http://seer.tupa.unesp.br/index.php/BIOENG/issue/feed 2025-03-10T13:26:57+00:00 Prof. Dr. Celso Antonio Goulart celso.goulart@unesp.br Open Journal Systems <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" /></h2> </td> <td width="425">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).</td> </tr> </tbody> </table> http://seer.tupa.unesp.br/index.php/BIOENG/article/view/1264 2025-03-10T13:26:57+00:00 Emmanuel Zullo Godinho emmanuel.godinho@unesp.br Caetano Dartiere Zulian Fermino ferminocaetano867@gmail.com Ricardo Marques Barreiros ricardo.barreiros@unesp.br

<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>

2025-05-13T00:00:00+00:00 Copyright (c) 2025 The Authors http://seer.tupa.unesp.br/index.php/BIOENG/article/view/1232 2025-02-17T16:42:03+00:00 Henrique Vieira de Mendonça henriqueufv@gmail.com Mônica Silva dos Santos santos.monica2011@gmail.com

<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>

2025-05-13T00:00:00+00:00 Copyright (c) 2025 The Authors