Silgia Aparecida da Costa
University of São Paulo
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Publication
Featured researches published by Silgia Aparecida da Costa.
Journal of Chromatography B: Biomedical Sciences and Applications | 2000
Silgia Aparecida da Costa; Adalberto Pessoa; Inês Conceição Roberto
This work evaluates the influences of five parameters (pH, PEG molecular mass, PEG concentration, concentration of buffer K2HPO4-KH2PO4 and NaCl concentration) on xylanolitic complex partitioning produced by P. janthinellum in aqueous two-phase systems, using a 2(5) factorial experimental design. A mathematical model to quantify the influence of these parameters was attained and statistically tested. The optimum point for total protein extraction was obtained under the following conditions: pH 7.0, PEG 10 000, 3.67% PEG, 10% potassium phosphate and 12.4% NaCl. The partition coefficient (K) value experimentally obtained was 5.25 and that predicted by the model was 5.89.
Applied Biochemistry and Biotechnology | 1998
Silgia Aparecida da Costa; Adalberto Pessoa; Inês Conceição Roberto
The partitioning of xylanase produced byPenicillium janthinellum in aqueous two-phase systems (ATPS) using poly(ethylene glycol) (PEG) and phosphate (K2HPO4/KH2PO4) was studied employing a statistical experimental design. The aim was to identify the key factors governing xylanase partitioning. The interactions of five factors (PEG concentration molecular weight, concentration of buffer K2HPO4/KH2PO4, pH, and NaCl concentration) and their main effects on the partition coefficient (K) were evaluated by means of a 25 full-factorial experimental design with four center points. The %PEG, %NaCl, and pH were the most important factors affecting the response variable (K). Response surface methodology (RSM) was adopted and an empirical second-order polynomial model was constructed on the basis of the results. The optimum partition conditions were pH 7.0, PEG = 8.83% and NaCl = 6.02%. Adequacy of the model for predicting optimum response value was tested under these conditions. The experimental xylanase partition coefficient (K) was 2.21, whereas its value predicted by the model was 2.33. These results indicate that the predicted model was adequate for the process. PEG molecular weight and phosphate concentration did not affect the xylanase partition coefficient.
Materials Science and Engineering: C | 2017
Mariana Cristina Lobato dos Santos Ribeiro Silva; Natalino Lourenço Neto; Silgia Aparecida da Costa; Sirlene Maria da Costa; Thais Marchini Oliveira; Rodrigo Cardoso de Oliveira; Maria Aparecida de Andrade Moreira Machado
The current study developed through layer-by-layer deposition a multilayer membrane for intraoral drug delivery and analyzed the biochemical, functional, and biological properties of this membrane. For that purpose, we designed a three-layer chlorhexidine-incorporated membrane composed by pure chitosan and alginate. The biochemical, functional, and biological properties were analyzed by the following tests: degradation in saliva medium; controlled drug release; water absorption, mass loss; pH analysis; and biocompatibility through fibroblast cell viability by MTT assay. All tests were conducted at three different periods (24, 48 and 72hours). The results demonstrated that hybrid membranes composed by alginate and chitosan with glycerol had greater water absorption and mass loss in buffer solution and in artificial saliva. The controlled drug release test revealed that the hybrid membrane exhibited greater drug release (0.075%). All chlorhexidine-incorporated membranes reduced the cell viability, and chitosan membranes with and without glycerol did not interfere with fibroblast viability. The biochemical and biophysical characteristics of the designed membranes and the findings of cell viability tests indicate great potential for application in Dentistry.
Materials Research-ibero-american Journal of Materials | 2016
Sandra M. Luz; Sirlene Maria da Costa; Adilson R. Gonçalves; Antônio Pascoal Del´Arco Junior; Silgia Aparecida da Costa
The present work aimed to study sugarcane bagasse fibers pre-treated with fungi and using NaOH/ anthraquinone (AQ) in chemical pulping processes for applications in composite materials. Bagasse was decayed with 250 mg of Ceriporiopsis subvermispora inoculum in a 20 L bioreactor. After that, samples were submitted to similar conditions of decaying without inoculum charge. Decayed and undecayed fibers were treated with NaOH 12.5 wt%, 0.15 of AQ and a 12:1 (v/w) liquor:bagasse ratio at 160°C. Then, all obtained fibers were characterized according to their chemical composition. Dried biotreated (decayed) and control (undecayed) fibers were mixed through an extruder process with polypropylene. Later, composite granulates were injected directly in mold with cavities for tensile, flexural and shear tests. Composite materials with 10 and 20 wt% fibers were submitted to static mechanical standard tests and DMA (Dynamic Mechanical Analysis) to evaluate the effect of biotreatment. Biotreatment, cook time (pulping), and fiber content contributed to improvements in the mechanical properties of the composites. The interface between fiber and matrix was increased with the biotreatment and pulping of fibers. Furthermore, DMA results also showed that fiber incorporation into PP improved the modulus, mainly for biotreated fibers/PP composites. The Tg (tan δ data) from composites was dislocated at lower temperatures with respect to neat PP due to the influence of fibers on matrix.
Industrial Crops and Products | 2013
Sirlene Maria da Costa; Priscila Gava Mazzola; Juliana Cristina Silva; Richard Pahl; Adalberto Pessoa; Silgia Aparecida da Costa
Materials Research-ibero-american Journal of Materials | 2017
Daniela Camargo Furuya; Silgia Aparecida da Costa; Rodrigo Cardoso de Oliveira; Humberto Gomes Ferraz; Adalberto Pessoa Junior; Sirlene Maria da Costa
International Journal of Textile and Fashion Technology | 2013
Sirlene Maria da Costa; Silgia Aparecida da Costa; Richard Pahl; Priscila Gava Mazzola; João Paulo Pereira Marcicano; Adalberto Pessoa Junior
5º CONTEXMOD | 2017
Ticiane Rossi; Helen Hirose Tanaka; Kellinton Francisco; Caroline Santos Alves de Lima; Sirlene Maria da Costa; Vitor Cano; Silgia Aparecida da Costa
5º CONTEXMOD | 2017
Luz Esmeralda Román Mendoza; Manuel Jesús Amézquita Amésquita; Flavia Vanessa Castro Basurto; Carmen Uribe Valenzuela; Dora Maurtua Torres; Sirlene Maria da Costa; Silgia Aparecida da Costa; Mónica Marcela Gómez León
5º CONTEXMOD | 2017
Rafaela Alves Vieira; Patrícia Muniz dos Santos Silva; Fernando Soares de Lima; Silgia Aparecida da Costa; Sirlene Maria da Costa