Penteado, Alessandra A.T.Nogueira, Amanda de CássiaGandra, Kelly Moreira BezerraArellano, Daniel BarreraSteel, Caroline Joy2019-04-012019-04-012018PENTEADO, A. A. T. et al. Zero trans biscuits with soybean-based fats formulated using an artificial neural network. Grasas y Aceites, v. 69, n. 2, p. 1-10, 2018. Disponível em: <http://grasasyaceites.revistas.csic.es/index.php/grasasyaceites/article/view/1718>. Acesso em: 21 fev. 2019.00173495http://www.repositorio.ufop.br/handle/123456789/10876This study applied Artificial Neural Network (ANN) technology to formulate zero trans fat blends derived from soybeans and to evaluate their performance when applied to the processing of sweet laminated biscuits. For the formulation of the blends, two interesterified soybean fats and soybean oil were used as bases. They were characterized in terms of melting point, solid fat content and fatty acid composition; and the biscuits produced were analyzed for their technological (dimensions, mass, volume, expansion, instrumental color and texture, moisture gradient and cracking) and physicochemical characteristics (total fat and moisture contents, water activity and fatty acid composition). It was possible to verify the use of ANN to develop zero trans fats derived from soybeans for application in sweet laminated biscuits, which represents an operational and financial advantage. Moreover, we showed the viability of using soybean fats/oil, raw materials of greater availability and lower cost, for the production of biscuits.en-USabertoCookieMarie-typeTrans fatInteresterified fatGrasa interesterificadaArtigo publicado em periodicoThis is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International (CC BY 4.0) License. O próprio artigo