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Records Added in July 2020
Records added in July 2020
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Showing records 26 to 50 of 140. [First] Page: 1 2 3 4 5 6 Last
Evaluation of Toxicity on Ctenopharyngodon idella Due to Tannery Effluent Remediated by Constructed Wetland Technology
Sobia Ashraf, Muhammad Naveed, Muhammad Afzal, Sana Ashraf, Sajid Rashid Ahmad, Khadeeja Rehman, Zahir Ahmad Zahir, Avelino Núñez-Delgado
July 17, 2020 (v1)
Subject: Biosystems
Keywords: behavioural response, biotoxicity test, constructed wetlands, Ctenopharyngodon idella, morphological changes, treated tannery effluent
Aquatic pollution caused by industrial effluents is an environmental issue, imposing deleterious impacts on the overall environment, specifically, on humans, by disrupting the balance of the ecosystem. Among all the industries, tanneries are considered some of the most polluting due to heavy use of toxic organic and inorganic compounds during leather processing, most of which find their way into rivers, lakes, and streams, thus exerting adverse effects on aquatic life, particularly on fish. Considering the huge concentrations of pollutants present in tannery effluents, toxicity evaluation is of prime importance. Therefore, bioassays are usually employed to assess the acute toxicity of industrial effluents and efficiency of effluent clean-up technologies as they provide a thorough response of test species to the substances present in the tested media. In the present study, the toxic effects of tannery effluent on common grass carp (Ctenopharyngodon idella) were studied for 96 h in labor... [more]
Mathematical Modelling of Blanch-Assisted Drying of Pomegranate (Punica granatum) Arils in a Hot-Air Drier
Adegoke Olusesan Adetoro, Alemayehu Ambaw Tsige, Umezuruike Linus Opara, Olaniyi Amos Fawole
July 17, 2020 (v1)
Keywords: blanching, cultivars, drying kinetics, effective diffusivity, empirical models
The effect of blanching conditions on the hot-air drying kinetics of three pomegranates (cvs. “Acco”, “Herskawitz” and “Wonderful”) were assessed. Water blanching conditions considered were 90 °C for 30 s, 90 °C for 60 s, 100 °C for 30 s and 100 °C for 60 s. The drying experiments were carried out at 60 °C, 19.6% relative humidity and at a constant air velocity of 1.0 m s−1. The experimental curves were fitted to seven different drying models. For the Acco cultivar, the drying behaviour was best predicted by the Logarithmic and Page model for blanched (R2 ranging between 0.9966 and 0.9989) and unblanched (R2 = 0.9918) samples, respectively. Furthermore, for the Herskawitz cultivar, Logarithm, Page and Midili models were most suitable for predicting drying behaviour of both blanched and unblanched samples. Also, for the Wonderful cultivar, Logarithm and Midili models were most accurate for predicting the drying behaviour for both blanched and unblanched samples amongst other models. The... [more]
Compound Identification and In Vitro Cytotoxicity of the Supercritical Carbon Dioxide Extract of Papaya Freeze-Dried Leaf Juice
Kooi-Yeong Khaw, Paul Nicholas Shaw, Marie-Odile Parat, Saurabh Pandey, James Robert Falconer
July 17, 2020 (v1)
Keywords: cytotoxic compound, mass spectroscopy, phytosterol, stigmasterol, supercritical fluids, ultra-high-pressure liquid chromatography
Carica papaya leaves are used as a remedy for the management of cancer. Freeze-dried C. papaya leaf juice was extracted using a supercritical fluid extraction system. Compound identification was carried out using analytical techniques including liquid chromatography coupled to high-resolution quadrupole time-of-flight mass spectrometry (LC−QToF-MS) and gas chromatography−mass spectrometry (GC−MS). The cytotoxic activities of the scCO2 extract and its chemical constituents were determined using the 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) assay on squamous cell carcinoma (SCC25) and human keratinocyte (HaCaT) cell lines. The chemical constituents were quantified by QToF-MS. The supercritical carbon dioxide (scCO2) extract of papaya freeze-dried leaf juice showed cytotoxic activity against SCC25. Three phytosterols, namely, β-sitosterol, campesterol, and stigmasterol, together with α-tocopherol, were confirmed to be present in the scCO2 extract. Quantitative ana... [more]
Research on State Recognition and Failure Prediction of Axial Piston Pump Based on Performance Degradation Data
Rui Guo, Zhiqian Zhao, Saiyu Huo, Zhijie Jin, Jingyi Zhao, Dianrong Gao
July 17, 2020 (v1)
Keywords: axial piston pump, degraded state recognition, failure prediction, Gaussian process regression, multi-class Gaussian process classification, multi-scale permutation entropy
