Reverse Osmosis Membrane Engineering: Multidirectional Analysis Using Bibliometric, Machine Learning, Data, and Text Mining Approaches

被引:2
作者
Aytac, Ersin [1 ,2 ]
Khanzada, Noman Khalid [3 ]
Ibrahim, Yazan [3 ,4 ]
Khayet, Mohamed [1 ,5 ]
Hilal, Nidal [3 ]
机构
[1] Univ Complutense Madrid, Fac Phys, Dept Struct Matter Thermal Phys & Elect, Avda Complutense S-N, Madrid 28040, Spain
[2] Zonguldak Bulent Ecevit Univ, Dept Environm Engn, TR-67100 Zonguldak, Turkiye
[3] NYU Abu Dhabi, NYUAD Water Res Ctr, POB 129188, Abu Dhabi, U Arab Emirates
[4] NYU, Chem & Biomol Engn Div, Brooklyn, NY 11201 USA
[5] Madrid Inst Adv Studies Water IMDEA Water Inst, Avda Punto Com N 2, Madrid 28805, Spain
关键词
reverse osmosis; Biblioshiny; Google Gemini; Flesch reading ease score; large language models; reading time score; technical term density; emotion analysis; THIN-FILM NANOCOMPOSITE; CELLULOSE-ACETATE MEMBRANES; POLYAMIDE MEMBRANES; GRAPHENE-OXIDE; INTERFACIAL POLYMERIZATION; SURFACE MODIFICATION; RO MEMBRANE; HIGH-FLUX; ZEOLITE NANOPARTICLES; SILVER NANOPARTICLES;
D O I
10.3390/membranes14120259
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Membrane engineering is a complex field involving the development of the most suitable membrane process for specific purposes and dealing with the design and operation of membrane technologies. This study analyzed 1424 articles on reverse osmosis (RO) membrane engineering from the Scopus database to provide guidance for future studies. The results show that since the first article was published in 1964, the domain has gained popularity, especially since 2009. Thin-film composite (TFC) polymeric material has been the primary focus of RO membrane experts, with 550 articles published on this topic. The use of nanomaterials and polymers in membrane engineering is also high, with 821 articles. Common problems such as fouling, biofouling, and scaling have been the center of work dedication, with 324 articles published on these issues. Wang J. is the leader in the number of published articles (73), while Gao C. is the leader in other metrics. Journal of Membrane Science is the most preferred source for the publication of RO membrane engineering and related technologies. Author social networks analysis shows that there are five core clusters, and the dominant cluster have 4 researchers. The analysis of sentiment, subjectivity, and emotion indicates that abstracts are positively perceived, objectively written, and emotionally neutral.
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页数:35
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