AI Article Synopsis

  • Response surface methodology (RSM) was utilized to optimize conditions for recovering protein from bovine lung through pH shifts, focusing on solubilization and precipitation processes.
  • The study found that optimal solubilization conditions included a 140-minute extraction time, 19 °C temperature, pH 10.8, and a solvent/sample ratio of 13.02, resulting in high protein yields and a strong statistical model fit (R = 0.9958).
  • The validated models demonstrated that the results for both solubilization and precipitation are applicable across different species, with good correlation between predicted and actual yields.

Article Abstract

Background: Response surface methodology (RSM) was used in a sequential manner to optimize solubilization and precipitation conditions in the recovery of protein from bovine lung using pH shift.

Results: Separate D-optimal designs were employed for protein solubilization and precipitation. Independent variables investigated for protein solubilization were time (10-120 min), temperature (4-20 °C), pH (8.0-11.0) and solvent/sample ratio (2.5-10). Variables for protein precipitation were time (0-60 min) and pH (4.25-6.00). Soluble protein yields ranged from 323 to 649 g kg and the quadratic model for protein solubilization revealed a coefficient of determination R of 0.9958. Optimal conditions for maximum protein solubility were extraction time 140 min, temperature 19 °C, pH 10.8 and solvent/sample ratio 13.02. Protein precipitation yields varied from 407 to 667 g kg , giving a coefficient of determination R of 0.9335. Optimal conditions for maximum protein precipitation were pH 5.03 and 60 min. Based on the RSM model, solubilization conditions were manipulated to maximize protein solubilization under reduced water and alkaline usage. These conditions were also validated.

Conclusion: Models for solubilization and precipitation using bovine and porcine lung were validated; predicted and actual yields were in good agreement, showing cross-species applicability of the results. © 2017 Society of Chemical Industry.

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Source
http://dx.doi.org/10.1002/jsfa.8678DOI Listing

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