The Experts below are selected from a list of 6 Experts worldwide ranked by ideXlab platform

Alírio E. Rodrigues - One of the best experts on this subject based on the ideXlab platform.

  • Modeling Fragrance Components Release from a Simplified Matrix Used in Toiletries and Household Products
    'American Chemical Society (ACS)', 2015
    Co-Authors: Patrícia Costa, Miguel A. Teixeira, Yohan Lièvre, José Miguel Loureiro, Alírio E. Rodrigues
    Abstract:

    A new methodology based on Henrys Law is proposed for modeling the release of fragrances from a simplified matrix commonly used in consumer products formulations. For that purpose, different mixtures were formulated containing one, two, three, or four fragrance ingredients diluted in dipropylene glycol (simplified matrix). Headspace concentrations were measured to estimate Henrys constants (H) for each fragrance component in all mixtures. The individual Henrys constants for multicomponent fragrance mixtures were also predicted from the ones measured for each single compound diluted in the matrix. Furthermore, we used a model that combines the UNIFAC group-contribution method with the modified Raoults Law and the psychophysicals Stevens power Law and strongest component model to predict the perceived odor intensity and character, respectively. Results showed a strong linear relationship between experimental H for single fragrances and experimental H for binary (r(2) = 0.998), ternary (r(2) = 0.997), and quaternary (r(2) = 0.996) fragrance mixtures. This new approach can bring a relevant advantage to the preformulation process by reducing time and cost associated with trial-and-error experiments

Patrícia Costa - One of the best experts on this subject based on the ideXlab platform.

  • Modeling Fragrance Components Release from a Simplified Matrix Used in Toiletries and Household Products
    'American Chemical Society (ACS)', 2015
    Co-Authors: Patrícia Costa, Miguel A. Teixeira, Yohan Lièvre, José Miguel Loureiro, Alírio E. Rodrigues
    Abstract:

    A new methodology based on Henrys Law is proposed for modeling the release of fragrances from a simplified matrix commonly used in consumer products formulations. For that purpose, different mixtures were formulated containing one, two, three, or four fragrance ingredients diluted in dipropylene glycol (simplified matrix). Headspace concentrations were measured to estimate Henrys constants (H) for each fragrance component in all mixtures. The individual Henrys constants for multicomponent fragrance mixtures were also predicted from the ones measured for each single compound diluted in the matrix. Furthermore, we used a model that combines the UNIFAC group-contribution method with the modified Raoults Law and the psychophysicals Stevens power Law and strongest component model to predict the perceived odor intensity and character, respectively. Results showed a strong linear relationship between experimental H for single fragrances and experimental H for binary (r(2) = 0.998), ternary (r(2) = 0.997), and quaternary (r(2) = 0.996) fragrance mixtures. This new approach can bring a relevant advantage to the preformulation process by reducing time and cost associated with trial-and-error experiments

Miguel A. Teixeira - One of the best experts on this subject based on the ideXlab platform.

  • Modeling Fragrance Components Release from a Simplified Matrix Used in Toiletries and Household Products
    'American Chemical Society (ACS)', 2015
    Co-Authors: Patrícia Costa, Miguel A. Teixeira, Yohan Lièvre, José Miguel Loureiro, Alírio E. Rodrigues
    Abstract:

    A new methodology based on Henrys Law is proposed for modeling the release of fragrances from a simplified matrix commonly used in consumer products formulations. For that purpose, different mixtures were formulated containing one, two, three, or four fragrance ingredients diluted in dipropylene glycol (simplified matrix). Headspace concentrations were measured to estimate Henrys constants (H) for each fragrance component in all mixtures. The individual Henrys constants for multicomponent fragrance mixtures were also predicted from the ones measured for each single compound diluted in the matrix. Furthermore, we used a model that combines the UNIFAC group-contribution method with the modified Raoults Law and the psychophysicals Stevens power Law and strongest component model to predict the perceived odor intensity and character, respectively. Results showed a strong linear relationship between experimental H for single fragrances and experimental H for binary (r(2) = 0.998), ternary (r(2) = 0.997), and quaternary (r(2) = 0.996) fragrance mixtures. This new approach can bring a relevant advantage to the preformulation process by reducing time and cost associated with trial-and-error experiments

Yohan Lièvre - One of the best experts on this subject based on the ideXlab platform.

  • Modeling Fragrance Components Release from a Simplified Matrix Used in Toiletries and Household Products
    'American Chemical Society (ACS)', 2015
    Co-Authors: Patrícia Costa, Miguel A. Teixeira, Yohan Lièvre, José Miguel Loureiro, Alírio E. Rodrigues
    Abstract:

    A new methodology based on Henrys Law is proposed for modeling the release of fragrances from a simplified matrix commonly used in consumer products formulations. For that purpose, different mixtures were formulated containing one, two, three, or four fragrance ingredients diluted in dipropylene glycol (simplified matrix). Headspace concentrations were measured to estimate Henrys constants (H) for each fragrance component in all mixtures. The individual Henrys constants for multicomponent fragrance mixtures were also predicted from the ones measured for each single compound diluted in the matrix. Furthermore, we used a model that combines the UNIFAC group-contribution method with the modified Raoults Law and the psychophysicals Stevens power Law and strongest component model to predict the perceived odor intensity and character, respectively. Results showed a strong linear relationship between experimental H for single fragrances and experimental H for binary (r(2) = 0.998), ternary (r(2) = 0.997), and quaternary (r(2) = 0.996) fragrance mixtures. This new approach can bring a relevant advantage to the preformulation process by reducing time and cost associated with trial-and-error experiments

José Miguel Loureiro - One of the best experts on this subject based on the ideXlab platform.

  • Modeling Fragrance Components Release from a Simplified Matrix Used in Toiletries and Household Products
    'American Chemical Society (ACS)', 2015
    Co-Authors: Patrícia Costa, Miguel A. Teixeira, Yohan Lièvre, José Miguel Loureiro, Alírio E. Rodrigues
    Abstract:

    A new methodology based on Henrys Law is proposed for modeling the release of fragrances from a simplified matrix commonly used in consumer products formulations. For that purpose, different mixtures were formulated containing one, two, three, or four fragrance ingredients diluted in dipropylene glycol (simplified matrix). Headspace concentrations were measured to estimate Henrys constants (H) for each fragrance component in all mixtures. The individual Henrys constants for multicomponent fragrance mixtures were also predicted from the ones measured for each single compound diluted in the matrix. Furthermore, we used a model that combines the UNIFAC group-contribution method with the modified Raoults Law and the psychophysicals Stevens power Law and strongest component model to predict the perceived odor intensity and character, respectively. Results showed a strong linear relationship between experimental H for single fragrances and experimental H for binary (r(2) = 0.998), ternary (r(2) = 0.997), and quaternary (r(2) = 0.996) fragrance mixtures. This new approach can bring a relevant advantage to the preformulation process by reducing time and cost associated with trial-and-error experiments