Espectroscopia NIR associada a DD-SIMCA como técnica quimiométrica para avaliação de estabilidade de comprimidos de Baclofeno

• Ano de defesa: 2024
• Autor(a) principal: Aguiar, Valdiênia Mendes
• Orientador(a): Neto, José Germano Veras
• Banca de defesa: Fernandes, Felipe Hugo Alencar , Simões, Simone da Silva
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso embargado
• Idioma: por
• Instituição de defesa: Universidade Estadual da Paraíba
• Programa de Pós-Graduação: Programa de Pós-Graduação em Ciências Farmacêuticas - PPGCF
• Departamento: Centro de Ciências Biológicas e da Saúde - CCBS; Pró-Reitoria de Pós-Graduação e Pesquisa - PRPGP
• País: BR
• Palavras-chave em Português: Quimiometria; NIR; Baclofeno; Classificação; Espectrometria
• Área do conhecimento CNPq: FARMACIA
• Link de acesso: https://repositorio.uepb.edu.br/handle/123456789/73364

Baclofen, a muscle relaxant vital for treating muscle spasms in neuromuscular conditions, can undergo adulterations that compromise its effectiveness and safety. This study proposed a methodology for classifying baclofen, using NIR spectrometry and chemometric techniques. The analysis involved 43 different batches (23 unexpired and 20 expired) with the collection of front and back spectra of each tablet. To create a classification model between expired and unexpired tablets, DD-SIMCA was used as a chemometric technique, resulting in the creation of an efficient global model, with an emphasis on shelf life to the detriment of the brand. Normalization preprocessing further improved the separation between expired and non-expired medications. The detailed analysis demonstrated that the DD-SIMCA model is robust in discrimination, maintaining high sensitivity, specificity, and a global efficiency of 100%, regardless of the pre-processing technique used. The investigation of the forced degradation processes by temperature and radiation, with the use of mass spectrometry to identify degradation products, revealed distinct patterns between expired and non-expired tablets. Conducting Principal Component Analysis (PCA) in these processes demonstrated a clear distinction between expired and non-expired medications, identifying significant molecular variations during thermal degradation, with specific patterns between the two categories of medications. The performance of DD-SIMCA in drug analysis and stability assessment under different conditions provides a solid basis for future improvements and validations of the model, essential to ensuring the quality and safety of drugs.