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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Understanding the interaction of multi-walled carbon nanotubes with mutagenic: organic pollutants using computational modeling and biological experiments

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Author(s):
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Umbuzeiro, G. A. [1] ; Coluci, V. R. [1] ; Honorio, J. G. [1] ; Giro, R. [1] ; Morales, D. A. [1] ; Lage, A. S. G. [2] ; Mazzei, J. L. [2] ; Felzenszwalb, I. [2] ; Souza Filho, A. G. [3] ; Stefani, D. [4] ; Alves, O. L. [4]
Total Authors: 11
Affiliation:
[1] Univ Estadual Campinas UNICAMP, Fac Technol, BR-13484332 Limeira, SP - Brazil
[2] Univ Estado Rio de Janeiro UERJ, Inst Biol Roberto Alcantara Gomes, Dept Biofis Biometria, BR-20551030 Rio De Janeiro - Brazil
[3] Univ Fed Ceara UFC, Dept Fis, BR-60455900 Fortaleza, Ceara - Brazil
[4] Univ Estadual Campinas UNICMP, LQES Lab Quim Estado Solido, Inst Quim, BR-13081970 Campinas, SP - Brazil
Total Affiliations: 4
Document type: Journal article
Source: TRAC-TRENDS IN ANALYTICAL CHEMISTRY; v. 30, n. 3, SI, p. 437-446, MAR 2011.
Web of Science Citations: 18
Abstract

Carbon nanotubes (CNTs) are very promising materials to remove pollutants from the environment. To develop safe, efficient technologies, it is necessary to understand the mechanisms of interaction between CNTs and pollutants. This requires innovative, interdisciplinary approaches. Detailed chemical analysis of the CNTs along with computational modeling can provide important information about the mechanisms of interaction. If biological experiments are included in these studies, useful complementary information is obtained. To exemplify the use of this approach, we present a case study in which detailed calculations and the Salmonella mutagenicity assay were applied to elucidate how multi-walled CNTs interact with 1-nitropyrene, an important mutagenic pollutant. (C) 2011 Elsevier Ltd. All rights reserved. (AU)

FAPESP's process: 07/03923-1 - Investigation of carbon nanotube networks using computational simulation
Grantee:Vitor Rafael Coluci
Support type: Research Grants - Young Investigators Grants