Biofuels and Nanocatalysts: Python Boosting Visualization of Similarities
Among the most relevant themes of modernity, using renewable resources to produce biofuels attracts several countries’ attention, constituting a vital part of the global geopolitical chessboard since humanity’s energy needs will grow faster and faster. Fortunately, advances in personal computing ass...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-01-01
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| Series: | Materials |
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| Online Access: | https://www.mdpi.com/1996-1944/16/3/1175 |
| _version_ | 1797623904034881536 |
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| author | Fernando Gomes Souza Kaushik Pal Jeffrey Dankwa Ampah Maria Clara Dantas Aruzza Araújo Fabíola Maranhão Priscila Domingues |
| author_facet | Fernando Gomes Souza Kaushik Pal Jeffrey Dankwa Ampah Maria Clara Dantas Aruzza Araújo Fabíola Maranhão Priscila Domingues |
| author_sort | Fernando Gomes Souza |
| collection | DOAJ |
| description | Among the most relevant themes of modernity, using renewable resources to produce biofuels attracts several countries’ attention, constituting a vital part of the global geopolitical chessboard since humanity’s energy needs will grow faster and faster. Fortunately, advances in personal computing associated with free and open-source software production facilitate this work of prospecting and understanding complex scenarios. Thus, for the development of this work, the keywords “biofuel” and “nanocatalyst” were delivered to the Scopus database, which returned 1071 scientific articles. The titles and abstracts of these papers were saved in Research Information Systems (RIS) format and submitted to automatic analysis via the Visualization of Similarities Method implemented in VOSviewer 1.6.18 software. Then, the data extracted from the VOSviewer were processed by software written in Python, which allowed the use of the network data generated by the Visualization of Similarities Method. Thus, it was possible to establish the relationships for the pair between the nodes of all clusters classified by Link Strength Between Items or Terms (LSBI) or by year. Indeed, other associations should arouse particular interest in the readers. However, here, the option was for a numerical criterion. However, all data are freely available, and stakeholders can infer other specific connections directly. Therefore, this innovative approach allowed inferring that the most recent pairs of terms associate the need to produce biofuels from microorganisms’ oils besides cerium oxide nanoparticles to improve the performance of fuel mixtures by reducing the emission of hydrocarbons (HC) and oxides of nitrogen (NOx). |
| first_indexed | 2024-03-11T09:35:29Z |
| format | Article |
| id | doaj.art-5f6e95df6f5c43bea3cb54fa0d33cfa5 |
| institution | Directory Open Access Journal |
| issn | 1996-1944 |
| language | English |
| last_indexed | 2024-03-11T09:35:29Z |
| publishDate | 2023-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Materials |
| spelling | doaj.art-5f6e95df6f5c43bea3cb54fa0d33cfa52023-11-16T17:18:15ZengMDPI AGMaterials1996-19442023-01-01163117510.3390/ma16031175Biofuels and Nanocatalysts: Python Boosting Visualization of SimilaritiesFernando Gomes Souza0Kaushik Pal1Jeffrey Dankwa Ampah2Maria Clara Dantas3Aruzza Araújo4Fabíola Maranhão5Priscila Domingues6Biopolymers & Sensors Lab, Instituto de Macromoléculas Professora Eloisa Mano, Centro de Tecnologia-Cidade Universitária, Universidade Federal de Rio de Janeiro, Rio de Janeiro 21941-914, RJ, BrazilUniversity Center for Research and Development (UCRD), Department of Physics, Chandigarh University, Ludhiana–Chandigarh State Hwy, Mohali 140413, Punjab, IndiaSchool of Mechanical Engineering, Tianjin University, Tianjin 300072, ChinaBiopolymers & Sensors Lab, Programa de Engenharia da Nanotecnologia, COPPE, Centro de Tecnologia-Cidade Universitária, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-914, RJ, BrazilLABPROBIO, Institute of Chemistry, Universidade Federal do Rio Grande do Norte, Natal 59078-970, RN, BrazilBiopolymers & Sensors Lab, Instituto de Macromoléculas Professora Eloisa Mano, Centro de Tecnologia-Cidade Universitária, Universidade Federal de Rio de Janeiro, Rio de Janeiro 21941-914, RJ, BrazilBiopolymers & Sensors Lab, Programa de Engenharia da Nanotecnologia, COPPE, Centro de Tecnologia-Cidade Universitária, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-914, RJ, BrazilAmong the most relevant themes of modernity, using renewable resources to produce biofuels attracts several countries’ attention, constituting a vital part of the global geopolitical chessboard since humanity’s energy needs will grow faster and faster. Fortunately, advances in personal computing associated with free and open-source software production facilitate this work of prospecting and understanding complex scenarios. Thus, for the development of this work, the keywords “biofuel” and “nanocatalyst” were delivered to the Scopus database, which returned 1071 scientific articles. The titles and abstracts of these papers were saved in Research Information Systems (RIS) format and submitted to automatic analysis via the Visualization of Similarities Method implemented in VOSviewer 1.6.18 software. Then, the data extracted from the VOSviewer were processed by software written in Python, which allowed the use of the network data generated by the Visualization of Similarities Method. Thus, it was possible to establish the relationships for the pair between the nodes of all clusters classified by Link Strength Between Items or Terms (LSBI) or by year. Indeed, other associations should arouse particular interest in the readers. However, here, the option was for a numerical criterion. However, all data are freely available, and stakeholders can infer other specific connections directly. Therefore, this innovative approach allowed inferring that the most recent pairs of terms associate the need to produce biofuels from microorganisms’ oils besides cerium oxide nanoparticles to improve the performance of fuel mixtures by reducing the emission of hydrocarbons (HC) and oxides of nitrogen (NOx).https://www.mdpi.com/1996-1944/16/3/1175nanocatalystbiodieseloilproductionreactiondata mining |
| spellingShingle | Fernando Gomes Souza Kaushik Pal Jeffrey Dankwa Ampah Maria Clara Dantas Aruzza Araújo Fabíola Maranhão Priscila Domingues Biofuels and Nanocatalysts: Python Boosting Visualization of Similarities Materials nanocatalyst biodiesel oil production reaction data mining |
| title | Biofuels and Nanocatalysts: Python Boosting Visualization of Similarities |
| title_full | Biofuels and Nanocatalysts: Python Boosting Visualization of Similarities |
| title_fullStr | Biofuels and Nanocatalysts: Python Boosting Visualization of Similarities |
| title_full_unstemmed | Biofuels and Nanocatalysts: Python Boosting Visualization of Similarities |
| title_short | Biofuels and Nanocatalysts: Python Boosting Visualization of Similarities |
| title_sort | biofuels and nanocatalysts python boosting visualization of similarities |
| topic | nanocatalyst biodiesel oil production reaction data mining |
| url | https://www.mdpi.com/1996-1944/16/3/1175 |
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