Articles de revues : « Kinetic data »

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Zaikov, Gennady, et Klara Gumargalieva. « Biodegradation of Polymeric Materials. Generalized Kinetic Data ». Chemistry & ; Chemical Technology 4, n^o 3 (15 septembre 2010) : 197–203. http://dx.doi.org/10.23939/chcht04.03.197.

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The information about generalized kinetic data which can describe biodegradation of polymeric materials (kinetics of biomass growth and methods of investigation of its formal mechanism of biodegradation, microorganism adhesion) has been presented in this paper.

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Chan, T. W., G. D. Shyu et A. I. Isayev. « Reduced Time Approach to Curing Kinetics, Part I : Dynamic Rate and Master Curve from Isothermal Data ». Rubber Chemistry and Technology 66, n^o 5 (1 novembre 1993) : 849–64. http://dx.doi.org/10.5254/1.3538349.

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Abstract A reduced time approach has been used to predict nonisothermal curing kinetics based on isothermal kinetic data. This approach makes it clear that the conversion in a kinetic process is a function of the reduced time alone and allows for the construction of a master curve from isothermal kinetic data, indicating that the dynamic (or nonisothermal ) rate is equal to the isothermal rate. The approach can be applied to curing, crystallization, and other physico-chemical kinetics. A method is also described for correcting the nonisothermal curing kinetic data obtained from differential scanning calorimetry ( DSC ) for a temperature lag between the sample and the DSC furnace. For two rubber compounds, it has been found that the nonisothermal curing kinetic data corrected for this temperature lag are in better agreement with the predictions based on isothermal kinetics than the uncorrected data.

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Rossetti, Ilenia, Francesco Conte et Gianguido Ramis. « Kinetic Modelling of Biodegradability Data of Commercial Polymers Obtained under Aerobic Composting Conditions ». Eng 2, n^o 1 (20 février 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 and allowed for computation of the time for half degradation of the substrate and, by extrapolation, estimation of the final biodegradation time for all the materials tested. In particular, the Michaelis Menten approach fails in describing all the reported kinetics as well the zeroth- and second-order kinetics. The biodegradation pattern of one sample was described in detail through a simple first-order kinetics. By contrast, other substrates followed a more complex pathway, with rapid partial degradation, subsequently slowing. Therefore, a more conservative kinetic interpolation was needed. The different possible patterns are discussed, with a guide to the application of the most suitable kinetic model.

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König, Matthias. « cy3sabiork : A Cytoscape app for visualizing kinetic data from SABIO-RK ». F1000Research 5 (18 juillet 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 annotations of nodes, with provided information consisting of: (I) reaction details, enzyme and organism; (II) kinetic law, formula, parameters; (III) experimental conditions; (IV) publication; (V) additional annotations. cy3sabiork creates an intuitive visualization of kinetic entries in form of a species-reaction-kinetics graph, which reflects the reaction-centered approach of SABIO-RK. Kinetic entries can be imported in SBML format from either the SABIO-RK web interface or via web service queries. The app allows for easy comparison of kinetic data, visual inspection of the elements involved in the kinetic record and simple access to the annotation information of the kinetic record. I applied cy3sabiork in the computational modelling of galactose metabolism in the human liver.

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Burgess, Donald R., et Jeffrey A. Manion. « 70 Years of Evaluated Chemical Kinetics Data in the Journal of Physical and Chemical Reference Data, the National Standard Reference Data System Series, and the NBS Kinetics Data Center ». Journal of Physical and Chemical Reference Data 51, n^o 2 (1 juin 2022) : 021501. http://dx.doi.org/10.1063/5.0091497.

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We provide an overview of 70 years of evaluated chemical kinetic data published in the Journal of Physical and Chemical Reference Data (dating to 1972), the National Standard Reference Data System series (dating to 1965), as part of the National Bureau of Standards Chemical Kinetics Data Center (dating to 1951), and the National Institute of Standards and Technology Chemical Kinetics Database (SRD 17) (dating to 1990).

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Burgess, Donald R., et Jeffrey A. Manion. « 70 Years of Evaluated Chemical Kinetics Data in the Journal of Physical and Chemical Reference Data, the National Standard Reference Data System Series, and the NBS Kinetics Data Center ». Journal of Physical and Chemical Reference Data 51, n^o 2 (1 juin 2022) : 021501. http://dx.doi.org/10.1063/5.0091497.

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We provide an overview of 70 years of evaluated chemical kinetic data published in the Journal of Physical and Chemical Reference Data (dating to 1972), the National Standard Reference Data System series (dating to 1965), as part of the National Bureau of Standards Chemical Kinetics Data Center (dating to 1951), and the National Institute of Standards and Technology Chemical Kinetics Database (SRD 17) (dating to 1990).

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Panayotou, G. « Kinetic data reliability ». Trends in Biochemical Sciences 22, n^o 5 (mai 1997) : 149. http://dx.doi.org/10.1016/s0968-0004(97)01037-2.

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Dumitraşa, Mihai. « Non-parametric kinetic analysis of thermogravimetric data for the thermal degradation of poly(tetrafluorethylene) ». Acta Chemica Iasi 22, n^o 2 (1 décembre 2014) : 97–112. http://dx.doi.org/10.2478/achi-2014-0009.

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Abstract Thermal degradation of Teflon was investigated by thermoanalytical methods (TG and DTA). In the kinetic analysis of the experimental data, the NPK method proves to be a valuable tool, allowing for some new kinetic aspects of the degradation process to be obtained. Analysis of the computed isothermal and isoconversional vectors provided some insight into the reaction kinetics. Two different initiation pathways were suggested to control the global degradation kinetics, their relative contribution being temperature-dependant

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Krebs, Olga, Martin Golebiewski, Renate Kania, Saqib Mir, Jasmin Saric, Andreas Weidemann, Ulrike Wittig et Isabel Rojas. « SABIO-RK : A data warehouse for biochemical reactions and their kinetics ». Journal of Integrative Bioinformatics 4, n^o 1 (1 mars 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 integrate them into models of biochemical networks. SABIO-RK is freely available for academic use at http://sabio.villa-bosch.de/SABIORK/.

