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Showing records 38025 to 38049 of 43292. [First] Page: 1 1518 1519 1520 1521 1522 1523 1524 1525 1526 Last
Cyclic Production of Galacto-Oligosaccharides through Ultrafiltration-Assisted Enzyme Recovery
Teng Cao, Zoltán Kovács, Márta Ladányi
February 21, 2023 (v1)
Subject: Optimization
Keywords: Biolacta N5, enzyme membrane reactor, galacto-oligosaccharides (GOS), lactose, ultrafiltration, β-galactosidase
Galacto-oligosaccharides (GOS) are prebiotics manufactured enzymatically from lactose as substrate. The growing GOS market facilitates the valorization of dairy by-products which represent cheap and abundant sources of lactose. Large-scale GOS production typically employs soluble enzymes in batch reactors that are commonly associated with low enzyme usability and, therefore, high operational expenditures. In this study, we investigate the possibility of recovering enzymes by ultrafiltration (UF) and reusing them in repeated reaction steps. The proposed process scheme included 24 h batch reaction steps with Biolacta N5, a commercial enzyme preparation of Bacillus circulans origin. The reaction steps were followed by UF steps to separate the carbohydrate products from the enzymes by applying a volume concentration factor of 8.6. Then, the collected biocatalysts were reused for repeated cycles by adding fresh lactose. Enzyme losses were quantified with a direct method by analyzing the und... [more]
Identification of Cell Culture Factors Influencing Afucosylation Levels in Monoclonal Antibodies by Partial Least-Squares Regression and Variable Importance Metrics
Adam J. Rish, Zhuangrong Huang, Khandaker Siddiquee, Jianlin Xu, Carl A. Anderson, Michael C. Borys, Anurag Khetan
February 21, 2023 (v1)
Keywords: afucosylation, cell culture, monoclonal antibodies, partial least-squares regression (PLSR), selectivity ratio (SR), significance multivariate correlation (sMC), variable importance in projection (VIP) scores, variable importance metric
Retrospective analysis of historic data for cell culture processes is a powerful tool to develop further process understanding. In particular, deploying retrospective analyses can identify important cell culture process parameters for controlling critical quality attributes, e.g., afucosylation, for the production of monoclonal antibodies (mAbs). However, a challenge of analyzing large cell culture data is the high correlation between regressors (particularly media composition), which makes traditional analyses, such as analysis of variance and multivariate linear regression, inappropriate. Instead, partial least-squares regression (PLSR) models, in combination with machine learning techniques such as variable importance metrics, are an orthogonal or alternative approach to identifying important regressors and overcoming the challenge of a highly covariant data structure. A specific workflow for the retrospective analysis of cell culture data is proposed that covers data curation, PLS... [more]
Thermal, Lighting and IAQ Control System for Energy Saving and Comfort Management
Silvia Maria Zanoli, Crescenzo Pepe
February 21, 2023 (v1)
Keywords: comfort management, control system, discrete event dynamic systems, energy saving, home and building automation, indoor air quality, proportional–integral–derivative, renewable resources
The present work proposes a simulation and control framework for home and building automation, focusing on heating, ventilating, and air conditioning processes. Control systems based on different advanced control architectures and different control policies are simulated and compared, highlighting control performances, and energy-saving results in terms of CO2 emissions reduction. Heat, lighting, and natural ventilation phenomena were modelized through first-principles and empirical equations, obtaining a reliable and flexible simulation framework. Energy-consuming and green energy-supplying renewable sources were integrated into the framework, e.g., heat pumps, artificial lights, fresh air flow, and natural illuminance. Different control schemes are proposed, based on proportional−integral−derivative advanced control architectures and discrete event dynamic systems-based supervisors; different control specifications are included, resulting in a multi-mode control system. The specifica... [more]
Prediction Method of Tunnel Natural Wind Based on Open-Source Meteorological Parameters
Yangqin Ni, Mingnian Wang, Zhenghui Ge, Yuxuan Guo, Changling Han, Anmin Wang, Jingyu Chen, Tao Yan
February 21, 2023 (v1)
Keywords: meteorological parameter, MLP, NARX, tunnel natural wind prediction