Degradation state recognition and failure prediction are the key steps of prognostic and health management (PHM), which directly affect the reliability of the equipment and the selection of preventive maintenance strategy. Given the problem that the distinction between feature vectors is not obvious and the accuracy of fault prediction is low, a method based on multi-class Gaussian process classification and Gaussian process regression (GPR) is studied by the vibration signal and flow signal in six degraded states of the axial piston pump. For degradation state recognition, the variational mode decomposition (VMD) was used to decompose the vibration signal, and obtaining intrinsic mode function (IMF) components with rich information. Subsequently, multi-scale permutation entropy (MPE) was employed to select feature vectors of IMF components in different states. In order to reduce feature dimensions and improve recognition performance, ReliefF was used to select feature vectors with hig... [more]
Experimental Analysis of the Performance and Load Cycling of a Polymer Electrolyte Membrane Fuel Cell
Andrea Ramírez-Cruzado, Blanca Ramírez-Peña, Rosario Vélez-García, Alfredo Iranzo, José Guerra
July 17, 2020 (v1)
Keywords: fuel cell, load cycling, New European Driving Cycle, polarization curve, polymer electrolyte membrane
In this work, a comprehensive experimental analysis on the performance of a 50 cm2 polymer electrolyte membrane (PEM) fuel cell is presented, including experimental results for a dedicated load cycling test. The harmonized testing protocols defined by the Joint Research Centre (JRC) of the European Commission for automotive applications were followed. With respect to a reference conditions representative of automotive applications, the impact of variations in the cell temperature, reactants pressure, and cathode stoichiometry was analyzed. The results showed that a higher temperature resulted in an increase in cell performance. A higher operating pressure also resulted in higher cell voltages. Higher cathode stoichiometry values negatively affected the cell performance, as relatively dry air was supplied, thus promoting the dry-out of the cell. However, a too low stoichiometry caused a sudden drop in the cell voltage at higher current densities, and also caused significant cell voltage... [more]
An Innovative Design of an Integrated MED-TVC and Reverse Osmosis System for Seawater Desalination: Process Explanation and Performance Evaluation
Omer Mohamed Abubaker Al-hotmani, Mudhar Abdul Alwahab Al-Obaidi, Yakubu Mandafiya John, Raj Patel, Iqbal Mohammed Mujtaba
July 17, 2020 (v1)
Keywords: integrated system of MED_TVC and double RO processes, performance assessment, permeate and retentate reprocessing RO processes (PRRO and RRRO), seawater desalination, Simulation
In recent times two or more desalination processes have been combined to form integrated systems that have been widely used to resolve the limitations of individual processes as well as producing high performance systems. In this regard, a simple integrated system of the Multi Effect Distillation (MED)/Thermal Vapour Compression (TVC) and Permeate Reprocessing Reverse Osmosis (PRRO) process was developed by the same authors and confirmed its validity after a comparison study against other developed configurations. However, this design has a considerable amount of retentate flowrate and low productivity. To resolve this issue, two novel designs of MED and double reverse osmosis (RO) processes including Permeate and Retentate Reprocessing designs (PRRP and RRRO) are developed and modelled in this paper. To systematically assess the consistency of the presented designs, the performance indicators of the novel designs are compared against previous simple designs of MED and PRRO processes a... [more]
AOC-OPTICS: Automatic Online Classification for Condition Monitoring of Rolling Bearing
Hassane Hotait, Xavier Chiementin, Lanto Rasolofondraibe
July 17, 2020 (v1)
Keywords: classification, condition monitoring, OPTICS, rolling bearing
Bearings are essential components in rotating machines. They ensure the rotation and power transmission. So, these components are essential elements for industrial machines. Thus, real-time monitoring is required to detect a possible anomaly, diagnose the failure of rolling bearing and follow its evolution. This paper presents a methodology for automatic online implementation of fault diagnosis of rolling bearings, by AOC-OPTICS (automatic online classification monitoring based on ordering points to identify clustering structure, OPTICS). The algorithm consists of three phases namely: initialization, detection and follow-up. These phases use the combination of features extraction methods, smart ranking, features weighting and classification by the OPTICS method. Two methods have been integrated in the dimension reduction step to improve the efficiency of detection and the followed of the defect (relief method and t-distributed stochastic neighbor embedding method). Thus, the determinat... [more]
Model Calibration of Stochastic Process and Computer Experiment for MVO Analysis of Multi-Low-Frequency Electromagnetic Data
Muhammad Naeim Mohd Aris, Hanita Daud, Khairul Arifin Mohd Noh, Sarat Chandra Dass
July 17, 2020 (v1)
Keywords: computer experiment, computer simulation, CST software, EM data, Gaussian process, MVO analysis, stochastic process
