Solubility of cefuroxime axetil in supercritical CO2: Measurement and modeling

Ongkasin, Kanjana; Sauceau, Martial; Masmoudi, Yasmine; Fages, Jacques; Badens, Elisabeth

doi:10.1016/j.supflu.2019.03.010

Cited by 25 publications

(11 citation statements)

References 23 publications

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“…Additionally, upper respiratory tract infection is characterized by a critical onset and high recurrence rate-reaching up to over 10 times annually-which seriously affects children's growth, development, and their daily life. Treatment of this disease has thus become a major concern of pediatricians (13)(14)(15). In addition, the invasion of pathogenic bacteria incurred by upper respiratory tract infection can also lead to immune system disorders, which mainly manifest as an alteration in intestinal flora, meaning diarrhea is a common complication of upper respiratory tract infection.…”

Section: Discussionmentioning

confidence: 99%

Effects of cefuroxime axetil combined with Xingpi Yanger granules on the serum gastrin, motilin, and somatostatin levels in children with upper respiratory tract infection accompanied by diarrhea: results of a randomized trial

Ren

Wang

et al. 2021

Transl Pediatr

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Background: The purpose of the study was to investigate the effects of cefuroxime axetil combined with Xingpi Yanger granules on the treatment of upper respiratory tract infection accompanied by diarrhea and on serum gastrin (GAS), motilin (MOT), and somatostatin (SS) levels in children. Methods:In total, 124 children with upper respiratory tract infection accompanied by diarrhea admitted to the department of pediatrics in our hospital from May 2019 to May 2020 were selected and divided into a study group (n=62) and a reference group (n=62), according to admission number. The reference group children received routine treatment, while the children in the study group were treated with cefuroxime axetil combined with Xingpi Yanger granules. After treatment, each clinical index of the children in both groups was detected to evaluate the clinical efficacy of the different treatment methods.Results: There were no significant differences in gender ratio, average age, mean body temperature, mean duration of diarrhea, average weight, or place of residence between the 2 groups (P>0.05); the total clinical effective rate after treatment in the study group was significantly higher than that in the reference group (P<0.05); the dehydration correction time, antipyretic time, antidiarrheal time, and total treatment time in the study group were all significantly lower than those in the reference group (P<0.001); the serum GAS and MOT levels at T1, T2, and T3 in the study group were significantly lower than those in the reference group (P<0.001), whereas the SS levels at T1, T2, and T3 in the study group were significantly higher than those in the reference group (P<0.001); and the incidence of adverse reactions of the children in the study group was significantly lower than that in the reference group (P<0.05).Conclusions: Cefuroxime axetil combined with Xingpi Yanger granules can significantly lower serum GAS, MOT, and SS levels and shorten treatment time in children with upper respiratory tract infection accompanied by diarrhea, with significant clinical efficacy and high safety, and is thus worthy of application and promotion.

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Section: Discussionmentioning

confidence: 99%

Effects of cefuroxime axetil combined with Xingpi Yanger granules on the serum gastrin, motilin, and somatostatin levels in children with upper respiratory tract infection accompanied by diarrhea: results of a randomized trial

Ren

Wang

et al. 2021

Transl Pediatr

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“…Temperature as an input variable was found to have a low correlation coefficient of 0.04 with solubility, indicating that there is retrograde solubility interference at play [49]. Studies conducted by Ongkasin et al, on cefuroxime axetil solubility in supercritical CO 2 report that at isobaric conditions, an increase in temperature results in a decrease in density and solubility in the retrograde zone ((∂(ln(y))/ ∂T) P < 0; ∀ P L < P Solute < P U ), (where supercritical CO 2 density effect is predominant) But, at pressures lower and nearer to the lowest pressure limit of the retrograde zone along with pressures higher than the upper cross-over pressure ((∂(ln(y))/ ∂T) P > 0; ∀ 0 < P Solute < P L ), the effect of solute vapor pressure becomes predominant wherein an increase in temperature results in increased solubility [50]. Further, Density was found to have a negative correlation with solubility with a coefficient of -0.29.…”

Section: Assessment Of Relative Variable Importancementioning

confidence: 99%

Artificial Neural Network (FFBP-ANN) Based Grey Relational Analysis for Modeling Dyestuff Solubility in Supercritical CO2 with Ethanol as the Co-Solvent

