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A review on advantages of implementing luminescence inhibition test (Vibrio fischeri) for acute toxicity prediction of chemicals
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Cited by
Photodegradation and toxicity changes of antibiotics in UV and UV/H2O2 process
Yuan, F., Hu, C., Hu, X., Wei, D., Chen, Y., & Qu, J. (2011) · Journal of Hazardous Materials · doi:10.1016/j.jhazmat.2010.10.040 · Cited by 317
Environmental Side Effects of Pharmaceutical Cocktails: What We Know and What We Should Know
Vasquez, M. I., Lambrianides, A., Schneider, M., Kümmerer, K., & Fatta-Kassinos, D. (2014) · Journal of Hazardous Materials · doi:10.1016/j.jhazmat.2014.06.069 · Cited by 295
Toxicity assessment of aqueous extracts of ash from forest fires
Silva, V., Pereira, J. L., Campos, I., Keizer, J. J., Gonçalves, F., & Abrantes, N. (2015) · CATENA · doi:10.1016/j.catena.2014.06.021 · Cited by 101
Aquatic ecotoxicity of ashes from Brazilian savanna wildfires
Brito, D. Q., Passos, C. J. S., Muniz, D. H. F., & Oliveira-Filho, E. C. (2017) · Environmental Science and Pollution Research · doi:10.1007/s11356-017-9578-0 · Cited by 57
Metadata
- Authors
- Parvez, S., Venkataraman, C., & Mukherji, S.
- Venue
- Environment International
- Publisher
- Elsevier BV
- Published
- 2006-02
- Volume
- 32
- Issue
- 2
- Pages
- 265-268
- ISSN
- 0160-4120 (ISSN-L)
- OpenAlex
- W2088781109
- Cited by
- 461
- References
- 0
- FWCI
- 5.65
- Type
- journal article
- Language
- en
- Open access
- green
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- CoChat. (2026). Citation check: A review on advantages of implementing luminescence inhibition test (Vibrio fischeri) for acute toxicity prediction of chemicals. https://app.cochat.ai/papers/10.1016/j.envint.2005.08.022
- The paper
- Parvez, S., Venkataraman, C., & Mukherji, S. (2006). A review on advantages of implementing luminescence inhibition test (Vibrio fischeri) for acute toxicity prediction of chemicals. Environment International. https://doi.org/10.1016/j.envint.2005.08.022
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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.
