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A translucent amber oil droplet divided into many smaller spherical droplets in blue liquid beside a restrained cutaway high-shear rotor edge.

Reactors & equipment

Hydrodynamic Cavitation in Emulsification and Homogenization

Dr. Oleg V. Kozyuk

okozyuk.com

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2 Emulsion Fundamentals and Product Metrics

2.1 Emulsion classes and terminology

Oil in water (O/W) emulsions contain oil droplets in an aqueous continuous phase. Water in oil (W/O) emulsions contain water droplets in an oil phase. Multiple emulsions, such as W/O/W and O/W/O, contain droplets within droplets. Pickering emulsions are stabilized predominantly by solid particles adsorbed at the interface. The terms macroemulsion, miniemulsions, nanoemulsion, and microemulsion are used inconsistently across disciplines, so every technical specification should state the actual measurement method and size statistics rather than rely on a category name alone [1,2,10,11].

Table 1. Practical classification of liquid dispersion systems. Size boundaries are approximate and overlap among fields.

System Typical droplet scale Thermodynamic status Common preparation route Design implication
Coarse or macroemulsion 1 to 100 µm, sometimes larger Unstable at equilibrium; kinetically stabilized Agitated tank, static mixer, rotor stator Separation may be rapid unless viscosity or interfacial stabilization is sufficient
Miniemulsion or submicron emulsion 0.1 to 1 µm Kinetically stabilized High shear, high pressure homogenization, cavitation Requires rapid surface coverage and control of the coarse tail
Nanoemulsion Roughly 20 to 500 nm Kinetically stabilized High pressure homogenization, microfluidization, ultrasonication, cavitation, phase inversion Optical appearance, ripening, and surfactant demand become dominant
Microemulsion Commonly 10 to 100 nm Thermodynamically stable over a composition region Spontaneous self-assembly with high surfactant and often cosurfactant loading Formulation, not mechanical energy, is the controlling variable
Multiple emulsion Internal and external droplets may span submicron to tens of micrometres Kinetically stabilized and structurally complex Sequential emulsification Excessive second stage stress can destroy internal droplets
Pickering emulsion Broad range Kinetically stabilized by particles High shear plus particle wetting control Particle wettability and adsorption energy govern stability

2.2 Droplet size distribution and interfacial area

A single mean diameter cannot fully describe an emulsion. Number weighted measurements emphasize small droplets, while volume weighted and scattering based methods emphasize large droplets. The generalized moment mean diameter for discrete size classes is:

dpq=(∑inidip∑inidiq)1/(p−q)[1]

where ni is the number of droplets in class i and di is the representative diameter. The Sauter mean diameter, which preserves the volume to area ratio, is:

d32=∑inidi3∑inidi2[2]

The volume weighted mean diameter is:

d43=∑inidi4∑inidi3[3]

For spherical droplets, the interfacial area per unit emulsion volume is related directly to d32:

av=6ϕdd32[4]

where ϕd is the dispersed phase volume fraction. This equation explains why a modest reduction in diameter creates a large increase in surface area and surfactant demand. The breadth of a distribution is often summarized by the span:

Span=d90−d10d50[5]

where d10, d50, and d90 are cumulative percentile diameters. A process may reduce d32 while leaving an undesirable coarse tail. For quality control, the minimum reporting set should therefore include the measurement method, dilution protocol, basis of weighting, d32 or Z average, d90, span or polydispersity index, temperature, and the time between processing and analysis.

Table 2. Droplet size and distribution metrics used in emulsification studies.

Metric Physical meaning Strength Main limitation
d32 Diameter with the same volume to area ratio as the distribution Directly related to interfacial area and many breakup models Can conceal a coarse tail
d43 Volume weighted mean Sensitive to large droplets and useful for process failure detection Strongly affected by a small number of coarse droplets
d10, d50, d90 Cumulative distribution percentiles Describe distribution location and coarse fraction Depend on weighting basis and instrument model
Span Relative width from d10, d50, d90 Simple comparison of breadth Does not show multimodality
PDI Polydispersity index from dynamic light scattering Useful for submicron systems Not interchangeable with laser diffraction span
Z average Cumulants mean from dynamic light scattering Standard for many nanoemulsions Sensitive to dilution and scattering assumptions
Specific interfacial area Area per unit mass or volume Connects droplet size to mass transfer and surfactant demand Requires spherical droplet and composition assumptions

The reversible work required to create interface is the increase in interfacial free energy:

ΔGint=γΔA[6]

where γ is the interfacial tension. Mechanical equipment supplies far more energy than the thermodynamic minimum because most input is dissipated as bulk turbulence, heat, vibration, sound, viscous loss, and pump inefficiency. Interfacial area generated per unit energy is therefore a more revealing comparison metric than nominal power alone [2,12,13].

2.3 Stability mechanisms

Small droplets reduce gravitational separation, but they do not make an emulsion thermodynamically stable. In the dilute Stokes regime, the creaming or sedimentation velocity is approximated by

us=(ρc−ρd)gd218μc[7]

where ρc and ρd are continuous and dispersed phase densities, g is gravitational acceleration, and μc is continuous phase viscosity. The quadratic diameter dependence is a major reason that homogenization slows creaming. The equation becomes inaccurate in concentrated, non Newtonian, flocculated, or hindered settling systems.

Ostwald ripening can be summarized by a cubic radius growth law:

dr3dt=KOR[8]

where KOR depends on interfacial tension, solubility of the dispersed phase in the continuous phase, diffusivity, molar volume, temperature, and formulation. Hydrodynamic cavitation does not remove the need to control ripening, coalescence, or flocculation. It can even increase the driving force for instability by creating more interface. The resulting emulsion remains useful only when interfacial coverage, electrostatic or steric repulsion, continuous phase rheology, and storage conditions provide an adequate kinetic barrier [1,2,14].

Figure 3. Predictive hierarchy for cavitation assisted emulsification. Formulation and operating inputs determine the cavitation field and local stress distribution; breakup and stabilization models then predict the droplet size distribution and product properties
Figure 3. Predictive hierarchy for cavitation assisted emulsification. Formulation and operating inputs determine the cavitation field and local stress distribution; breakup and stabilization models then predict the droplet size distribution and product properties [9]

Figure 3. Predictive hierarchy for cavitation assisted emulsification. Formulation and operating inputs determine the cavitation field and local stress distribution; breakup and stabilization models then predict the droplet size distribution and product properties [9].

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