An electromagnetic (EM) technique is employed in seabed logging (SBL) to detect offshore hydrocarbon-saturated reservoirs. In risk analysis for hydrocarbon exploration, computer simulation for subsurface modelling is a crucial task. It can be expensive and time-consuming due to its complicated mathematical equations, and only a few realizations of input-output pairs can be generated after a very lengthy computational time. Understanding the unknown functions without any uncertainty measurement could be very challenging as well. We proposed model calibration between a stochastic process and computer experiment for magnitude versus offset (MVO) analysis. Two-dimensional (2D) Gaussian process (GP) models were developed for low-frequencies of 0.0625−0.5 Hz at different hydrocarbon depths to estimate EM responses at untried observations with less time consumption. The calculated error measurements revealed that the estimates were well-matched with the computer simulation technology (CST) ou... [more]
Inside−Out Method for Simulating a Reactive Distillation Process
Liang Wang, Xiaoyan Sun, Li Xia, Jianping Wang, Shuguang Xiang
July 17, 2020 (v1)
Keywords: Inside–Out method, numerical simulation, Reactive Distillation, steady state simulation
Reactive distillation is a technical procedure that promotes material strengthening and its simulation plays an important role in the design, research, and optimization of reactive distillation. The solution to the equilibrium mathematical model of the reactive distillation process involves the calculation of a set of nonlinear equations. In view of the mutual influence between reaction and distillation, the nonlinear enhancement of the mathematical model and the iterative calculation process are prone to fluctuations. In this study, an improved Inside−Out method was proposed to solve the reaction distillation process. The improved Inside−Out methods mainly involved—(1) the derivation of a new calculation method for the K value of the approximate thermodynamic model from the molar fraction summation equation and simplifying the calculation process of the K value, as a result; and (2) proposal for an initial value estimation method suitable for the reactive distillation process. The alg... [more]
Metal Chlorides Grafted on SAPO-5 (MClx/SAPO-5) as Reusable and Superior Catalysts for Acylation of 2-Methylfuran Under Non-Microwave Instant Heating Condition
Ismail Alhassan Auwal, Ka-Lun Wong, Tau Chuan Ling, Boon Seng Ooi, Eng-Poh Ng
July 17, 2020 (v1)
Keywords: acylation, grafting, metal chloride, non-microwave instant heating, silicoaluminophosphate number 5 (SAPO-5), thermochemical activation
Highly active metal chlorides grafted on silicoaluminophosphate number 5, MClx/SAPO-5 (M = Cu, Co, Sn, Fe and Zn) catalysts via simple grafting of respective metal chlorides (MClx) onto SAPO-5 are reported. The study shows that thermochemical treatment after grafting is essential to ensure the formation of chemical bondings between MClx and SAPO-5. In addition, the microscopy, XRD and nitrogen adsorption analyses reveal the homogeneous distribution of MClx species on the SAPO-5 surface. Furthermore, the elemental microanalysis confirms the formation of Si−O−M covalent bonds in ZnClx/SAPO-5, SnClx/SAPO-5 and FeClx/SAPO-5 whereas only dative bondings are formed in CoClx/SAPO-5 and CuClx/SAPO-5. The acidity of MClx/SAPO-5 is also affected by the type of metal chloride grafted. Thus, their catalytic behavior is evaluated in the acid-catalyzed acylation of 2-methylfuran under novel non-microwave instant heating conditions (90−110 °C, 0−20 min). ZnClx/SAPO-5, which has the largest amount of... [more]
Collision Modes of Two Eccentric Compound Droplets
Khanh P. Nguyen, Truong V. Vu
July 17, 2020 (v1)
Keywords: collision, eccentric compound droplet, merging, passing-over, reversing
A compound droplet with its single inner droplet appears in a broad range of applications and has received much attention in recent years. However, the role of the inner droplet location on the dynamical behaviors of the compound droplet is still not completely understood. Accordingly, the present study numerically deals with the eccentricity of the compound droplet affecting its colliding behaviors with the other droplet in a simple shear flow. The solving method is a front-tracking technique that treats the droplet interface as connected elements moving on a rectangular fixed grid. Initially, two compound droplets assumed circular are placed at a distance symmetrically to the domain center and they come into contact, because of the shear flow, when time progresses. During the collision process, the inner droplet that is initially located at a distance to its outer droplet center circulates around this center. It is found that this rotation also contributes to the formation of the col... [more]
Treatment of Landfill Leachate Using Palm Oil Mill Effluent
Tawfiq J. H. Banch, Marlia M. Hanafiah, Salem S. Abu Amr, Abbas F. M. Alkarkhi, Mohammed Hasan
July 17, 2020 (v1)
Keywords: landfill, leachate treatment, mixing ratio, POME, removal efficiency
