Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Video

Updated: Apr 26, 2026

Multifractal Spectrum Analysis for Assessing Pulmonary Nodule Malignancy
05:24

Multifractal Spectrum Analysis for Assessing Pulmonary Nodule Malignancy

Published on: January 10, 2025

1.0K

Exhaled aerosol pattern discloses lung structural abnormality: a sensitivity study using computational modeling and

Jinxiang Xi1, Xiuhua A Si2, JongWon Kim1

  • 1School of Engineering and Technology, Central Michigan University, Mount Pleasant, Michigan, United States of America.

Plos One
|August 9, 2014
PubMed
Summary

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Preclinical development of engineered biomaterial-based artificial bladder demonstrating core functions in a large-animal orthotopic model.

Materials today. Bio·2026
Same author

Korean red ginseng complex accelerates alcohol metabolism and relieves hangover symptoms in Humans: A randomized, double-blind, placebo-controlled crossover clinical trial.

Journal of ginseng research·2026
Same author

Team Switching in Peer-Based Learning Groups: Academic Performance and Medical Student Perspectives.

Medical science educator·2026
Same author

Experimentally Informed Numerical Simulations of Spray Deposition and Runoff Doses in a 10-Day-Old Nose Model.

Pharmaceuticals (Basel, Switzerland)·2026
Same author

An in vitro parametric study of maxillary sinus ventilation using transparent 3D-printed sinonasal models.

Clinical biomechanics (Bristol, Avon)·2026
Same author

Towards Safer Water: A Low-Cost Disposable Electrochemical Sensor for Bisphenol A Using La<sub>2</sub>Sn<sub>2</sub>O<sub>7</sub> Nanostructures.

Global challenges (Hoboken, NJ)·2026

Exhaled aerosol patterns, or aerosol fingerprints, can non-invasively detect lung diseases. Fractal analysis of these patterns reveals distinct disease signatures, aiding in diagnosis and prognosis of respiratory conditions.

Area of Science:

  • Pulmonary medicine and biomedical engineering
  • Computational fluid dynamics and aerosol science

Background:

  • Exhaled aerosol patterns (aerosol fingerprints) offer insights into lung health and disease.
  • Decoding these patterns can non-invasively identify respiratory diseases by revealing modified airway structures.

Purpose of the Study:

  • To develop and apply a computational fluid dynamics (CFD)-fractal analysis method for quantifying exhaled aerosol fingerprints.
  • To distinguish between benign and malignant lung conditions, including tracheal tumors, bronchial tumors, and asthma, using these fingerprints.

Main Methods:

  • Simulated respirations of 1 µm tracer aerosols at 30 L/min flow rate.
  • Employed large eddy simulations and Lagrangian tracking for airflow and aerosol dynamics.
  • Applied aerosol morphometric measures including concentration disparity, spatial distributions, and fractal analysis.

More Related Videos

Modeling Dysplastic and Functional Lung Alveolar Repair after Influenza Infection
07:45

Modeling Dysplastic and Functional Lung Alveolar Repair after Influenza Infection

Published on: September 19, 2025

647
Evaluating Regional Pulmonary Deposition using Patient-Specific 3D Printed Lung Models
07:56

Evaluating Regional Pulmonary Deposition using Patient-Specific 3D Printed Lung Models

Published on: November 11, 2020

3.4K

Related Experiment Videos

Last Updated: Apr 26, 2026

Multifractal Spectrum Analysis for Assessing Pulmonary Nodule Malignancy
05:24

Multifractal Spectrum Analysis for Assessing Pulmonary Nodule Malignancy

Published on: January 10, 2025

1.0K
Modeling Dysplastic and Functional Lung Alveolar Repair after Influenza Infection
07:45

Modeling Dysplastic and Functional Lung Alveolar Repair after Influenza Infection

Published on: September 19, 2025

647
Evaluating Regional Pulmonary Deposition using Patient-Specific 3D Printed Lung Models
07:56

Evaluating Regional Pulmonary Deposition using Patient-Specific 3D Printed Lung Models

Published on: November 11, 2020

3.4K

Main Results:

  • Demonstrated significant differences in exhaled aerosol distributions between normal and pathological airways.
  • Confirmed fractal behavior in exhaled aerosol patterns, with distinct parameters like fractal dimension and lacunarity for each condition.
  • Established a correlation between diseased location (asthma) and exhaled aerosol spatial distribution.

Conclusions:

  • Aerosol-fingerprint-based breath tests provide valuable information on the location and severity of lung diseases.
  • These tests show potential as a practical tool for diagnosing and determining the prognosis of respiratory diseases with structural abnormalities.