Evidence map›Paper›PMID 37906318›Full record

ReviewTopics in current chemistry (Cham)2023

Principles of Photocatalysts and Their Different Applications: A Review.

Mohamed A Hassaan, Mohamed A El-Nemr, Marwa R Elkatory, Safaa Ragab, Violeta-Carolina Niculescu, Ahmed El Nemr

Abstract readReview
In one paragraph

Review in Topics in current chemistry (Cham), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

43 citing papers in PubMed.

  1. Article
  2. ZrORSC advances · 2026
    Review
  3. Article
  4. Review
  5. Article
  6. α-C-H Functionalization of Benzylamines: A Crucial Yet Challenging Transformation.Chemistry (Weinheim an der Bergstrasse, Germany) · 2026
    Review
  7. Highly efficient TiORSC advances · 2026
    Article
  8. A BiVONanoscale advances · 2026
    Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Decoration of MnFeRSC advances · 2026
    Article
  15. Review
  16. Article
  17. Article
  18. Review
  19. Review
  20. High-Throughput Photocatalysis for Generating Reliable Datasets Analyzed by Machine Learning.Chemphyschem : a European journal of chemical physics and physical chemistry · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Mohamed A HassaanMarine Pollution Department, Environment Division, National Institute of Oceanography and Fisheries (NIOF), Kayet Bey, Elanfoushy, 21556, Alexandria, Egypt. mhss95@mail.com.
Mohamed A El-NemrDepartment of Chemical Engineering, Faculty of Engineering, Minia University, Minia, 61519, Egypt.
Marwa R ElkatoryAdvanced Technology and New Materials Research Institute, SRTA-City, New Borg El-Arab City, 21934, Alexandria, Egypt.
Safaa RagabMarine Pollution Department, Environment Division, National Institute of Oceanography and Fisheries (NIOF), Kayet Bey, Elanfoushy, 21556, Alexandria, Egypt.
Violeta-Carolina NiculescuNational Research and Development Institute for Cryogenic and Isotopic Technologies-ICSI Rm. Valcea, 4th Uzinei Street, 240050, Valcea, Romania.
Ahmed El NemrMarine Pollution Department, Environment Division, National Institute of Oceanography and Fisheries (NIOF), Kayet Bey, Elanfoushy, 21556, Alexandria, Egypt. ahmedmoustafaelnemr@yahoo.com.ORCID http://orcid.org/0000-0003-2373-5846

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human existence and societal growth are both dependent on the availability of clean and fresh water. Photocatalysis is a type of artificial photosynthesis that uses environmentally friendly, long-lasting materials to address energy and environmental issues. There is currently a considerable demand for low-cost, high-performance wastewater treatment equipment. By changing the structure, size, and characteristics of nanomaterials, the use of nanotechnology in the field of water filtration has evolved dramatically. Semiconductor-assisted photocatalysis has recently advanced to become among the most promising techniques in the fields of sustainable energy generation and ecological cleanup. It is environmentally beneficial, cost-effective, and strictly linked to the zero waste discharge principle used in industrial effluent treatment. Owing to the reduction or removal of created unwanted byproducts, the green synthesis of photoactive nanomaterial is more beneficial than chemical synthesis approaches. Furthermore, unlike chemical synthesis methods, the green synthesis method does not require the use of expensive, dangerous, or poisonous ingredients, making it a less costly, easy, and environmental method for photocatalyst synthesis. This work focuses on distinct greener synthesis techniques utilized for the production of new photocatalysts, including metals, metal doped-metal oxides, metal oxides, and plasmonic nanostructures, including the application of artificial intelligence and machine learning to the design and selection of an innovative photocatalyst in the context of energy and environmental challenges. A brief overview of the industrial and environmental applications of photocatalysts is also presented. Finally, an overview and recommendations for future research are given to create photocatalytic systems with greatly improved stability and efficiency.

Indexed as

Artificial IntelligenceNanostructuresHumansIndustryMachine LearningOxidesOxidesArtificial intelligenceCO2 reductionDoped metal oxidesH2 productionPhotocatalystPlasmonic nanostructures

Identifiers

PMID37906318
PMCPMC10618379

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.