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Van Praagh, Andrew, Bo Nelson, Paul Ballieu, Melanie Smith et Mike Rule. « Abstract 7427 : Automated, real-time acquisition and quantification of peak, plateau-phase in vivo bioluminescent data ». Cancer Research 84, n^o 6_Supplement (22 mars 2024) : 7427. http://dx.doi.org/10.1158/1538-7445.am2024-7427.

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Abstract It is widely recognized that plateau-phase bioluminescent (BL) kinetic curve data should be used when reporting on BLI results from substrate-injection BLI model systems. The basis for this understanding is that plateau-phase BL data is uniquely suited in several ways: (i) it will optimize the detection of target, luciferase-expressing cells (especially when they are low in copy number or deep within the animal model), (ii) it will optimize BLI data reproducibility (with there being no change in signal values across the plateau phase), and (iii) it will also provide BLI data values that correlate consistently with the number of viable target cells in a given BLI model. Given this critical value of plateau-phase BL data, there is, nevertheless, a simple practical issue to be addressed: The overall manual process of generating BL kinetic curves, and then identifying and quantifying plateau-phase data is not insignificant—it takes time!In this poster, we review the performance of “Kinetics,” a new feature in the Aura software platform from Spectral Instruments Imaging, LLC. Kinetics is designed to collect, present, and analyze BL kinetic curve data for up to 10 mice, in a completely automated and real-time fashion. Data outputs include a live graph that simultaneously presents individual mouse, whole body ROI (Total photon/sec) values vs. time post-luciferase injection, and analogous mean BL values per mouse group. Here in, we present an evaluation of the performance of Kinetics under various testing conditions. We initially evaluated Kinetics’ ability to acquire, present and analyze the BL kinetic curves of 5 phantoms. The photon output rates of these phantoms (Total photons/sec) were programmed to mimic the rise, plateau, and fall sequence typically seen BLI studies. In an analogous fashion, we then tested Kinetics’ ability to acquire, present, and analyze the BL kinetic curves of 5 to 10 live mice from several oncology models. Furthermore, we used Kinetics in oncology efficacy studies to monitor for expected changes in BL kinetic curve shapes (i.e., for changes in the onset times and durations of the rise, plateau and fall phases in BL kinetic curves) between different treatment groups (e.g., between positive controls groups and one or more treatment groups). In the same studies, we also used Kinetics to check for changes in BL kinetic curve shapes that might occur for a given treatment group across several time points, after pathogen challenge. Results from this set of experiments consistently and clearly illustrated the capability of Kinetics to acquire, present and analyze individual and mean BL kinetic curve data for up to 10 mice at a time, in an automated and real-time fashion. We believe that Kinetics from Spectral Instruments Imaging, LLC, has the potential to revolutionize the ease with which plateau-phase, BL kinetic curve data can be collected, presented, and used in a wide range of preclinical BLI studies. Citation Format: Andrew Van Praagh, Bo Nelson, Paul Ballieu, Melanie Smith, Mike Rule. Automated, real-time acquisition and quantification of peak, plateau-phase in vivo bioluminescent data [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 7427.

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Brdar, Mirjana, Dragana Kukic, Marina Scíban, Vesna Vasic et Jelena Prodanovic. « Comparison of the generalized and preset-order kinetic equations for description of biosorption data ». Acta Periodica Technologica, n^o 49 (2018) : 11–20. http://dx.doi.org/10.2298/apt1849011b.

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Time course of adsorption of the different pollutants from water is the basis in the testing of an adsorbent. Over the years, several kinetics models have been proposed. Nevertheless, pseudo-first-order and pseudo-second-order kinetic models are by far the most used in the testing. Since various biological materials have complex composition, it is assumed that the adsorption kinetics on such materials, named biosorbents, can not be described sufficiently well by these two models. In this paper, both generalized and preset order kinetic equations were applied on the results of copper and chromium ions adsorption onto spent brewer?s grain. The biosorption of copper ions corresponds the best to the 2.5, and biosorption of chromium ions to the 4.9 reaction order. The analyses of the kinetic tests results on different biosorbents conducted by other authors indicate that the determination of the reaction order should be obtained by generalized kinetic model. It was also established that the f value (relative goodness of curve fitting) was better for the prediction which equations is better, than the R value (correlation coefficient).

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Roduit, Bertrand, Charles Albert Luyet, Marco Hartmann, Patrick Folly, Alexandre Sarbach, Alain Dejeaifve, Rowan Dobson et al. « Continuous Monitoring of Shelf Lives of Materials by Application of Data Loggers with Implemented Kinetic Parameters ». Molecules 24, n^o 12 (13 juin 2019) : 2217. http://dx.doi.org/10.3390/molecules24122217.

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The evaluation of the shelf life of, for example, food, pharmaceutical materials, polymers, and energetic materials at room or daily climate fluctuation temperatures requires kinetic analysis in temperature ranges which are as similar as possible to those at which the products will be stored or transported in. A comparison of the results of the evaluation of the shelf life of a propellant and a vaccine calculated by advanced kinetics and simplified 0th and 1st order kinetic models is presented. The obtained simulations show that the application of simplified kinetics or the commonly used mean kinetic temperature approach may result in an imprecise estimation of the shelf life. The implementation of the kinetic parameters obtained from advanced kinetic analyses into programmable data loggers allows the continuous online evaluation and display on a smartphone of the current extent of the deterioration of materials. The proposed approach is universal and can be used for any goods, any methods of shelf life determination, and any type of data loggers. Presented in this study, the continuous evaluation of the shelf life of perishable goods based on the Internet of Things (IoT) paradigm helps in the optimal storage/shipment and results in a significant decrease of waste.

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Maas, Stefan A., Tim Göcking, Robert Stojan, Claudia Voelcker-Rehage et Dieter F. Kutz. « Synchronization of Neurophysiological and Biomechanical Data in a Real-Time Virtual Gait Analysis System (GRAIL) : A Proof-of-Principle Study ». Sensors 24, n^o 12 (11 juin 2024) : 3779. http://dx.doi.org/10.3390/s24123779.

