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Evaluation of Artificial Neural Network Models for Predictive Monitoring of Biogas Production from Cassava Wastewater: Comparison of Training Algorithms

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SSRN 2022年

作者： Cruz, Ianny Andrade Nascimento, Victor Ruan Silva Felisardo, Raul José Alves dos Santos, Ataíde Mateus Gualberto de Jesus, Anderson Alles de Vasconcelos, Bruna Rego Bilal, Muhammad Cavalcanti, Eliane Bezerra de Souza, Ranyere Lucena Ferreira, Luiz Fernando Romanholo Graduate Program in Process Engineering Tiradentes University Av. Murilo Dantas 300 Farolândia SE Aracaju49032-490 Brazil Programa de Pós-Graduação em Engenharia Elétrica Universidade Federal de Sergipe Av. Marechal Rondon s/n Jd. Rosa ElzeSE São Cristóvão49100-000 Brazil Universidade Federal do Maranhão Campus Balsas MA Balsas65800-000 Brazil Biomass Technology Laboratory Department of Chemical Engineering and Biotechnology Engineering Université de Sherbrooke 2500 Boul. de L’Université SherbrookeQCJ1K 2R1 Canada Huaiyin Institute of Technology China Institute of Technology and Research Av. Murilo Dantas 300SE Farolândia Aracaju49032-490 Brazil

In this study, machine learning integrated based models for predicting cumulative biogas from anaerobic digestion (AD) of cassava wastewater were developed using artificial neural networks (ANNs). Biogas generation was investigated for 21 days with and without the inclusion of calcium particles from milled calcined chicken waste as a low-cost substitute for buffering. Digestion time, pH, and calcium eggshell-based concentration were selected as input features for biogas prediction through the implementation of the ANN approach. Moreover, seven different training algorithms were used to train the model, and a genetic algorithm (GA) was also implemented to optimize the ANN architecture, resulting in faster learning and higher prediction performance. Given the data set, the Levenberg-Marquardt algorithm with a hyperbolic tangent as a transfer function to the hidden and output layers was the most efficient model in predicting the biogas produced with an R-value of 0.9999. © 2022, The Authors. All rights reserved.

关键词： Biogas

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Mechanistic and theoretical investigation of acetaminophen adsorption on titanium-coated biochar: Statistical physics models and DFT insights

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Surfaces and Interfaces 2025年 69卷

作者： Ronaldo Antunes Funari Junior Ana Carolina Ferreira Piazzi Fuhr Fernando Machado Machado Marcos Leandro Silva Oliveira Luis Felipe Oliveira Silva Salah Knani Besma Graba Guilherme Luiz Dotto Research Group on Adsorptive and Catalytic Process Engineering (ENGEPAC) Federal University of Santa Maria Av. Roraima 1000-7 97105–900 Santa Maria RS Brazil Materials Science and Engineering Graduate Program Federal University of Pelotas (UFPel) 1 Gomes Carneiro St. 96010-610 Pelotas RS Brazil Universidad De La Costa Calle 58 # 55–66 080002 Barranquilla Atlántico Colombia Center for Scientific Research and Entrepreneurship Northern Border University Arar 73213 Saudi Arabia Department of Physics College of Science Northern Border University Arar Saudi Arabia

This study investigated acetaminophen removal using biochar from Pinus elliottii modified by titanium deposition under different conditions. The raw biochar was initially obtained, and then the magnetron sputtering technique was applied to deposit thin films of titanium on the biochar surface under different conditions. The effect of titanium deposition was evaluated by an integrated approach that included physicochemical characterization of the adsorbent materials, statistical physics modeling, and theoretical analysis by Density Functional Theory (DFT), allowing an in-depth understanding of the adsorption mechanism at the macroscopic and molecular levels. Models based on statistical physics indicated that the removal process occurs predominantly by physical adsorption (adsorption energy between 19.71 and 24.75 kJ mol −1 ), with the formation of double layers and variations in the adsorption energy according to the metal deposition conditions. The steric parameters ( n > 0.5) revealed changes in the adsorption geometry, and the number of molecules adsorbed per site correlated with the titanium deposition conditions. DFT analysis showed electronegative regions in the O11 and O16 atoms with Condensed Double Descriptors (CDD = –0.0637 and –0.0511), associated with forming hydrogen bonds with the biochar. The distribution of the frontier orbitals showed a HOMO-LUMO gap of 5.24 eV, indicating the high electronic stability of the molecule. The results demonstrate that titanium deposition selectively modifies the adsorptive properties of biochar, interaction energies, and adsorption geometry.

