Software para quantificação via imagens digitais: determinação do teor de clorofila em óleo de soja

Abstract

This work aims to develop software to enable the use of digital images in the analysisof chlorophyll content in soybean oil. The main motivation for the development of this invention comes from the fact that part of the scientific knowledge generated in teaching and research institutions in Brazil is slow to become an applicable tool, often due to the lack of integration between different areas of knowledge. As a result,university library shelves are full of studies whose applications can be made feasible, requiring knowledge in different areas to generate significant technological innovation for the most diverse niches. To illustrate this fact, the work involving chemometric tools to implement new methodologies deserves attention, especially in the case of quick and less invasive analyzes. Important advances in these applications can be seen in the pharmaceutical and agri-food industry, which use non-invasive tools for online measurements from multivariate calibrations associated with near-infrared spectroscopy. For this work, a master's dissertation on technological innovations was used, which used digital images to quantify chlorophyll content in soybean oils, which proposes the acquisition of images from ordinary low-cost digital cameras. to make the process simple, fast, accurate, and non-destructive. The computational software produced was intended to integrate digital imaging systems with the standard method used by a cooperative that stores and crushes soybeans for oil production. Methodologies were integrated from the connection of the digital camera to the computational cloud, the development of software for calculations and generation of mathematical models, and the information exchange systems available for devices and platforms. In the end, it was possible to infer that the software produced has the potential to be expanded to a wide range of applications.