Mechanical, optical, and physicochemical properties of HPMC-based doxazosin mesylate orodispersible films

Abstract In this study, orodispersible films formed from hydroxypropyl methylcellulose (HPMC) E6 (2, 2.5, and 3%) and plasticizers ((glycerin (Gly), propylene glycol (PP), or polyethylene glycol (PEG)), containing doxazosin mesylate, were prepared by the solvent casting method and characterized. Design of experiments (DoE) was used as a statistical tool to facilitate the interpretation of the experimental data and allow the identification of optimal levels of factors for maximum formulation performance. Differential scanning calorimetry (DSC) curves and X-ray powder diffraction (XRPD) diffractograms showed doxazosin mesylate amorphization, probably due to complexation with the polymer (HPMC E6), and the glass transition temperature of the polymer was reduced by adding a plasticizer. Fourier transformed infrared (FTIR) spectroscopy results showed that the chemical structure of doxazosin mesylate was preserved when introduced into the polymer matrix, and the plasticizers, glycerin and PEG, affected the polymer matrix with high intensity. The addition of plasticizers increased the elongation at break and adhesiveness (Gly > PEG > PP), confirming the greater plasticizer effect of Gly observed in DSC and FTIR studies. Greater transparency was observed for the orodispersible films prepared using PP. The addition of citric acid as a pH modifier was fundamental for the release of doxazosin mesylate, and the desirability formulation had a release profile similar to that of the reference product

An empirical analysis of homicides in Mexico through Machine Learning and statistical design of experiments

Homicide is one of the most important mortality causes that has reduced the Mexican life expectancy. That is why the aim of this work is to identify some sociodemographic and economic factors that can help explain homicides in Mexico and measure their impact, assuming the current conditions prevail. To do that, several Machine Learning (ML) methods were evaluated. The C5.0 model is best suited for the data at hand. After fine-tuning the algorithm, we used the estimated model to identify the main factors that explain homicides. Among these factors, eleven were selected that can be influenced by direct changes in domestic public policy, laws and/or regulations. These were used as input in a two-level fractional factorial Statistical Design of Experiments (DOE) to estimate their main effects and possible interactions. Although several of these factors had statistically significant effects on homicide rate, the one that had the biggest and direct impact from a practical perspective, was the Rule of Law Index (RLI). In fact, if we assumed that all states had the median RLI of 0.37, implementing domestic policies and procedures to move them all to the best RLI level could significantly reduce homicide rates.

El homicidio es una de las principales causas de muerte que ha reducido la esperanza de vida de los mexicanos. El objetivo de este trabajo es identificar algunos factores sociodemográficos y económicos que puedan ayudar a explicar homicidios en México y medir su impacto, suponiendo que las condiciones actuales permanecen. Para lograrlo, comparamos diferentes métodos de Aprendizaje de Máquina (AM). Para tal fin, se encuentra que el modelo C5.0 es el más adecuado. Después de hacer una calibración final del modelo, lo utilizamos para determinar los veinticinco principales factores que explican el fenómeno de homicidios. Se seleccionan 11 factores que se consideran pueden ser influenciados directamente por cambios en políticas públicas, leyes y/o regulaciones. Estos predictores fueron utilizados como entrada en un diseño de experimentos factorial fraccionado con dos niveles para estimar los principales efectos principales e interacciones posibles. A pesar de que varios de estos factores tuvieron impactos estadísticamente significativos, el que mostró tener el mayor impacto directo desde una perspectiva práctica fue el Índice de Estado de Derecho (IED). De hecho, asumiendo que todos los estados tuvieran el valor de IED de 0.37, correspondiente a la mediana en todo el país, si se implementaran políticas y procedimientos para ubicar a todos los estados al nivel del mejor estado en términos de IED, se lograría una reducción altamente significativa en la incidencia de homicidios en México.