Sanitary landfilling is the most common method of removing urban solid waste in developing countries. Landfills contain high levels of organic materials, ammonia, and heavy metals, thereby producing leachate which causes a possible future pollution of ground and surface water. Recently, agricultural waste was considered a co-substratum to promote the biodegradation of organics in industrial wastewater. The use of low-cost and natural materials for wastewater treatment is now being considered by many researchers. In this study, palm oil mill effluent (POME) was used for treating stabilized leachate from old landfill. A set of preliminary experiments using different POME/leachate ratios and aeration times was performed to identify the setting of experimental design and optimize the effect of employing POME on four responses: chemical oxygen demand (COD), total suspended solids (TSS), color, and ammoniacal nitrogen (NH3-N). The treatment efficiency was evaluated based on the removal of fo... [more]
Valuation of the Energy Performance of a Greenhouse with an Electric Heater Using Numerical Simulations
Cruz Ernesto Aguilar-Rodriguez, Jorge Flores-Velazquez, Waldo Ojeda-Bustamante, Fernando Rojano, Mauro Iñiguez-Covarrubias
July 17, 2020 (v1)
Keywords: Computational Fluid Dynamics (CFD), crop requirements, energy engineering, thermal stratification
In Mexico, there are regions where the temperature drops below the minimum threshold for tomato cultivation (10 °C), requiring the implementation of auxiliary equipment to heat greenhouse air. The objective of this work was to estimate the energy consumption necessary to maintain climate requirements of a greenhouse located in Texcoco, State of Mexico, by using a model of energy balance implemented on Computational Fluid Dynamics (CFD) simulations. The temperature prediction relied on a numerical model based on CFD, proposing a benchmarking on the position and direction of the heater to estimate its effect on the thermal distribution. Results indicated that heater operation on January 2019, a power of 85.56 kW was needed to keep the greenhouse at 12 °C. Also, simulations indicated that electric heater used was not enough to get a homogeneous temperature inside the greenhouse. To achieve well-distributed thermal conditions, it was necessary to consider both the direction and position of... [more]
Untangling the Potential of Carbon Quantum Dots in Neurodegenerative Disease
Lindsey Jung, Prakash Narayan, Sreeprasad T. Sreenivasan, Mahesh Narayan
July 17, 2020 (v1)
Subject: Biosystems
Keywords: carbon quantum dots, heterogeneity, structure
The transitioning of carbon quantum dot (cQD) applications from electrochemistry, catalysis and environmental sensing to biomedicine represents an important milestone in its 15-year history; a bellwether for its yet-unrealized potential in interventional biology, imaging, diagnostics, prophylaxis and therapy. However, despite the significant advances made over the last decade in several areas of the cQD domain, our knowledge of the exact chemical ipseity of cQDs at the Angstrom level remains either in its infancy or is largely ignored. The imminent crossing over of cQDs into biological systems and into the blood−brain barrier demands attention to the critical, yet unmet, need to resolve the inherent heterogeneity in cQD preparations and their separation into purified conformers, to identify the issues associated with potential cytotoxicity as well as to examine their bioavailability. Perhaps most importantly, and ironically neglected as well, is the compelling urgency to obtain an atom... [more]
Activated Sludge Respiration Activity Inhibition Caused by Mobile Toilet Chemicals
Tomáš Vítěz, Monika Vítězová, Markéta Nováčková, Ivan Kushkevych
July 17, 2020 (v1)
Subject: Biosystems
Keywords: activated sludge, biological oxygen demand, bronopol, chemical toilets, formaldehyde
Ensuring high quality drinking water sources is important task nowadays. To reach this task, knowledge about the impact of different chemicals on aerobic wastewater treatment is mandatory. A mixture of different chemicals reaches wastewater treatment plant every day. With the growing discharge volume of mobile toilet chemicals, active substances in these products in the past years have been recorded. The respiratory activity of activated sludge was determined to show how mobile toilet chemicals and their active substances may affect the biological wastewater treatment process. The results show negative effect of formaldehyde and bronopol on respiratory activity of activated sludge. The wastewater treatment plants influent composition and size also play important roles. Results shows that activated sludge microorganisms at a wastewater treatment plant in industrial urban area may be adapted to the higher pollutants concentration. When mobile toilet tanks are directly discharged at small... [more]
Extensional Magnetorheology as a Tool for Optimizing the Formulation of Ferrofluids in Oil-Spill Clean-Up Processes
José Hermenegildo García-Ortiz, Francisco José Galindo-Rosales
July 17, 2020 (v1)
Subject: Other
Keywords: extensional magneto-rheology, ferrofluids, magnetic clean-up process, nanofluids, oil-spills
