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One-dimensional Modelling and Optimisation of an Industrial Steam Methane Reformer 工业甲烷蒸汽转化炉的一维建模与优化
IF 1.5 4区 生物学 Q4 BIOTECHNOLOGY & APPLIED MICROBIOLOGY Pub Date : 2022-01-18 DOI: 10.15255/cabeq.2021.1963
Mojtaba Sinaei Nobandegani, Tayebeh Darbandi, Mahdi Kheirinik, M. R. S. Birjandi, F. Shahraki, Liang Yu
M. Sinaei Nobandegani,a,* T. Darbandi,b M. Kheirinik,c M. R. Sardashti Birjandi,d F. Shahraki,d and L. Yua aChemical Technology, Luleå University of Technology, SE-971 87 Luleå, Sweden bLuleå University of Technology, Department of Engineering Sciences and Mathematics, Energy Science, Luleå, Sweden cPersian Gulf Star Oil Company, Bandar Abbas, Hormozgan Province, Iran dDepartment of Chemical Engineering, University of Sistan and Baluchestan, P.O. Box 98164-161, Zahedan, Iran
M. Sinaei Nobandegani,a,* T. Darbandi,b M. Kheirinik,c M. Sardashti Birjandi,d F. Shahraki,d和L. Yua化学技术,lulele理工大学,SE-971;瑞典lulele理工大学,工程科学与数学系,能源科学,瑞典lule;波斯湾之星石油公司,霍尔木兹甘省阿巴斯港
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引用次数: 2
CFD Simulation of He/CH4 Separation by Hyflon AD60X Membrane Hyflon AD60X膜分离He/CH4的CFD模拟
IF 1.5 4区 生物学 Q4 BIOTECHNOLOGY & APPLIED MICROBIOLOGY Pub Date : 2022-01-18 DOI: 10.15255/cabeq.2021.1957
Younes Amini, Ali Ghaednian-Jahromi, J. Karimi-Sabet, A. Dastbaz, A. Hassanvand
Y. Amini,a,* A. Ghaednian-Jahromi,b J. Karimi-Sabet,a A. Dastbaz,c and A. Hassanvandd aNuclear Fuel Cycle Research School, Nuclear Science and Technology Research Institute, Tehran, Iran bDepartment of Chemical Engineering, Sahand University of Technology, Tabriz, Iran cSchool of Chemical Engineering, Faculty of Engineering, University of Tehran, Tehran, Iran dDepartment of Polymer Engineering, Faculty of Engineering, Lorestan University, Khorramabad, Iran
Y.Amini,a,*a.Ghaednian Jahromi,b J.Karimi Sabet,a a.Dastbaz,c和a.Hassanvand a伊朗德黑兰核科学与技术研究所核燃料循环研究学院b伊朗大不里士萨哈德理工大学化学工程系c伊朗德黑兰大学化学工程学院,伊朗Khorramabad Lorestan大学工程学院
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引用次数: 8
Isolation and Performance Study of a Novel Lignin-degrading Strain 一株木质素降解新菌株的分离及性能研究
IF 1.5 4区 生物学 Q4 BIOTECHNOLOGY & APPLIED MICROBIOLOGY Pub Date : 2022-01-18 DOI: 10.15255/cabeq.2021.1939
Wen Zhang, Z. Liu
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引用次数: 0
Biosynthesis of γ-Polyglutamic Acid by Bacillus licheniformis Through Submerged Fermentation (SmF) and Solid-state Fermentation (SSF) 地衣芽孢杆菌深层发酵和固态发酵合成γ-聚谷氨酸的研究
IF 1.5 4区 生物学 Q4 BIOTECHNOLOGY & APPLIED MICROBIOLOGY Pub Date : 2021-10-20 DOI: 10.15255/cabeq.2021.1921
V. Campos, R. Kaspary, M. Rossi, T. A. M. Medeiros
Gamma-Polyglutamic acid (γ-PGA) was produced from fermentation processes by inoculating the bacterium Bacillus licheniformis on different substrates. In submerged fermentation (SmF), glycerol and glucose were used as the main carbon substrates while ammonium sulfate served to provide nitrogen. In solid-state fermentation (SSF), soybean was used as the main substrate. Tests carried out in an airlift bioreactor with B. licheniformis showed a maximum productivity of 0.789 g L–1 h–1 and a yield of 0.4 g g–1. Different soybean cultivars from the 2015 and 2016 crops were used in the SSF. The BRS 1001IPRO cultivar, from the 2016 crop, showed the highest production, i.e., 1.2 g L–1 of γ-PGA. This cultivar was subjected to different levels of milling (fine, intermediate and coarse). Coarsely milled grains increased γ-PGA production to 2.7 g L–1. Moreover, coarse milling made the internal nutrients of the grains available for fermentation and this particle size did not compromise aeration during fermentation.
