{
  "abstract": "This study employs a novel integration of Computer Vision (CV) and Deep Learning (DL) algorithms (CNN/RNN-LSTM algorithm) to investigate the acidity and photocatalytic performance of a green nanocatalyst: copper oxide nanoparticles supported on sodalite nanozeolite (nSOD@CuO-NPs). The nanocatalyst, synthesized using Camelia sinensis (green tea) extract, was characterized, revealing the sodalite, tenorite, and cuprite phases and a good compromise between surface area and stability. The NH 3 -TPD analysis indicated a presence of weak-to-moderate acidity of the nanocatalysts and a significant reduction in the density of acid sites upon CuO-NPs loading, decreasing from Ns = 135 µmol NH3 g -1 catalyst (nSOD) to Ns = 58 µmol NH 3 g -1 catalyst (nSOD@CuO-NPs), probably due to occupation/blockage of nanozeolite active sites by the nanoparticles. This modification suggests a plausible transition from BrØnsted-dominant to Lewis-dominant acidity, potentially enhancing oxidation reactions. Exploratory Data Analysis (EDA) of heterogeneous photocatalysis assays demonstrated that nSOD@CuO-NPs achieved 82% removal of a highly concentrated (70 L -1 ) binary mixture of Crystal Violet (CV) and Methylene Blue (MB) dyes after 240 min at an optimal concentration of 0.8 L -1 and neutral pH. The DL/CV model generated a 3D morphology with an acidity heat map, enabling the proposal of a comprehensive photocatalytic degradation mechanism under visible light, highlighting the critical role of Cu-based Lewis acid sites and the generated ROS in the degradation pathway. A subsequent kinetic study on the main byproduct, aniline, showed an 89.6% removal, confirming the promising photocatalytic activity of the nSOD@CuO-NPs for complete wastewater treatment. • A green copper oxide nanoparticles supported on sodalite nanozeolite was synthesized. • The photocatalytic activity of nSOD@CuO-NPs in a bicomponent system was investigated. • Up to 82% degradation was achieved for CV:MB dye mixture (70 L -1 ) after 240 min • nSOD@CuO-NPs’ acid sites distribution was explored by CNN/RNN-LSTM algorithms. • The acidity of nSOD@CuO-NPs nanocatalyst was explored by NH 3 -TPD and CV/DL analysis.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": null,
  "author_total": 5,
  "authors": [
    {
      "name": "Leandro Rodrigues Oviedo"
    },
    {
      "name": "Vinícius Rodrigues Oviedo"
    },
    {
      "name": "Gabriela Carvalho Collazzo"
    },
    {
      "name": "Camila Abreu Teles"
    },
    {
      "name": "William Leonardo da Silva"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/71cqhby813ygw.bib",
  "cited_by": 1,
  "doi": "10.1016/j.apmt.2026.103203",
  "fulltext_url": null,
  "id": "71cqhby813ygw",
  "issns": [
    "2352-9407"
  ],
  "landing_url": "https://hal.science/hal-05732312v1",
  "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"
    ],
    [
      "hal",
      "1.chim.cata"
    ],
    [
      "hal",
      "1.chim.mate"
    ],
    [
      "openalex",
      "2105|Advanced Photocatalysis Techniques"
    ]
  ],
  "openalex": "W7148234576",
  "pdf_url": null,
  "pmcid": null,
  "pmid": null,
  "published": "2026-08-31",
  "publisher": "Elsevier",
  "ris": "https://research.draconitic.com/paper/71cqhby813ygw.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:17:21Z",
      "native_id": "hal-05732312",
      "source": "hal",
      "url": "https://hal.science/hal-05732312v1"
    }
  ],
  "subjects": [
    {
      "field": "chemistry",
      "origin": "hal:1.chim.cata",
      "subfield": "catalysis"
    },
    {
      "field": "chemistry",
      "origin": "hal:1.chim.mate",
      "subfield": "materials-polymers"
    }
  ],
  "title": "Exploring the photocatalytic activity and acidity of nanocatalyst based on green copper oxide nanoparticles and nanozeolites: Exploratory Data Analysis, Computer Vision and Deep Learning",
  "title_text": "Exploring the photocatalytic activity and acidity of nanocatalyst based on green copper oxide nanoparticles and nanozeolites: Exploratory Data Analysis, Computer Vision and Deep Learning",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T12:17:21Z",
  "url": "https://research.draconitic.com/paper/71cqhby813ygw",
  "venue": "Applied Materials Today",
  "versions": []
}