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For: Vaz RV, Magalhães AL, Silva CM. Improved Stokes–Einstein based models for diffusivities in supercritical CO2. J Taiwan Inst Chem Eng 2014. [DOI: 10.1016/j.jtice.2013.12.005] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Number Cited by Other Article(s)
1
Mahajan P, Bera MB. Application of free volume concept and manipulation of network structure parameters for optimum loading of gallic acid in the modified kutki (Panicum sumatrense) millet starch hydrogel matrix. Food Hydrocoll 2023. [DOI: 10.1016/j.foodhyd.2022.108218] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
2
Binary Diffusion Coefficients for Short Chain Alcohols in Supercritical Carbon Dioxide-Experimental and Predictive Correlations. MOLECULES (BASEL, SWITZERLAND) 2023;28:molecules28020782. [PMID: 36677839 PMCID: PMC9865481 DOI: 10.3390/molecules28020782] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Revised: 01/10/2023] [Accepted: 01/10/2023] [Indexed: 01/15/2023]
3
FTIR as a Powerful Tool for Measurements of Diffusion in Supercritical Carbon Dioxide Using Taylor Dispersion Method. Processes (Basel) 2022. [DOI: 10.3390/pr10081528] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/04/2022]  Open
4
Diffusion of Ethanol in Supercritical Carbon Dioxide—Investigation of scCO2-Cosolvent Mixtures Used in Pharmaceutical Applications. Processes (Basel) 2022. [DOI: 10.3390/pr10040660] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/04/2022]  Open
5
Aniceto JP, Zêzere B, Silva CM. Machine learning models for the prediction of diffusivities in supercritical CO2 systems. J Mol Liq 2021. [DOI: 10.1016/j.molliq.2021.115281] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
6
Celebi AT, Jamali SH, Bardow A, Vlugt TJH, Moultos OA. Finite-size effects of diffusion coefficients computed from molecular dynamics: a review of what we have learned so far. MOLECULAR SIMULATION 2020. [DOI: 10.1080/08927022.2020.1810685] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
7
Leite J, Magalhães A, Valente A, Silva CM. Measurement and modelling of tracer diffusivities of gallic acid in liquid ethanol and in supercritical CO 2 modified with ethanol. J Supercrit Fluids 2018. [DOI: 10.1016/j.supflu.2017.09.004] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
8
Cordeiro J, Magalhães AL, Valente AA, Silva CM. Experimental and theoretical analysis of the diffusion behavior of chromium(III) acetylacetonate in supercritical CO 2. J Supercrit Fluids 2016. [DOI: 10.1016/j.supflu.2016.08.006] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
9
Method development in inverse modeling applied to supercritical fluid extraction of lipids. J Supercrit Fluids 2016. [DOI: 10.1016/j.supflu.2016.01.006] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
10
Vaz RV, Gomes JR, Silva CM. Molecular dynamics simulation of diffusion coefficients and structural properties of ketones in supercritical CO 2 at infinite dilution. J Supercrit Fluids 2016. [DOI: 10.1016/j.supflu.2015.07.025] [Citation(s) in RCA: 50] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
11
Measurement and modeling of tracer diffusivities of α-pinene in supercritical CO 2 , and analysis of their hydrodynamic and free-volume behaviors. J Supercrit Fluids 2016. [DOI: 10.1016/j.supflu.2015.07.033] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
12
Şen A, de Melo MM, Silvestre AJ, Pereira H, Silva CM. Prospective pathway for a green and enhanced friedelin production through supercritical fluid extraction of Quercus cerris cork. J Supercrit Fluids 2015. [DOI: 10.1016/j.supflu.2014.12.008] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
13
de Melo M, Silvestre A, Silva C. Supercritical fluid extraction of vegetable matrices: Applications, trends and future perspectives of a convincing green technology. J Supercrit Fluids 2014. [DOI: 10.1016/j.supflu.2014.04.007] [Citation(s) in RCA: 229] [Impact Index Per Article: 22.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
14
Vaz RV, Magalhães AL, Silva CM. Prediction of binary diffusion coefficients in supercritical CO2 with improved behavior near the critical point. J Supercrit Fluids 2014. [DOI: 10.1016/j.supflu.2014.03.011] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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