将地衣芽孢杆菌接种在不同底物上,通过发酵生产γ-聚谷氨酸。在深层发酵(SmF)中,甘油和葡萄糖作为主要的碳底物,硫酸铵提供氮。在固态发酵(SSF)中,以大豆为主要底物。在含有地衣芽孢杆菌的气升式生物反应器中进行的测试显示,最大生产力为0.789 g L–1 h–1,产量为0.4 g g–1。2015年和2016年作物的不同大豆品种被用于SSF。来自2016年作物的BRS 1001IPRO品种表现出最高的产量,即1.2 g L–1的γ-PGA。对该品种进行不同程度的碾磨(细、中、粗)。粗磨谷物使γ-PGA产量增加到2.7 g L–1。此外,粗磨使谷物的内部营养物质可用于发酵,并且这种颗粒大小不会影响发酵过程中的通气。
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引用次数: 3
Prediction of Cement Compressive Strength by Combining Dynamic Models of Neural Networks 结合神经网络动态模型预测水泥抗压强度
IF 1.5 4区 生物学 Q4 BIOTECHNOLOGY & APPLIED MICROBIOLOGY Pub Date : 2021-10-20 DOI: 10.15255/cabeq.2021.1952
D. Tsamatsoulis
This study aimed at developing models predicting cement strength based on shallow neural networks (ANN) using exclusively industrial data. The models used physical, chemical, and early strength results to forecast those for 28and 7-day. Neural networks were trained dynamically for a movable period and then used for a future period of at least one day. The study includes nine types of activation functions. The algorithms use the root mean square errors of testing sets (RMSEFuture) and their robustness as optimization criteria. The RMSEFuture of the best models with optimum ANNs was in the range of 1.36 MPa to 1.63 MPa, which is near or within the area of long-term repeatability of a very competent laboratory. Continuous application of the models in actual conditions of a cement plant in the long-term showed a performance at least equivalent to that calculated during the design step.
本研究旨在开发基于浅层神经网络(ANN)的水泥强度预测模型,该模型仅使用工业数据。模型使用物理、化学和早期强度结果来预测28天和7天的强度。神经网络在一个可移动的时间段内进行动态训练,然后用于至少一天的未来时间段。该研究包括九种类型的激活函数。该算法使用测试集的均方根误差(RMSEFuture)及其鲁棒性作为优化准则。采用最优人工神经网络的最佳模型的RMSEFuture在1.36 ~ 1.63 MPa之间,接近或在一个非常有能力的实验室的长期可重复性范围内。该模型在某水泥厂实际条件下的长期连续应用表明,其性能至少与设计阶段的计算结果相当。
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引用次数: 3
Extraction of the Volatile Oils of Dictyopteris membranacea Batters 1902 by Focused Microwave-assisted Hydrodistillation and Supercritical Carbon Dioxide: Empirical Kinetic Modelling Approach, Apparent Solubility and Rate Constants 聚焦微波辅助加氢蒸馏和超临界二氧化碳萃取1902膜齿苋挥发油的实验动力学模型、表观溶解度和速率常数
IF 1.5 4区 生物学 Q4 BIOTECHNOLOGY & APPLIED MICROBIOLOGY Pub Date : 2021-10-20 DOI: 10.15255/cabeq.2020.1885
Nacera Riad, N. Bouzidi, Mohamed Reda Zahi, O. Touafek, Y. Daghbouche, L. Piovetti, M. El Hattab
Supercritical carbon dioxide extraction (SCCO2) and focused microwave-assisted hydrodistillation (FMAHD) were used comparatively to isolate the volatile oils of the brown alga Dictyopteris membranacea from the crude ether extract. The volatiles fractions were analysed by GC/MS, the major compounds were: dictyopterene A, 6-butyl 1,4-cycloheptadiene, 1-undecen-3-one, 1,4-undecadien-3-one, (3-oxoundec-4-enyl) sulphur, tetradecanoic acid, hexadecanoic acid, 3-hexyl-4,5-dithiacycloheptanone, and albicanol. A kinetics study of the extraction of the volatile fractions obtained by the two processes was carried out, an external calibration allowed to quantify the content of the main metabolites. Empirical models were applied to adjust the experimental kinetics values but also to determine the values of apparent solubilities for SCCO2 and the rate constants for FMAHD. The results obtained revealed that the SCCO2 process was characterized by the coexistence of three distinct phases. For FMAHD, the extraction mechanism included two steps.
