Natural products from Brazilian biodiversity as a source of new models for medicinal chemistry

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Molecular physicochemical parameters predicting antioxidant activity of Brazilian natural products

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Metabolite fingerprint of "capim dourado" (Syngonanthus nitens), a basis of Brazilian handcrafts

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

GC Fingerprints Coupled to Pattern-Recognition Multivariate SIMCA Chemometric Analysis for Brazilian Gasoline Quality Studies

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Chemometrics in fuel science: demonstration of the feasibility of chemometrics analyses applied to physicochemical parameters to screen solvent tracers in Brazilian commercial gasoline

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Screening Brazilian commercial gasoline quality by hydrogen nuclear magnetic resonance spectroscopic fingerprintings and pattern-recognition multivariate chemometric analysis

The identification of gasoline adulteration by organic solvents is not an easy task, because compounds that constitute the solvents are already in gasoline composition. In this work, the combination of Hydrogen Nuclear Magnetic Resonance ((1)H NMR) spectroscopic fingerprintings with pattern-recognition multivariate Soft Independent Modeling of Class Analogy (SIMCA) chemometric analysis provides an original and alternative approach to screening Brazilian commercial gasoline quality in a Monitoring Program for Quality Control of Automotive Fuels. SIMCA was performed on spectroscopic fingerprints to classify the quality of representative commercial gasoline samples selected by Hierarchical Cluster Analysis (HCA) and collected over a 6-month period from different gas stations in the São Paulo state, Brazil. Following optimized the (1)H NMR-SIMCA algorithm, it was possible to correctly classify 92.0% of commercial gasoline samples, which is considered acceptable. The chemometric method is recommended for routine applications in Quality-Control Monitoring Programs, since its measurements are fast and can be easily automated. Also, police laboratories could employ this method for rapid screening analysis to discourage adulteration practices. (C) 2010 Elsevier B.V. All rights reserved.

Screening of Brazilian plants for antimicrobial and dnadamaging activities: I. Atlantic rain forest . Ecological station juréia-itatins

(Triagem de plantas nativas do Brasil para atividades antimicrobiana e de Danos no DNA I. Mata Atlântica . Estação Ecológica Juréia-Itatins). Oitenta e oito espécies nativas do estado de São Paulo foram coletadas numa região de Mata Atlântica e ensaiadas quanto a sua atividade antimicrobiana e capacidade de causar danos no DNA. Dos 114 extratos submetidos aos ensaios para atividade antibacteriana, apenas os extratos de folhas e galhos de Aspidosperma ramiflorum (Apocynaceae) apresentaram uma atividade fraca contra Escherichia coli. No ensaio antifúngico com Candida albicans, não foram observados extratos ativos. Por outro lado, no ensaio de bioautografia com Cladosporium sphaerospermum e C. cladosporioides 12% dos extratos apresentaram atividade. Contudo, nesse ensaio, somente o extrato dos ramos de Psychotria mapoureoides (Rubiaceae) inibiu fortemente o crescimento de ambas espécies do fungo. O ensaio para danos no DNA com cepas mutantes de Saccharomyces cerevisiae apresentou 17.5 % de extratos ativos. A maioria dos extratos ativos (55 %) apresentou resultados seletivos para danos dependentes da topoisomerase II como mecanismo de reparo do DNA e somente 20 % foram seletivos para o mecanismo da topoisomerase I.

Screening for antifungal, DNA-damaging and anticholinesterasic activities of Brazilian plants from the Atlantic Rainforest: Ilha do Cardoso State Park

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Trypanocidal activity of Brazilian plants against epimastigote forms from Y and Bolivia strains of Trypanosoma cruzi

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Multivariate calibrations in gas chromatographic profiles for prediction of several physicochemical parameters of Brazilian commercial gasoline

Several Brazilian commercial gasoline physicochemical parameters, such as relative density, distillation curve (temperatures related to 10%, 50% and 90% of distilled volume, final boiling point and residue), octane numbers (motor and research octane number and anti-knock index), hydrocarbon compositions (olefins, aromatics and saturates) and anhydrous ethanol and benzene content was predicted from chromatographic profiles obtained by flame ionization detection (GC-FID) and using partial least square regression (PLS). GC-FID is a technique intensively used for fuel quality control due to its convenience, speed, accuracy and simplicity and its profiles are much easier to interpret and understand than results produced by other techniques. Another advantage is that it permits association with multivariate methods of analysis, such as PLS. The chromatogram profiles were recorded and used to deploy PLS models for each property. The standard error of prediction (SEP) has been the main parameter considered to select the "best model". Most of GC-FID-PLS results, when compared to those obtained by the Brazilian Government Petroleum, Natural Gas and Biofuels Agency - ANP Regulation 309 specification methods, were very good. In general, all PLS models developed in these work provide unbiased predictions with lows standard error of prediction and percentage average relative error (below 11.5 and 5.0, respectively). (C) 2007 Elsevier B.V. All rights reserved.