In this study, we propose a new way of optimising the formulation of ferrofluids for oil-spill clean-up processes, based on the rheological behaviour under extensional flow and magnetic fields. Different commercial ferrofluids (FFs), consisting of a set of six ferrofluids with different magnetic saturation and particle concentration, were characterised in a Capillary Break-Up Extensional Rheometer (CaBER) equipped with two magnetorheological cells that allow imposing a homogeneous and tunable magnetic field either parallel or perpendicular to the flow direction. The filament thinning process with different intensities and orientation of the magnetic field with respect to the flow direction was analysed, and the results showed that the perpendicular configuration did not have a significant effect on the behaviour of the ferrofluids, as in shear magnetorheometry. However, the parallel configuration allowed to determine that the formulation of ferrofluids for oil-spill cleaning processes... [more]
Does Strategic Corporate Social Responsibility Drive Better Organizational Performance through Integration with a Public Sector Scorecard? Empirical Evidence in a Developing Country
Pham Quang Huy, Vu Kien Phuc
July 17, 2020 (v1)
Subject: Other
Keywords: corporate social responsibility, corporate social responsibility disclosure, organizational performance, public sector scorecard
This paper sets its sights on propounding a structural model to delve into the interrelationship between the impact of the integration of corporate social responsibility activities into the public sector scorecard management framework on the corporate social responsibility disclosure and enhancement of the organizational performance among public sector organizations. The conceptual framework in company with hypothesis framing were established after examining the related literature. Data were gathered from a sample of 723 respondents in public sector organizations in South Vietnam via convenience sampling method. Structural equation modeling was employed to validate the goodness of model fit and examine the hypotheses. These findings revealed that integration of corporate social responsibility activities into the public sector scorecard management framework was significantly and positively related to the corporate social responsibility disclosure and organizational performance. Addition... [more]
Applying Differential Neural Networks to Characterize Microbial Interactions in an Ex Vivo Gastrointestinal Gut Simulator
Misael Sebastián Gradilla-Hernández, Alejandro García-González, Anne Gschaedler, Enrique J. Herrera-López, Marisela González-Avila, Ricardo García-Gamboa, Carlos Yebra Montes, Rita Q. Fuentes-Aguilar
July 17, 2020 (v1)
Keywords: differential neural network, generalized Lotka-Volterra model, microbial interactions, mixed cultures
The structure of mixed microbial cultures—such as the human gut microbiota—is influenced by a complex interplay of interactions among its community members. The objective of this study was to propose a strategy to characterize microbial interactions between particular members of the community occurring in a simulator of the human gastrointestinal tract used as the experimental system. Four runs were carried out separately in the simulator: two of them were fed with a normal diet (control system), and two more had the same diet supplemented with agave fructans (fructan-supplemented system). The growth kinetics of Lactobacillus spp., Bifidobacterium spp., Salmonella spp., and Clostridium spp. were assessed in the different colon sections of the simulator for a nine-day period. The time series of microbial concentrations were used to estimate specific growth rates and pair-wise interaction coefficients as considered by the generalized Lotka-Volterra (gLV) model. A differential neural netw... [more]
Distinct and Quantitative Validation for Predictive Process Modelling in Steam Distillation of Caraway Fruits and Lavender Flower Following a Quality-By-Design (QbD) Approach
Thorsten Roth, Lukas Uhlenbrock, Jochen Strube
July 17, 2020 (v1)
Keywords: caraway, Carum carvi, essential oil, Lavandula, lavender, Modelling, physico-chemical model, steam distillation
A quality by design (QbD) approach as part of process development in the regulated, pharmaceutical industry requires many experiments. Due to the large number, process development is time consuming and cost intensive. A key to modern process development to reduce the number of required experiments is a predictive simulation with a validated physico-chemical model. In order to expand the process expertise of steam distillation through maximum information, a model development workflow is used in this paper, which focuses on implementation, verification, parametrization and validation of a physico-chemical model. Process robustness and sensitivity of target values can be determined from the developed general model and design of experiments with statistical evaluations. The model validation is exemplified by two different types of plant systems, caraway fruits (Carum Carvi) and lavender flowers (Lavandula).
