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Journal articles on the topic 'Kinetic modelling'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Provis, J. L., and J. S. J. van Deventer. "Geopolymerisation kinetics. 2. Reaction kinetic modelling." Chemical Engineering Science 62, no. 9 (2007): 2318–29. http://dx.doi.org/10.1016/j.ces.2007.01.028.

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2

L Salami, DO Olumuyiwa, EA Alfred, and OS Olakanmi. "Kinetic modelling of dumpsite leachate treatment using Musa sapientum peels as bio-sorbent." Global Journal of Engineering and Technology Advances 9, no. 2 (2021): 024–31. http://dx.doi.org/10.30574/gjeta.2021.9.2.0117.

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Kinetics models are very vital to dumpsite operators and planners as they provide relevant information for effective treatment of leachates. The aim of this work is to model the kinetic process of treatment of Lagos dumpsite leachate using Musa sapientum peels as bio-sorbent with a view of establishing the kinetic parameters of the treatment process. Musa sapientum peels which were collected from Ayetoro market in Epe Local Government area of Lagos State were used to prepare the bio-sorbent. Kinetic process was carried out using 1 g of the prepared bio-sorbent in 100 ml Lagos dumpsite leachate

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3

L, Salami, Olumuyiwa DO, Alfred EA, and Olakanmi OS. "Kinetic modelling of dumpsite leachate treatment using Musa sapientum peels as bio-sorbent." Global Journal of Engineering and Technology Advances 9, no. 2 (2021): 024–31. https://doi.org/10.5281/zenodo.5766273.

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Kinetics models are very vital to dumpsite operators and planners as they provide relevant information for effective treatment of leachates. The aim of this work is to model the kinetic process of treatment of Lagos dumpsite leachate using <em>Musa sapientum</em> peels as bio-sorbent with a view of establishing the kinetic parameters of the treatment process. <em>Musa sapientum </em>peels which were collected from Ayetoro market in Epe Local Government area of Lagos State were used to prepare the bio-sorbent. Kinetic process was carried out using 1 g of the prepared bio-sor

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4

Chalyy, K. O., I. P. Kryvenko та M. D. Andriychuk. "KINETIC MODELLING OF BIOCHEMICAL REACTIONS USING MATHСAD ANALYTICAL TOOLKIT". Medical Science of Ukraine (MSU) 20, № 2 (2024): 68–78. http://dx.doi.org/10.32345/2664-4738.2.2024.09.

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Background. The study of the kinetics of biochemical reactions provides a better understanding of how biological processes occur in living organisms. Understanding the peculiarities of such reactions is important for the development of new technologies, in particular for the production of biologically active substances and for the synthesis of drugs. A powerful tool for solving problems in biochemical reaction kinetics is mathematical modelling, which can be carried out using computer mathematical systems, in particular the MATHCAD analytical toolkit. Aim: to substantiate the feasibility and e

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5

Gunn, Roger, V. Schmid, B. Whitcher, and V. Cunningham. "Bayesian kinetic modelling." NeuroImage 31 (January 2006): T71. http://dx.doi.org/10.1016/j.neuroimage.2006.04.061.

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6

Gotch, F. A. "Urea kinetic modelling." Nephrology Dialysis Transplantation 10, no. 12 (1995): 2378–79. http://dx.doi.org/10.1093/ndt/10.12.2378.

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7

Rossetti, Ilenia, Francesco Conte, and Gianguido Ramis. "Kinetic Modelling of Biodegradability Data of Commercial Polymers Obtained under Aerobic Composting Conditions." Eng 2, no. 1 (2021): 54–68. http://dx.doi.org/10.3390/eng2010005.

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Methods to treat kinetic data for the biodegradation of different plastic materials are comparatively discussed. Different samples of commercial formulates were tested for aerobic biodegradation in compost, following the standard ISO14855. Starting from the raw data, the conversion vs. time entries were elaborated using relatively simple kinetic models, such as integrated kinetic equations of zero, first and second order, through the Wilkinson model, or using a Michaelis Menten approach, which was previously reported in the literature. The results were validated against the experimental data a

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8

Zalazar, C. S., M. D. Labas, M. E. Lovato, R. J. Brandi, and A. E. Cassano. "Modelling the kinetics of UV/H2O2 oxidation of dichloroacetic acid." Water Science and Technology 55, no. 12 (2007): 31–35. http://dx.doi.org/10.2166/wst.2007.377.

