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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

Chromatographic profiles of Phyllanthus aqueous extracts samples: a proposition of classification using chemometric models

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Autor(es):
Rocha Martins, Lucia Regina [1, 2] ; Pereira-Filho, Edenir Rodrigues [1] ; Cass, Quezia Bezerra [1]
Número total de Autores: 3
Afiliação do(s) autor(es):
[1] Univ Fed Sao Carlos, Dept Chem, BR-13565905 Sao Carlos, SP - Brazil
[2] Technol Fed Univ Paran, Acad Dept Chem & Biol, BR-80230901 Curitiba, Parana - Brazil
Número total de Afiliações: 2
Tipo de documento: Artigo Científico
Fonte: ANALYTICAL AND BIOANALYTICAL CHEMISTRY; v. 400, n. 2, p. 469-481, APR 2011.
Citações Web of Science: 19
Resumo

Taking in consideration the global analysis of complex samples, proposed by the metabolomic approach, the chromatographic fingerprint encompasses an attractive chemical characterization of herbal medicines. Thus, it can be used as a tool in quality control analysis of phytomedicines. The generated multivariate data are better evaluated by chemometric analyses, and they can be modeled by classification methods. ``Stone breaker{''} is a popular Brazilian plant of Phyllanthus genus, used worldwide to treat renal calculus, hepatitis, and many other diseases. In this study, gradient elution at reversed-phase conditions with detection at ultraviolet region were used to obtain chemical profiles (fingerprints) of botanically identified samples of six Phyllanthus species. The obtained chromatograms, at 275 nm, were organized in data matrices, and the time shifts of peaks were adjusted using the Correlation Optimized Warping algorithm. Principal Component Analyses were performed to evaluate similarities among cultivated and uncultivated samples and the discrimination among the species and, after that, the samples were used to compose three classification models using Soft Independent Modeling of Class analogy, K-Nearest Neighbor, and Partial Least Squares for Discriminant Analysis. The ability of classification models were discussed after their successful application for authenticity evaluation of 25 commercial samples of ``stone breaker.{''} (AU)

Processo FAPESP: 05/01721-7 - Caracterização química por métodos cromatográficos e métodos espectroscópicos para o controle de qualidade de matérias-primas e formas farmacêuticas de "quebra-pedra"
Beneficiário:Lucia Regina Rocha Martins
Modalidade de apoio: Bolsas no Brasil - Doutorado