Dissertação

Desenvolvimento de uma solução de tecnologia da informação para gestão de métodos analíticos

Chemical analysis addresses a set of methods, which make it possible to determine the qualitative and quantitative composition of the substances. These methods play an important role in many areas of science and are used in the food, agricultural, environmental, pharmaceutical and medical indu...

ver descrição completa

Autor principal: Moraes, Luciano de Sousa
Grau: Dissertação
Idioma: pt_BR
Publicado em: Universidade Federal do Tocantins 2021
Assuntos:
Acesso em linha: http://hdl.handle.net/11612/2933
Resumo:
Chemical analysis addresses a set of methods, which make it possible to determine the qualitative and quantitative composition of the substances. These methods play an important role in many areas of science and are used in the food, agricultural, environmental, pharmaceutical and medical industries, among others. Researchers use these analytical methods on a daily basis in research, technical reports, technological innovations and practical classes in laboratories, however, according to the raw material to be analyzed and the availability of infrastructure, some adaptations are common and necessary. The product developed in this work is an Analytical Methods Management System with specifications carried out through the case study at the Kinetic and Process Modeling Laboratory (LaCiMP) at the Federal University of Tocantins, Campus Palmas. Agile development practices were used to develop the solution. The WEB system was developed in the Python programming language and Django framework, the product has the following functionalities: user registration, registration of official methods, allows the adaptation of an official method by any user of the system, sharing of methods between system users, generation of Qr code for each official and adapted method, researcher's professional diary to make notes of adapted methods, among others. Thus, the developed solution will support academics, teachers and researchers in practical classes and laboratory routines, enabling the optimization of the dynamics of scientific experimentation in the laboratory environment and the maximization of the dissemination of adaptations made within the scope of methodological practice.