采用超临界二氧化碳萃取法(SCCO2)和聚焦微波辅助加氢蒸馏法(FMAHD)从粗乙醚提取物中分离褐藻膜齿藻挥发油。通过GC/MS分析挥发物组分,主要化合物为:dictyopterene A、6-丁基1,4-环庚二烯、1-十一碳烯-3-酮、1,4-十一碳二烯-3-酮、(3-氧代十一碳烯-4-烯基)硫、十四烷酸、十六烷酸、3-己基-4,5-二二环庚酮和albicanol。对通过两种工艺获得的挥发性组分的提取进行了动力学研究,允许进行外部校准以量化主要代谢物的含量。应用经验模型调整实验动力学值,同时确定SCCO2的表观溶解度值和FMAHD的速率常数。所获得的结果表明,SCCO2过程的特征是三个不同相共存。对于FMAHD,提取机制包括两个步骤。
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引用次数: 1
Enhanced Removal Efficiency of Arsenic and Copper from Aqueous Solution Using Activated Acorus calamus Based Adsorbent 活化菖蒲基吸附剂提高对水溶液中砷和铜的去除效果
IF 1.5 4区 生物学 Q4 BIOTECHNOLOGY & APPLIED MICROBIOLOGY Pub Date : 2021-10-20 DOI: 10.15255/cabeq.2021.1943
Anita E. Chand, P. Chand, Gopal Gautam Khatri, Dasu Ram Paudel
Water security, due to heavy metal pollution in water resources, has become a serious problem in modern urbanized society. Plants with a good source of cellulose, hemicellulose, pectin, lignin, etc., are the most promising adsorbents for the removal of heavy metals from water. In this work, for the first time, a low-cost local plant named Acorus calamus (AC; flag root or sweet flag) and citric acid modified AC root powder (CAMAC) were used as potential adsorbents. The samples were characterized by SEM, FT-IR, XRD, and the sorption properties were investigated by different parameters, such as solution pH, batch kinetic study, batch isotherm, effect of adsorbent dose, effect of initial concentration, and effect of contact time. The results of ACRP on removal efficiency of copper (II) and arsenic (III) in an aqueous solution showed an excellent adsorption behavior (~ 80 % adsorption efficiency). This study opens up an easy and economical method for the decontamination of harsh polluting metal ions from water.
由于水资源中的重金属污染,水安全已成为现代城市化社会的一个严重问题。植物具有良好的纤维素、半纤维素、果胶、木质素等来源,是最有前途的去除水中重金属的吸附剂。在这项工作中,首次使用一种名为菖蒲(AC;旗根或甜旗)的低成本本地植物和柠檬酸改性的AC根粉(CAMAC)作为潜在的吸附剂。用SEM、FT-IR、XRD对样品进行了表征,并通过溶液pH、间歇动力学研究、间歇等温线、吸附剂用量的影响、初始浓度的影响和接触时间的影响等不同参数研究了样品的吸附性能。ACRP对水溶液中铜(II)和砷(III)的去除效率的结果显示出优异的吸附行为(~80%的吸附效率)。这项研究为去除水中污染严重的金属离子开辟了一种简单、经济的方法。
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引用次数: 3
Cu(II)-metalated Silica-based Inorganic-Organic Hybrid: Synthesis, Characterization and Its Evaluation for Dye Degradation and Oxidation of Organic Substrates Cu(II)-金属化二氧化硅基无机-有机杂化物的合成、表征及其对有机基质染料降解和氧化的评价
IF 1.5 4区 生物学 Q4 BIOTECHNOLOGY & APPLIED MICROBIOLOGY Pub Date : 2021-10-20 DOI: 10.15255/cabeq.2020.1906
Amreen Naz, S. Arun, Ruby Kumari, S. Narvi, M. Siraj Alam
A. Naz,a S. Arun,b R. Kumari,a S. S. Narvi,a and M. S. Alamc,* aDepartment of Chemistry, Motilal Nehru National Institute of Technology Allahabad, Prayagraj, Uttar Pradesh, India-211004 bDepartment of Chemistry, Dr. Shakuntala Misra National Rehabilitation University, Lucknow, Uttar Pradesh, India-226017 cDepartment of Chemical Engineering, Motilal Nehru National Institute of Technology Allahabad, Prayagraj, Uttar Pradesh, India-211004
A.Naz,A S.Arun,b R.Kumari,A S.S.Narvi,A和M.S.Alamc,*A化学系,Motilal Nehru国家理工学院Allahabad,Prayagraj,Uttar Pradesh,India-21004 b化学系,Shakuntala Misra国立康复大学博士,Lucknow,UttarPradesh,印度北方邦Prayagraj-211004
