Ramesh Vinayagam , Thivaharan Varadavenkatesan , Raja Selvaraj
{"title":"Tetracycline adsorption research (2015–2025): A bibliometric analysis of trends, challenges, and future directions","authors":"Ramesh Vinayagam , Thivaharan Varadavenkatesan , Raja Selvaraj","doi":"10.1016/j.rineng.2025.106383","DOIUrl":null,"url":null,"abstract":"<div><div>Tetracycline is a commonly used antibiotic that has emerged as a significant environmental contaminant due to its widespread use and persistence in aquatic ecosystems. Its presence in water bodies poses ecological risks and contributes to the growing concern over antibiotic resistance. Among the various treatment technologies, adsorption has gained prominence as a cost-effective and efficient approach for removing tetracycline from contaminated water. This bibliometric review analyzes 567 articles published between 2015 and 2025 retrieved from the Web of Science Core Collection to uncover the scientific trends, influential contributors, research hotspots, and emerging gaps in the field of tetracycline adsorption. Using VOSviewer and Bibliometrix, the study presents a comprehensive visual mapping of publication growth trends, leading countries, institutions, authors, and journals. China, the USA, and India dominate the research output, with significant institutional contributions from Hunan University and Anhui Agricultural University. “Desalination and Water Treatment” and “Bioresource Technology” are identified as prominent journals, with the latter having 2236 citations. Keyword co-occurrence and thematic evolution analyses highlight trending materials like magnetic biochar and metal-organic frameworks. Additionally, it highlighted underexplored areas, including computational modeling, Artificial Intelligence/Machine Learning integration, and continuous adsorption. The findings offer a holistic understanding of the current research landscape and provide strategic directions for advancing future studies in tetracycline adsorption for environmental sustainability.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"27 ","pages":"Article 106383"},"PeriodicalIF":6.0000,"publicationDate":"2025-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Results in Engineering","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2590123025024545","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
Tetracycline is a commonly used antibiotic that has emerged as a significant environmental contaminant due to its widespread use and persistence in aquatic ecosystems. Its presence in water bodies poses ecological risks and contributes to the growing concern over antibiotic resistance. Among the various treatment technologies, adsorption has gained prominence as a cost-effective and efficient approach for removing tetracycline from contaminated water. This bibliometric review analyzes 567 articles published between 2015 and 2025 retrieved from the Web of Science Core Collection to uncover the scientific trends, influential contributors, research hotspots, and emerging gaps in the field of tetracycline adsorption. Using VOSviewer and Bibliometrix, the study presents a comprehensive visual mapping of publication growth trends, leading countries, institutions, authors, and journals. China, the USA, and India dominate the research output, with significant institutional contributions from Hunan University and Anhui Agricultural University. “Desalination and Water Treatment” and “Bioresource Technology” are identified as prominent journals, with the latter having 2236 citations. Keyword co-occurrence and thematic evolution analyses highlight trending materials like magnetic biochar and metal-organic frameworks. Additionally, it highlighted underexplored areas, including computational modeling, Artificial Intelligence/Machine Learning integration, and continuous adsorption. The findings offer a holistic understanding of the current research landscape and provide strategic directions for advancing future studies in tetracycline adsorption for environmental sustainability.