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The intrinsic reaction kinetics of the decomposition of dichloroacetic acid (DCA) using UV/H2O2 was studied. A complete mathematical model, including the effect of the absorbed radiation intensities and H2O2 concentration was developed. The results of the kinetic measurements were analysed using a complete mathematical model of the experimental device that was used for the laboratory operation (a differential reactor inside a recycle). In this way it was expected to obtain intrinsic kinetic parameters. Experimental data agree well with theoretical predictions esmploying just two kinetic parame

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9

Frontistis, Z., M. Papadaki, and D. Mantzavinos. "Modelling of sonochemical processes in water treatment." Water Science and Technology 55, no. 12 (2007): 47–52. http://dx.doi.org/10.2166/wst.2007.376.

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The mechanisms and kinetics of the sonochemical degradation of organic molecules in water are relatively complex since several parameters such as physicochemical properties, substrate concentration, water matrix, reactor geometry, ultrasound properties (frequency, power, emission system) all typically affect the process. In this work, simple kinetic models were used to predict the degradation of 2-chlorophenol and sodium dodecylbenzene sulphonate in aqueous solutions and verified against experimental data taken from previous studies. A pseudo-first order kinetic expression can adequately descr

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10

Wentzel, M. C., G. A. Ekama, and G. v. R. Marais. "Processes and Modelling of Nitrification Denitrification Biological Excess Phosphorus Removal Systems – A Review." Water Science and Technology 25, no. 6 (1992): 59–82. http://dx.doi.org/10.2166/wst.1992.0114.

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This paper reviews developments in modelling the kinetics of activated sludge systems: Completely aerobic nitrification, anoxic/aerobic nitrification denitrification (ND), and anaerobic/anoxic/aerobic nitrification denitrification biological excess phosphorus removal (NDBEPR) systems. The paper highlights the progress in developing a general NDBEPR activated sludge kinetic model – development of polyP organism enhanced cultures, their kinetics, simplification of the kinetics for enhanced cultures under constant flow and load conditions, extension of the simplified model to mixed culture NDBEPR

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11

Symak, Dmytro, Vira Sabadash, Jaroslaw Gumnitsky, and Zoriana Hnativ. "Kinetic Regularities and Mathematical Modelling of Potassium Chloride Dissolution." Chemistry & Chemical Technology 15, no. 1 (2021): 148–52. http://dx.doi.org/10.23939/chcht15.01.148.

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The dissolution process of potassium chloride particles in the apparatus with two-blade mechanical stirrer was investigated and the mass transfer coefficient was determined. The experimental results were generalized by criterion dependence. The independence of the mass transfer coefficient from the solid particles diameter was confirmed. A countercurrent process of potassium salt dissolution in two apparatuses with a mechanical stirring was considered. A mathematical model for countercurrent dissolution was developed and the efficiency of this process was determined.

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12

Trninić, Marta. "Mathematical modelling of primary and secondary pyrolysis: State of the art." FME Transactions 48, no. 4 (2020): 733–44. http://dx.doi.org/10.5937/fme2004733t.

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Pyrolysis process converts biomass into liquid, gaseous and solid fuels. Chemical kinetics play a key role in explaining the characteristics of pyrolysis reactions and developing mathematical models. Many studies have been undertaken to understand the kinetics of biomass pyrolysis; however, due to the heterogeneity of biomass and the complexity of the chemical and physical changes that occur during pyrolysis, it is difficult to develop a simple kinetic model that is applicable in every case. In this review, different methods to describe biomass primary and secondary pyrolysis with different ty

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13

König, Matthias. "cy3sabiork: A Cytoscape app for visualizing kinetic data from SABIO-RK." F1000Research 5 (July 18, 2016): 1736. http://dx.doi.org/10.12688/f1000research.9211.1.

