Drug delivery polymers: An Analysis Based on Literature Text Mining

Authors

DOI:

https://doi.org/10.55747/bjedis.v1i1.48405

Keywords:

Text mining, Polymer, Drug delivery, Biodegradable, Biocompatible, Data mining

Abstract

Many polymers are used as drug carriers for controlled delivery because of its many advantages. To find the most used polymers for this purpose in recent years, we chose to use Text Mining as an evaluation tool. Text Mining tool was precious in this work to identify the main polymers that contributed to drug delivery, allowing us to draw a map year by year based on correlation analyzes. Firstly, an analysis was made on what was most researched per year, and then what were the most cited polymers. Then the most mentioned polymers were separated and organized to observe which year it was more or less cited. It was found with this work that none of the polymers showed only positive correlations in all years. Besides, polymers did not reveal individual growth in their use over the years. The Text Mining presented here proved to be an efficient and quick way to observe the desired theme and open up possibilities for research in different fields.

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Author Biography

Fernando Gomes de Souza Junior, Universidade Federal do Rio de Janeiro

Associate (III) Prof. Fernando Gomes: Expertise focused in the use of renewable resources and nanocomposites in sensors, drug delivery and environmental recovery. Coordination of more than ten research projects with financial support from Brazilian government sponsoring agencies. Published 160 scientific articles plus 13 accepted for publication during 2021. Published 8 books. Among them,3 chemistry books in Portuguese and 3 books about Biopolymers in English. He has published more than two hundred papers in Conferences and Scientific meetings. Co-convener of the Sixth International Conference on Natural Polymers, Biopolymers and biomaterials: Applications from macro to nanoscale (http://www.biopolymers.macromol.in/), Chairman of the Fifth International Conference on Natural Polymers, Biopolymers and biomaterials: Applications from macro to nanoscale (https://www.icnp2017rio.com/) and Chaiman of the 1st Brazilian Conference on Design of Experiments and Data Analysis (https://sites.google.com/pent.coppe.ufrj.br/conbrapa2020). Supervisor of 128 undergraduate students; 29 M.Sc. students, 14 Ph.D. students and 6 Post Doc. Nowadays I am the supervisor of 11 undergraduate students; 7 M.Sc. students, 10 Ph.D. students and 3 Post Doc. Associate Editor of the MedCrave Online Journal (MOJ) Polymer Science (ISSN: 2574-9773) since 2017. Editor of the Academic Journal of Polymer Science (ISSN: 2641-8282), since 2018. Member of the Editorial Board of Composite Interfaces (ISSN: 0927-6440), since 2021. Member of the editorial board of Current Applied Polymer Science (ISSN 2452-2716) since 2016 and Editor-in-Chief of Current Applied Polymer Science (ISSN 2452-2716) since 2020. Professor Gomes has founded the Brazilian Journal of Experimental Design, Data Analysis and Inferential Statistics in 2021, acting as its 1st Editor-in-Chief. Awardedtwice as Young Scientist of Rio de Janeiro State (FAPERJ 2011 and 2014), Chair Professorship on Nanoscience and Nanotechnology - Mahatma Gandhi University – India (2018), member of Post Graduate Program in Science and Technology of Polymers of the Macromolecules Institute / Federal University of Rio de Janeiro (UFRJ) since 2008, member of Post Graduate Program in Civil Engineering (COPPE/UFRJ) between 2015-2019 and member of Post Graduate Program in Nanotechnology (COPPE/UFRJ) since 2019.

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Published

2021-12-01

Issue

Vol. 1 No. 1 (2021)

Section

Articles

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The authors also declare that there are no conflicts of interest related to this work. All sources of financial support have been properly acknowledged in the funding section of the manuscript.

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