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The investigation of gait and its neuronal correlates under more ecologically valid conditions as well as real-time feedback visualization is becoming increasingly important in neuro-motor rehabilitation research. The Gait Real-time Analysis Interactive Lab (GRAIL) offers advanced opportunities for gait and gait-related research by creating more naturalistic yet controlled environments through immersive virtual reality. Investigating the neuronal aspects of gait requires parallel recording of brain activity, such as through mobile electroencephalography (EEG) and/or mobile functional near-infrared spectroscopy (fNIRS), which must be synchronized with the kinetic and /or kinematic data recorded while walking. This proof-of-concept study outlines the required setup by use of the lab streaming layer (LSL) ecosystem for real-time, simultaneous data collection of two independently operating multi-channel EEG and fNIRS measurement devices and gait kinetics. In this context, a customized approach using a photodiode to synchronize the systems is described. This study demonstrates the achievable temporal accuracy of synchronous data acquisition of neurophysiological and kinematic and kinetic data collection in the GRAIL. By using event-related cerebral hemodynamic activity and visually evoked potentials during a start-to-go task and a checkerboard test, we were able to confirm that our measurement system can replicate known physiological phenomena with latencies in the millisecond range and relate neurophysiological and kinetic data to each other with sufficient accuracy.

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Cardona, Manuel, Cecilia E. García Cena, Fernando Serrano et Roque Saltaren. « ALICE : Conceptual Development of a Lower Limb Exoskeleton Robot Driven by an On-Board Musculoskeletal Simulator ». Sensors 20, n^o 3 (31 janvier 2020) : 789. http://dx.doi.org/10.3390/s20030789.

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Objective: In this article, we present the conceptual development of a robotics platform, called ALICE (Assistive Lower Limb Controlled Exoskeleton), for kinetic and kinematic gait characterization. The ALICE platform includes a robotics wearable exoskeleton and an on-board muscle driven simulator to estimate the user’s kinetic parameters. Background: Even when the kinematics patterns of the human gait are well studied and reported in the literature, there exists a considerable intra-subject variability in the kinetics of the movements. ALICE aims to be an advanced mechanical sensor that allows us to compute real-time information of both kinetic and kinematic data, opening up a new personalized rehabilitation concept. Methodology: We developed a full muscle driven simulator in an open source environment and validated it with real gait data obtained from patients diagnosed with multiple sclerosis. After that, we designed, modeled, and controlled a 6 DoF lower limb exoskeleton with inertial measurement units and a position/velocity sensor in each actuator. Significance: This novel concept aims to become a tool for improving the diagnosis of pathological gait and to design personalized robotics rehabilitation therapies. Conclusion: ALICE is the first robotics platform automatically adapted to the kinetic and kinematic gait parameters of each patient.

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Cornish-Bowden, A., et L. Endrenyi. « Robust regression of enzyme kinetic data ». Biochemical Journal 234, n^o 1 (15 février 1986) : 21–29. http://dx.doi.org/10.1042/bj2340021.

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A method described previously [Cornish-Bowden & Endrenyi (1981) Biochem. J. 193, 1005-1008] for fitting theoretical equations to enzyme kinetic data without prior knowledge of weights or error distribution has been tested by computer simulation. With the equations for various kinds of linear inhibition as an example, the method performed well under all of the conditions examined, giving results that were often much better than those given by widely used least-squares alternatives, and were never appreciably worse. Although equations for two-substrate kinetics were not explicitly tested, the results for inhibition equations can be generalized to include two-substrate equations because the two are formally equivalent for simulation purposes. As a check on the results with inhibition equations the method was also tested for fitting bell-shaped pH-activity profiles and gave correspondingly good results.

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Liu, Zu Lan, Lan Qian Li, Yi Ping Liu et Ming Lu. « Kinetic Study of the Adsorption of Dye onto Cotton in SDS-CTAB Reverse Micelles ». Applied Mechanics and Materials 723 (janvier 2015) : 591–95. http://dx.doi.org/10.4028/www.scientific.net/amm.723.591.

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Adsorption kinetic study of C.I. reactive blue 19 onto cotton was carried out in SDS-CTAB reverse micelles. The data of adsorption kinetics were examined using pseudo first-and second-order kinetic models. It was found that the adsorption kinetics of dye on cotton with diffusion controlling follows the pseudo first-order kinetic model.

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Theriault, Jean-Francois, Dao-Wei Zhu et Sheng-Xiang Lin. « The trans-membrane 17βHSD7 : Kinetic study and preliminary crystallization data ». Acta Crystallographica Section A Foundations and Advances 70, a1 (5 août 2014) : C1503. http://dx.doi.org/10.1107/s2053273314084964.

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Human 17β-Hydroxysteroid dehydrogenase type 7 (h17HSD7) is a transmembrane enzyme belonging to the large, phylogenetically related protein family of short-chain dehydrogenases/reductases (SDR). In this study, h17HSD7 was expressed, purified, and the steady-state kinetics was studied. Here we report a purification method of the transmembrane enzyme using FPLC equipment with a combination of detergents to obtain homogeneous protein. We also report steady-state kinetics for h17HSD7 at 37 degrees Celsius and pH 7.5, using a homogeneous enzyme preparation with estrone (E1), or dihydrotestosterone (DHT) as substrate and NADPH as the cofactor. Kinetic studies made over a wide range of concentrations of both steroids (2microM to 60microM) revealed that E1 (Km= 12microM) has a higher apparent affinity for the h17BHSD7 compared to DHT (Km= 44microM). Crystallization of h17HSD7 in complex with high concentration of steroids to saturate the enzyme in the drop as low apparent affinity of both steroids was found in kinetic study. Some preliminary crystals were obtained by hanging-drop and diffracted at synchrotron facility (Maximum resolution: 2.95Å , Space group: H 3 2, Average unit cell: 120.74 120.74 201.94 90 90 90, Mosaicity : 0.51).

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Vera, Leonel R., Pedro A. Ortega et Miguel Guzmán. « Kinetica : An Excel Program To Simulate or Analyze Kinetic Data ». Journal of Chemical Education 81, n^o 1 (janvier 2004) : 159. http://dx.doi.org/10.1021/ed081p159.2.