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Kinetic data of biochemical reactions are essential for the creation of kinetic models of biochemical networks. One of the main resources of such information is SABIO-RK, a curated database for kinetic data of biochemical reactions and their related information. Despite the importance for computational modelling there has been no simple solution to visualize the kinetic data from SABIO-RK. In this work, I present cy3sabiork, an app for querying and visualization of kinetic data from SABIO-RK in Cytoscape. The kinetic information is accessible via a combination of graph structure and annotation

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14

Lo Schiavo, M. "Kinetic modelling andelectoral competition." Mathematical and Computer Modelling 42, no. 13 (2005): 1463–86. http://dx.doi.org/10.1016/j.mcm.2004.11.006.

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15

Dhir, S., R. Uppaluri, and M. K. Purkait. "Oxidative desulfurization: Kinetic modelling." Journal of Hazardous Materials 161, no. 2-3 (2009): 1360–68. http://dx.doi.org/10.1016/j.jhazmat.2008.04.099.

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16

Bakar, Siti Asmah, Hussein Saed Geedi, Mohd Hairul Khamidun, Radin Maya Saphira Radin Mohamed, Mohammad Faizal Che Daud, and Umi Fazara Md Ali. "Evaluation lead removal kinetics modelling of adsorption by using composite of Chitosan and Ceramic waste." IOP Conference Series: Earth and Environmental Science 1205, no. 1 (2023): 012010. http://dx.doi.org/10.1088/1755-1315/1205/1/012010.

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Abstract This study focuses on understanding the Pb adsorption kinetics from greywater using a composite of chitosan and ceramic waste (CCCW), which is suitable for preserving water quality. For ease and general application, a kinetic model with a simple expression and a manageable small set of parameters that nevertheless provides a fair adsorption description in the equilibrium state is still critical. Although some current kinetic models, such as the pseudo-second-order type, meet these conditions, their performance is still questionable, especially when applied to a variety of experimental

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17

Giménez, Jaime, David Curcó, and Pilar Marco. "Reactor modelling in the photocatalytic oxidation of wastewater." Water Science and Technology 35, no. 4 (1997): 207–13. http://dx.doi.org/10.2166/wst.1997.0120.

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Two different experimental devices have been tested for the photocatalytic oxidation of phenol, by using TiO2 suspensions. At the laboratory level, experiments were carried out in microreactors with Xe lamps. At pilot plant scale, the experiments were done at the Plataforma Solar de Almería (PSA), Spain, by using a high concentrating radiation systems (Heliomans) and solar radiation. Both systems were characterized from the point of view of the radiation field. Kinetic experiments and radiation measurements showed that kinetics are first order with respect to the phenol concentration, and a li

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18

Buekers, Joren, Jan Theunis, Alberto Peña Fernández, et al. "Box-Jenkins Transfer Function Modelling for Reliable Determination of VO2 Kinetics in Patients with COPD." Applied Sciences 9, no. 9 (2019): 1822. http://dx.doi.org/10.3390/app9091822.

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Oxygen uptake (VO2) kinetics provide information about the ability to respond to the increased physical load during a constant work rate test (CWRT). Box-Jenkins transfer function (BJ-TF) models can extract kinetic features from the phase II VO2 response during a CWRT, without being affected by unwanted noise contributions (e.g., phase I contribution or measurement noise). CWRT data of 18 COPD patients were used to compare model fits and kinetic feature values between BJ-TF models and three typically applied exponential modelling methods. Autocorrelation tests and normalised root-mean-squared

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19

Santabarbara, Stefano, and Giuseppe Zucchelli. "Comparative kinetic and energetic modelling of phyllosemiquinone oxidation in Photosystem I." Physical Chemistry Chemical Physics 18, no. 14 (2016): 9687–701. http://dx.doi.org/10.1039/c5cp06590a.

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The comparison different energetic scenarios proposed for Phyllosemiquinone oxidation in Photosystem I within a unified kinetic and theoretical framework indicates that only a weakly activate or a largely exergonic reaction describe the experimental kinetics.

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20

TĂNASE, DOBRE, OANA CRISTINA PÂRVULESCU, and CRISTIAN RĂDUCANU. "Stochastic modelling of polysaccharide hydrolysis." Journal of Engineering Sciences and Innovation 3, no. 1 (2018): 25–38. http://dx.doi.org/10.56958/jesi.2018.3.1.25.