Ferramenta in silico para desenvolvimento de métodos cromatográficos - aplicação em misturas de filtros solares / In silico tool for development of chromatographic methods - application in mixtures of sunscreensPalavras-chave em inglês

Planejamento de Experimentos (DoE) permite obter e explorar conhecimentos sobre inúmeros sistemas, facilitando a coleta de informações com reduzido número de experimentos. No entanto, DoE é restrito ao delineamento do desenho experimental. Para superar essa limitação e permitir uma previsão precisa dos tempos de retenção para uma seleção de filtros UV orgânicos sob diversas condições, usamos a Relação Quantitativa entre Estrutura e Retenção combinada com o método de Monte Carlo para desenvolver uma plataforma in silico capaz de prever o perfil cromatográfico de filtros UV orgânicos. Sete analitos foram usados para estabelecer o modelo de predição: benzofenona-3, avobenzona, ethilhexil triazona, octil dimetil PABA, metoxicinamato de octila, tinosorb® S e octocrileno. Os valores residuais obtidos no modelo de análise de regressão múltipla mostraram distribuição normal, homocedasticidade e independência. Os coeficientes de determinação (R2) e predição (R2 pred) foram de 99,82% e 99,71%, respectivamente. A plataforma in silico apresentou grande potencial para predição do perfil cromatográfico de filtros UV orgânicos, da coeluição de analitos, de seus parâmetros cromatográficos, além de permitir, sem experimentação, uma visão geral do comportamento de retenção de compostos sob diversas condições cromatográficas

Design of Experiments (DoE) allows obtaining and explorer knowledge about innumerous systems, facilitating the information collection with reduced number of experiments. However, DoE is restricted to the limited range which experimental design was delineated. In order to overcome this limitation and enable accurate prediction of retention times for a selection of organic UV filters under various conditions, we used the Quantitative Structure-Retention Relationships tool combined with Monte Carlo method to develop an in silico platform capable of predicting chromatographic profile of organic UV filters. Seven analytes were used to established to prediction model: benzophenone-3, butyl methoxydibenzoilmethane, ethylhexyl triazone, ethylhexyl dimetyl PABA, ethylhexyl methoxycinnamate, bisethylhexyloxyphenol methoxyphenyl triazine and octocrylene. Residual values obtained from multiple regression analysis model showed normal distribution, homoscedasticity, and independence. Determination (R2) and prediction (R2 pred) coefficients were found to be 99,82% and 99,71%, respectively. In silico platform presented great potential for predicting chromatographic profile of organic UV filters, analytes coelution, chromatographic parameters and allowing, without experimentation, an overview of retention behavior of compounds under various chromatographic conditions

Media development and process parameter optimization using statistical experimental designs for the production of nonribosomal peptides in Escherichia coli

BACKGROUND: Nonribosomal peptide synthases (NRPS) can synthesize functionally diverse bioactive peptides by incorporating nonproteinogenic amino acids, offering a rich source of new drug leads. The bacterium Escherichia coli is a well-characterized production host and a promising candidate for the synthesis of nonribosomal peptides, but only limited bioprocess engineering has been reported for such molecules. We therefore developed a medium and optimized process parameters using the design of experiments (DoE) approach. RESULTS: We found that glycerol is not suitable as a carbon source for rhabdopeptide production, at least for the NRPS used for this study. Alternative carbon sources from the tricarboxylic acid cycle achieved much higher yields. DoE was used to optimize the pH and temperature in a stirred-tank reactor, revealing that optimal growth and optimal production required substantially different conditions. CONCLUSIONS: We developed a chemically defined adapted M9 medium matching the performance of complex medium (lysogeny broth) in terms of product concentration. The maximum yield in the reactor under optimized conditions was 126 mg L-1, representing a 31-fold increase compared to the first shaking-flask experiments with M9 medium and glycerol as the carbon source. Conditions that promoted cell growth tended to inhibit NRPS productivity. The challenge was therefore to find a compromise between these factors as the basis for further process development.