The rational use of natural wind in extra-long tunnels for feedforward operation ventilation control can dramatically reduce tunnel operation costs. However, traditional tunnel natural wind calculation theory lacks a prediction function. This paper proposes a three-stage tunnel natural wind prediction method relying on the Yanglin Tunnel in Yunnan, China based on the massive meteorological parameters provided by the open-source national meteorological stations around the tunnel, which make up for the partial deficiency of the meteorological parameters of the tunnel portal. The multi-layer perceptron model (MLP) was used to predict the real-time meteorological parameters of the tunnel portal using the data from four national meteorological stations. The nonlinear autoregressive network model (NARX) was used to predict the meteorological parameters of the tunnel portal in the next period based on the predicted and measured real-time data. The natural wind speed in the tunnel was obtained... [more]
Omega Phase Formation and Mechanical Properties of Ti−1.5 wt.% Mo and Ti−15 wt.% Mo Alloys after High-Pressure Torsion
Alena S. Gornakova, Anna Korneva, Alexander I. Tyurin, Natalia S. Afonikova, Askar R. Kilmametov, Boris B. Straumal
February 21, 2023 (v1)
Subject: Materials
Keywords: hardness, high-pressure torsion, nanoindentation, pre-annealing, titanium alloys, Young’s modulus
The paper analyzes the effect of severe plastic deformation by the high-pressure torsion (HPT) on phase transformations, in particular, on the formation of the ω-phase, and on mechanical properties, such as hardness and Young’s modulus, in Ti alloys with 1.5 and 15 wt.% Mo. Both alloys were pre-annealed at 1000 °C for 24 h and quenched. The microstructure of the initial Ti−1.5 wt.% Mo alloy consisted of the α-phase and α’-martensite, and the initial Ti−15 wt.% Mo alloy contained polycrystalline β solid solution. The hardness tests of the samples were carried out under the load of 10 and 200 mN. The annealed alloys were subjected to HPT, and the micro- and nanohardness of both deformed samples increased up to ~1 GPa compared to their initial state. It turned out that the values of hardness (H) and Young’s modulus (E) depend on the applied load on the indenter: the higher the applied load, the lower H and higher E. It was also found that the HPT leads to the 30% increase in E for an allo... [more]
A Spark Streaming-Based Early Warning Model for Gas Concentration Prediction
Yuxin Huang, Shugang Li, Jingdao Fan, Zhenguo Yan, Chuan Li
February 21, 2023 (v1)
Keywords: early warning, gas concentration prediction, GRU model, PSO model, Spark Streaming
The prediction and early warning efficiency of mine gas concentrations are important for intelligent monitoring of daily gas concentrations in coal mines. It is used as an important means for ensuring the safe and stable operation of coal mines. This study proposes an early warning model for gas concentration prediction involving the Spark Streaming framework (SSF). The model incorporates a particle swarm optimisation algorithm (PSO) and a gated recurrent unit (GRU) model in the SSF, and further experimental analysis is carried out on the basis of optimising the model parameters. The operational efficiency of the model is validated using a control variable approach, and the prediction and warning errors is verified using MAE, RMSE and R2. The results show that the model is able to predict and warn of the gas concentration with high efficiency and high accuracy. It also features fast data processing and fault tolerance, which provides a new idea to continue improving the gas concentrati... [more]
The Impact of Off-Farm Employment on Farmland Production Efficiency: An Empirical Study Based in Jiangsu Province, China
Yi Hou, Xing Ji, Jia Chen, Hongxiao Zhang
February 21, 2023 (v1)
Keywords: farmland production efficiency, off-farm employment, U-shaped curve
The secret to ensuring food security and the growth of agricultural development is farmland production efficiency. In the context of urbanization, this means that farmers need to increase their off-farm employment behavior. The research goal of this paper is to explore whether this will have a impact on farmland production. This paper is based on the data of the China Land Economic Survey conducted by Nanjing Agricultural University and uses Tobit and other methods to conduct empirical tests. The main findings of this paper are as follows: (1) When the proportion of the household’s off-farm employment time is less than 73%, an increase in off-farm employment reduces farmland production efficiency. When the proportion of the household’s off-farm employment time exceeds 73%, an increase in off-farm employment increases the farmland production efficiency. (2) This paper eliminates the scale efficiency contribution in farmland production efficiency to obtain pure technical production effic... [more]