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A stochastic model was selected and developed to describe polysaccharide hydrolysis kinetics. This model can accurately predict the hydrolysis kinetics and covers the limitations of some classical kinetic models (e.g., complexity of mathematical models, large number of parameter estimations, change in parameters with a change in hydrolysis conditions, etc.). One of the main advantages of the stochastic mathematical model approach is represented by the fact that the polysaccharide structural characteristics and operating parameters can be separately incorporated into the model. The stochastic p

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21

Khan, Ahmed Faraz, Philip John Roberts, and Alexey A. Burluka. "Modelling of Self-Ignition in Spark-Ignition Engine Using Reduced Chemical Kinetics for Gasoline Surrogates." Fluids 4, no. 3 (2019): 157. http://dx.doi.org/10.3390/fluids4030157.

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A numerical and experimental investigation in to the role of gasoline surrogates and their reduced chemical kinetic mechanisms in spark ignition (SI) engine knocking has been carried out. In order to predict autoignition of gasoline in a spark ignition engine three reduced chemical kinetic mechanisms have been coupled with quasi-dimensional thermodynamic modelling approach. The modelling was supported by measurements of the knocking tendencies of three fuels of very different compositions yet an equivalent Research Octane Number (RON) of 90 (ULG90, PRF90 and 71.5% by volume toluene blended wit

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22

MACKAY, F., R. MARCHAND, K. KABIN, and J. Y. LU. "Test kinetic modelling of collisionless perpendicular shocks." Journal of Plasma Physics 74, no. 3 (2008): 301–18. http://dx.doi.org/10.1017/s0022377808007095.

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AbstractTest kinetic simulation results are presented for perpendicular collisionless shocks in magnetized plasmas that are representative of the Earth's bow shock. In this approach, particle kinetics are described by tracing particle trajectories in prescribed electromagnetic fields obtained in the MHD approximation, and applying Liouville's theorem. This provides a first-order description of particle dynamics in complex systems, given approximate fields obtained with a low-level description of the plasma. The method also provides a useful consistency check in assessing the validity of approx

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23

Sciazko, M., B. Mertas, and L. Stepien. "Kinetic modelling of coking coal fluidity development." Journal of Thermal Analysis and Calorimetry 142, no. 2 (2020): 977–90. http://dx.doi.org/10.1007/s10973-020-09487-0.

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Abstract Coal plasticity is a phenomenon directly affecting the creation of coke structure. It is very much a time- and temperature-dependent transformation of the coal matrix, which allows changing the physical phase from solid to liquid-like and again into solid of different properties. The coking process, particularly in a plasticization temperature range, can be considered as a non-isothermal reaction at a constant heating rate. In this work, a macro-kinetics approach is applied that results in effective kinetic parameters, i.e. pre-exponential factor and activation energy. It is postulate

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24

Garrote, Gil, Herminia Domı́nguez, and Juan Carlos Parajó. "Kinetic modelling of corncob autohydrolysis." Process Biochemistry 36, no. 6 (2001): 571–78. http://dx.doi.org/10.1016/s0032-9592(00)00253-3.

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25

Ungerer, Philippe, Francoise Behar, Marlène Villalba, Odd Ragmar Heum, and Annie Audibert. "Kinetic modelling of oil cracking." Organic Geochemistry 13, no. 4-6 (1988): 857–68. http://dx.doi.org/10.1016/0146-6380(88)90238-0.

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26

Matyash, K., R. Schneider, and H. Kersten. "Kinetic modelling of dusty plasmas." Journal of Physics: Conference Series 11 (January 1, 2005): 248–53. http://dx.doi.org/10.1088/1742-6596/11/1/024.

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27

Olsson, Louise, and Bengt Andersson. "Kinetic Modelling in Automotive Catalysis." Topics in Catalysis 28, no. 1-4 (2004): 89–98. http://dx.doi.org/10.1023/b:toca.0000024337.50617.8e.

