Non-linear models applied to experimental spectroscopical quantitative analysis of aqueous ternary mixtures of imidazolium and pyridinium-based ionic liquids

Sensors and Actuators, B: Chemical

Volumn 206, Issue , 2015, Pages 139-145

  Díaz Rodríguez, Pablo ^a   Cancilla, John C ^a   Wierzchos̈, Kacper ^a   Torrecilla, José S ^a  

^a UNIVERSIDAD COMPLUTENSE DE MADRID   (Spain)

Author keywords

Artificial neural network; Independent variable; Ionic liquid; UV vis absorption

Indexed keywords

CHLORINE COMPOUNDS; ESTIMATION; MATHEMATICAL MODELS; NEURAL NETWORKS; WATER ABSORPTION;

CONCENTRATION ESTIMATIONS; IMIDAZOLIUM; INDEPENDENT VARIABLES; IONIC LIQUID (ILS); NON-LINEAR MODEL; PREDICTION ERRORS; TERNARY MIXTURES; UV-VIS ABSORPTIONS;

IONIC LIQUIDS;

EID: 84907894130     PISSN: 09254005     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.snb.2014.09.037     Document Type: Article

References (26)

1. D.R. MacFarlane, and K.R. Seddon Ionic liquids - progress on the fundamental issues Aust. J. Chem. 60 2007 3 5
2. R.D. Rogers, and K.R. Seddon Ionic liquids - solvents of the future? Science 302 2003 792
3. J. Garcia, S. Garcia, J.S. Torrecilla, and F. Rodriguez N-butylpyridinium bis-(trifluoromethylsulfonyl)imide ionic liquids as solvents for the liquid-liquid extraction of aromatics from their mixtures with alkanes: isomeric effect of the cation Fluid Phase Equilib. 301 2011 62 66
4. K.R. Seddon, A. Stark, and M.J. Torres Influence of chloride, water, and organic solvents on the physical properties of ionic liquids Pure Appl. Chem. 72 2000 2275 2287
5. N.V. Plechkova, and K.R. Seddon Applications of ionic liquids in the chemical industry Chem. Soc. Rev. 37 2008 123 150
6. M.A. Taige, D. Hilbert, and T.J.S. Schubert Mixtures of ionic liquids as possible electrolytes for lithium ion batteries Z. Phys. Chem. 226 2012 129 139
7. M. Cvjetko, K. Radosevic, A. Tomica, I. Slivac, J. Vorkapic-Furac, and V. Gaurina-Srcek Cytotoxic effects of imidazolium ionic liquids on fish and human cell lines Arch. Ind. Hyg. Toxicol. 63 2012 15 20
8. M.C. Bubalo, K. Radošević, I.R. Redovniković, J. Halambek, and V. GaurinaSrček A brief overview of the potential environmental hazards of ionic liquids Ecotoxicol. Environ. Saf. 99 2014 1 12
9. J. Jodynis-Liebert, M. Nowicki, M. Murias, T. Adamska, M. Ewertowska, M. Kujawska, H. Piotrowska, A. Konwerska, D. Ostalska-Nowicka, and J. Pernak Cytotoxicity, acute and subchronic toxicity of ionic liquid, didecyldimethylammonium saccharinate, in rats Regul. Toxicol. Pharmacol. 57 2010 266 273
10. A. Stoppa, R. Buchner, and G. Hefter How ideal are binary mixtures of room-temperature ionic liquids J. Mol. Liq. 153 2010 46 51
11. N. Calvar, I. Domínguez, E. Gómez, J. Palomar, and Á. Domínguez Evaluation of ionic liquids as solvent for aromatic extraction: experimental, correlation and COSMO-RS predictions J. Chem. Thermodyn. 67 2013 5 12
12. M. Bendová, Z. Sedláková, A. Andresová, and Z. Wagner Using partial least-squares regression in multivariate UV spectroscopic analysis of mixtures of imidazolium-based ionic liquids and 1-methylimidazole for measurements of liquid-liquid equilibria J. Solut. Chem. 41 2012 2164 2172
13. P. Díaz-Rodríguez, J.C. Cancilla, N.V. Plechkova, G. Matute, K.R. Seddon, and J.S. Torrecilla Estimation of the refractive indices of imidazolium-based ionic liquids using their polarisability values Phys. Chem. Chem. Phys. 16 2013 128 134
14. J.C. Cancilla, J.S. Torrecilla, and G. Matute Current applications of artificial neural networks in biochemistry with emphasis on cancer research Curr. Biochem. Eng. 1 2014 25 34
15. C. Iglesias, J. Martínez Torres, P.J. García Nieto, J.R. Alonso Fernández, C. Díaz Muñiz, J.I. Piñeiro, and J. Taboada Turbidity prediction in a river basin by using artificial neural networks: a case study in Northern Spain Water Resour. Manage 28 2014 319 331
16. J.S. Torrecilla, M.L. Mena, P. Yanez-Sedeño, and J. Garcia Application of artificial neural network to the determination of phenolic compounds in olive oil mill wastewater J. Food Eng. 81 2007 544 552
17. J.S. Torrecilla, F. Rodriguez, J.L. Bravo, G. Rothenberg, K.R. Seddon, and I. Lopez-Martin Optimising an artificial neural network for predicting the melting point of ionic liquids Phys. Chem. Chem. Phys. 10 2008 5826 5831
18. J.S. Torrecilla, T. Rafione, J. García, and F. Rodríguez Effect of relative humidity of air on density, apparent molar volume, viscosity, surface tension, and water content of 1-ethyl-3-methylimidazolium ethylsulfate ionic liquid J. Chem. Eng. Data 53 2008 923 928
19. P. Díaz-Rodríguez, J.C. Cancilla, G. Matute, and J.S. Torrecilla Determination of physicochemical properties of pyridinium-based ionic liquid binary mixtures with a common component through neural networks Ind. Eng. Chem. Res. 53 2014 1015 1019
20. J.A. Lee, and M. Verleysen Nonlinear Dimensionality Reduction 2007 Springer Science + Business Media, LLC ISBN-13: 978-0-387-39350-6
21. K. Knoerzer, P. Juliano, P. Roupas, and C. Versteeg Innovative Food Processing Technologies: Advances in Multiphysics Simulation 2011 Wiley-Blackwell Oxford, UK
22. J.S. Torrecilla, C. Tortuero, J.C. Cancilla, and P. Díaz-Rodríguez Neural networks to estimate the water content of imidazolium-based ionic liquids using their refractive indices Talanta 116 2013 122 126
23. H. Demuth, M. Beale, and M. Hagan Neural Network Toolbox for Use with MATLAB® User's Guide. Version 5. Ninth Printing Revised for Version 5.1 (Release 2007) 2007 (online only)
24. 8 process Chem. Eng. J. 170 2011 29 35
25. 3 for cellulosic material conversion to sugar Bioresour. Technol. 148 2013 47 52
26. A.A. Oliferenko, P.V. Oliferenko, J.S. Torrecilla, and A.R. Katritzkya Rebuttal to comments on boiling points of ternary azeotropic mixtures modeled with the use of universal solvation equation and neural networks Ind. Eng. Chem. Res. 52 2013 545 546