Radial diffusion model for fragrance materials: Prediction and validation
A predictive model based on Fick's second law for radial diffusion is proposed and validated for modeling the diffusion of fragrance materials. A pure component, two binary systems, and a ternary system were used for validation. The model combines the prediction model to represent the liquid ph...
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creator | Almeida, Rafael N. Rodrigues, Alírio E. Vargas, Rubem M. F. Cassel, Eduardo |
description | A predictive model based on Fick's second law for radial diffusion is proposed and validated for modeling the diffusion of fragrance materials. A pure component, two binary systems, and a ternary system were used for validation. The model combines the prediction model to represent the liquid phase nonidealities, using the UNIFAC group contribution method, with the Fickian radial diffusion approach. The experimental headspace concentrations were measured in a diffusion chamber using the solid‐phase microextraction technique and quantified using gas chromatography with a flame ionization detector. The numerical solutions were obtained along with an analytical model considering constant surface concentration. The odor intensities of the studied systems were calculated using Stevens' power law and the strongest component model, respectively. The numerical simulation presented good adherence to the experimental gas concentration data. The proposed methodology is an efficient and validated tool to assess the radial diffusion of fragrance and volatile systems. |
doi_str_mv | 10.1002/aic.17351 |
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The odor intensities of the studied systems were calculated using Stevens' power law and the strongest component model, respectively. The numerical simulation presented good adherence to the experimental gas concentration data. 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The odor intensities of the studied systems were calculated using Stevens' power law and the strongest component model, respectively. The numerical simulation presented good adherence to the experimental gas concentration data. The proposed methodology is an efficient and validated tool to assess the radial diffusion of fragrance and volatile systems.</description><subject>Binary systems</subject><subject>Diffusion</subject><subject>Diffusion chambers</subject><subject>evaporation</subject><subject>Fick's second law</subject><subject>Flame ionization detectors</subject><subject>Fragrances</subject><subject>Gas chromatography</subject><subject>Headspace</subject><subject>Ionization</subject><subject>Liquid phases</subject><subject>mathematical modeling</subject><subject>Mathematical models</subject><subject>Odors</subject><subject>perfume</subject><subject>Prediction models</subject><subject>Predictions</subject><subject>Ternary systems</subject><issn>0001-1541</issn><issn>1547-5905</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNp10E1LAzEQBuAgCtbqwX8Q8ORh28zspsl6K8WPQkERPYd8Ssp2t2Zbpf_e1PXqaZjhmRl4CbkGNgHGcKqjnYAoOZyQEfBKFLxm_JSMGGNQ5AGck4u-X-cOhcQRWb5qF3VDXQxh38eupZvO-YaGLtGQ9EfSrfV0o3c-Zdbf0ZfkXbS7o9Sto1-6iU4f20tyFrLwV391TN4f7t8WT8Xq-XG5mK8KizOEwnjhdKgZSOc4CCvrGrEUjoXKSeNqFBAqjwG4Mbq2Gks0KMvKalPNGJpyTG6Gu9vUfe59v1Prbp_a_FIhFyBLrCRmdTsom7q-Tz6obYobnQ4KmDompXJS6jepbKeD_Y6NP_wP1Xy5GDZ-ANyFab0</recordid><startdate>202110</startdate><enddate>202110</enddate><creator>Almeida, Rafael N.</creator><creator>Rodrigues, Alírio E.</creator><creator>Vargas, Rubem M. 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F.</creatorcontrib><creatorcontrib>Cassel, Eduardo</creatorcontrib><collection>CrossRef</collection><collection>Environment Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Environment Abstracts</collection><jtitle>AIChE journal</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Almeida, Rafael N.</au><au>Rodrigues, Alírio E.</au><au>Vargas, Rubem M. 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The numerical solutions were obtained along with an analytical model considering constant surface concentration. The odor intensities of the studied systems were calculated using Stevens' power law and the strongest component model, respectively. The numerical simulation presented good adherence to the experimental gas concentration data. The proposed methodology is an efficient and validated tool to assess the radial diffusion of fragrance and volatile systems.</abstract><cop>Hoboken, USA</cop><pub>John Wiley & Sons, Inc</pub><doi>10.1002/aic.17351</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0002-5792-5392</orcidid><orcidid>https://orcid.org/0000-0001-8843-0694</orcidid><orcidid>https://orcid.org/0000-0002-0715-4761</orcidid><orcidid>https://orcid.org/0000-0003-2696-8581</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Binary systems Diffusion Diffusion chambers evaporation Fick's second law Flame ionization detectors Fragrances Gas chromatography Headspace Ionization Liquid phases mathematical modeling Mathematical models Odors perfume Prediction models Predictions Ternary systems |
title | Radial diffusion model for fragrance materials: Prediction and validation |
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