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28

Arlotti, L., N. Bellomo, and M. Lachowicz. "Kinetic equations modelling population dynamics." Transport Theory and Statistical Physics 29, no. 1-2 (2000): 125–39. http://dx.doi.org/10.1080/00411450008205864.

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29

Korla, Kalyani, and Chanchal K. Mitra. "Kinetic modelling of mitochondrial translation." Journal of Biomolecular Structure and Dynamics 32, no. 10 (2013): 1634–50. http://dx.doi.org/10.1080/07391102.2013.833135.

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30

Matyash, K., and R. Schneider. "Kinetic modelling of dusty plasmas." Contributions to Plasma Physics 44, no. 13 (2004): 157–61. http://dx.doi.org/10.1002/ctpp.200410021.

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31

Komasi, Milad, Shohreh Fatemi, and Seyed Hesam Mousavi. "Kinetic Modelling of Propane Dehydrogenation over a Pt–Sn/hierarchical SAPO-34 Zeolite Catalyst, Including Catalyst Deactivation." Progress in Reaction Kinetics and Mechanism 42, no. 4 (2017): 344–60. http://dx.doi.org/10.3184/146867817x14954764850397.

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Pt–Sn/hierarchical SAPO-34 was synthesised and kinetically modelled as an efficient and selective catalyst for propylene production through propane dehydrogenation. The kinetics of the reaction network were studied in an integral fixed-bed reactor at three temperatures of 550, 600 and 650 °C and weight hourly space velocities of 4 and 8 h−1 with a feed containing hydrogen and propane with relative molar ratios of 0.2, 0.5 and 0.8, at normal pressure. The experiments were performed in accordance with the full factorial experimental design. The kinetic models were constructed on the basis of dif

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32

Junker, Björn H., Dirk Koschützki, and Falk Schreiber. "Kinetic Modelling with the Systems Biology Modelling Environment SyBME." Journal of Integrative Bioinformatics 3, no. 1 (2006): 11–20. http://dx.doi.org/10.1515/jib-2006-18.

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Summary Kinetic modelling and simulation is an important approach in systems biology. While the focus of current modelling tools is on simulation, model development is a highly iterative process which is currently only partly supported. To support the development of biochemical models, their simulation, and graphical understanding, we designed and implemented SyBME, the Systems Biology Modelling Environment. Here we present the architecture and the main components of SyBME and show its use by modelling sucrose breakdown in developing potato tubers.

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33

Al-Ayed, Omar. "Approaches to Biomass Kinetic Modelling: Thermochemical Biomass Conversion Processes." 1 4, Vol4 (2021): 1–13. http://dx.doi.org/10.48103/jjeci412021.

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Modeling of biomass pyrolysis kinetics is an essential step towards reactors design for energy production. Determination of the activation energy, frequency factor, and order of the reaction is necessary for the design procedure. Coats and Redfern's work using the TGA data to estimate these parameters was the cornerstone for modeling. There are two significant problems with biomass modeling, the first is the determination of the kinetic triplet (Activation energy, Frequency factor, and the order of reaction), and the second is the quantitative analysis of products distribution. Methods used in

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34

Bellobono, Ignazio Renato, Roberto Scotti, Massimiliano D'Arienzo, et al. "Nonlinear Modelling of Kinetic Data Obtained from Photocatalytic Mineralisation of 2,4-Dichlorophenol on a Titanium Dioxide Membrane." International Journal of Photoenergy 2009 (2009): 1–10. http://dx.doi.org/10.1155/2009/631768.

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Photomineralisation of 2,4-dichlorophenol (DCP) in aqueous solutions (10.0–100.0 mg/L of C) was systematically studied at318±3 K, in an annular laboratory-scale reactor, by photocatalytic membranes immobilizing titanium dioxide, as a function of substrate concentration, and absorbed power per unit length of membrane. Kinetics of both substrate disappearance, to yield intermediates, and total organic carbon (TOC) disappearance, to yield carbon dioxide, were followed (first series of experiments). At a fixed value of irradiance (1.50 W⋅cm−1), other series of mineralization experiments were repea

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35

Krebs, Olga, Martin Golebiewski, Renate Kania, et al. "SABIO-RK: A data warehouse for biochemical reactions and their kinetics." Journal of Integrative Bioinformatics 4, no. 1 (2007): 22–30. http://dx.doi.org/10.1515/jib-2007-49.

