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Removal of Cr(VI) from aqueous solutions using pre-consumer processing agricultural waste: A case study of rice husk
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Citations
Cited by
Recent advances on pollutants removal by rice husk as a bio-based adsorbent: A critical review
Shamsollahi, Z., & Partovinia, A. (2019) · Journal of Environmental Management · doi:10.1016/j.jenvman.2019.05.145 · Cited by 258
Singha, B., & Das, S. K. (2011) · Colloids and Surfaces B: Biointerfaces · doi:10.1016/j.colsurfb.2011.01.004 · Cited by 254
An overview of chromium removal techniques from tannery effluent
Nur-E-Alam, M., Mia, M. A. S., Ahmad, F., & Rahman, M. M. (2020) · Applied Water Science · doi:10.1007/s13201-020-01286-0 · Cited by 246
Application of agro-waste rice husk ash for the removal of phosphate from the wastewater
Mor, S., Chhoden, K., & Ravindra, K. (2016) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2016.03.088 · Cited by 215
Guo, Q., Majeed, S., Xu, R., Zhang, K., Kakade, A., Khan, A., Hafeez, F. Y., Mao, C., Liu, P., & Li, X. (2019) · Journal of Environmental Management · doi:10.1016/j.jenvman.2019.03.104 · Cited by 155
Metadata
- Authors
- Bansal, M., Garg, U., Singh, D., & Garg, V. K.
- Venue
- Journal of Hazardous Materials
- Publisher
- Elsevier BV
- Published
- 2009-02
- Volume
- 162
- Issue
- 1
- Pages
- 312-320
- ISSN
- 0304-3894 (ISSN-L)
- OpenAlex
- W2032840138
- Cited by
- 250
- References
- 0
- FWCI
- 13.96
- Type
- journal article
- Language
- en
- Open access
- closed
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- This page
- CoChat. (2026). Citation check: Removal of Cr(VI) from aqueous solutions using pre-consumer processing agricultural waste: A case study of rice husk. https://app.cochat.ai/papers/10.1016/j.jhazmat.2008.05.037
- The paper
- Bansal, M., Garg, U., Singh, D., & Garg, V. K. (2009). Removal of Cr(VI) from aqueous solutions using pre-consumer processing agricultural waste: A case study of rice husk. Journal of Hazardous Materials. https://doi.org/10.1016/j.jhazmat.2008.05.037
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