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Evaluation of Artificial Neural Network Models for Predictive Monitoring of Biogas Production from Cassava Wastewater: Comparison of Training Algorithms

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SSRN 2022年

作者： Cruz, Ianny Andrade Nascimento, Victor Ruan Silva Felisardo, Raul José Alves dos Santos, Ataíde Mateus Gualberto de Jesus, Anderson Alles de Vasconcelos, Bruna Rego Bilal, Muhammad de Souza, Ranyere Lucena Ferreira, Luiz Fernando Romanholo Graduate Program in Process Engineering Tiradentes University Av. Murilo Dantas 300 Farolândia SE Aracaju49032-490 Brazil Programa de Pós-Graduação em Engenharia Elétrica Universidade Federal de Sergipe Av. Marechal Rondon s/n Jd. Rosa Elze SE São Cristóvão49100-000 Brazil Universidade Federal do Maranhão Campus Balsas MA Balsas65800-000 Brazil Biomass Technology Laboratory Department of Chemical Engineering and Biotechnology Engineering Université de Sherbrooke 2500 Boul. de L’Université SherbrookeQCJ1K 2R1 Canada Institute of Chemical Technology and Engineering Faculty of Chemical Technology Poznan University of Technology Berdychowo 4 PoznanPL-60695 Poland Institute of Technology and Research Av. Murilo Dantas 300 Farolândia SE Aracaju49032-490 Brazil

In this study, machine learning integrated based models for predicting cumulative biogas from anaerobic digestion (AD) of cassava wastewater were developed using artificial neural networks (ANNs). Biogas generation was investigated for 21 days with and without the inclusion of calcium particles from milled calcined chicken waste as a low-cost substitute for buffering. Digestion time, pH, and calcium concentration were selected as input features for biogas prediction through the implementation of the ANN approach. Moreover, seven different training algorithms were used to train the model, and a genetic algorithm (GA) was also implemented to optimize the ANN architecture, resulting in faster learning and higher prediction performance. Given the data set, the Levenberg-Marquardt algorithm with a hyperbolic tangent as a transfer function to the hidden and output layers was the most efficient model in predicting the biogas produced with an R-value of 0.9999. © 2022, The Authors. All rights reserved.

关键词： Genetic algorithms

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Recent advances in molecularly imprinted polymers toward biomedical healthcare devices

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Biosensors and Bioelectronics 2025年

作者： Youngjun Seo Yonghwan Kim Jaeheung Kim Hyo Gi Jung Jae Won Jang Hyunji Kim Kyo Seon Hwang Dongtak Lee Sang Won Lee Jeong Hoon Lee Dae Sung Yoon School of Biomedical Engineering Korea University Seoul 02841 Republic of Korea Interdisciplinary Program in Precision Public Health Korea University Seoul 02841 Republic of Korea Department of Clinical Pharmacology and Therapeutics College of Medicine Kyung Hee University Seoul 02447 Republic of Korea Department of Bioengineering & Nano-bioengineering Research Center for Bio Materials and Process Development Incheon National University Incheon 22012 Republic of Korea Division of Bioengineering Incheon National University Incheon 22012 Republic of Korea Terasaki Institute for Biomedical Innovation Los Angeles CA 90064 USA KU-KIST Graduate School of Converging Science and Technology Korea University Seoul 02841 Republic of Korea Department of Integrative Energy Engineering College of Engineering Korea University Seoul 02841 Republic of Korea Astrion Inc Seoul 02841 Republic of Korea

Following the increase in the global aging population, the importance of monitoring various disease-related biomarkers at an early stage has increased to ensure the health of the elderly. In an aging society, point-of-care (POC) systems are needed to care for elderly people who have physical and mental disorders. In light of the increasing prominence of POC systems, there is a growing effort to address the limitations associated with conventional receptors in wearable devices by substituting them with molecularly imprinted polymer (MIP). MIPs are well-known synthetic receptors engineered with specific binding cavities based on the "lock and key" principle. They could be synthesized in various configurations depending on specific types of monomers and templates. Compared to conventional receptors such as antibodies and aptamers, MIPs exhibit outstanding advantages, including good stability, cost-effectiveness, ease of synthesis, reusability, and broad applicability. These advantages have led to their extensive application in biomedical healthcare devices. This review summarizes a comparative analysis of sensors utilized for the detection of disease-specific biomarkers through diverse MIP applications and methodologies. Furthermore, we evaluated recent advancements in the miniaturization of MIPs and their integration with wearable biomedical devices for comprehensive healthcare monitoring applications. Finally, we delineated the existing limitations that need to be surmounted for the effective implementation of MIP-based biomedical devices and outlined future objectives for the enhancement of wearable and wireless biomedical healthcare monitoring devices.