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Abstract Systems biology is an emerging field that aims at obtaining a system-level understanding of biological processes. The modelling and simulation of networks of biochemical reactions have great and promising application potential but require reliable kinetic data. In order to support the systems biology community with such data we have developed SABIO-RK (System for the Analysis of Biochemical Pathways - Reaction Kinetics), a curated database with information about biochemical reactions and their kinetic properties, which allows researchers to obtain and compare kinetic data and to integ

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36

Marugán, Javier, Rafael van Grieken, Alberto E. Cassano, and Orlando M. Alfano. "Kinetic modelling of the photocatalytic inactivation of bacteria." Water Science and Technology 61, no. 6 (2010): 1547–53. http://dx.doi.org/10.2166/wst.2010.057.

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This work analyzes the kinetic modelling of the photocatalytic inactivation of E. coli in water using different types of kinetic models; from an empirical equation to an intrinsic kinetic model including explicit radiation absorption effects. Simple empirical equations lead to lower fitting errors, but require a total of 12 parameters to reproduce the results of four inactivation curves when the catalyst concentration was increased. Moreover, these parameters have no physical meaning and cannot be extrapolated to different experimental conditions. The use of a pseudo-mechanistic model based on

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37

Bonomo, L., G. Pastorelli, and E. Quinto. "Simplified and Monod kinetics in one-dimensional biofilm reactor modelling: a comparison." Water Science and Technology 43, no. 1 (2001): 295–302. http://dx.doi.org/10.2166/wst.2001.0060.

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A theoretical study supported by some experimental tests has been carried out with the aim of comparing one-dimensional (1-D) biofilm reactor models that use simplified (zero- and first-order) and Monod kinetics. Two different situations have been compared: one rate-limiting substrate with or without liquid film diffusion. The results obtained show that the use of a simplified kinetic approach compared to the Monod kinetic approach determines (1) an unjustified overestimate of the removal rate, especially for thin biofilms, and (2) an excessive overestimate of the liquid film layer thickness n

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38

garfinkle, Moishe. "The thermodynamic natural path in chemical reaction kinetics." Discrete Dynamics in Nature and Society 4, no. 2 (2000): 145–64. http://dx.doi.org/10.1155/s1026022600000145.

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The Natural Path approach to chemical reaction kinetics was developed to bridge the considerable gap between the Mass Action mechanistic approach and the non-mechanistic irreversible thermodynamic approach. The Natural Path approach can correlate empirical kinetic data with a high degree precision, as least equal to that achievable by the Mass-Action rate equations, but without recourse mechanistic considerations. The reaction velocities arising from the particular rate equation chosen by kineticists to best represent the kinetic behavior of a chemical reaction are the natural outcome of the N

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39

Kamara, A., O. Bernard, A. Genovesi, D. Dochain, A. Benhammou, and J. P. Steyer. "Hybrid modelling of anaerobic wastewater treatment processes." Water Science and Technology 43, no. 1 (2001): 43–50. http://dx.doi.org/10.2166/wst.2001.0011.

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This paper presents a hybrid approach for the modelling of an anaerobic digestion process. The hybrid model combines a feedforward network, describing the bacterial kinetics, and the a priori knowledge based on the mass balances of the process components. We have considered an architecture which incorporates the neural network as a static model of unmeasured process parameters (kinetic growth rate) and an integrator for the dynamic representation of the process using a set of dynamic differential equations. The paper contains a description of the neural network component training procedure. Th

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40

Sheidaei, Behnaz, and Mohammad A. Behnajady. "Mathematical Kinetic Modelling and Representing Design Equation for a Packed Photoreactor with Immobilised TiO2-P25 Nanoparticles on Glass Beads in the Removal of C.I. Acid Orange 7." Chemical and Process Engineering 36, no. 2 (2015): 125–33. http://dx.doi.org/10.1515/cpe-2015-0010.