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Pandey, D. K., et S. Biswas. « Analysis of the Experimental Data of Acid Hydrolysis in Micelle Assemblies Using Kinetic Model ». International Journal of ChemTech Research 13, n^o 3 (2020) : 195–202. http://dx.doi.org/10.20902/ijctr.2019.130316.

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Acid Hydrolysis of carboxylate ester with hydroxamate ions in micellar media has been discussed in our last research works. In this paper, we used all the obtained kinetic experimental data for correlation and explanation by modeling techniques. We know the different types of modeling techniques available and used in the current times. Michael menten one site total binding constant and one site fite Ki models apply for the explanation of kinetics data. The models were given a good explanation and correlation of these types of kinetic data.

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Badenhorst, Melinda, Christopher J. Barry, Christiaan J. Swanepoel, Charles Theo van Staden, Julian Wissing et Johann M. Rohwer. « Workflow for Data Analysis in Experimental and Computational Systems Biology : Using Python as ‘Glue’ ». Processes 7, n^o 7 (18 juillet 2019) : 460. http://dx.doi.org/10.3390/pr7070460.

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Bottom-up systems biology entails the construction of kinetic models of cellular pathways by collecting kinetic information on the pathway components (e.g., enzymes) and collating this into a kinetic model, based for example on ordinary differential equations. This requires integration and data transfer between a variety of tools, ranging from data acquisition in kinetics experiments, to fitting and parameter estimation, to model construction, evaluation and validation. Here, we present a workflow that uses the Python programming language, specifically the modules from the SciPy stack, to facilitate this task. Starting from raw kinetics data, acquired either from spectrophotometric assays with microtitre plates or from Nuclear Magnetic Resonance (NMR) spectroscopy time-courses, we demonstrate the fitting and construction of a kinetic model using scientific Python tools. The analysis takes place in a Jupyter notebook, which keeps all information related to a particular experiment together in one place and thus serves as an e-labbook, enhancing reproducibility and traceability. The Python programming language serves as an ideal foundation for this framework because it is powerful yet relatively easy to learn for the non-programmer, has a large library of scientific routines and active user community, is open-source and extensible, and many computational systems biology software tools are written in Python or have a Python Application Programming Interface (API). Our workflow thus enables investigators to focus on the scientific problem at hand rather than worrying about data integration between disparate platforms.

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Yuan, Gang, Bin Zhao et Khim Hoong Chu. « Adsorption of fluoride by porous adsorbents : Estimating pore diffusion coefficients from batch kinetic data ». Environmental Engineering Research 25, n^o 5 (6 septembre 2019) : 645–51. http://dx.doi.org/10.4491/eer.2019.205.

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A simple method is presented for extracting pore diffusion coefficients from batch adsorption kinetic data. The method employs the classic Langmuir kinetics model which is characterized by a single rate coefficient. An analytical solution in the form of a simple algebraic equation is available for this rate model. Fitting the algebraic equation to batch kinetic data to determine the rate coefficient is straightforward and can be conveniently accomplished using standard spreadsheet programs. The resultant rate coefficient can be converted to the pertinent pore diffusion coefficient via a separate algebraic expression. The proposed modeling approach provides accurate fits of experimental kinetic data taken from the literature and yields acceptable errors in the best estimates for pore diffusion coefficients. Specific examples discussed are the adsorption of fluoride by bone char and laterite adsorbents.

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Sihn, Sangwook, Gregory J. Ehlert, Ajit K. Roy et Jonathan P. Vernon. « Identifying unified kinetic model parameters for thermal decomposition of polymer matrix composites ». Journal of Composite Materials 53, n^o 20 (4 novembre 2018) : 2875–90. http://dx.doi.org/10.1177/0021998318805821.

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Predicting thermal responses of composite materials requires accurate input parameters derived from reliable thermal property characterization and kinetic models. Composite material properties and decomposition kinetics vary with temperature and heating rate. Typically, conventional kinetic models derived from thermogravimetric analysis data result in multiple sets of kinetic model parameters, which are difficult to implement into numerical simulations under widely varying temperature and heating rate conditions. Here, a methodology was developed to reliably predict decomposition processes of composite materials with a single (i.e., unified) set of kinetic model parameters. The unified kinetic model parameters for each of four different composite materials were used to accurately predict decomposition kinetics observed over the entire range of experimental temperatures and heating rates. Furthermore, this broadly applicable methodology may predict decomposition from limited data sets, and is expected to extrapolate reliably measurable data to experimentally challenging heating rates and temperatures.

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Wu, Yeong-Shing, et Chow-Feng Chiang. « Analyzing transient respirometric data by analytical algorithm for Monod kinetic parameters ». Water Science and Technology 81, n^o 2 (15 janvier 2020) : 410–19. http://dx.doi.org/10.2166/wst.2020.125.

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Abstract This study aims to develop an analytical algorithm with oxygen update (Ou) data obtained from transient respirometric measurement. Based on Monod kinetics, this study formulates a novel two-phase analytical model for an oxygen uptake rate plot (OUR vs. Ou) obtained by respirometric techniques. The first phase is a hyperbolic equation relating to exogenous and endogenous respiration, while the second phase is a linear equation for endogenous respiration only. An algorithm was therefore developed to analyze four Monod parameters by locating the best phase-separating point at which the absolute average relative error (ARE) of OUR is minimized. An analysis using test data on acetate verified that the algorithm is capable of transient kinetic parameter estimation with an ARE below 5–10%. A sensitivity analysis on domestic wastewater coupled with a Monte Carlo simulation concluded that the kinetic test must be conducted at a relatively high initial substrate level (So/Xo ≧ 1 and So/Ks ≧ 10) for reliable parameter estimation. Moreover, it is crucial to conduct the kinetic test with sufficient and acclimated seed culture for the degradation of substrate. The results of this study can be used to develop an automatic transient kinetic analyzer with modern programmable respirometers.

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Tabak, H. H., C. Gao, S. Desai et R. Govind. « Development of Predictive Structure-Biodegradation Relationship Models with the Use of Respirometrically Generated Biokinetic Data ». Water Science and Technology 26, n^o 3-4 (1 août 1992) : 763–72. http://dx.doi.org/10.2166/wst.1992.0457.

