Green synthesis of Ag/MgO nanocomposites from red pepper seed waste for efficient sunlight-driven diclofenac degradation: experimental investigation and EEFO-optimized DT_LSBoost predictive modeling.
- DOI
- 10.1039/d6ra06722k
- Published
- 2026 Sep 14
- Container
- RSC advances
- Publisher
- Not recorded
- Open access
- yes
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BibTeX
@article{allodium:10.1039/d6ra06722k,
title = {Green synthesis of Ag/MgO nanocomposites from red pepper seed waste for efficient sunlight-driven diclofenac degradation: experimental investigation and EEFO-optimized DT\_LSBoost predictive modeling.},
author = {Mechati S and Zamouche M and Tahraoui H and Hadjadj N and Kebir M and Cherif S and Zhang J and Mouni L and Amrane A},
year = {2026},
journal = {RSC advances},
doi = {10.1039/d6ra06722k},
url = {https://doi.org/10.1039/d6ra06722k}
}RIS
TY - JOUR TI - Green synthesis of Ag/MgO nanocomposites from red pepper seed waste for efficient sunlight-driven diclofenac degradation: experimental investigation and EEFO-optimized DT_LSBoost predictive modeling. AU - Mechati S AU - Zamouche M AU - Tahraoui H AU - Hadjadj N AU - Kebir M AU - Cherif S AU - Zhang J AU - Mouni L AU - Amrane A PY - 2026 JO - RSC advances DO - 10.1039/d6ra06722k UR - https://doi.org/10.1039/d6ra06722k ER -
APA
S, M., M, Z., H, T., N, H., M, K., S, C., J, Z., L, M., & A, A. (2026). Green synthesis of Ag/MgO nanocomposites from red pepper seed waste for efficient sunlight-driven diclofenac degradation: experimental investigation and EEFO-optimized DT_LSBoost predictive modeling.. RSC advances. https://doi.org/10.1039/d6ra06722k
Source records
- pubmed · retrieved 2026-09-25T08:07:29.110Z