Optimization of protein recovery from bovine lung by pH shift process using response surface methodology

Area of Science:

• Biochemistry and Food Science
• Biotechnology and Bioprocessing

Background:

• Bovine lung is a potential source for protein recovery.
• Optimizing protein extraction requires careful control of solubilization and precipitation conditions.

Purpose of the Study:

• To optimize protein solubilization and precipitation from bovine lung using response surface methodology (RSM).
• To determine optimal conditions for maximizing protein yield and recovery.

Main Methods:

• Response surface methodology (RSM) with D-optimal designs was employed sequentially for optimization.
• Investigated variables included time, temperature, pH, and solvent/sample ratio for solubilization, and time and pH for precipitation.

Main Results:

• High protein yields were achieved, with soluble protein yields ranging from 323 to 649 g kg⁻¹.
• Optimal conditions for solubilization were determined as 140 min, 19 °C, pH 10.8, and a solvent/sample ratio of 13.02.
• Optimal conditions for precipitation were pH 5.03 and 60 min, yielding 407 to 667 g kg⁻¹.

Conclusions:

• RSM models for solubilization and precipitation were validated, showing good agreement between predicted and actual yields.
• The optimized methods demonstrate cross-species applicability, validated with porcine lung tissue.
• The study successfully optimized protein recovery under reduced water and alkaline usage.