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Biodegradation is an important mechanism determining the fate of chemicals in the aquatic environment. In this paper, experimental data, determined from electrolytic respirometry, for 27 compounds were analyzed using first order and Monod kinetics. Additional data from the literature were also used in our analysis. A method based on group contribution to predict first-order and Monod kinetic rate constants was developed and validated. The group contribution approach gave reasonable results for a variety of compounds. More kinetic data are required to extend the group contribution approach.

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SAKAKIBARA, Mikio, Fumio OKADA, Michiyo HORIUCHI et Kirnihiro Suzuki. « Kinetic analysis of thermogravimetric data. » NIPPON KAGAKU KAISHI, n^o 10 (1989) : 1729–32. http://dx.doi.org/10.1246/nikkashi.1989.1729.

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Masson, L. « Self-consistency of kinetic data ». Trends in Biochemical Sciences 22, n^o 5 (mai 1997) : 150. http://dx.doi.org/10.1016/s0968-0004(97)01039-6.

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Gorban', A. N., E. M. Mirkes, A. N. Bocharov et V. I. Bykov. « Thermodynamic consistency of kinetic data ». Combustion, Explosion, and Shock Waves 25, n^o 5 (septembre 1989) : 593–600. http://dx.doi.org/10.1007/bf00772975.

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Salvador, A. Romero, E. Garcia Calvo et P. Leton. « Kinetic analysis of TG data ». Thermochimica Acta 154, n^o 2 (novembre 1989) : 263–69. http://dx.doi.org/10.1016/0040-6031(89)85463-2.

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Zsakó, J., I. Ganescu, Cs Várhelyi et L. Chirigiu. « Kinetic analysis of thermogravimetric data ». Journal of Thermal Analysis 48, n^o 2 (février 1997) : 367–71. http://dx.doi.org/10.1007/bf01979281.

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Zsakó, J. « Kinetic analysis of thermogravimetric data ». Journal of Thermal Analysis 46, n^o 6 (juin 1996) : 1845–64. http://dx.doi.org/10.1007/bf01980788.

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Liptay, G., J. Zsakó, Cs Várhelyi et Cs Novák. « Kinetic analysis of thermogravimetric data ». Journal of Thermal Analysis 38, n^o 10 (octobre 1992) : 2301–10. http://dx.doi.org/10.1007/bf02123983.

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Maclay, Julio, et David Garfinkel. « Microcomputer kinetic data fitting program ». Trends in Biochemical Sciences 11, n^o 8 (août 1986) : 347. http://dx.doi.org/10.1016/0968-0004(86)90299-9.

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Zsakó, J., G. Liptay, Cs Várhelyi, Cs Novák et I. Ganescu. « Kinetic analysis of thermogravimetric data ». Journal of Thermal Analysis 37, n^o 11-12 (novembre 1991) : 2681–91. http://dx.doi.org/10.1007/bf01912812.

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Basheer Hasan, Diya'uddeen, Abdul Aziz Abdul Raman et Wan Mohd Ashri Wan Daud. « Kinetic Modeling of a Heterogeneous Fenton Oxidative Treatment of Petroleum Refining Wastewater ». Scientific World Journal 2014 (2014) : 1–8. http://dx.doi.org/10.1155/2014/252491.

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The mineralisation kinetics of petroleum refinery effluent (PRE) by Fenton oxidation were evaluated. Within the ambit of the experimental data generated, first-order kinetic model (FKM), generalised lumped kinetic model (GLKM), and generalized kinetic model (GKM) were tested. The obtained apparent kinetic rate constants for the initial oxidation step (k2′), their final oxidation step (k1′), and the direct conversion to endproducts step (k3′) were 10.12, 3.78, and 0.24 min−1for GKM; 0.98, 0.98, and nil min−1for GLKM; and nil, nil, and >0.005 min−1for FKM. The findings showed that GKM is superior in estimating the mineralization kinetics.

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Maitra, S., S. Mukherjee, N. Saha et J. Pramanik. « Non-isothermal decomposition kinetics of magnesite ». Cerâmica 53, n^o 327 (septembre 2007) : 284–87. http://dx.doi.org/10.1590/s0366-69132007000300011.

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Kinetics of thermal decomposition of Indian magnesite was studied by thermo-gravimetric analysis under non-isothermal condition. Coats and Redfern Integral approximation method was used to determine the kinetic parameters. Using the kinetic parameters different kinetic functions were analyzed with the experimental data to ascertain the decomposition mechanism of magnesium carbonate and it was observed that the decomposition reaction followed a contracting sphere kinetic mechanism.

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Nurrahmawati, Erfha, Karin Ariska et Neni Mulya. « Bermain Pasir Kinestik (Kinetic Sand) untuk Meningkatkan Kreativitas Anak Usia Dini ». Jurnal Pelita PAUD 7, n^o 1 (14 décembre 2022) : 55–62. http://dx.doi.org/10.33222/pelitapaud.v7i1.2066.

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Penelitian tindakan ini bertujuan untuk menggambarkan proses dan hasil dalam meningkatkan kreativitas anak kelompok B TK Nurul Iman Serang Banten melalui penerapan bermain pasir kinetik (kinetic sand). Metode penelitian yang digunakan adalah penelitian tindakan dengan model Kemmis dan Taggart, yang meliputi perencanaan, tindakan dan pengamatan, refleksi. Subjek penelitian ini adalah anak kelompok B TK Nurul Iman yang berjumlah 16 orang anak. Penelitian dilakukan dalam dua siklus yang terdiri dari delapan pertemuan pada setiap siklus. Teknik pengumpulan data dilakukan melalui observasi, wawancara dan dokumentasi. Teknik analisis data dalam penelitian ini adalah analisis data kualitatif dan analisis data kuantitatif. Hasil penelitian menunjukkan bahwa kreativitas anak mengalami peningkatan setelah diterapkan bermain pasir kinetik (kinetic sand). Skor kreativitas anak pada pra siklus sebesar 41,75, siklus I sebesar 53,812, dan siklus II sebesar 69. Hasil tersebut memberikan implikasi bahwa kreativitas anak dapat ditingkatkan melalui penerapan bermain pasir kinetik (kinetic sand).