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Valorization of cassava residues for biogas production in Brazil based on the circular economy: An updated and comprehensive review

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Cleaner engineering and Technology 2021年 4卷

作者： Cruz, Ianny Andrade Santos Andrade, Larissa Renata Bharagava, Ram Naresh Nadda, Ashok Kumar Bilal, Muhammad Figueiredo, Renan Tavares Romanholo Ferreira, Luiz Fernando Graduate Program in Process Engineering Tiradentes University Av. Murilo Dantas 300 Farolândia Aracaju 49032-490 SE Brazil Laboratory for Bioremediation and Metagenomics Research (LBMR) Department of Environmental Microbiology (DEM) Babasaheb Bhimrao Ambedkar University (A Central University) Vidya Vihar Raebareli Road Lucknow 226 025 Uttar Pradesh India Department of Biotechnology and Bioinformatics Jaypee University of Information Technology Waknaghat Solan 173 234 Himachal Pradesh India School of Life Science and Food Engineering Huaiyin Institute of Technology Huaian 223003 China Institute of Technology and Research. Av. Murilo Dantas 300 Farolândia Aracaju 49032-490 SE Brazil

Biorefining is an essential component for achieving a sustainable economy. This approach makes use of zero-waste technologies and generates renewable energy. Besides converting organic waste into profit, the technology also avoids competition with biomass and different food-based feedstocks, water use, and impacts on biodiversity, making it a viable alternative to energy crops. In this context, anaerobic digestion (AD) allows proper waste management through controlling pollution/waste accumulation and converting organic matter into higher-value products: biogas and biofertilizer. Considering these points, Brazil has substantial agricultural productivity and generates a significant amount of waste residues that has enormous potential for biogas and bioenergy production. Cassava is an important staple crop for the country, particularly in northern and northeastern regions, where it is produced and processed mainly by families on a small-scale. It produces solid residues (peels, stems, and leaves) and wastewater, known as cassava wastewater, which is characterized by a high chemical oxygen demand, many mineral nutrients and cyanide. Nonetheless, all of these residues are usually disposed of in the vicinity without any treatment, rather than being used to produce higher value-added products. Hence, this review explored the potential role of anaerobic digestion for cassava residues management in association with the bio-based circular economy. Overall, the current manuscript emphasized cassava waste residue's potential for biogas generation, process intensification, scale scale-up strategies, and challenges. © 2021 The Authors

关键词： Anaerobic digestion Bioenergy production Biofuels Biorefinery Cassava residues Waste valorization

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Mechanical property determination for combined sheet and bulk metal forming process by plane strain compression test

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Materials Today: Proceedings 2018年第3期5卷 9376-9383页

作者： Nuttakorn Sae-Eaw Yingyot Aue-U-Lan Materials and Production Engineering program Department of Mechanical and Process Engineering Thailand The Sirindhorn International Thai-German Graduate School (TGGS) King Mongkut’s University of Technology North Bangkok Thailand

A new forming technique has been developed and improved to reduce the forming load, eliminate forming defects and minimize material waste. The Combined sheet and bulk metal forming process (SBMF) is developed by combining the advantages of both sheet and bulk forming processes. The workpiece is started by using a thick sheet. It will form the material by a common stamping process to preform a skeleton shape and later on the local feature is forged to get the precise dimension. To design this process, Finite Element Modeling (FEM) was applied for the process analysis to determine the flow behavior during the deformation. The flow stress is normally obtained from the conventional tests, namely, upsetting or tensile test, in which the flow behavior would be much different from the real behavior of the SBMF process. To make the simulation result more accurate, plane strain compression test (PSCT) was proposed to determine the flow stress of the material. To achieve the plane strain condition is not realistic and would be rather difficult. The spread exponent was proposed in the equation to determine the accurate effective stress which would compensate the effect of the nonplane strain condition. In this experiment, the material was SS316L with the thickness of 4.5 mm. Teflon and oils were used as lubricants to reduce friction. FEM of PSCT was conducted by using the flow stress obtained from PSCT with different friction coefficients. It was found that the load-stroke curve obtained from the Teflon lubrication condition could provide the friction coefficient closed to zero. This should be suitably used in the test for determining the flow stress in PSCT.

