Faradaic deionization technology: Insights from bibliometric, data mining and machine learning approaches

Faradaic deionization (FDI) is an emerging water treatment technology based on electrodes able to remove ionic species from water by charge transfer reactions. It is a young and promising technology that has attracted much attention due to its large capacity to store ions and the high selectivity of...

Full description

Bibliographic Details
Authors: Aytaç, Ersin, Fombona-Pascual, Alba, Lado, Julio J., García Quismondo , Enrique, Palma, Jesús, Khayet Souhaimi, Mohamed
Format: article
Publication Date:2023
Country:España
Institution:Universidad Complutense de Madrid (UCM)
Repository:Docta Complutense
Language:English
OAI Identifier:oai:docta.ucm.es:20.500.14352/102965
Online Access:https://hdl.handle.net/20.500.14352/102965
Access Level:Open access
Keyword:536
Biblioshiny
BIRCH clustering algorithm
Faradaic deionization
ISOMAP dimensionality reduction
SBERT
Text mining
Termodinámica
2213 Termodinámica
Description
Summary:Faradaic deionization (FDI) is an emerging water treatment technology based on electrodes able to remove ionic species from water by charge transfer reactions. It is a young and promising technology that has attracted much attention due to its large capacity to store ions and the high selectivity of the faradaic electrode materials. This study reviews published papers on FDI from different angles: data mining, bibliometric and machine learning. Metrics such as annual growth rate, most important journals, relevant authors, collaborations maps, sentiment and subjectivity analysis, similarity and clustering analysis were performed. The results indicated that the strong interest in FDI really started in 2016, China is the most active country in FDI, and Desalination is the most important journal publishing FDI articles. The word cloud method showed that the most preferred adopted words are deionization, capacitive, electrode, material. Sentiment analysis results indicated that most of the researchers are optimistic about FDI technology. The title similarity method revealed that FDI researchers were successful in proposing unique and appropriate titles. The clustering approach stressed that FDI literature is concentrated on electrode material production, desalination application, lithium recovery and comparison with CDI.