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Radaideh, Majdi I., Tomasz Kozlowski, William A. Wieselquist et Matthew A. Jessee. « Data-Driven and Precursor-Group Uncertainty Propagation of Lattice Kinetic Parameters in UAM Benchmark ». Science and Technology of Nuclear Installations 2019 (2 mai 2019) : 1–21. http://dx.doi.org/10.1155/2019/3702014.

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A new data-driven sampling-based framework was developed for uncertainty quantification (UQ) of the homogenized kinetic parameters calculated by lattice physics codes such as TRITON and Polaris. In this study, extension of the database for the delayed neutron data (DND) is performed by exploring more delayed neutron experiments and adding additional isotopes/actinides to the data libraries. Afterwards, the framework is utilized to obtain a deeper knowledge of the kinetic parameters’ sensitivity and uncertainty. The kinetic parameters include precursor-group-wise delayed neutron fraction (DNF) and decay constant. Input uncertainties include nuclear data (i.e., cross-sections) and DND (i.e., precursor group parameters and fractional delayed neutron yield). It is found that kinetic parameters, especially DNFs, have large uncertainties. The DNF uncertainty is driven by the cross-section uncertainties for LWR designs, while decay constant uncertainty is dominated by the DND uncertainties. The usage of correlated U-235 thermal DND in the UQ process significantly reduces the DND uncertainty contribution on the kinetic parameters. Large void fraction and presence of neutron absorber (e.g., control rod) increase the DNF uncertainty due to the hardening of neutron spectrum. High correlation between the DNF groups (β1,..,β6) is observed, while the decay constant groups (λ1,..,λ6) show weak correlation to each other and also to DNF groups. The DNF uncertainties of the dominant precursor group 4 for PWR, BWR, and VVER are about 7.5%, 9.4%, and 7.6%, respectively. The DNF uncertainty grows to larger values after fuel burnup. Kinetic parameters’ values and uncertainties provided here can be efficiently used in subsequent core calculations, point reactor kinetics, and other applications.

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McCaw, Steven T., Jacob K. Gardner, Lindsay N. Stafford et Michael R. Torry. « Filtering Ground Reaction Force Data Affects the Calculation and Interpretation of Joint Kinetics and Energetics During Drop Landings ». Journal of Applied Biomechanics 29, n^o 6 (décembre 2013) : 804–9. http://dx.doi.org/10.1123/jab.29.6.804.

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An inverse dynamic analysis and subsequent calculation of joint kinetic and energetic measures is widely used to study the mechanics of the lower extremity. Filtering the kinematic and kinetic data input to the inverse dynamics equations affects the calculated joint moment of force (JMF). Our purpose was to compare selected integral values of sagittal plane ankle, knee, and hip joint kinetics and energetics when filtered and unfiltered GRF data are input to inverse dynamics calculations. Six healthy, active, injury-free university student (5 female, 1 male) volunteers performed 10 two-legged landings. JMFs were calculated after two methods of data filtering. Unfiltered: marker data were filtered at 10 Hz, GRF data unfiltered. Filtered: both GRF and marker data filtered at 10 Hz. The filtering of the GRF data affected the shape of the knee and hip joint moment-time curves, and the ankle, knee and hip joint mechanical power-time curves. We concluded that although the contributions of individual joints to the support moment and to total energy absorption were not affected, the attenuation of high-frequency oscillations in both JMF and JMP time curves will influence interpretation of CNS strategies during landing.

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Coduto, Joshua Richard, et Johna Leddy. « Taffit : An Algorithm for Fitting Tafel Data ». ECS Meeting Abstracts MA2023-01, n^o 50 (28 août 2023) : 2567. http://dx.doi.org/10.1149/ma2023-01502567mtgabs.

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Tafel analysis is widely used to characterize electrochemical kinetics and assess the properties of electrocatalysts for use in fuel cells, electrolyzers, and other applications. This method is limited in part by the subjective determination of linearity, as the kinetic parameters obtained by the regression may vary significantly depending on the chosen linear region. In an effort to increase measurement quality and decrease subjectivity, an algorithm has been developed in Microsoft® Excel® that generates a Tafel plot from an LSV and determines the exchange current density j 0, charge transfer coefficient α, and Tafel slope of closest fit. Comparisons of kinetic parameters between conventional and algorithmic Tafel analysis are made for the hydrogen evolution reaction (HER, 2H+ + 2e- ⇌ H2) for different electrodes. The algorithmic parameters correlate well with conventional methods and show increased measurement precision. Similar agreement is observed between literature and algorithmic fits of representative Tafel plots. The developed algorithm allows for straightforward, rapid, and user bias limited Tafel analysis and can be used to increase measurement quality.

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Pierce, R. A., M. S. Orendurff, R. Dorociak et L. A. Smith. « Effect of mimicked gait patterns on kinematic and kinetic data ». Gait & ; Posture 4, n^o 2 (avril 1996) : 200–201. http://dx.doi.org/10.1016/0966-6362(96)80644-8.

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Janssen, Ina, Jeremy M. Sheppard, Andrew A. Dingley, Dale W. Chapman et Wayne Spratford. « Lower Extremity Kinematics and Kinetics When Landing From Unloaded and Loaded Jumps ». Journal of Applied Biomechanics 28, n^o 6 (décembre 2012) : 687–93. http://dx.doi.org/10.1123/jab.28.6.687.

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Countermovement jumps loaded with a weighted vest are often used for the training of lower body power to improve jump performance. However, it is currently unknown how this added load affects the lower extremity kinematics and kinetics, in particular whether this results in an increased injury risk. Therefore, the purpose of this investigation was to determine how lower extremity kinematics and kinetics during landing are affected by loaded jumps as demonstrated in a volleyball block jump landing. Ten elite male volleyball players performed block jump landings in an unloaded and loaded (9.89 kg) condition. Kinematic and kinetic landing data from the three highest jumps were collected and assessed. Paired samplesttest was used to establish whether load condition had a significant effect on lower extremity kinematics and kinetics. Hip flexion was significantly greater in the unloaded condition compared with the loaded condition (p= .004). There was no significant difference in any other kinematic or kinetic variables measures between the unloaded and loaded conditions. These results suggest that landing from loaded volleyball block jumps does not increase injury risk compared with unloaded jumps in elite male volleyball players.