Applications of Fractional Partial Differential Equations for MHD Casson Fluid Flow with Innovative Ternary Nanoparticles
Muhammad Imran Asjad, Rizwan Karim, Abid Hussanan, Azhar Iqbal, Sayed M. Eldin
February 21, 2023 (v1)
Subject: Materials
Keywords: comparison, generalized laws, hybrid nanoparticle, mono nanoparticle, Prabhakar fractional derivative, ternary nanoparticle
This study deals with the modeling issues of the transport problem with a fractional operator. The fractional model with generalized Fourier’s law is discussed for Casson fluid flow over a flat surface. The dimensionless governing model is solved with the Laplace transform method, and the different comparisons are plotted from the obtained solutions. Other features of the problem have been analyzed instead of the symmetric behavior of the properties for different values of the fractional parameter. As a result, the ternary nanoparticles approach can be used to improve the fluid properties better than hybrid and mono nanoparticles. Further, it is evident that the law-based fractional model is more accurate and efficient in fitting any experimental data instead of an artificial replacement.
Perstraction: A Membrane-Assisted Liquid−Liquid Extraction of PFOA from Water
Catherine B. Almquist, Linda Garza, Megan Flood, Anne Carroll, Ryan Armstrong, Sean Chen, Christopher Marcellino
February 21, 2023 (v1)
Keywords: PDMS membrane, perstraction, PFOA
This study represents a first time that perstraction was assessed as a process to remove perfluorooctanoic acid (PFOA) from water. In the perstraction process, PFOA permeates through a membrane from water to a solvent. The membrane used in this study was polydimethylsiloxane (PDMS). The experimental approach included the following: (1) measurement of partition coefficients for PFOA between water and selected solvents; (2) determination of solubility and diffusivity of the solvents in PDMS; (3) determination of the uptake of PFOA in PDMS; (4) determination of the effects of selected particles imbedded in the PDMS on PFOA uptake and solvent absorption; and (5) demonstration of the perstraction process to remove PFOA from water. PFOA preferentially partitioned to alcohols over water. In addition, ZnO and CuO particles in PDMS significantly enhanced the rate at which PFOA was absorbed in PDMS from deionized water due to ionic interactions. The perstraction of PFOA from deionized water into... [more]
The Hormetic Response of Soil P Extraction Induced by Low-Molecular-Weight Organic Acids
Kuan Zhao, Cong Wang, Xin Xiao, Ming Li, Wenrui Zhao, Yixuan Wang, Yang Yang
February 21, 2023 (v1)
Subject: Environment
Keywords: available phosphorus, critical thresholds, hormetic effect, low-molecular-weight organic acids, soil
The hormetic effect is a toxicological phenomenon in the soil ecosystem. The influence of low-molecular-weight organic acids (LMWOAs) on the release and activation of soil phosphorus (P) has become the focus of toxicological research. To what extent LMWOAs can regulate the hormetic effect of P release and then influence soil P nutrients is worth attention. This study aimed to investigate the effects of different types and concentrations of exogenous LMWOAs on P extraction, establish the relationship between the concentration of LMWOAs and P extraction efficiency, and calculate the hormetic parameters to understand the mechanism of types and concentrations of LMWOAs in P extraction efficiency. Four organic acids, i.e., citric, oxalic, tartaric, and malic acids, induced hormetic effects on P extraction that were concentration dependent. The relationship between LMWOAs and P extraction efficiency was explained by a quadratic polynomial equation. The critical threshold of citric acid conce... [more]
A Method to Design Assembling Lines for Super Premium Efficiency Motors
Aurica Luminita Parv, Raluca Daicu, Mircea Viorel Dragoi, Marian Rusu, Gheorghe Oancea
February 21, 2023 (v1)
Keywords: assembling line, electrical motors, modular assembly concept, super premium efficiency
