Literature DB >> 26344969

Modelling solubility of phenolics of mango ginger extract in supercritical carbon dioxide using equation of state and empirical models.

Thirupathihalli Pandurangappa Krishna Murthy1, Balaraman Manohar2.   

Abstract

Solubility of phenolics of mango ginger extract in supercritical carbon dioxide was studied at 40-60 °C and 100-350 bar. Critical temperature, critical pressure and critical volume of caffeic acid, the principal component of the extract were calculated using group contribution methods and compared with the values obtained by CHEMDRAW®. Vapor pressure of caffeic acid was predicted by Reidel method. Solubility prediction in supercritical carbon dioxide was studied using two different equation of states (EOS) models and eight empirical models. Peng-Robinson EOS predicted the solubility very well with average deviation of 0.68 % from the experimental solubility. Empirical equations based on the simple error minimization using non-linear regression method which do not require complex physiochemical properties was also found suitable to predict the solubility at different extraction conditions. Jouyban et al. model showed very less deviation (2.25 %) for predicted solubility values from the experiment.

Entities:  

Keywords:  Empirical models; Equation of state; Mango ginger; Solubility; Supercritical CO2

Year:  2014        PMID: 26344969      PMCID: PMC4554676          DOI: 10.1007/s13197-014-1667-1

Source DB:  PubMed          Journal:  J Food Sci Technol        ISSN: 0022-1155            Impact factor:   2.701


  2 in total

1.  Mango ginger (Curcuma amada Roxb.)--a promising spice for phytochemicals and biological activities.

Authors:  R S Policegoudra; S M Aradhya; L Singh
Journal:  J Biosci       Date:  2011-09       Impact factor: 1.826

2.  Hot air drying characteristics of mango ginger: Prediction of drying kinetics by mathematical modeling and artificial neural network.

Authors:  Thirupathihalli Pandurangappa Krishna Murthy; Balaraman Manohar
Journal:  J Food Sci Technol       Date:  2013-02-05       Impact factor: 2.701

  2 in total
  1 in total

1.  In silico approach towards the identification of potential inhibitors from Curcuma amada Roxb against H. pylori: ADMET screening and molecular docking studies.

Authors:  G Divyashri; T P Krishna Murthy; Subramaniam Sundareshan; Pavan Kamath; Manikanta Murahari; G R Saraswathy; Bindu Sadanandan
Journal:  Bioimpacts       Date:  2020-03-24
  1 in total

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