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Dubdub, Ibrahim, et Mohammed Al-Yaari. « Pyrolysis of Low Density Polyethylene : Kinetic Study Using TGA Data and ANN Prediction ». Polymers 12, n^o 4 (12 avril 2020) : 891. http://dx.doi.org/10.3390/polym12040891.

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Pyrolysis of waste low-density polyethylene (LDPE) is considered to be a highly efficient, promising treatment method. This work aims to investigate the kinetics of LDPE pyrolysis using three model-free methods (Friedman, Flynn-Wall-Qzawa (FWO), and Kissinger-Akahira-Sunose (KAS)), two model-fitting methods (Arrhenius and Coats-Redfern), as well as to develop, for the first time, a highly efficient artificial neural network (ANN) model to predict the kinetic parameters of LDPE pyrolysis. Thermogravimetric (TG) and derivative thermogravimetric (DTG) thermograms at 5, 10, 20 and 40 K min−1 showed only a single pyrolysis zone, implying a single reaction. The values of the kinetic parameters (E and A) of LDPE pyrolysis have been calculated at different conversions by three model-free methods and the average values of the obtained activation energies are in good agreement and ranging between 193 and 195 kJ mol−1. In addition, these kinetic parameters at different heating rates have been calculated using Arrhenius and Coats-Redfern methods. Moreover, a feed-forward ANN with backpropagation model, with 10 neurons in two hidden layers and logsig-logsig transfer functions, has been employed to predict the thermogravimetric analysis (TGA) kinetic data. Results showed good agreement between the ANN-predicted and experimental data (R > 0.9999). Then, the selected network topology was tested for extra new input data with a highly efficient performance.

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L Salami, DO Olumuyiwa, EA Alfred et OS Olakanmi. « Kinetic modelling of dumpsite leachate treatment using Musa sapientum peels as bio-sorbent ». Global Journal of Engineering and Technology Advances 9, n^o 2 (30 novembre 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 in different conical flasks and at various contacting time. The kinetic data obtained were fitted to different kinetics models. The kinetics models tested were Fractional power model, Lagregren pseudo first – order model, Pseudo second – order model, Kuo – Lotse kinetic model, Blanchard kinetic model and Elovich kinetic model. Other kinetics models considered were Sobkowsk – Czerwi kinetic model, Intraparticle diffusion (IPD) model, Behnajady – Modirshahla – Ghanbery (BMG) model and Diffusion – Chemisorption model. Coefficient of determination (R2) values and the expected nature of the plots of the models were used to screen the tested models. The results revealed that the Pseudo second – order kinetic model has the best R2 value of 0.99996 and the graph followed the expected nature of the plot hence it was adopted in this work. It was concluded that Pseudo second – order kinetic model can be used to navigate the treatment process of Lagos dumpsite using Musa sapientum peels as bio-sorbent.

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Abbas, Ahmed Mohammed, Suha Sahib Abd et Takialdin Abdulhadi Himdan. « Kinetic Study of Methyl Green Dye Adsorption from Aqueous Solution by Bauxite Clay at Different Temperatures ». Ibn AL- Haitham Journal For Pure and Applied Science 31, n^o 1 (16 mai 2018) : 58. http://dx.doi.org/10.30526/31.1.1853.

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Kinetic experiments were performed to induce of the green methyl dye adsorption from aqueous solution on the bauxite clay. This study includes determination of the adsorption capacity of bauxite clay to methyl green dye adsorption and study the effect of some parameters ( temperature , time ) on the kinetic of the adsorption process of the dye were studied. Quantity of dye adsorbed was increased when the temperature increases from 298 to 318K which indicates that methyl green adsorption processes are endothermic nature . In order to describe the kinetic data and the rate adsorption constants of the pseudo-first-order and second-order kinetics were used . The kinetics data were applied well with the second-order kinetic model. From activation energy value (Ea) for methyl green dye are energetically favorable and the dye adsorption includes physical and chemical adsorption types

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Neves, Naiana Santos da Cruz Santana, Ramon Vinícius Santos de Aquino, Ingrid Larissa da Silva Santana, Welenilton José do Nascimento Júnior, Ada Azevedo Barbosa, Rafaela Ferreira Carvalho, Josivan Pedro Silva, Mohand Benachour et Otidene Rossiter Sá da Rocha. « Biosorption textile wastewater employing lemon peel derivatives : data analysis and kinetic modeling ». Revista Eletrônica em Gestão, Educação e Tecnologia Ambiental 26 (26 décembre 2022) : e2. http://dx.doi.org/10.5902/2236117065265.

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The present work aimed to evaluate the efficiency of an agro-industrial waste biosorbent in the removal of real textile wastewater. A model sample with methylene blue and remazol golden yellow at equimolar proportions was prepared to be treated with in natura, carbonized, and activated lemon peel beads. Activated biosorbent demonstrated superior capacity and removal rates. Characterization analyses investigated the morphology and physico-chemical properties of the biomaterial. The pH (2.0) and dosage (1.6 g.L-1) studies were carried out to select parameters for further studies. In kinetic assays, methylene blue equilibrium was reached faster than remazol golden yellow RNL. The analyses of fitting parameters indicated Elovich kinetic model to describe biosorption of the yellow dye while pseudo-first-order fit best to the blue dye biosorption data. The intraparticle diffusion model indicated that more than one step may limit biosorption kinetics. In the treatment of real textile wastewater, 94.22% of dyes removal was attained after 360 minutes of operation at the selected operational conditions. Kinetics of adsorption of real wastewater presented considerable fitting to the models with R² greater than 0.93. An artificial neural network model was developed to describe the removal of dyes in real wastewater with satisfactory fitting (R2 = 0.990).

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Perrillat, J. P. « Kinetics of high-pressure mineral phase transformations using in situ time-resolved X-ray diffraction in the Paris-Edinburgh cell : a practical guide for data acquisition and treatment ». Mineralogical Magazine 72, n^o 2 (avril 2008) : 683–95. http://dx.doi.org/10.1180/minmag.2008.072.2.683.