Producing highly efficient electric motors remains a challenge nowadays. Given that the legislation in the field requires the transition to the production of engines with increased efficiency, for manufacturing companies, switching from one generation of engines to another can be a difficult task. This paper analyzes ways to adapt the assembly of engines of the IE4 generation starting from the assembly lines of the engines of the previous generation, IE3. The analysis of the assembly process covers both the operator training part and the actual assembly part. Ten possible variants for the assembly line and specific decisional variables have been defined. The decision to choose the optimal assembly configuration was made using as management tools the matrix of consequences and utilities. The validation of the theoretical model of the assembly line was carried out through a case study built for two classes of electric motors, namely G90 and G180. For a total production of IE4 electric mo... [more]
Research on the Thermal Stability in High-Temperature Air of Cr-Fe Composite Oxide Solar Coatings by Chemical-Colored of Stainless Steel
Hongwen Yu, Yi He, Ziye Song, Xinyu Zhang, Yibing Xue, Lei Feng
February 21, 2023 (v1)
Subject: Materials
Keywords: chemical-colored of stainless steel, Cr-Fe composite oxide, SSACs, thermal stability
The stainless steel chemical coloration demonstrates excellent repeatability of process when adopted to fabricate solar selective absorber coatings (SSACs) on TTS445J1 stainless steel base material. The optical performance, morphology, and composition of coatings are characterized by UV-3600, IR-Affinity-1, SEM, EDS, etc. The experimental results suggest that the Cr-Fe composite oxides with coatings in a spinel structure obtained by chemical coloration on a stainless steel surface exhibit outstanding spectral selectivity, with α/ε = 0.9334/0.1326. The coatings were generated by the direct reaction between the stainless steel substrate composition and the coloring solution, which changes the traditional way of combining the coating with the substrate by physical methods. Comparing the SEM images of the coatings before and after aging at 500 °C in air, we noticed no significant changes at the interface between the coatings and the substrate, indicating excellent coating adhesion. At the... [more]
Control of Precalciner Temperature in the Cement Industry: A Novel Method of Hammerstein Model Predictive Control with ISSA
Chao Sun, Pengfei Liu, Haoran Guo, Yinlu Di, Qingquan Xu, Xiaochen Hao
February 21, 2023 (v1)
Keywords: ARX, CNN-GRU-attention, GPC, Hammerstein model, ISSA, Model Predictive Control
As the most critical equipment in the pre-calcination process of dry cement production, the temperature of the precalciner is an essential factor affecting the quality of cement. However, the cement calcination system is time-delayed, nonlinear, and multi-disturbance, which makes it difficult to predict and control the precalciner temperature. In this study, a deep learning-based Hammerstein model is proposed, and a model predictive control system is built to predict and control the precalciner temperature. In the prediction model, the CNN-GRU network architecture is used to extract the operating states of the precalciner, and an attention mechanism is employed to find and emphasize the important historical information in the extracted states. Then, an ARX model is built to predict the temperature of the precalciner using the extracted operating state information. The complex nonlinear model solution in the control system is formed into a linear control problem and an inverse solution... [more]
Hybrid Techniques of Analyzing MRI Images for Early Diagnosis of Brain Tumours Based on Hybrid Features
Badiea Abdulkarem Mohammed, Ebrahim Mohammed Senan, Talal Sarheed Alshammari, Abdulrahman Alreshidi, Abdulaziz M. Alayba, Meshari Alazmi, Afrah N. Alsagri
February 21, 2023 (v1)
Keywords: ANN, brain tumours, CNN, FFNN, handcrafted features, MRI, SVM
Brain tumours are considered one of the deadliest tumours in humans and have a low survival rate due to their heterogeneous nature. Several types of benign and malignant brain tumours need to be diagnosed early to administer appropriate treatment. Magnetic resonance (MR) images provide details of the brain’s internal structure, which allow radiologists and doctors to diagnose brain tumours. However, MR images contain complex details that require highly qualified experts and a long time to analyse. Artificial intelligence techniques solve these challenges. This paper presents four proposed systems, each with more than one technology. These techniques vary between machine, deep and hybrid learning. The first system comprises artificial neural network (ANN) and feedforward neural network (FFNN) algorithms based on the hybrid features between local binary pattern (LBP), grey-level co-occurrence matrix (GLCM) and discrete wavelet transform (DWT) algorithms. The second system comprises pre-t... [more]
