M
M.T.T. Pacheco
Researcher at University of Paraíba Valley
Publications - 25
Citations - 1897
M.T.T. Pacheco is an academic researcher from University of Paraíba Valley. The author has contributed to research in topics: Raman spectroscopy & Chemistry. The author has an hindex of 20, co-authored 22 publications receiving 1745 citations.
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Journal ArticleDOI
Low-Level Laser Therapy Induces Dose-Dependent Reduction of TNFα Levels in Acute Inflammation
Flavio Aimbire,Regiane Albertini,M.T.T. Pacheco,Hugo C. Castro-Faria-Neto,P. S. L. M. Leonardo,Vegard Vereide Iversen,Rodrigo Álvaro Brandão Lopes-Martins,Jan Magnus Bjordal +7 more
TL;DR: LLLT can reduce TNFalpha expression after acute immunocomplex lung injury in rats, but LLLT dose appears to be critical for reducing TNF alpha release.
Journal ArticleDOI
Effect of low-power GaAlAs laser (660 nm) on bone structure and cell activity: an experimental animal study.
Renata A. Nicola,Vanda Jorgetti,Josepa Rigau,M.T.T. Pacheco,Luciene M. dos Reis,Renato Amaro Zângaro +5 more
TL;DR: It is concluded that LLLT increases the activity in bone cells (resorption and formation) around the site of the repair without changing the bone structure.
Journal ArticleDOI
Correlation between near-infrared Raman spectroscopy and the histopathological analysis of atherosclerosis in human coronary arteries.
Landulfo Silveira,Sokki Sathaiah,Renato Amaro Zângaro,M.T.T. Pacheco,Maria Cristina Chavantes,Carlos Augusto Pasqualucci +5 more
TL;DR: The objective of the present study is to obtain feasible diagnostic information to detect atheromatous plaque using NIRS combined with discriminant analysis.
Journal ArticleDOI
Raman spectroscopy in forensic analysis: identification of cocaine and other illegal drugs of abuse
TL;DR: In this article, the use of Raman spectroscopy as a confirmatory method for the identification of cocaine and other drugs of abuse in seized samples, including hidden compounds in legal materials such as beverages and clothes, among others, used for trafficking.
Journal ArticleDOI
Rapid Identification of Bacterial Species by Fluorescence Spectroscopy and Classification Through Principal Components Analysis
TL;DR: In this paper, a method for rapid bacterial identification based on the autofluorescence spectrum was presented, which was demonstrated using principal components analysis (PCA) technique in groups with high likeness, that could identify the bacteria in less than 10 min.