Introduction & Context

In the field of Process Engineering, Reverse Osmosis (RO) is a critical unit operation used for the concentration of liquid food products, such as apple juice. The process relies on a semi-permeable membrane that allows water to pass while retaining soluble solids. The efficiency of this separation is governed by the osmotic pressure of the solution, which acts as a counter-force to the applied hydraulic pressure.

This calculation is essential for determining the theoretical maximum concentration (measured in °Brix) that can be achieved before the osmotic pressure of the juice equals the applied hydraulic pressure. At this equilibrium point, the net driving force for water permeation becomes zero, effectively halting the concentration process. Understanding this limit is vital for sizing pumps, selecting appropriate membrane modules, and determining the transition point where RO concentration must be supplemented by thermal evaporation.

Methodology & Formulas

The calculation is based on the fundamental principle that the net flux through an RO membrane ceases when the applied hydraulic pressure is balanced by the osmotic pressure of the concentrated solute. Because fruit juices are non-ideal solutions, empirical correlations are utilized to relate the osmotic pressure to the concentration of soluble solids.

The governing relationship is defined by the equality of the applied pressure and the osmotic pressure:

\[ P_{\text{app}} = \Pi \]

Where the osmotic pressure is determined by an empirical linear correlation specific to the juice type and temperature:

\[ \Pi = k \cdot B \]

By substituting the empirical correlation into the equilibrium condition, we derive the formula for the maximum achievable concentration:

\[ B_{\text{max}} = \frac{P_{\text{app}}}{k} \]

Where:

  • \( B_{\text{max}} \) is the maximum soluble solids concentration (°Brix).
  • \( P_{\text{app}} \) is the applied hydraulic pressure (bar).
  • \( k \) is the empirical osmotic pressure coefficient (bar/°Brix).
Parameter Condition/Regime Constraint/Limit
Pressure Safety System Integrity \( P_{\text{app}} \leq P_{\text{rating}} \)
Empirical Validity Correlation Accuracy \( B_{\text{min}} \leq B_{\text{max}} \leq B_{\text{max,valid}} \)
Operational Feasibility Net Driving Force \( P_{\text{app}} > \Pi \) for positive flux