Otimização e padronização de processos para obtenção de quitosana purificada para uso farmacêutico e alimentício / Optimization and standardization of processes to obtain purified chitosan for pharmaceutical and food use

Quitosana é um biopolímero encontrado principalmente na parede celular de crustáceos e é obtida pela desacetilação da quitina. Como biopolímero a quitosana é utilizada como excipiente para medicamentos e composição de alimentos. No entanto a quitosana devidamente purificada para uso farmacêutico ou alimentício tem custo financeiro elevado. Outro fator que contribui para o uso limitado é a falta de procedimento padronizado para desacetilação, o que resulta em materiais com diferentes graus de qualidade, dificultando suas aplicações e controle de qualidade de matéria prima e produto. Este trabalho tem como principal objetivo estabelecer procedimento reprodutível para a extração da quitina e da quitosana, por meio da aplicação dos conceitos de Quality by Design e planejamento de experimentos. A quitosana foi obtida pela desacetilação da quitina de crustáceos pelas etapas de desmineralização, desproteinização e despigmentação. O procedimento técnico para purificação da quitosana foi definido a partir de planejamento fatorial com ponto central para as etapas otimizadas, por meio da aplicação dos conceitos de Quality by Design e planejamento de experimentos. O projeto definiu um procedimento padronizado para purificação da quitosana que pode ser empregado em escala industrial, e financeiramente vantajoso para produção de medicamentos ou alimentos

Chitosan is a biopolymer found mainly in the cell wall of crustaceans and is obtained by the deacetylation of chitin. As biopolymer chitosan is used as excipient for medicaments and food composition. However, chitosan duly purified for pharmaceutical or food use has a high financial cost. Another factor that contributes to the limited use is the lack of standardized procedure for deacetylation, which results in materials with different grades of quality, hindering their applications and quality control of raw material and product. This work has as main objective to establish a reproducible procedure for the extraction of chitin and chitosan, through the application of the concepts of Quality by Design and planning of experiments. Chitosan was obtained by the deacetylation of chitin from crustaceans through the demineralization, deproteinization and depigmentation stages. The technical procedure for purification of chitosan was defined from a factorial planning with a central point for the optimized steps, through the application of the concepts of Quality by Design and planning of experiments. The project defined a standard procedure for the purification of chitosan that can be used on industrial scale and financially advantageous for the production of medicines or foods

Determination of the related substances in desloratadine by HPLC / 中国药科大学学报

@#Established liquid chromatographic method for determination of desloratadine and its impurities by DOE. The separation was achieved by using a reversed phase chromatographic column(ODS, 250 mm×4. 6 mm, 4 μm)with gradient eluent composed of ethanol-0. 003 mol/L sodium dodecyl sulfate aqueous solution(dissolve 0. 570 sodium dodecyl sulfate in water, add 0. 5 mL trifluoroacetic acid and dilute to 1 000 mL with water)(43 ∶57)at a wavelength of 280 nm. The sample size was 40 μL, column temperature was set at 35 °C and flow rate of mobile phase was 1. 5 mL/min. A method for determination of desloratadine and its impurities of process and degration was established. The developed method is sensitive, convenient, and can control the drug quality efficiently.

Direct large-volume injection analysis of polycyclic aromatic hydrocarbons in water / Análisis de inyección directa en gran volumen de hidrocarburos aromáticos policíclicos en agua / Análise de injeção direta de grande volume de hidrocarbonos aromáticos policíclicos em água

Abstract Due to the health risks for both humans and living beings caused by polycyclic aromatic hydrocarbons (PAHs), the monitoring of these compounds in environmental matrices is mandatory. This work proposes an analytical method for analyzing anthracene (AN) and benzo[a]pyrene (BaP), two of the most representative PAHs, at ultra-trace concentrations in water, employing direct injection of large volumes of samples coupled with reversed-phase high-performance liquid chromatography. For this purpose, principal component analysis was used to examine the behavior of AN and BaP within the chromatographic system. Results showed that AN and BaP chromatographic behavior can be described by three models representing their identification, the quantification of AN and that of BaP, respectively. The factors affecting the obtained models, such as the injection volume, column temperature, flow rate, strength of the mobile phase, and the excitation and emission wavelengths, were examined and optimized by means of design of experiments. Finally, the analytical method was validated, obtaining promising limits of detection and quantification. The developed analytical method was demonstrated to be useful for a sensitive analysis of the target analytes in relatively clean natural water matrices.