Cold Sintering as a Cost-Effective Process to Manufacture Porous Zinc Electrodes for Rechargeable Zinc-Air Batteries
Kaushik Jayasayee, Simon Clark, Cara King, Paul Inge Dahl, Julian Richard Tolchard, Mari Juel
July 17, 2020 (v1)
Subject: Materials
Keywords: cold sintering, metal-air battery, shape change, zinc-air battery, Zn anodes
Zinc-air batteries (ZABs) offer a sustainable and safe pathway to low-cost energy storage. Recent research shows that thermally-sintered porous Zn electrodes with a three-dimensional network structure can enhance the performance and lifetime of ZABs, but they are expensive and energy-intensive to manufacture. In this work, monolithic porous Zn electrodes fabricated through an efficient cold sintering process (CSP) were studied for rechargeable ZABs. Electrochemical studies and extended charge-discharge cycling show good Zn utilization with no observable performance degradation when compared to Zn foil. Post-mortem analysis after 152 h of cycling reveals that the cold-sintered electrodes retain their original structure. A techno-economic assessment of the cold sintering process confirms significant reductions in both the time and energy required to manufacture Zn electrodes compared to a comparable thermal sintering process.
Landfill GHG Reduction through Different Microbial Methane Oxidation Biocovers
Isabella Pecorini, Renato Iannelli
July 17, 2020 (v1)
Subject: Biosystems
Keywords: biocovers, biofiltration systems, greenhouse gases emissions mitigation, landfill odor mitigation, microbial methane oxidation
Emissions from daily and final covers of municipal solid waste (MSW) landfills can produce significant impacts on local and global environments. Simplifying, landfills can cause local impacts with odor emissions and global impacts with GHGs. This work focuses on hydrogen sulfide (H2S) and methane (CH4) emissions, with the aim of studying how it is possible to reduce their impacts by means of biofiltration systems. Both field and laboratory investigations have been carried out in Casa Rota Landfill (Tuscany, Italy). In the field trials, four pilot-scale biocovers made of compost from a source-selected organic fraction (SS compost), compost from a mechanical biological treatment plant—the residual fractions of the MSW, a mixed compost (SS-MSW compost) and sand were monitored in the daily cover area of the landfill, where high emissions were detected. Results showed that high CH4 and H2S emissions reductions occurred in the mixed SS-MSW compost plot, given a maximum methane oxidation effi... [more]
A Novel Process of H2/CO2 Membrane Separation of Shifted Syngas Coupled with Gasoil Hydrogenation
Weirong Huang, Xiaobin Jiang, Gaohong He, Xuehua Ruan, Bo Chen, Aazad Khan Nizamani, Xiangcun Li, Xuemei Wu, Wu Xiao
July 17, 2020 (v1)
Keywords: Carbon Dioxide, gasoil hydrogenation, Hydrogen, PEO membrane, PI membrane, separation
A novel process of membrane separation for H2/CO2 of shifted syngas coupled with gasoil hydrogenation (NMGH) is proposed. First, a new process, with two-stage CO2-selective and one-stage H2-selective membranes, was developed to substitute the conventional PSA separation devices to remove CO2 and purify H2 in coal gasification refineries to reduce energy consumption and investment costs. Then, the process was coupled with gasoil hydrogenation and the recycled H2 produced by the hydrogenation reactor could be further purified by the H2-selective membrane, which increased the H2 concentration of the hydrogenation reactor inlet by about 11 mol.% compared with the conventional direct recycling process, and the total system pressure was reduced by about 2470 kPa. At the same time, this additional membrane separation and purification prevented the accumulation of CO/CO2 in the recycled H2, which ensured the activity of the catalyst in the reactor and the long-term stable operation of the devi... [more]