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In this work, a design equation was presented for a batch-recirculated photoreactor composed of a packed bed reactor (PBR) with immobilised TiO2-P25 nanoparticle thin films on glass beads, and a continuous-flow stirred tank (CFST). The photoreactor was studied in order to remove C.I. Acid Orange 7 (AO7), a monoazo anionic dye from textile industry, by means of UV/TiO2 process. The effect of different operational parameters such as the initial concentration of contaminant, the volume of solution in CFST, the volumetric flow rate of liquid, and the power of light source in the removal efficiency

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41

Kazmi, Mohsin, Anwar R. Saleemi, Nadeem Feroze, Amir Yaqoob, and Syed Waqas Ahmad. "Removal of phenol from wastewater using activated waste tea leaves." Polish Journal of Chemical Technology 15, no. 2 (2013): 1–6. http://dx.doi.org/10.2478/pjct-2013-0016.

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This investigation enumerates the treatment of phenol contaminated synthetic wastewater by Activated Waste Tea Leaves (AWTL). Phosphoric acid was used for the modification of waste tea leaves. The effects of initial pH, biosorbent dose, contact time, and initial phenol concentration were studied on the phenol uptake from the synthetic solution. Kinetic modelling was performed using pseudo 1st and 2nd order kinetics. The Langmuir and Freundlich’s Models were employed to interpret the AWTL behaviour at various mass transfer gradients. The results show that the optimum values for pH, biosorbent d

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42

Hossain, Md Delwar, Md Kamrul Hassan, Swapan Saha, et al. "Thermal and Pyrolysis Kinetics Analysis of Glass Wool and XPS Insulation Materials Used in High-Rise Buildings." Fire 6, no. 6 (2023): 231. http://dx.doi.org/10.3390/fire6060231.

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This study investigates the kinetics data of glass wool (GW) and extruded polystyrene (XPS) insulation materials used in cladding systems using a systematic framework. The determination of appropriate kinetic properties, such as pre-exponential factors, activation energy and reaction orders, is crucial for accurately modelling the full-scale fire performance of insulation materials. The primary objective of this research is to extract thermal and kinetics data of XPS and GW insulation materials employed in high-rise buildings. To obtain these properties, thermogravimetric analysis (TGA) is con

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43

Rohwer, Johann M. "Kinetic modelling of plant metabolic pathways." Journal of Experimental Botany 63, no. 6 (2012): 2275–92. http://dx.doi.org/10.1093/jxb/ers080.

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44

Baulch, D. L., C. J. Cobos, R. A. Cox, et al. "Evaluated Kinetic Data for Combustion Modelling." Journal of Physical and Chemical Reference Data 21, no. 3 (1992): 411–734. http://dx.doi.org/10.1063/1.555908.

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Mihajlovic, Ivan, Nada Strbac, and Zivan Zivkovic. "Kinetic modelling of chalcocite particle oxidation." Scandinavian Journal of Metallurgy 33, no. 6 (2004): 316–21. http://dx.doi.org/10.1111/j.1600-0692.2004.00700.x.

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Verdu, J., J. Rychly, and L. Audouin. "Synergism between polymer antioxidants—kinetic modelling." Polymer Degradation and Stability 79, no. 3 (2003): 503–9. http://dx.doi.org/10.1016/s0141-3910(02)00366-x.

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LINDSTEDT, R. P., and L. Q. MAURICE. "Detailed Kinetic Modelling of Toluene Combustion." Combustion Science and Technology 120, no. 1-6 (1996): 119–67. http://dx.doi.org/10.1080/00102209608935571.

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Dabrowski, François, Serge Bourbigot, René Delobel, and Michel Le Bras. "Kinetic modelling of the thermal degradation." European Polymer Journal 36, no. 2 (2000): 273–84. http://dx.doi.org/10.1016/s0014-3057(99)00079-8.

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Aszódi, A., and P. Friedrich. "Molecular kinetic modelling of associative learning." Neuroscience 22, no. 1 (1987): 37–48. http://dx.doi.org/10.1016/0306-4522(87)90196-5.

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Hofmeyr, Jan-Hendrik S. "Kinetic modelling of compartmentalised reaction networks." Biosystems 197 (November 2020): 104203. http://dx.doi.org/10.1016/j.biosystems.2020.104203.

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