A metadata survey of photothermal membranes for solar-driven membrane distillation

Ersin Aytaç, Farah Ejaz Ahmed, Faissal Aziz, Mohamed Khayet, Nidal Hilal

Research output: Contribution to journalArticlepeer-review

Abstract

With the rapid advancement of effective photothermal materials, photothermal membrane distillation (P-MD) has emerged as a new technology for water treatment using solar energy. This technology captures large amounts of solar energy and localizes heating on the membrane-feed water interface using photothermal effects. This research analyses P-MD membrane engineering articles from multiple standpoints using machine learning (ML), data mining (DM), and bibliometrics. The results show the outlines (number of authors, annual growth rate, average citations, etc.) and details (influential authors, countries, articles, social networks, metrics, sentiment, emotion, objectivity, similarity, etc.) of 102 articles published between 2017–2024. We find that 385 authors contribute to the P-MD membrane engineering field, 44 journals are identified, and the average global citation per article is 41.66. Most articles (23) were published in 2022. Based on different metrics, Dr. Li Q. is the leader in the field. 5 core clusters were identified in the country analysis. Authors have a positive sentiment about P-MD membrane engineering, and their writing language is objective and emotion-free (neutral).

Original languageEnglish (US)
Article number132565
JournalSeparation and Purification Technology
Volume364
DOIs
StatePublished - Aug 30 2025

Keywords

  • Bibliometric analysis
  • Machine learning
  • Natural language processing
  • Photothermal material
  • Solar energy
  • Zero-shot classification

ASJC Scopus subject areas

  • Analytical Chemistry
  • Filtration and Separation

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