Modeling and Simulation of an Industrial-Scale 525 MWth Petcoke Chemical Looping Combustion Power Plant
Odile Vekemans, Mahdi Yazdanpanah, Florent Guillou, Stéphane Bertholin, Benoit Haut
February 21, 2023 (v1)
Keywords: CCS, CLC, deNOx, deSOx, power plant, solid fuel
This paper presents the modeling and simulation of an industrial-scale chemical looping combustion (CLC) power plant, including all process units (reactors, flue gas treatment units, heat integration, steam cycle, and CO2 compression train). A model of a 525 MWth CLC power plant was built using a rigorous representation of the solid fuel and oxygen carrier. Petcoke was considered the main fuel of interest in this study, and it is compared with other solid fuels. The flue gas compositions obtained with the model show that cleanup units are mandatory to comply with CO2 quality requirements. High levels of flue gas treatment, including 97.1% deNOx and 99.4% deSOx, are needed to achieve typical specifications for captured CO2. This is mainly due to the high level of contaminants in the fuel, but also to the absence of nitrogen in the CLC flue gas, thus resulting in higher concentrations for all substances. The high level of flue gas treatment is thus one of the important challenges for sol... [more]
Hydrothermally-Derived Silver-Decorated Nanocrystalline Anatase Photocatalyst for Reactive Violet 2 Photodegradation
Stanislav Kurajica, Ivana Grčić, Iva Minga, Vilko Mandić, Katarina Mužina
February 21, 2023 (v1)
Subject: Materials
Keywords: anatase, hydrothermal synthesis, photocatalytic degradation, silver nanoparticles
A photocatalyst comprised of Ag nanoparticles dispersed on an anatase matrix has been prepared using a simple hydrothermal method without additional thermal treatment. The prepared material was characterized using scanning electron microscopy (SEM), X-ray diffraction (XRD), high-resolution transmission electron microscopy (HRTEM), UV-Vis spectroscopy, and N2 adsorption−desorption isotherms. The prepared catalyst activity was evaluated by photocatalytic degradation of C.I. Reactive Violet 2 (RV2) aqueous solution under UVA and visible light illumination. SEM revealed the non-uniform dispersion of silver particles throughout the matrix composed of fine particles. According to XRD analysis, the matrix was composed of pure anatase with a crystallite size of 8 nm calculated through the Scherrer equation. HRTEM micrograph analysis showed that anatase nanoparticles possess a spherical morphology and a narrow size distribution with an average particle size of 8 nm with more active anatase {100... [more]
Effect of Nb Content on High-Temperature Strength and Precipitates of Nb-Containing Steel
Jingyi Zhou, Liguang Zhu, Bo Wang, Ligen Sun, Pengcheng Xiao
February 21, 2023 (v1)
Keywords: carbides, carbonitrides, precipitation behavior, precipitation thermodynamic, second-phase particle
Reasonable control of the content of niobium (Nb) in a steel slab is of great significance to improve the strength of the slab and the regularity of precipitation of precipitates. In this study, the high-temperature strength and precipitates of the same steel with four different Nb contents (A: 0.006%, B: 0.031%, C: 0.050%, D: 0.065%) were tested and analyzed. The results show that when the Nb content is 0.031%, the tensile strength and yield strength of the steel reach the ideal state; the two-phase particles that precipitated in the Q355GJ steel after heat treatment are mainly square- and star-shaped (Ti, Nb) (C, N) composite precipitates, and their amount increases with the increase in Nb content. Most of the two-phase particles (84%) precipitated in the steel with the Nb content of 0.031% are smaller than 80 nm, and the continuous increase in the Nb content cannot increase the precipitation amount of the two-phase particles in the steel, but can increase the size of the two-phase p... [more]
Life Cycle Assessment and Its Application in Wastewater Treatment: A Brief Overview
Siti Safirah Rashid, Siti Norliyana Harun, Marlia M. Hanafiah, Khalisah K. Razman, Yong-Qiang Liu, Duratul Ain Tholibon
February 21, 2023 (v1)
Subject: Environment
Keywords: environmental impact, life cycle assessment, Sustainability, wastewater treatment plant