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AbstractSynchrotron X-ray diffraction (XRD) is a powerful technique to study in situ and in real-time the structural and kinetic processes of pressure-induced phase transformations. This paper presents the experimental set-up developed at beamline ID27 of the ESRF to perform time-resolved angle dispersive XRD in the Paris-Edinburgh cell. It provides a practical guide for the acquisition of isobaric-isothermal kinetic data and the construction of transformation-time plots. The interpretation of experimental data in terms of reaction mechanisms and transformation rates is supported by an overview of the kinetic theory of solid-solid transformations, with each step of data processing illustrated by experimental results of relevance to the geosciences. Reaction kinetics may be affected by several factors such as the sample microstructure, impurities or differential stress. Further high-pressure kinetic studies should investigate the influence of such processes, in order to acquire kinetic information more akin to natural or technological processes.

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Liu, Tian Shu, Xiang Bao Chen et Bao Yan Zhang. « Study on the Cure Kinetics of Middle Temperature Curing 3234 Epoxy Resin System ». Materials Science Forum 475-479 (janvier 2005) : 1041–44. http://dx.doi.org/10.4028/www.scientific.net/msf.475-479.1041.

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The cure kinetics of middle temperature curing 3234 epoxy resin was investigated under both isothermal and dynamic curing conditions by Differential Scanning Calorimetry (DSC) technique. The kinetic equations for isothermal and dynamic curing were established respectively by analyzing experimental data obtained from DSC . By following the temperature procedure of the standard cure cycle of the resin system, the validity of the cure kinetic equations was verified by means of determining the residual heat of reaction of samples from different stages of the cure cycle. Results showed that the cure kinetics under both isothermal and dynamic conditions could be described by the autocatalytic kinetic model. Predictions by the kinetic equation for dynamic curing agreed well with the experimental results.

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Caldwell, Graham E., Li Li, Steve D. McCole et James M. Hagberg. « Pedal and Crank Kinetics in Uphill Cycling ». Journal of Applied Biomechanics 14, n^o 3 (août 1998) : 245–59. http://dx.doi.org/10.1123/jab.14.3.245.

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Alterations in kinetic patterns of pedal force and crank torque due to changes in surface grade (level vs. 8% uphill) and posture (seated vs. standing) were investigated during cycling on a computerized ergometer. Kinematic data from a planar cine analysis and force data from a pedal instrumented with piezoelectric crystals were recorded from multiple trials of 8 elite cyclists. These measures were used to calculate pedal force, pedal orientation, and crank torque profiles as a function of crank angle in three conditions: seated level, seated uphill, and standing uphill. The change in surface grade from level to 8% uphill resulted in a shift in pedal angle (toe up) and a moderately higher peak crank torque, due at least in part to a reduction in the cycling cadence. However, the overall patterns of pedal and crank kinetics were similar in the two seated conditions. In contrast, the alteration in posture from sitting to standing on the hill permitted the subjects to produce different patterns of pedal and crank kinetics, characterized by significantly higher peak pedal force and crank torque that occurred much later in the downstroke. These kinetic changes were associated with modified pedal orientation (toe down) throughout the crank cycle. Further, the kinetic changes were linked to altered nonmuscular (gravitational and inertial) contributions to the applied pedal force, caused by the removal of the saddle as a base of support.

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Lin, Yen-Hui. « Kinetic Study of 4-Chlorophenol Biodegradation by Acclimated Sludge in a Packed Bed Reactor ». Processes 10, n^o 10 (19 octobre 2022) : 2130. http://dx.doi.org/10.3390/pr10102130.

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In this study, batch experiments were conducted to evaluate the degradation of 4-CP using acclimated sludge. The Monod and Haldane models were employed to fit the specific growth rate with various initial 4-CP concentrations of 67–412 mg/L in the batch experiments. Haldane kinetics showed a better fit to experimental results than Monod kinetics. The kinetic parameters were obtained from a comparison of Monod and Haldane kinetics with batch experimental data. The values of μm and KS were found to be 0.691 d−1 and 5.62 mg/L, respectively, for Monod kinetics. In contrast, the values of μm, KS, and KI were 1.30 d−1, 8.38 mg/L, and 279.4 mg/L, respectively, for Haldane kinetics. The kinetic parameters in Haldane kinetics were used as input parameters for the kinetic model system of the packed bed reactor (PBR). The continuous flow PBR was conducted to validate the kinetic model system. The model-simulated results agreed well with experimental data in the PBR performance operation. At the steady-state stage, the removal efficiency of 4-CP was 70.8–96.1%, while the hydraulic retention time (HRT) was 2.5 to 12.4 h. The corresponding removal of 4-CP was assessed to be 94.6 and 96.1% when the inlet 4-CP loading rate was increased from 0.11 to 0.51 kg/m3-d. The approaches of kinetic models and experiments presented in this study can be applied to design a PBR for 4-CP treatment in wastewater from the effluents of various industries.

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Fouad, Mohamed R., Ahmed F. El-Aswad et Maher I. Aly. « Mathematical models of the adsorption-desorption kinetics of fenitrothion in clay soil and sandy clay loam soil ». Current Chemistry Letters 13, n^o 4 (2024) : 641–54. http://dx.doi.org/10.5267/j.ccl.2024.6.002.

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Batch adsorption and desorption kinetic experiments of fenitrothion on clay soil and sandy clay loam soil indicated that the equilibration time was approximately 30 hours. The kinetics of adsorption and desorption exhibited two distinct stages: a rapid process in the initial stages followed by a slow process. The pseudo-first-order model followed by the Elovich kinetic model fit the experimental adsorption and desorption data quite well, with high values of R2 and low values of ∆qe% and SSE. Accordingly, the pseudo-first-order model is most suitable for describing the adsorption and desorption kinetics of fenitrothion on clay soil and sandy clay soil. Pseudo-second-order model type-1 and type-2 models fit the experimental adsorption data; however, these models cannot be used to describe desorption kinetics. Moreover, the modified Freundlich model has limited applicability, and the intraparticle diffusion kinetic model cannot describe the kinetics of the adsorption and desorption of fenitrothion on clay and sandy clay loam soils.

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