Graduation Year

2022

Document Type

Dissertation

Degree

Ph.D.

Degree Name

Doctor of Philosophy (Ph.D.)

Degree Granting Department

Chemical Engineering

Major Professor

Aydin K. Sunol, Ph.D.

Committee Member

George Philippidis, Ph.D.

Committee Member

Mark Jaroszeski, Ph.D.

Committee Member

Scott Campbell, Ph.D.

Committee Member

Rasim Guldiken, Ph.D.

Keywords

Computational Fluid Dynamics (CFD), High Pressure Warm Water, Natural Products, Process Intensification, Supercritical Fluids

Abstract

Technological advancements over the last century have allowed for advancements not only in science and engineering but medicine as well. The use of supercritical fluids for processing continues today after its initial boom in the latter part of the last century; often being paired with co-solvents to extend the range of use for this technique. Supercritical fluid extraction may be paired with pressurized warm water extraction to yield a new intensified process for biphasic extractions that improves efficiency and reduces waste. This combination may be used to replace sequential extraction processes or supercritical extraction processes that make use of organic co-solvents. Furthermore, the biphasic nature of the system may lead to improved extraction from solid matrices where one fluid with advantageous wetting conditions serves as an intermediate to a second fluid with poor wetting characteristics.Development of a first-principles mathematical model to describe the behavior of this intensified process is the first step in development of a real-world technology. This is achieved with a model comprised of partial differential equations describing the time-dependent concentration of solute across supercritical CO2 (SC-CO2), high pressure warm water (HPWW or PWW), and the solid phases. Appropriate thermophysical properties may be estimated with confidence for each phase via equations of state and correlations. Transport properties and mass transfer quantities for each individual phase are obtained via methods presented in literature. Utilization of this model will predict biphasic extraction performance across various solid-solute systems.

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