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引用次数: 1
Anaerobic Fermentation of Substrate with High Nitrogen Content 高含氮底物厌氧发酵研究
IF 1.5 4区 生物学 Q4 BIOTECHNOLOGY & APPLIED MICROBIOLOGY Pub Date : 2021-10-20 DOI: 10.15255/cabeq.2021.1945
Nikolas Gróf, M. Hutňan
This work focuses on anaerobic fermentation of synthetic substrate with high nitrogen content. An anaerobic continuously stirred tank reactor was gradually loaded with synthetic substrate, and the first inhibition was observed on day 110 when the SBP decreased by 20 %. Another significant change was observed on day 135, when SBP dropped to 122 L kg–1 COD. At the same time, a gas washing bottle with hydrochloric acid was connected to capture ammonia from recirculated biogas. With this arrangement, a slight increase in the SBP production to 150 L kg–1 COD was observed. On day 164, the gas washing bottle was changed to two gas washing bottles with fritted discs. After ten days, a significant increase in SBP, to 320 L kg–1 COD, was observed, indicating that the system began to overcome inhibition. From these results, it can be concluded that this method is effective in mitigating ammonia inhibition.
本文主要研究了高含氮合成底物的厌氧发酵。在厌氧连续搅拌槽反应器中逐渐加载合成底物,在第110天观察到第一次抑制作用,SBP下降了20%。第135天,收缩压降至122 L kg-1 COD。同时,连接一个装有盐酸的气体洗涤瓶,从循环沼气中捕获氨。通过这种安排,观察到SBP产量略有增加,达到150 L kg-1 COD。在第164天,将气体洗涤瓶改为两个带熔盘的气体洗涤瓶。10天后,观察到收缩压显著增加,达到320 L kg-1 COD,表明系统开始克服抑制。从这些结果可以看出,该方法可以有效地减轻氨抑制。
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引用次数: 1
A Novel Integration of CWPO Process with Fe3O4@C and Sonication for Oxidative Degradation of 4-Chlorophenol CWPO工艺与Fe3O4@C和超声氧化降解4-氯苯酚
IF 1.5 4区 生物学 Q4 BIOTECHNOLOGY & APPLIED MICROBIOLOGY Pub Date : 2021-10-20 DOI: 10.15255/cabeq.2021.1929
M. Astaraki, Farham Aminsharee, S. Jorfi, R. D. C. Soltani, Mojtaba Nasr Esfihani
M. Astaraki,a,b F. Aminsharei,b,c* S. Jorfi,a,d* R. Darvishi Cheshmeh Soltani,a,e and M. Nasr-Esfahanif aDepartment of Chemical Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran bHuman Environment and Sustainable Development Research Center, Najafabad Branch, Islamic Azad University, Najafabad cDepartment of Safety, Health and Environment, Najafabad Branch, Islamic Azad University, Najafabad, Iran dEnvironmental Technologies Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran eDepartment of Environmental Health Engineering, School of Health, Arak University of Medical Sciences, Arak, Iran fDepartment of Chemistry, Najafabad Branch, Islamic Azad University, Najafabad, Iran
M. Astaraki,a,b . F. Aminsharei,b,c* S. Jorfi,a,d* R. Darvishi Cheshmeh Soltani,a,e and M. Nasr-Esfahanif a伊斯兰阿扎德大学纳贾巴德分校化学工程系,伊朗纳贾巴德b伊斯兰阿扎德大学纳贾巴德分校人类环境与可持续发展研究中心,伊朗纳贾巴德c伊斯兰阿扎德大学纳贾巴德分校安全、健康与环境系,伊朗纳贾巴德环境技术研究中心,伊朗纳贾巴德伊朗阿拉克医科大学卫生学院环境卫生工程系伊朗阿拉克阿拉克伊斯兰阿扎德大学纳贾法巴德分校化学系伊朗纳贾法巴德
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引用次数: 0
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Chemical and Biochemical Engineering Quarterly
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