This paper provides a brief review on wastewater treatment system and the application of life cycle assessment (LCA) for assessing its environmental performance. An extensive review regarding the geographical relevance of LCA for WWTPs, and the evaluation of sustainable wastewater treatment by LCA in both developed and developing countries are also discussed. The objective of the review is to identify knowledge gap, for the improvement of the LCA application and methodology to WWTPs. A total of 35 published articles related to wastewater treatment (WWT) and LCA from international scientific journals were studied thoroughly and summarised from 2006 to 2022. This review found that there is lack of studies concerning LCA of WWTPs that consider specific local criteria especially in the developing countries. Thus, it is important to: (1) assess the influence of seasonality (i.e., dry and wet seasons) on the environmental impact of WWT, (2) investigate environmental impacts from WWTPs in dev... [more]
Special Issue on “Modelling, Monitoring, Control and Optimization for Complex Industrial Processes”
Zhiwei Gao
February 21, 2023 (v1)
Industrial automation systems, such as chemical processes, manufacturing processes, power networks, transportation systems, sustainable energy systems, wireless sensor networks, robotic systems, and biomedical systems, are becoming more complex [...]
Thermodynamic and Economic Evaluation of a Novel Green Methanol Poly-Generation System
Qiliang Ye, Yipeng Bao, Hui Pan, Yulan Liu, Peiqing Yuan
February 21, 2023 (v1)
Keywords: Carbon Dioxide Capture, green methanol, process simulation, thermo-economic analysis
Methanol is considered a sustainable alternative energy source due to its ease of storage and high-octane rating. However, the conventional methanol production process is accompanied by resource consumption and significant greenhouse gas emissions. The electrochemical reaction of electrochemically reacted hydrogen (H2) with captured carbon dioxide (CO2) offers an alternative route to methanol production. This paper presents a new green poly-generation system consisting of a parabolic trough solar collector (PTC) unit, an organic Rankine cycle (ORC) unit, a CO2 capture unit, an alkaline electrolysis unit, a green methanol synthesis and distillation unit, and a double-effect lithium bromide absorption refrigeration (ARC) unit. The system mainly produced 147.4 kmol/h of methanol at 99.9% purity, 283,500 kmol/h of domestic hot water, and a cooling load of 1341 kW. A total 361.34 MW of thermal energy was supplied to the ORC by the PTC. The alkaline electrolysis unit generated 464.2 kmol/h o... [more]
Characterization of Flavoured Olive Oils of ‘Madural’ Variety
María Helena Chéu-Guedes, M. Dolores La Rubia, Sebastián Sánchez, Natividad Ramos, Rafael Pacheco
February 21, 2023 (v1)
Subject: Materials
Keywords: bay leaf, flavoured oils, fleur de sel, garlic, lemon, olive oils, oxidation stability, rosemary
Flavoured oils arouse great interest among consumers in many countries due to their variety of flavours and versatility, especially in the culinary field. The aromatization of oils seeks to improve their sensory and nutritional properties, and extend their useful life due to the added substances can be beneficial as antioxidant and antimicrobial agent. In this research, olive oils of the ‘Madural’ variety from Trasos Montes region of Portugal have been obtained and flavoured with different aromatics herbs and condiments (flower of salt and bay leaf, garlic, rosemary and dehydrated lemon peel). The objective is to study the influence of the aromatic herbs and condiments on the physicochemical parameters of the oils: quality, purity, oxidative stability and microbiological analysis. It can be noted that the flavourings do not significantly alter the quality of the monovarietal oil, although, for some parameters, the excessive contact times can affect the category of the oil. On the other... [more]
Aflatoxins: Source, Detection, Clinical Features and Prevention
Solomon Abrehame, Valsa Remony Manoj, Merry Hailu, Yu-Yi Chen, Yu-Chun Lin, Yen-Po Chen
February 21, 2023 (v1)
Subject: Biosystems
Keywords: aflatoxins, carcinogenesis, detection, intoxication
The most potent mycotoxin, aflatoxins are the secondary metabolite produced by fungi, especially Aspergillus, and have been found to be ubiquitous, contaminating cereals, crops, and even milk and causing major health and economic issues in some countries due to poor storage, substandard management, and lack of awareness. Different aspects of the toxin are reviewed here, including its structural biochemistry, occurrence, factors conducive to its contamination and intoxication and related clinical features, as well as suggested preventive and control strategies and detection methods.