Resumen Los hidrocarburos aromáticos policíclicos (HAPs) causan problemas en la salud de los seres humanos y seres vivos, por lo que se requiere un monitoreo de estos compuestos en matrices ambientales. Este trabajo propone un método analítico para analizar el antraceno (AN) y el benzopireno (BAP), los hidrocarburos más representativos en concentraciones de ultra trazas en el agua, empleando inyección directa en grandes volúmenes en muestras acopladas a la fase inversa con cromatografía líquida de alto rendimiento. Por tal razón, se utilizó el análisis de componentes principales para examinar el comportamiento de AN y BAP en el sistema cromatográfico. Los resultados mostraron que el comportamiento cromatográfico de AN y BAP podría describirse por medio de tres modelos que representan su identificación, la cuantificación de AN y de BAP, respectivamente. Se examinaron los factores que afectan a los modelos obtenidos, como el volumen de inyección, la temperatura de la columna, la tasa de flujo, la fuerza de la fase móvil, y las longitudes de las ondas de excitación y emisión, y se optimizaron mediante el diseño de experimentos. Finalmente, se validó el método analítico, obteniendo límites de detección y cuantificación. Se demostró que el método analítico desarrollado fue útil para el análisis sensible de los analitos en matrices de agua natural relativamente limpia.

Resumo Devido aos riscos para a saúde tanto para humanos como para os seres vivos em geral causados pelos hidrocarbonos aromáticos policíclicos (HAPs), o monitoramento de estes compostos em matrizes ambientais é prioritário. Este trabalho propõem um método analítico para analisar antraceno (AN) e benzo[a]pireno (BaP), dois dos hidrocarbonos mais representativos, em concentrações de ultra traços em água, empregando injeções diretas de grandes volumes de amostra acoplada a cromatografia líquida de alta eficiência em fase reversa. Usando Análises por Componentes Principais e desenho experimental, foram avaliados os efeitos de diversos fatores que afetam o sistema cromatográfico, tais como o volume de injeção, a temperatura da coluna, fluxo, forca da fase móvel e comprimentos de onda de excitação e emissão. Os resultados demonstraram que o comportamento cromatográfico de AN e BaP pode ser descrito por meio de três que representam sua identificação, quantificação de AN e de BaP, respectivamente. Os resultados mostraram que o comportamento cromatográfico de NA e BAP poderia ser descrito por meio de três modelos que representam sua identificação, a quantificação de NA e de BAP, respectivamente. Examinaram-se os fatores que afetam aos modelos obtidos, como o volume de injeção, a temperatura da coluna, a taxa de fluxo, a forca da fase móvel, e as longitudes das ondas de excitação e emissão, e se otimizaram mediante o desenho experimental. Finalmente, se validou o m todo analítico, obtendo os limites de detecção e quantificação. O método analítico desenvolvido demonstrou ser útil para uma análise sensível para os compostos de interesse em matrizes de água natural relativamente limpas.

Design of Experiments (DoE) applied to Pharmaceutical and Analytical Quality by Design (QbD)

According to Quality by Design (QbD) concept, quality should be built into product/method during pharmaceutical/analytical development. Usually, there are many input factors that may affect quality of product and methods. Recently, Design of Experiments (DoE) have been widely used to understand the effects of multidimensional and interactions of input factors on the output responses of pharmaceutical products and analytical methods. This paper provides theoretical and practical considerations for implementation of Design of Experiments (DoE) in pharmaceutical and/or analytical Quality by Design (QbD). This review illustrates the principles and applications of the most common screening designs, such as two-level full factorial, fractionate factorial, and Plackett-Burman designs; and optimization designs, such as three-level full factorial, central composite designs (CCD), and Box-Behnken designs. In addition, the main aspects related to multiple regression model adjustment were discussed, including the analysis of variance (ANOVA), regression significance, residuals analysis, determination coefficients (R2, R2-adj, and R2-pred), and lack-of-fit of regression model. Therefore, DoE was presented in detail since it is the main component of pharmaceutical and analytical QbD.

