Desenvolvimento de métodos microbiológicos rápidos (MMRs) para avaliação da potência de agentes antimicrobianos e suas incertezas de medição / Development of rapid microbiological methods (RMMs) for evaluation of potency of antimicrobial agents and their measurement uncertainties

O método de difusão em ágar tem sido utilizado na avaliação da atividade antimicrobiana desde a descoberta da penicilina. Apesar disso, pouco avanço ocorreu no sentido de reduzir o tempo necessário para a determinação dos halos de inibição de crescimento. O objetivo deste projeto foi desenvolver, otimizar e validar métodos microbiológicos rápidos (MMRs) para a avaliação da potência de agentes antimicrobianos, além de identificar, quantificar e avaliar as principais fontes de incerteza associadas à determinação da potência. O projeto foi dividido em quatro etapas: 1) influência da composição do meio de cultura na formação dos halos de inibição; 2) estudo da incerteza de medição associada à determinação da potência de agentes antimicrobianos; 3) desenvolvimento, otimização e validação de métodos microbiológicos rápidos (MMRs) para determinação da potência de agentes antimicrobianos e 4) determinação dos parâmetros envolvidos na formação dos halos de inibição de crescimento e estudo dos mecanismos de difusão e crescimento microbiano. Os resultados deste projeto possibilitaram a redução do tempo necessário para a determinação do tamanho dos halos de inibição. Adicionalmente, contribuiu com a elucidação dos mecanismos de difusão e crescimento microbiano, possibilitando identificar e quantificar as principais fontes de incerteza de medição associadas à formação dos halos de inibição

Agar diffusion method has been used in the evaluation of antimicrobial activity since the discovery of penicillin. Nevertheless, little progress has occurred in order to reduce the time required for the determination of growth inhibition zones. The goal of this project was to develop, optimize and validate rapid microbiological methods (RMMs) for evaluation of potency of antimicrobials, as well as to identify, quantify and assess the main sources of uncertainty associated with potency. The project was divided into four steps: 1) influence of culture medium composition on inhibition zones; 2) study of measurement uncertainty associated with antimicrobials potencies; 3) development, optimization and validation of rapid microbiological methods (RMMs) for the determination of antimicrobials potencies and 4) determination of the parameters involved in the formation of inhibition zones and study of mechanisms of diffusion and microbial growth. The results of this project allowed the reduction of the time required for the determination of inhibition zone sizes. Additionally, it contributed to the elucidation of the mechanisms of diffusion and microbial growth, making it possible to identify and quantify the main sources of measurement uncertainty associated with formation of inhibition zone sizes

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.