A Study on the Application of Recycled Concrete Powder in an Alkali-Activated Cementitious System
Xiaomei Wan, Hui Li, Xueping Che, Peizhen Xu, Changjiang Li, Qi Yu
February 21, 2023 (v1)
Subject: Materials
Keywords: alkali-activated slag, hydration heat analysis, mechanical properties, rheological properties
In this paper, recycled concrete powder (RCP) was used as a supplementary cementitious material (SCM) in an alkali-activation system. The contents of RCP in the cementitious materials were 0%, 10%, 20%, 30% and 40%, respectively. The fluidity, rheological properties and mechanical properties were tested, while the effects of RCP on the hydration properties of the alkali-activated system were studied by XRD, SEM-EDS, thermogravimetric analysis and the heat of hydration. The results show that the addition of RCP improves the fluidity of alkali-activated slag cementitious materials and changes the rheological index of paste. The change is greatest when the RCP content is 30%, which is 8.5% higher than that without RCP. With the increase in RCP content, the compressive strength of alkali-activated slag cementitious materials first increases and then decreases. The optimum compressive strength was attained with an RCP of 10%. The addition of RCP has little effect on the types of alkali-acti... [more]
Insight into the Processing, Gelation and Functional Components of Tofu: A Review
Chun-Chi Chen, Jung-Feng Hsieh, Meng-I Kuo
February 21, 2023 (v1)
Subject: Materials
Keywords: functional component, gelation, isoflavone, processing, rheological properties, texture, tofu
Soybeans are a good source of protein and functional nutrition for humans and are used in the production of many foods, such as soymilk and tofu, which are popular in Asia. Soymilk is a beverage with a milky appearance and is produced by grinding soybeans in water; this raw soymilk is then filtered and heated. Soymilk can be used to produce tofu, a gelatinous food, in a process that generally involves coagulating, forming, and pressing soymilk. Tofu is also a source of functional ingredients, such as isoflavones, that have received much attention for their antioxidant properties. These isoflavones bind to soy protein to form soy protein−isoflavone complexes in tofu. In this review, we examined the processing, gelation and functional components of tofu. First, we introduced novel processing technologies (such as thermal and nonthermal processing) and hydrocolloids that affect the rheological property and texture of tofu. Then, because the coagulation and gelation of soymilk are importan... [more]
The Application of Recycled Epoxy Plastic Sheets Waste to Replace Concrete in Urban Construction and Building
Bowen Qi, Shouwu Gao, Peilong Xu
February 21, 2023 (v1)
Subject: Materials
Keywords: epoxy resin, new concrete, reusable, road construction
Epoxy plastic, a form of epoxy resin, is widely employed in a variety of sectors due to its superior mechanical qualities and adaptability. The application of waste epoxy plastic in urban highway construction has been a major topic of study. To conduct this study, epoxy polymers are mixed with concrete to enhance the thermal and compressive resistance and tensile strength, which acts as a substitute for conventional cements. The experimental results indicate that ER concrete has good cohesive qualities since it does not collapse or peel, and the nature of the epoxy plastic guarantees that ER concrete has great mechanical capabilities due to the strong bond between the epoxy resin and the fibres. In terms of frost resistance, granular concrete with a 10% ER additive has a mass loss rate between 0.3% and 0.12% and a strength loss rate between 3.55 and 9.4%, outperforming conventional concrete. When often loaded by traffic, ER concrete exhibits no substantial permanent deformation, and it... [more]
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