关键词： Plane strain compression test (PSCT) Flow stress Combined sheet and bulk metal forming process (SBMF)

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Sequential degradation of raw vinasse by a laccase enzyme producing fungus Pleurotus sajor-caju and its ATPS purification

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Biotechnology Reports 2020年 25卷 e00411-e00411页

作者： Junior, Joberson Alves Vieira, Yago Araujo Cruz, Ianny Andrade da Silva Vilar, Débora Aguiar, Mario M. Torres, Nádia Hortense Bharagava, Ram Naresh Lima, Álvaro Silva de Souza, Ranyere Lucena Romanholo Ferreira, Luiz Fernando Graduate Program in Process Engineering Tiradentes University Av. Murilo Dantas 300 Farolândia Aracaju 49032-490 SE Brazil Division of Molecular Biology - Biocenter Innsbruck Medical University Innsbruck A-6020 Austria Institute of Technology and Research Av. Murilo Dantas 300 - Prédio do ITP Farolândia Aracaju 49032-490 SE Brazil Laboratory for Bioremediation and Metagenomics Research (LBMR) Department of Microbiology (DM) Babasaheb Bhimrao Ambedkar University (A Central University) Vidya Vihar Raebareli Road Lucknow 226 025 Uttar Pradesh India

This study evaluated simultaneously the raw vinasse degradation, an effluent from the sugar-alcohol industry, the laccase production by Pleurotus sajor-caju and its purification using aqueous two-phase systems (ATPS). To improve laccase production, different concentrations of inducers (ethanol and CuSO₄) were added. The higher laccase production promoted an increase of 4-fold using 0.4 mM of CuSO₄ as inducer, with maximum enzymatic activity of 539.3 U/L on the 3^rd day of fermentation. The final treated vinasse had a decolorization of 92% and turbidity removal of 99% using CuSO₄. Moreover, the produced laccase was then purified by ATPS in a single purification step, reaching 2.9-fold and recovered ≈ 99,9 %, in the top phase (PEG-rich phase) using 12 wt% of PEG 1500 + 20 wt% of citrate buffer + enzyme broth + water, at 25 °C. Thus, an integrated process of vinasse degradation, laccase production and purification with potential industrial application was proposed. © 2019 The Authors

关键词： biological treatment Biomass decolorization inducers laccase purification

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Performance-based fire safety engineering assessment of national museum of marine science and technology

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Procedia engineering 2018年 211卷 325-331页

作者： Ang-Cian Li Chi-Min Shu Yi-Ting Teng Tzu-Sheng Shen Pin-Ping Hsieh Doctor Program Graduate School of Engineering Science and Technology National Yunlin University of Science and Technology (YunTech) Yunlin 64002 Taiwan Center for Process Safety and Industrial Disaster Prevention School of Engineering YunTech Douliou Yunlin 64002 Taiwan Graduate School of Fire Science Central Police University Taoyuan 33304 Taiwan

The concept of ocean current and fishery industry is expressed from the architectural design in using crossed exterior corridors to perform ocean current. The contrast between modern and obsolete is represented by the staggered interior design and antiquated building structure of the heritage, which is used to be North Thermal Power Plant. It is therefore partial areas which cannot fulfill the article 79-2 of Building Design and Construction Regulation mandated by Taiwan government that stipulate the requirement of any void space over 3 floors. Requirement of smoke extraction system and smoke curtain is also exempted from article 188 of Standard for Installation of Fire Safety Equipment Based on Use and Occupancy. Performance-based design is adopted by fire engineering approach as an alternative. This project passed the expert panel review of fire engineering strategies and smoke management assessment. At the stage of construction by auditing and reviewing, full-scale hot smoke test was conducted due to the safety consideration raised by local government. The results of tests are significantly different from the simulation modelling and smoke management report approved by National Fire Agency, Ministry of Interior. Visibility in partial areas is around 10 m which is not regarded as a tenable condition. After the improvement of smoke management, the study of full-scale hot smoke tests and computational simulated results are carried out. Acceptance criteria, usually smoke temperature, smoke layer height and visibility in Taiwan, are reached regardless of differences between FDS model and on-site full-scale tested values. This project provided design considerations to designer during design process, including the environmental differences of internal and external building, local weather impact, and grid size used in FDS model. The limitation and discrepancy of chosen software among different versions should be understood so that simulation results would more fit the re

关键词： performance-based design FDS full-scale hot smoke test smoke management visibility

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Determination and analysis of critical damage criteria for predicting fracture in forming process by uniaxial tensile test

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Materials Today: Proceedings 2018年第3期5卷 9642-9650页

