{
  "abstract": "), while residual analysis confirmed its robustness and generalization ability. A MATLAB-based graphical user interface was further developed to enable rapid prediction of photocatalytic performance under different operating conditions. The integration of green-synthesized Ag/MgO NCs with an EEFO-optimized DT-LSBoost model provides a novel and efficient framework for predicting solar-driven diclofenac degradation. This integrated strategy highlights the potential of combining green nanotechnology with explainable machine learning to support the design, optimization, and practical implementation of sustainable photocatalytic water-treatment systems.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": null,
  "author_total": 9,
  "authors": [
    {
      "name": "Sabrina Mechati"
    },
    {
      "name": "Meriem Zamouche"
    },
    {
      "name": "Hichem Tahraoui"
    },
    {
      "name": "Nasreddine Hadjadj"
    },
    {
      "name": "Mohammed Kebir"
    },
    {
      "name": "Sonia Cherif"
    },
    {
      "name": "Jie Zhang"
    },
    {
      "name": "Lotfi Mouni"
    },
    {
      "name": "Abdeltif Amrane"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/1va2df0xzrbp9.bib",
  "cited_by": 1,
  "doi": "10.1039/d6ra06722k",
  "fulltext_url": null,
  "id": "1va2df0xzrbp9",
  "issns": [
    "2046-2069"
  ],
  "landing_url": "https://hal.science/hal-05781147v1",
  "language": "en",
  "licence": "CC-BY",
  "licence_label": "CC BY",
  "licence_source": "journal",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "hal",
      "0.chim"
    ],
    [
      "openalex",
      "2105|Advanced Photocatalysis Techniques"
    ]
  ],
  "openalex": "W7212942953",
  "pdf_url": null,
  "pmcid": null,
  "pmid": "42741589",
  "published": "2026-10-06",
  "publisher": "Royal Society of Chemistry",
  "ris": "https://research.draconitic.com/paper/1va2df0xzrbp9.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:17:49Z",
      "native_id": "hal-05781147",
      "source": "hal",
      "url": "https://hal.science/hal-05781147v1"
    }
  ],
  "subjects": [
    {
      "field": "chemistry",
      "origin": "hal:0.chim",
      "subfield": "general"
    }
  ],
  "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",
  "title_text": "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",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T12:17:49Z",
  "url": "https://research.draconitic.com/paper/1va2df0xzrbp9",
  "venue": "RSC Advances",
  "versions": []
}