Turbo-extraction of glycosides from Stevia rebaudiana using a fractional factorial design

ABSTRACT Stevia rebaudiana (Bertoni) Bertoni, Asteraceae, leaf extract has recently called the attention of food industry as a proposal for natural sweetener. The sweet flavor is attributed to the glycosides, in especial stevioside and rebaudioside A, which are the plant main chemical markers. The aim of the work reported here was to optimize the turbo-extraction of stevia leaves using water, ethanol 70% and 90% (w/w) as green solvents. A 25-2 factorial design was applied to study the linear effects of the drug size, solvent to drug ratio, temperature, time and also the turbolysis speed on the extraction of glycosides. The glycosides exhaustive extraction showed that ethanol 70% gave better results and was used for turbo-extraction. The stevioside and rebaudioside A contents were quantified by a validated method by high performance liquid chromatographic with photodiode array detector. The contents of stevioside and rebaudioside A in fluid extract increased with the drug size, but decreased at high shearing speeds and solvent to drug ratio, while their yields decreased at higher temperature and were not affected by turbo speed. An increase in solvent to drug ratio reduced significantly the glycosides percent in dried extract. Optimal solution for S. rebaudiana leaves turbo-extraction was determined by desirability functions. The optimal extraction condition corresponded to drug size of 780 µm, solvent to drug ratio of 10, extraction time of 18 min; temperature of 23 ºC and turbo speed of 20,000 rpm, resulting in yields of 4.98% and 2.70%, for stevioside and rebaudioside A, respectively. These yields are comparable to the ones recently published for dynamic maceration, but with the advantage of shorter extraction times. This work demonstrates that turbolysis is promising for S. rebaudiana glycosides extraction and stimulate new research on the purification of these extracts, which may become an interesting source of income for developing countries such as India and Brazil.

Engineering spray-dried rosemary extracts with improved physicomechanical properties: a design of experiments issue

ABSTRACT A 33 Box–Behnken design and Response Surface Methodology were performed to evaluate the influence of extract feed rate, drying air inlet temperature and spray nozzle airflow rate on the process yield, stability parameters (moisture content and water activity) and on several physicomechanical properties of spray-dried rosemary extracts. Powder yield ranged from 17.1 to 74.96%. The spray-dried rosemary extracts showed moisture content and water activity below 5% and 0.5%, respectively, which indicate their chemical and microbiological stabilities. Even without using drying aids, some sets of experimental conditions rendered dried products with suitable flowability and compressibility characteristics for direct preparation of solid dosage forms. Analysis of variance and Response Surface Methodology proved that studied factors significantly affected most of the spray-dried rosemary extract quality indicators at different levels. The main processing parameter affecting the spray-dried rosemary extract characteristics was inlet temperature. The best combination of parameters used to obtain a reasonable yield of stable dry rosemary extracts with adequate technological properties for pharmaceutical purpose involves an extract feed rate of 2 ml/min, 80 °C inlet temperature and 40 l/min SA. The design of experiments approach is an interesting strategy for engineering spray-dried rosemary extracts with improved characteristics for pharmaceutical industrial purpose.

Preparation and scale up of extended-release tablets of bromopride

Reproducibility of the tablet manufacturing process and control of its pharmaceutics properties depends on the optimization of formulation aspects and process parameters. Computer simulation such as Design of Experiments (DOE) can be used to scale up the production of this formulation, in particular for obtaining sustained-release tablets. Bromopride formulations are marketed in the form of extended-release pellets, which makes the product more expensive and difficult to manufacture. The aim of this study was to formulate new bromopride sustained release formulations as tablets, and to develop mathematical models to standardize the scale up of this formulation, controlling weight and hardness of the tablets during manufacture according to the USP 34th edition. DOE studies were conducted using Minitab(tm) software. Different excipient combinations were evaluated in order to produce bromopride sustained-release matrix tablets. In the scale-up study, data were collected and variations in tableting machine parameters were measured. Data were processed by Minitab(tm) software, generating mathematical equations used for prediction of powder compaction behavior, according to the settings of the tableting machine suitable for scale-up purposes. Bromopride matrix tablets with appropriate characteristics for sustained release were developed. The scale-up of the formulation with the most suitable sustained release profile was established by using mathematical models, indicating that the formulation can be a substitute for the pellets currently marketed.

