https://seer.tupa.unesp.br/index.php/BIOENG <table style="height: 190px;" width="800"> <tbody> <tr> <td width="141"> <h2 class="title"> <img src="https://seer.tupa.unesp.br/public/site/images/dfpereira/mceclip0.png" width="121" height="131" /></h2> </td> <td width="425"> <p>The <strong><em>Brazilian Journal of Biosystems Engineering (BIOENG)</em></strong> publishes original research presenting theoretical, experimental, and computational advances in agricultural and environmental systems. It emphasizes applications that support the sustainable development of agricultural and animal biosystems. The journal welcomes interdisciplinary contributions and prioritizes topics aligned with the United Nations Sustainable Development Goals (SDGs).</p> <p> </p> </td> </tr> </tbody> </table> UNESP, Campus de Tupã en-US Brazilian Journal of Biosystems Engineering 1981-7061 <p class="" data-start="1809" data-end="1877">By publishing in this journal, authors agree to the following terms:</p> <p class="" data-start="1879" data-end="2149">a) Authors retain copyright and grant the journal the right of first publication. The work is simultaneously licensed under the Creative Commons Attribution License, which permits sharing and adaptation of the work with appropriate credit to the authors and the journal.</p> <p class="" data-start="2151" data-end="2429">b) Authors may enter into separate, additional agreements for non-exclusive distribution of the published version of the work (e.g., posting to an institutional repository or inclusion in a book), provided that proper credit is given to the original publication in this journal.</p> https://seer.tupa.unesp.br/index.php/BIOENG/article/view/1232 <p>This study presents an innovative approach for energy recovery and treatment of cattle wastewater, exploring the performance of a UASB reactor operated at 40°C, a condition that has received scant attention in the extant literature. The experiment was conducted using a semi-continuous feeding regime, with hydraulic retention times of 6, 5, 3, and 2 days, and organic loading rates of 4, 5, 7, and 11 kg COD m^-3 d^-1. The range of organic matter removal for total COD was 60% to 80%, and for soluble COD, it was 50% to 75%. These values resulted in methane yields ranging from 0.20 to 0.34 m³ CH₄ per kilogram of total COD removed and from 0.4 to 0.5 m³ CH₄ per kilogram of soluble COD removed. The findings underscore the efficacy of operating the reactor under these conditions, not only in achieving substantial biogas production but also in ensuring the efficient removal of organic matter. This reinforces the potential of the processes as a sustainable and effective alternative for treating effluents with high pollutant loads, thereby combining environmental mitigation and clean energy generation.</p> Henrique Vieira de Mendonça Mônica Silva dos Santos Copyright (c) 2025 The Authors https://creativecommons.org/licenses/by/4.0 2025-05-13 2025-05-13 19 10.18011/bioeng.2025.v19.1232 https://seer.tupa.unesp.br/index.php/BIOENG/article/view/1264 <p>This study presents the application of kinetic modeling and Neuro-Fuzzy techniques in ethanol production. The research aims to optimize the fermentation process by employing the Adaptive Neuro-Fuzzy Inference System (ANFIS) to predict ethanol yield under different conditions. Initially, sugarcane juice was used as a raw material and subjected to fractional distillation to obtain ethanol. The experimental data were analyzed using artificial neural networks and fuzzy logic to develop a predictive model. The ANFIS hybrid model demonstrated high accuracy in forecasting ethanol production, allowing for process optimization and cost reduction. Additionally, the kinetic analysis of fermentation provided insights into substrate consumption and ethanol yield efficiency. The results indicate that the Neuro-Fuzzy approach is a powerful tool for improving bioethanol production processes, enhancing both efficiency and sustainability.</p> Emmanuel Zullo Godinho Caetano Dartiere Zulian Fermino Ricardo Marques Barreiros Copyright (c) 2025 The Authors https://creativecommons.org/licenses/by/4.0 2025-05-13 2025-05-13 19 10.18011/bioeng.2025.v19.1264