Sensitivity Analysis and Uncertainty Quantification of Nanoparticle Deposition from Tongue Morphological Variations
The human tongue has highly variable morphology. Its role in regulating respiratory flows and deposition of inhaled aerosols remains unclear. The objective of this study was to quantify the uncertainty of nanoparticle deposition from the variability in tongue shapes and positions and to rank the imp...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-03-01
|
| Series: | Life |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2075-1729/14/3/406 |
| _version_ | 1827305750692626432 |
|---|---|
| author | Tiancheng Yang Xiuhua Si Jinxiang Xi |
| author_facet | Tiancheng Yang Xiuhua Si Jinxiang Xi |
| author_sort | Tiancheng Yang |
| collection | DOAJ |
| description | The human tongue has highly variable morphology. Its role in regulating respiratory flows and deposition of inhaled aerosols remains unclear. The objective of this study was to quantify the uncertainty of nanoparticle deposition from the variability in tongue shapes and positions and to rank the importance of these morphological factors. Oropharyngeal models with different tongue postures were reconstructed by modifying an existent anatomically accurate upper airway geometry. An LRN k-ω model was applied to solve the multiregime flows, and the Lagrangian tracking approach with near-wall treatment was used to simulate the behavior and fate of inhaled aerosols. Once the database of deposition rates was completed, a surrogate model was trained using Gaussian process regression with polynomial kernels and was validated by comparing its predictions to new CFD simulations. Input sensitivity analysis and output updateability quantification were then performed using the surrogate model. Results show that particle size is the most significant parameter in determining nanoparticle deposition in the upper airway. Among the morphological factors, the shape variations in the central tongue had a higher impact on the total deposition than those in the back tongue and glottal aperture. When considering subregional deposition, mixed sensitivity levels were observed among morphological factors, with the back tongue being the major factor for throat deposition and the central tongue for oral deposition. Interaction effects between flow rate and morphological factors were much higher than the effects from individual parameters and were most significant in the throat (pharyngolaryngeal region). Given input normal variances, the nanoparticle deposition exhibits logarithmical normal distributions, with much lower uncertainty in 100-nm than 2-nm aerosols. |
| first_indexed | 2024-04-24T18:04:22Z |
| format | Article |
| id | doaj.art-006d7a3be4874952b368366ce20dd377 |
| institution | Directory Open Access Journal |
| issn | 2075-1729 |
| language | English |
| last_indexed | 2024-04-24T18:04:22Z |
| publishDate | 2024-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Life |
| spelling | doaj.art-006d7a3be4874952b368366ce20dd3772024-03-27T13:51:22ZengMDPI AGLife2075-17292024-03-0114340610.3390/life14030406Sensitivity Analysis and Uncertainty Quantification of Nanoparticle Deposition from Tongue Morphological VariationsTiancheng Yang0Xiuhua Si1Jinxiang Xi2Department of Mechanical Engineering, Northwestern University, Evanston, IL 60208, USADepartment of Aerospace, Industrial and Mechanical Engineering, California Baptist University, Riverside, CA 92504, USADepartment of Biomedical Engineering, University of Massachusetts, Lowell, MA 01854, USAThe human tongue has highly variable morphology. Its role in regulating respiratory flows and deposition of inhaled aerosols remains unclear. The objective of this study was to quantify the uncertainty of nanoparticle deposition from the variability in tongue shapes and positions and to rank the importance of these morphological factors. Oropharyngeal models with different tongue postures were reconstructed by modifying an existent anatomically accurate upper airway geometry. An LRN k-ω model was applied to solve the multiregime flows, and the Lagrangian tracking approach with near-wall treatment was used to simulate the behavior and fate of inhaled aerosols. Once the database of deposition rates was completed, a surrogate model was trained using Gaussian process regression with polynomial kernels and was validated by comparing its predictions to new CFD simulations. Input sensitivity analysis and output updateability quantification were then performed using the surrogate model. Results show that particle size is the most significant parameter in determining nanoparticle deposition in the upper airway. Among the morphological factors, the shape variations in the central tongue had a higher impact on the total deposition than those in the back tongue and glottal aperture. When considering subregional deposition, mixed sensitivity levels were observed among morphological factors, with the back tongue being the major factor for throat deposition and the central tongue for oral deposition. Interaction effects between flow rate and morphological factors were much higher than the effects from individual parameters and were most significant in the throat (pharyngolaryngeal region). Given input normal variances, the nanoparticle deposition exhibits logarithmical normal distributions, with much lower uncertainty in 100-nm than 2-nm aerosols.https://www.mdpi.com/2075-1729/14/3/406tongue postureorally inhaled drug productspulmonary drug deliverysurrogate modelsensitivity analysisuncertainty quantification |
| spellingShingle | Tiancheng Yang Xiuhua Si Jinxiang Xi Sensitivity Analysis and Uncertainty Quantification of Nanoparticle Deposition from Tongue Morphological Variations Life tongue posture orally inhaled drug products pulmonary drug delivery surrogate model sensitivity analysis uncertainty quantification |
| title | Sensitivity Analysis and Uncertainty Quantification of Nanoparticle Deposition from Tongue Morphological Variations |
| title_full | Sensitivity Analysis and Uncertainty Quantification of Nanoparticle Deposition from Tongue Morphological Variations |
| title_fullStr | Sensitivity Analysis and Uncertainty Quantification of Nanoparticle Deposition from Tongue Morphological Variations |
| title_full_unstemmed | Sensitivity Analysis and Uncertainty Quantification of Nanoparticle Deposition from Tongue Morphological Variations |
| title_short | Sensitivity Analysis and Uncertainty Quantification of Nanoparticle Deposition from Tongue Morphological Variations |
| title_sort | sensitivity analysis and uncertainty quantification of nanoparticle deposition from tongue morphological variations |
| topic | tongue posture orally inhaled drug products pulmonary drug delivery surrogate model sensitivity analysis uncertainty quantification |
| url | https://www.mdpi.com/2075-1729/14/3/406 |
| work_keys_str_mv | AT tianchengyang sensitivityanalysisanduncertaintyquantificationofnanoparticledepositionfromtonguemorphologicalvariations AT xiuhuasi sensitivityanalysisanduncertaintyquantificationofnanoparticledepositionfromtonguemorphologicalvariations AT jinxiangxi sensitivityanalysisanduncertaintyquantificationofnanoparticledepositionfromtonguemorphologicalvariations |