A reprodutibilidade do processo de fabricação de comprimidos e o controle das suas propriedades farmacotécnicas depende da otimização dos aspectos de formulação e dos parâmetros de processo. O planejamento de experimentos como o Desenho de Experimentos (DOE) pode ser utilizado para acelerar a produção desta formulação, em particular, para a obtenção de comprimidos de liberação prolongada. Formulações de bromoprida são comercializadas sob a forma de péletes de liberação prolongada, o que torna o produto caro e de difícil fabricação. O objetivo deste estudo foi preparar novas formulações de bromoprida de liberação prolongada na forma de comprimidos e desenvolver modelos matemáticos visando ao escalonamento destas formulações, controlando o peso e a dureza dos comprimidos durante a fabricação, de acordo com a 34ª Edição da USP. Estudos de DOE foram realizados utilizando o software Minitab(tm). Diferentes combinações de excipientes foram avaliadas visando à obtenção dos comprimidos de liberação prolongada de bromoprida. No estudo de scale-up, coletaram-se e mediu-se a influência das variações nos parâmetros da máquina de compressão. Processaram-se os dados obtidos pelo software Minitab (tm), gerando equações matemáticas aptas para a previsão do comportamento de compactação do pó em escala industrial. Os comprimidos obtidos apresentavam características adequadas em termos de liberação sustentada, sendo a cinética de liberação estabelecida utilizando modelos matemáticos, indicando que esta formulação pode ser uma substituta aos péletes de bromoprida atualmente comercializados.

Dynamic maceration of Copaifera langsdorffii leaves: a technological study using fractional factorial design

The Copaifera langsdorffii Desf., Fabaceae, is a Brazilian native tree, known as copaiba, which oil is commonly used in folk medicine as muscle relaxant, wound healing, antiseptic and anti-inflammatory to respiratory and urinary tracts. Despite of the wide use of the oil of Copaifera species, scientific works related to the study of its leaves are rarely found. In fact, processes for flavonoid extraction from C. langsdorffii leaves have not been studied yet leaving a wide field to be investigated. In this work, the 2(5-2) fractional factorial design was selected in order to study how the factors of a dynamic maceration process influence the responses of total flavonoids, total phenols, quercetrin and afzelin contents, and antioxidant activity in extracts from C. langsdorffii leaves. The results demonstrated that the significant factors studied were the drug load in extractor, the ethanol/water ratio and the stirring speed whereas the temperature and the extraction time were not significant. In conclusion, this study allowed visualizing which factors were considered the most important in copaiba leaves dynamic maceration and their effect in extract antioxidant activity. Furthermore, this technological study gives directions to optimize future extraction experiments from C. langsdorffii.

Box-Behnken design to study the bergenin content and antioxidant activity of Endopleura uchi bark extracts obtained by dynamic maceration

Brazil has one of the world's largest biodiversity in flora and a plant that has attracted attention is the Endopleura uchi (Huber) Cuatrec., Humiriaceae, which is native of the Brazilian Amazon. Among the many popular uses, this species is utilized in the treatment of woman's genito urinary tract affections and also as anti-inflammatory. It is believed that their actions derive from the major constituent, bergenin. The objective of this work was to study the Endopleura uchi barks extraction using the dynamic maceration method and the effects of the extraction time, drug to solvent ratio and temperature. A Box-Behnken design was applied to study the influence of these factors and the respective response surfaces. The extract characterization was made by determination of its antioxidant activity by DPPH; total polyphenol content and bergenin content. In general, the extracts showed good antioxidant activity, with the IC50 ranging from 4.02 to 5.87 µg/mL. The polyphenol content ranged from 31.89 to 47.82%. High levels of chemical markers are observed in all extracts, with average bergenin content of 35.58%. The result showed that the multivariate study of extraction is key step in the development and standardization of extracts Endopleura uchi.