Srinidhi¹

2021

Preprint

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The research on dye solubility modeling in supercritical carbon dioxide is gaining prominence over the past few decades. A simple and ubiquitous model that is capable of accurately predicting the solubility in supercritical carbon dioxide would be invaluable for industrial and research applications. In this study, we present such a model for predicting dye solubility in supercritical carbon dioxide with ethanol as the co-solvent for a qualitatively diverse sample of eight dyes. A feed forward back propagation - artificial neural network model based on Levenberg-Marquardt algorithm was constructed with seven input parameters for solubility prediction, the network architecture was optimized to be [7-7-1] with mean absolute error, mean square error, root mean square error and Nash-Sutcliffe coefficient to be 0.026, 0.0016, 0.04 and 0.9588 respectively. Further, Pearson-product moment correlation analysis was performed to assess the relative importance of the parameters considered in the ANN model. A total of twelve prevalent semiempirical equations were also studied to analyze their efficiency in correlating to the solubility of the prepared sample. Mendez-Teja model was found to be relatively efficient with root mean square error and mean absolute error to be 0.094 and 0.0088 respectively. Furthermore, Grey relational analysis was performed and the optimum regime of temperature and pressure were identified with dye solubility as the higher the better performance characteristic. Finally, the dye specific crossover ranges were identified by analysis of isotherms and a strategy for class specific selective dye extraction using supercritical CO2 extraction process is proposed.

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“…Temperature as an input variable was found to have a low correlation coefficient of 0.04 with solubility, indicating that there is retrograde solubility interference at play [49]. Studies conducted by Ongkasin et al, on cefuroxime axetil solubility in supercritical CO2 report that at isobaric conditions, an increase in temperature results in a decrease in density and solubility in the retrograde zone ((∂(ln(y))/ ∂T) P < 0; ∀ P L < P Solute < P U ), (where supercritical CO2 density effect is predominant) But, at pressures lower and nearer to the lowest pressure limit of the retrograde zone along with pressures higher than the upper cross-over pressure ((∂(ln(y))/ ∂T) P > 0; ∀ 0 < P Solute < P L ), the effect of solute vapor pressure becomes predominant wherein an increase in temperature results in increased solubility [50]. Further, Density was found to have a negative correlation with solubility with a coefficient of -0.29.…”

Section: Assessment Of Relative Variable Importancementioning

confidence: 99%

Artificial Neural Network (FFBP-ANN) Based Grey’s Relational Analysis for Modeling Dyestuff Solubility in Supercritical CO2 with Ethanol as the Co-Solvent

Srinidhi

Patel²,

Vk³

2020

Preprint

View full text Add to dashboard Cite

The research on dye solubility modeling in supercritical carbon dioxide is gaining prominence over the past few decades. A simple and ubiquitous model that is capable of accurately predicting the solubility in supercritical carbon dioxide would be invaluable for industrial and research applications. In this study, we present such a model for predicting dye solubility in supercritical carbon dioxide with ethanol as the co-solvent for a qualitatively diverse sample of eight dyes. A feed forward back propagation - artificial neural network model based on Levenberg-Marquardt algorithm was constructed with seven input parameters for solubility prediction, the network architecture was optimized to be [7-7-1] with mean absolute error, mean square error, root mean square error and Nash-Sutcliffe coefficient to be 0.026, 0.0016, 0.04 and 0.9588 respectively. Further, Pearson-product moment correlation analysis was performed to assess the relative importance of the parameters considered in the ANN model. A total of twelve prevalent semiempirical equations were also studied to analyze their efficiency in correlating to the solubility of the prepared sample. Mendez-Teja model was found to be relatively efficient with root mean square error and mean absolute error to be 0.094 and 0.0088 respectively. Furthermore, Grey’s relational analysis was performed and the optimum regime of temperature and pressure were identified with dye solubility as the higher the better performance characteristic. Finally, the dye specific crossover ranges were identified by analysis of isotherms and a strategy for class specific selective dye extraction using supercritical CO2 extraction process is proposed.

show abstract

Solubility of cefuroxime axetil in supercritical CO2: Measurement and modeling

Cited by 25 publications

References 23 publications

Effects of cefuroxime axetil combined with Xingpi Yanger granules on the serum gastrin, motilin, and somatostatin levels in children with upper respiratory tract infection accompanied by diarrhea: results of a randomized trial

Effects of cefuroxime axetil combined with Xingpi Yanger granules on the serum gastrin, motilin, and somatostatin levels in children with upper respiratory tract infection accompanied by diarrhea: results of a randomized trial

Artificial Neural Network (FFBP-ANN) Based Grey Relational Analysis for Modeling Dyestuff Solubility in Supercritical CO2 with Ethanol as the Co-Solvent

Artificial Neural Network (FFBP-ANN) Based Grey’s Relational Analysis for Modeling Dyestuff Solubility in Supercritical CO2 with Ethanol as the Co-Solvent

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