremely rich in OM both from the sewage and from the exudates of the microbial treatments. It is therefore plausible that the nanomaterials will be exposed to a very high NOM concentration within and shortly after the wastewater treatment before excessive dilution in the receiving water. Recently, about the use of stabilisers in ecotoxicity testing, OECD (2014) stated that the inclusion of NOM into test dilutions and not within stocks is still open to further discussion due to the batch-to-batch required approach; indeed, depending on the type of NOM, engineered nanomaterials (ENMs) can be stabilized or destabilised after NOM adsorption. Currently, no harmonisation of NOM management procedure is available.
The objective of this work is to assess the effectiveness of alginate in stabilising nano-TiO2 in crustacean (ASW-1) and algae exposure media (ASW-2), used in ecotoxicity testing. In particular, the size distribution, agglomeration, and sedimentation behaviour under centrifugal forces of nano-TiO2 particles in the presence of alginate were determined using different polymer concentrations and sonication dispersion periods. The most effective alginate solution, that means the lowest treatment solution to obtain an adequate nano-TiO2 stabilisation, was studied in great detail in order to assess the possibility to introduce some modifications to the toxicity testing exposure media. Ecotoxicity tests on the anostracan crustacean Artemia franciscana and on the unicellular diatom alga Phaeodactylum tricornutum were carried out according to the standard methods APAT and IRSA-CNR (2003) and UNI EN ISO 10253 (2006), respectively. Bioassays assessed the potential ecotoxicological effects of nano-TiO2 dispersed both in the standard media (<5 mg/L total organic carbon) and alginate rich suspensions.
Section snippets
Nanoparticles
Aeroxide® P25 uncoated titanium dioxide powder (declared primary particle size of 21 nm) was obtained from Evonik Degussa Corporation. The material consists of a crystalline state with phase composition of approximately 80% anatase and 20% rutile. The pristine material was stored at room temperature in the dark.
Dispersion media
Ultrahigh-purity water (18.2 MΩ cm minimum resistivity) was produced by a Milli-Q water purification system (Millipore). Two artificial seawater solutions (ASW-1, ASW-2) were used as
Pristine material and exposure media characterisation
Characterisation of the uncoated nano-TiO2 by TEM and selected area electron diffraction (SAED) revealed that the size of the pristine particles ranged between 15 and 60 nm and that the main crystallographic phases were anatase and rutile. A TEM picture of nano-TiO2 from the same batch was already reported by Brunelli et al. (2013). The B.E.T. analysis estimated a specific surface area of 65 m2/g. The nano-TiO2 electrophoretic mobility, determined in ultrahigh-purity basified water, was −10.5 mV
Conclusions
Alginate, as an environmentally occurring biopolymer, acted as an effective stabiliser of uncoated nano-TiO2 dispersions in artificial seawater. A concentration of 0.45 g alginate/L stabilised the nano-TiO2 suspensions maintaining constant exposure conditions over the whole toxicity-testing period. This was also confirmed by the good reproducibility of the size distribution of various nano-TiO2 dispersions.
The ecotoxicity tests carried on with P. tricornutum and A. franciscana showed that the
Acknowledgements
This study was partly funded by Veneto Nanotech S.C.p.A.; the authors gratefully acknowledge Riccardo Cossi (Qi Instruments, Rome) for his technical assistance, and all the colleagues of the University Ca’ Foscari Venice: Chiara Facca, Sonia Ceoldo, Michele Gallo, Davide Marchetto, Andrea Scandella, Andrea Gambaro, Gabriele Capodaglio, Danail Hristozov, for helpful technical suggestions. MH was funded by the Swedish Research Council FORMAS.
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