Applying design of experiments (DOE) to flavonoid extraction from Passiflora alata and P. edulis

The Passifloraceae family is extensively used in native Brazilian folk medicine to treat a wide variety of diseases. The problem of flavonoid extraction from Passiflora was treated by application of design of experiments (DOE), as an experiment with mixture including one categorical process variable. The components of the binary mixture were: ethanol (component A) and water (component B); the categorical process variable: extraction method (factor C) was varied at two levels: (+1) maceration and (-1) percolation. ANOVA suggested a cubic model for P. edulis extraction and a quadratic model for P. alata.These results indicate that the proportion of components A and B in the mixture is the main factor involved in significantly increasing flavonoid extraction. In regard to the extraction methods, no important differences were observed, which indicates that these two traditional extraction methods could be effectively used to extract flavonoids from both medicinal plants. The evaluation of antioxidant activity of the extract by ORAC method showed that P. edulis displays twice as much antioxidant activity as P. alata. Considering that maceration is a simple, rapid and environmentally friendly extraction method, in this study, the optimized conditions for flavonoid extraction from these Passiflora species is maceration with 75% ethanol for P. edulis and 50% ethanol for P. alata.

Influência de diferentes meios de cultura em cultivos de Streptococcus pneumoniae sorotipo 1 para produção de polissacarídeo capsular / Influence of different culture media on Streptococcus pneumoniae serotype 1 cultivations to produce capsular polysaccharide

S. pneumoniae é um importante patógeno humano que afeta sobretudo crianças. Vacinas são a principal estratégia de combate e o polissacarídeo (PS) da cápsula é o antígeno. Dentre os sorotipos do patógeno, o tipo 1 é prevalente em crianças e o PS1 componente obrigatório das vacinas. Neste trabalho objetivou-se: estabelecer um método de dosagem do PS1, selecionar a melhor cepa produtora de PS1, avaliar 3 peptonas, investigar 4 componentes do meio de cultura em planejamento experimental (PE) em reator e propor um novo meio e estratégia de cultivo. A cepa ST595/01 foi selecionada e o Phytone (Phy) foi a peptona com maior produção de PS1, 298mg/L, medido por m-hidroxidifenil com sulfamato. O PE 24-1 com extrato de levedura (EL), Phy, Asn e Gln mostrou os maiores efeitos positivos do Phy para produção de biomassa (Cx) e PS1. EL foi positivo para Cx, Asn não apresentou efeitos e Gln menor efeito positivo para PS1. Assim, testou-se o novo meio com Phy 15g/L e EL 2g/L sob duas estratégias: a batelada alimentada superou a batelada simples em 2x para Cx e 2,5x para PS1.

S. pneumoniae is an important human pathogen that affects mainly children. Vaccines are the main strategy to fight the disease and capsular polysaccharide (PS) is the antigen. Among pneumococcal serotypes, type 1 is prevalent in children. The aims of this work were: establish a method to measure PS1, screen strains for the best PS1 producer, evaluate 3 peptones, investigate the effects of 4 medium components by a design of experiment (DoE) and propose a new medium/strategy for cultivation. The strain ST595/01 was selected. Phytone (Phy) was the peptone with the highest PS1 production (298mg/L, measured by m-hydroxydiphenyl + sulfamate method). DoE 24-1 was carried out to assess the effects of yeast extract (YE), Phy, Asn and Gln. Phy showed the major positive effects for biomass (Cx) and PS1. YE demonstrated effects for Cx. Gln showed minor effect on PS1 production and Asn did not present effects. A new medium based on 15g/L Phy and 2g/L YE was evaluated by 2 strategies: fed-batch showed Cx production 2-fold higher and PS1 2.5-fold higher than simple batch.

Nutrition Factors Influence the Production of Insecticidal Crystal Proteins Cry1 and Cry2 from Bacillus thuringiensis 4.0718 / 微生物学通报

In order to increase the production of insecticidal crystal proteins Cry1 and Cry2, firstly, Plack-ett-Burman design was applied to evaluate the effectiveness of the related nutrition factors; it was found that the soybean powder and MnSO4?H2O were significant factors for Cry1 production, but the yield of Cry2 wasn’t effected remarkably in such medium. Then the steepest ascent experiment was adopted to approach the optimal region of the medium composition. Lastly, the optimal concentration of the soybean powder and MnSO4?H2O was 11.5 and 0.02 g/L, obtained by response surface methodology (RSM). The final yields of Cry1 and Cry2 was 0.32 mg/mL and 0.11 mg/mL, increasing twice more than that in the medium optimized before. The median lethal concentration (LC50) of optimal medium was 1.09 ?L/mL. The toxicity to Heli-coverpa armigera was significantly enhanced than the old one.