Metabolic Regulation Analysis of Ajmalicine Biosynthesis Pathway in Catharanthus roseus (L.) G. Don Suspension Culture Using Nanosensor
Ghazala Ambrin, Hayssam M. Ali, Altaf Ahmad
July 17, 2020 (v1)
Subject: Biosystems
Keywords: ajmalicine, Catharanthus roseus, fluxomics, nanosensor, TIA pathway
Ajmalicine is one of the most popular antihypertensive drugs obtained from the root barks of Cathranthus roseus (L.) G. Don and Rauvolfia serpentine (L.) Benth. ex Kurz. It has also potential antimicrobial, cytotoxic, central depressant and antioxidant activities. As the demand for the alkaloid is significantly high, metabolic engineering approaches are being tried to increase its production in both homologous and heterologous systems. The metabolic engineering approach requires knowledge of the metabolic regulation of the alkaloid. For understanding the metabolic regulation, fluxomic analysis is important as it helps in understanding the flux of the alkaloid through the complicated metabolic pathway. The present study was conducted to analyse the flux analysis of the ajmalicine biosynthesis, using a genetically encoded Fluorescent Resonance Energy Transfer FRET-based nanosensor for ajmalicine (FLIP-Ajn). Here, we have silenced six important genes of terpenoid indole alkaloid (TIA), na... [more]
Optimization Study of Biomass Hydrogenation to Ethylene Glycol Using Response Surface Methodology
Poh Gaik Law, Noor Haida Sebran, Ashraf Zin Zawawi, Azlan Shah Hussain
July 17, 2020 (v1)
Keywords: biomass hydrogenation, central composite design (CCD), empty fruit bunches (EFB), ethylene glycol (EG), response surface methodology (RSM)
Statistical-based study using response surface methodology (RSM) was conducted to study the effects of process parameters towards biomass hydrogenation. Using Malaysian oil palm empty fruit bunches (EFB) fibres as feedstock, the central composite design (CCD) technique was employed and 18 runs were generated by CCD when four parameters (mass ratio of binary catalyst, hydrogen pressure, temperature and mass ratio of catalyst to feedstock) were varied with two center points to determine the effects of process parameters and eventually to get optimum ethylene glycol (EG) yield. RSM with quadratic function was generated for biomass hydrogenation, indicating all factors except temperature, were important in determining EG yield. Analysis of variance (ANOVA) showed a high coefficient of determination (R2) value of >0.98, ensuring a satisfactory prediction of the quadratic model with experimental data. The quadratic model suggested the optimum EG yield should be >25 wt.% and the EG yield resu... [more]
Dynamic Optimization of a Fed-Batch Nosiheptide Reactor
Alistair D. Rodman, Samir Diab, Dimitrios I. Gerogiorgis
July 17, 2020 (v1)
Keywords: dynamic optimization, fed-batch process, nosiheptide, pharmaceutical manufacturing
Nosiheptide is a sulfur-containing peptide antibiotic, showing exceptional activity against critical pathogens such as methicillin-resistant Staphylococcus aureus (MRSA) and vancomycin-resistant Enterococci (VRE) with livestock applications that can be synthesized via fed-batch fermentation. A simplified mechanistic fed-batch fermentation model for nosiheptide production considers temperature- and pH-dependence of biomass growth, substrate consumption, nosiheptide production and oxygen mass transfer into the broth. Herein, we perform dynamic simulation over a broad range of possible feeding policies to understand and visualize the region of attainable reactor performances. We then formulate a dynamic optimization problem for maximization of nosiheptide production for different constraints of batch duration and operability limits. A direct method for dynamic optimization (simultaneous strategy) is performed in each case to compute the optimal control trajectories. Orthogonal polynomials... [more]
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