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To account for the differences in reactivity among pyrite samples, a unique value for K pyr was determined for experiments A, B, D, and E using all kinetic data collected.
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The Michaelis Menten equation was used to fit all kinetic data to Lineweaver Burk, and SigmaPlot software (Systat Software, Chicago, IL, USA) was applied to calculate the kinetic parameters.
In this work, we use a logistic model for all kinetic data from each RT-PCR and propose a new method of efficiency-adjusted relative quantification based on the estimates from the fitted logistic models.
A multiresponse kinetic model was then used to derive a model covering all kinetic data.
All kinetic data were evaluated using the BIAevaluation 4.1 software (Biacore).
All kinetic data were analyzed using Kaleidagraph and fit to the Michaelis Menten equation Vi = (Vmax[S])/ KM + [S]).
An unstructured mathematical model was proposed to describe the batch kinetics of fermentation and the model parameters were determined using batch kinetic data.
Using this kinetic data, the phase boundary for these forms was determined to be approximately 67% RH at 10°C, 74.5% RH at 25°C, and 86% RH at 40°C.
A modelling study is made of propylene hydrogenation over platinum-alumina, using extensive kinetic data along with information on the surface species.
Using experimental kinetic data available in the literature, general expressions for apparent reaction rate constants in three stages for methylmethacrylate (MMA) and styrene (St) are obtained.
The biodynamic model was constructed using the kinetic data sets available in the literature and the model validation was done by the comparison of the predicted values and those obtained in four new experiments.
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