The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Nanoplastics display strong stability in aqueous environments: Insights from aggregation behaviour and theoretical calculations
Abstract
Nanoplastics are inevitably released into aquatic environments due to their extensive use and the continuous fragmentation of plastics. Therefore, it is imperative to understand the aggregation behaviours that determine the transport and fate of nanoplastics in aquatic environments. In this study, the effects of various metal cations, pH, aging and extracellular polymeric substances (EPS) on the aggregation of polystyrene nanoplastics (nano-PS) in aqueous solutions were systematically evaluated based on aggregation kinetics experiments and Derjaguin-Landau-Verwey-Overbeek (DLVO) theoretical calculation. The concentration, valence and hydration ability of metal cations jointly affected the aggregation of nano-PS. The critical coagulation concentration (CCC) of nano-PS was significantly higher than the ionic strengths in aquatic environments, indicating that the aggregation rate of nano-PS is relatively low in aquatic environments. The results of the aggregation kinetics experiments were consistent with DLVO theory, which showed that the energy barrier of nano-PS was dependent on electrostatic repulsion forces and van der Waals forces, and increased with pH. Nano-PS was artificially aged by UV-H2O2, which reduced the hydrophobic nature of the particle surfaces, consequently enhancing the stability of the nanoplastics. EPS (excreted from Chlorella pyrenoidosa) decreased the aggregation rates of nano-PS due to steric effects, which was confirmed by the extend DLVO model. Our results highlight the high stability of nano-PS in aquatic environments, which could help facilitate the evaluation of their environmental impact.
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Cites
Eerkes-Medrano, D., Thompson, R. C., & Aldridge, D. C. (2015) · Water Research · doi:10.1016/j.watres.2015.02.012 · Cited by 2,638
Jeong, C.-B., Won, E.-J., Kang, H.-M., Lee, M.-C., Hwang, D.-S., Hwang, U.-K., Zhou, B., Souissi, S., Lee, S.-J., & Lee, J.-S. (2016) · Environmental Science & Technology · doi:10.1021/acs.est.6b01441 · Cited by 1,233
Nanoplastic in the North Atlantic subtropical gyre
Ter Halle, A., Jeanneau, L., Martignac, M., Jardé, E., Pedrono, B., Brach, L., & Gigault, J. (2017) · Environmental Science & Technology · doi:10.1021/acs.est.7b03667 · Cited by 897
Erni-Cassola, G., Gibson, M. I., Thompson, R. C., & Christie-Oleza, J. A. (2017) · Environmental Science & Technology · doi:10.1021/acs.est.7b04512 · Cited by 848
Are there nanoplastics in your personal care products?
Hernandez, L. M., Yousefi, N., & Tufenkji, N. (2017) · Environmental Science & Technology Letters · doi:10.1021/acs.estlett.7b00187 · Cited by 700
Jahnke, A., Arp, H. P. H., Escher, B. I., Gewert, B., Gorokhova, E., Kühnel, D., Ogonowski, M., Potthoff, A., Rummel, C., Schmitt-Jansen, M., et al. (2017) · Environmental Science & Technology Letters · doi:10.1021/acs.estlett.7b00008 · Cited by 580
Cai, L., Wang, J., Peng, J., Wu, Z., & Tan, X. (2018) · Science of The Total Environment · doi:10.1016/j.scitotenv.2018.02.079 · Cited by 575
Effects of inorganic ions and natural organic matter on the aggregation of nanoplastics
Cai, L., Hu, L., Shi, H., Ye, J., Zhang, Y., & Kim, H. (2018) · Chemosphere · doi:10.1016/j.chemosphere.2018.01.052 · Cited by 263
Andrady, A. L., Pegram, J. E., & Song, Y. (1993) · Journal of Environmental Polymer Degradation · doi:10.1007/bf01418205 · Cited by 85
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Xu, Y., Ou, Q., van der Hoek, J. P., Liu, G., & Lompe, K. M. (2024) · Environmental Science & Technology · doi:10.1021/acs.est.3c07035 · Cited by 325
Luo, Z., Zhou, X., Su, Y., Wang, H., Yu, R., Zhou, S., Xu, E. G., & Xing, B. (2021) · Science of The Total Environment · doi:10.1016/j.scitotenv.2021.148902 · Cited by 314
Timilsina, A., Adhikari, K., Yadav, A. K., Joshi, P., Ramena, G., & Bohara, K. (2023) · Science of The Total Environment · doi:10.1016/j.scitotenv.2023.164999 · Cited by 104
Wang, L., Hu, Z., Yin, H., Bradford, S. A., Luo, J., & Hou, D. (2023) · Soil Use and Management · doi:10.1111/sum.12849 · Cited by 32
Metadata
- Authors
- Mao, Y., Li, H., Huangfu, X., Liu, Y., & He, Q.
- Venue
- Environmental Pollution
- Publisher
- Elsevier BV
- Published
- 2020-03
- Volume
- 258
- Pages
- 113760
- ISSN
- 0269-7491 (ISSN-L)
- OpenAlex
- W2994137301
- Cited by
- 199
- References
- 9
- FWCI
- 5.45
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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