Search research articles
Contact Us
Filters
Showing results (1-10 of 37) with videos related to
Page
of 4
Sort By:
Journal of Hazardous Materials
|
September 23, 2008
Estimation of toxicity of ionic liquids in Leukemia Rat Cell Line and Acetylcholinesterase enzyme by principal component analysis, neural networks and multiple lineal regressions
José S Torrecilla, Julián García, Ester Rojo, et al.
Analytica Chimica Acta
|
February 22, 2011
Application of lag-k autocorrelation coefficient and the TGA signals approach to detecting and quantifying adulterations of extra virgin olive oil with inferior edible oils
José S Torrecilla, Julián García, Silvia García, et al.
Talanta
|
May 6, 2010
Ionic liquids: determination of their aqueous content using differential scanning calorimeter equipment, chaotic parameters and a radial basis network model
José S Torrecilla, Ester Rojo, Juan C Domínguez, et al.
Talanta
|
November 30, 2010
Linear and non linear chemometric models to quantify the adulteration of extra virgin olive oil
José S Torrecilla, Ester Rojo, Juan C Domínguez, et al.
Talanta
|
July 7, 2009
Chaotic parameters and their role in quantifying noise in the output signals from UV, TGA and DSC apparatus
José S Torrecilla, Ester Rojo, Juan C Domínguez, et al.
Journal of Agricultural and Food Chemistry
|
January 15, 2010
A novel method to quantify the adulteration of extra virgin olive oil with low-grade olive oils by UV-vis
José S Torrecilla, Ester Rojo, Juan C Domínguez, et al.
Physical Chemistry Chemical Physics : PCCP
|
August 15, 2008
Estimation of ternary liquid-liquid equilibria for arene/alkane/ionic liquid mixtures using neural networks
José S Torrecilla, Maggel Deetlefs, Kenneth R Seddon, et al.
Physical Chemistry Chemical Physics : PCCP
|
February 23, 2016
Neural networks applied to determine the thermophysical properties of amino acid based ionic liquids
John C Cancilla, Ana Perez, Kacper Wierzchoś, et al.
Journal of Agricultural and Food Chemistry
|
June 2, 2015
Identifying and Quantifying Adulterants in Extra Virgin Olive Oil of the Picual Varietal by Absorption Spectroscopy and Nonlinear Modeling
Regina Aroca-Santos, John C Cancilla, Gemma Matute, et al.
Talanta
|
May 28, 2013
Estimation with neural networks of the water content in imidazolium-based ionic liquids using their experimental density and viscosity values
José S Torrecilla, César Tortuero, John C Cancilla, et al.
Page
of 4
Search research articles
Search
Showing results (1-10 of 37) with videos related to
Sort By:
Page
of 4
Journal of Hazardous Materials
|
September 23, 2008
Estimation of toxicity of ionic liquids in Leukemia Rat Cell Line and Acetylcholinesterase enzyme by principal component analysis, neural networks and multiple lineal regressions
José S Torrecilla, Julián García, Ester Rojo, et al.
Analytica Chimica Acta
|
February 22, 2011
Application of lag-k autocorrelation coefficient and the TGA signals approach to detecting and quantifying adulterations of extra virgin olive oil with inferior edible oils
José S Torrecilla, Julián García, Silvia García, et al.
Talanta
|
May 6, 2010
Ionic liquids: determination of their aqueous content using differential scanning calorimeter equipment, chaotic parameters and a radial basis network model
José S Torrecilla, Ester Rojo, Juan C Domínguez, et al.
Talanta
|
November 30, 2010
Linear and non linear chemometric models to quantify the adulteration of extra virgin olive oil
José S Torrecilla, Ester Rojo, Juan C Domínguez, et al.
Talanta
|
July 7, 2009
Chaotic parameters and their role in quantifying noise in the output signals from UV, TGA and DSC apparatus
José S Torrecilla, Ester Rojo, Juan C Domínguez, et al.
Journal of Agricultural and Food Chemistry
|
January 15, 2010
A novel method to quantify the adulteration of extra virgin olive oil with low-grade olive oils by UV-vis
José S Torrecilla, Ester Rojo, Juan C Domínguez, et al.
Physical Chemistry Chemical Physics : PCCP
|
August 15, 2008
Estimation of ternary liquid-liquid equilibria for arene/alkane/ionic liquid mixtures using neural networks
José S Torrecilla, Maggel Deetlefs, Kenneth R Seddon, et al.
Physical Chemistry Chemical Physics : PCCP
|
February 23, 2016
Neural networks applied to determine the thermophysical properties of amino acid based ionic liquids
John C Cancilla, Ana Perez, Kacper Wierzchoś, et al.
Journal of Agricultural and Food Chemistry
|
June 2, 2015
Identifying and Quantifying Adulterants in Extra Virgin Olive Oil of the Picual Varietal by Absorption Spectroscopy and Nonlinear Modeling
Regina Aroca-Santos, John C Cancilla, Gemma Matute, et al.
Talanta
|
May 28, 2013
Estimation with neural networks of the water content in imidazolium-based ionic liquids using their experimental density and viscosity values
José S Torrecilla, César Tortuero, John C Cancilla, et al.
Page
of 4