Paper Number
PO105 

Session
Poster Session

Title
Rheological and parametric analysis of the effects of aspirin on human blood

Presentation Date and Time
October 23, 2019 (Wednesday) 6:30

Track / Room
Poster Session / Ballroom C on 4th floor

Authors (Click on name to view author profile)

  1. Pulles, Wes (United States Military Academy, Chemistry and Life Science)
  2. Rook, Katleyn (United States Military Academy, Chemistry and Life Science)
  3. Armstrong, Matthew J. (United States Military Academy)
  4. Horner, Jeffrey S. (University of Delaware, Chemical and Biomolecular Engineering)

Author and Affiliation Lines (in printed abstract book)
Wes Pulles1, Katleyn Rook1, Matthew J. Armstrong1, and Jeffrey S. Horner2
1Chemistry and Life Science, United States Military Academy, west point, NY 10996; 2Chemical and Biomolecular Engineering, University of Delaware, Newark, DE 19716

Speaker / Presenter 
Pulles, Wes

Text of Abstract
Recent work modeling the rheological behavior of human blood indicates that blood has all of the hallmark features of a complex material, including shear-thinning, viscoelastic behavior, a yield stress and thixotropy. After decades of modeling steady state blood data, and the development of steady state models, like the Casson, Carreau-Yasuda, Herschel-Bulkley, etc. the advancement and evolution of blood modeling to transient flow conditions now has a renewed interest. Using recently collected steady state, triangle ramp, and oscillatory shear rheological data om human blood before and after a low dose, two week aspirin protocol we examine effect of the aspirin. The effect of the aspirin on the rheological properties will be analyzed directly, with mechanical contour maps, and via parametric analysis using two contemporary rheological models. The models used for analysis will be the modified Horner-Armstrong-Wagner-Beris (mHAWB), and a version of the viscoelastic Modified Delaware Thixotropic Model (MDTM). We will then use the best fit rheological model parameters from the mHAWB and VE-MDTM fits to compare with physiological blood parameters such as hematocrit, glucose, triglycerides, LDL and HDL, and analyze the effect of the aspirin on the rheological model parameters. To meet this end we will incorporate the correlation matrix, looking for statistically significant correlations by interpretation of the correlation coefficients and associated p-values. Lastly we will graphically show the most meaningful correlations and compare to similar work from literature. To fit the rheological data to the models a stochastic, global optimization algorithm is used.