作者： Sermpong Niemsakul Nuttakorn Sae-Eawa Yingyot Aue-U-Lan Materials and Production Engineering program Department of Mechanical and Process Engineering The Sirindhorn International Thai-German Graduate school (TGGS) King Mongkut’s University of Technology North Bangkok Thailand 1518 Pracharat I Rd. Wongsawang Bangsue Bangkok 10800 Thailand

Blanking process is one of the core processes used to prepare a blank sheet before proceeding to the next forming steps. The quality of a cutting edge is considered to be a major parameter because it could be a cause of the premature fracture at the edge as well as limit the material formability. Finite Element Modeling (FEM) is normally used to as a tool to design the process and cutting tools. The accuracy of the FEM is highly dependent on input parameters, such as material properties, flow stress, friction coefficient, a sequence or speed cycle of the forming machine. One of the important parameters as the input parameters is a fracture limit of the material. Many researchers have been proposed and investigated with different models. Critical Damage Criteria (CDC) are among of many criteria in which are used to define this fracture limitation. However, the technique used to determine the Critical Damage Value (CDV) is still a controversial topic. In this research, the aim is to determine the suitable CDV for different CDCs by using uniaxial tensile test for predicting the fracture behavior of the tensile test. Different CDCs’, namely Normalized Cockcroft & Latham, Rice & Tracy and McClintock, would be evaluated and tested the accuracy for predicting the fracture on the tensile test specimen of material SPHC [JIS G3131] with thickness of 4 mm. The Normalized Cockcroft & Latham could give a good prediction in both load vs. stroke prediction and fracture behavior of the workpiece after the tensile test.

关键词： Critical damage criteria Forming process Uniaxial tensile test

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Additive nanomanufacturing of lab-on-a-chip fluorescent peptide nanoparticle arrays for Alzheimer＇s disease diagnosis

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Bio-Design and Manufacturing 2018年第3期1卷 182-194页

作者： Leming Sun Zhen Fan Tao Yues Jun Yin Jianzhong FU Mingjun Zhang Department of Biomedical Engineering College ofEngineering Ohio State University Columbus OH 43210USA School of Life Sciences Northwestern PolytechnicalUniversity Xi'an 710072 Shaanxi China Department of Polymeric Materials School of MaterialScience and Engineering Tongji UniversityShanghai 201804 China Institute for Advanced Study TongjiUniversity Shanghai 200092 China School of Mechatronic Engineering and Automation Shanghai University Shanghai 200444 China The State Key Laboratory of Fluid Power and Mechatronic Systems School of Mechanical Engineering ZhejiangUniversity Hangzhou 310028 China Key Laboratory of 3D Printing Process and Equipment of Zhejiang Province School of Mechanical EngineeringZhejiang University Hangzhou 310028 China Dorothy M. Davis Heart & Lung Research Institute The OhioState University Wexner Medical Center Columbus OH43210 USA Interdisciplinary Biophysics Graduate Program Ohio StateUniversity Columbus OH 43210 USA

This paper proposes an additive nanomanufacturing approach to fabricate a personalized lab-on-a-chip fluorescent peptide nanoparticles （f-PNPs） array for simultaneous multi-biomarker detection that can be used in Alzheimer＇s disease （AD） diagnosis. We will discuss optimization techniques for the additive nanomanufacturing process in terms of reliability, yield and manufacturing efficiency. One contribution of this paper lies in utilization of additive nanomanufacturing techniques to fabricate a patient-specific customize-designed lab-on-a-chip device for personalized AD diagnosis, which remains a major challenge for biomedical engineering. Through the integrated bio-design and bio-manufacturing process, doctor＇s check- up and computer-aided customized design are integrated into the lab-on-a-chip array for patient-specific AD diagnosis. In addition, f-PNPs with targeting moieties for personalized AD biomarkers will be self-assembled onto the customized lab-on-a- chip through the additive nanomanufacturing process, which has not been done before. Another contribution of this research is the personalized lab-on-a-chip f-PNPs array for AD diagnosis utilizing limited human blood. Blood-based AD assessment has been described as ＂the holy grail＂ of early AD detection. This research created the computer-aided design, fabrication through additive nanomanufacturing, and validation of the f-PNPs array for AD diagnosis. This is a highly interdisciplinary research contributing to nanotechnology, biomaterials, and biomedical engineering for neurodegenerative disease. The conceptual work is preliminary with intent to introduce novel techniques to the application. Large-scale manufacturing based on the proposed framework requires extensive validation and optimization.

关键词： Nanomanufacturing Lab-on-a-chip Fluorescent peptide nanoparticle Alzheimer＇s disease Diagnosis

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