Estimation of selectivities in the lipase-catalyzed esterification of trimethylolpropane with fatty acids

Mitchell, David A.; Krieger, Nádia; Estumano, Diego Cardoso

doi:10.1016/j.bej.2023.109024

Cited by 3 publications

(2 citation statements)

References 25 publications

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“…The algorithm used to accept and reject the parameters drawn was Metropolis–Hastings, which has already been applied in the adsorption field in the literature. ,,− As for the statistical metrics to assess how well the model can reproduce the experimental data, the coefficient of determination was adopted and in the case of assessing kinetic models in which there is more than one, the Bayesian–BIC metric was used to assess which is the best model …”

Section: Methodsmentioning

confidence: 99%

Classical and Bayesian Computational Statistics Applied to Acetylsalicylic Acid Mitigation in Aqueous Solutions: Study of Batch Scale, Kinetic Modeling, and Fixed-Bed Column Adsorption

Jurado-Davila,

Reolon,

Nunes

et al. 2024

Ind. Eng. Chem. Res.

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Section: Methodsmentioning

confidence: 99%

Classical and Bayesian Computational Statistics Applied to Acetylsalicylic Acid Mitigation in Aqueous Solutions: Study of Batch Scale, Kinetic Modeling, and Fixed-Bed Column Adsorption

Jurado-Davila,

Reolon,

Nunes

et al. 2024

Ind. Eng. Chem. Res.

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“…This article used the Monte Carlo technique via Markov chain to estimate the unknown parameters and thus use the direct model to predict the breakthrough curves. The acceptance/rejection algorithm used was Metropolis–Hastings and is presented below. − …”

Section: Methodsmentioning

confidence: 99%

Immobilization of Marbofloxacin for Water Treatment by Adsorption in Batch Scale and Fixed-Bed Column: Applying of Monte Carlo Bayesian Modeling

Jurado-Davila,

Oshiro,

Estumano

et al. 2024

Ind. Eng. Chem. Res.

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Pharmaceutical molecules identified in the wastewater belong to several classes of antibiotics such as marbofloxacin (MBX). This study focuses on the immobilization of MBX by adsorption in batch scale and a fixed-bed column of granular activated carbon (GAC). The effects of significant operational parameters, such as adsorbent dosage, contact time, and pH, on the adsorption efficiency were investigated. After this, a fixed-bed column study was carried out to evaluate the behavior of breakthrough curves, adsorption capacity, and bed saturation. Additionally, a novel strategy was incorporated that uses Monte Carlo Bayesian modeling to improve the ability to predict the most suitable conditions of the process. Results showed a high efficiency of MBX removal by the methods used where the most suitable conditions for batch scale were at natural pH, a GAC mass of 1.5 g, and 60 min of contact time for about 80% removal. Regarding fixed bed column experiments that were evidenced, the impact of the initial MBX concentration on the breakthrough curve impacted the adsorbent’s saturation rate, generating changes in the concentration gradient. In addition to the experimental data analysis, the model applied to simulate the breakthrough curves showed be robust, and it was capable of making good predictions, given that the lowest coefficient of determination (R 2) was 0.85. The mass balance model used was validated and was able to make good predictions when compared with the experimental data, so it can be used to make inferences about the breakthrough curve under different operating conditions within the range in which the experiments were carried out.

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Enzymatic synthesis of TMP esters based on pelargonic acid from the cleavage of oleic acid: Evaluation of synthetic process, physicochemical properties and lubrication performance

Mao,

He,

Chen

et al. 2024

Biochemical Engineering Journal

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Estimation of selectivities in the lipase-catalyzed esterification of trimethylolpropane with fatty acids

Cited by 3 publications

References 25 publications

Classical and Bayesian Computational Statistics Applied to Acetylsalicylic Acid Mitigation in Aqueous Solutions: Study of Batch Scale, Kinetic Modeling, and Fixed-Bed Column Adsorption

Classical and Bayesian Computational Statistics Applied to Acetylsalicylic Acid Mitigation in Aqueous Solutions: Study of Batch Scale, Kinetic Modeling, and Fixed-Bed Column Adsorption

Immobilization of Marbofloxacin for Water Treatment by Adsorption in Batch Scale and Fixed-Bed Column: Applying of Monte Carlo Bayesian Modeling

Enzymatic synthesis of TMP esters based on pelargonic acid from the cleavage of oleic acid: Evaluation of synthetic process, physicochemical properties and lubrication performance

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