Work

Design and optimisation of lysozyme protein purification process using non-thermal progressive freeze concentration technology

Year: 2024
Type: article
Abstract: • A novel ice crystallizer called multiple probe cryo-concentrator (MPCC) for lysozyme protein concentration was designed. • The impact of operating parameters influencing K-value and solute concentration yield were optimized. • The non-thermal PFC process was optimized using RSM for the first time in this study. • Effective partition constant (K-value) of 0.132 and solute concentration yield of 87.39 % were obtained under the optimum conditions. • The optimum operating conditions were found to be; −12 ⁰C, 350 rpm, 40 min and 10 mg/mL for K- value and solute concentration yield. In this study, PFC system is investigated to improve the concentration and yield of lysozyme. The research focused on an attempt to thoroughly construct an ice crystallizer with measurable and optimized design parameters for an efficient lysozyme protein concentration procedure because the productivity of PFC is always an issue. A new Multiple Probe Cryo-Concentrator (MPCC) device was designed and successfully equipped with probes having a well-distributed cooled surface area for ice crystallization with proper internal cooling temperature control as well as a solution movement mechanism provided by a stirrer in the tank. The impact of different operating parameters is optimally investigated. Central Composite Design (CCD) is utilized to optimize PFC operating conditions and their response to partition constant (K-value) and solute yield. The results showed that a coolant temperature of -12 ⁰C, stirrer speed of 350 rpm, operation time of 40 min and initial concentration of 10 mg/mL gave the best K-value (0.132) and solute concentration yield (87.39 %). The design elements of the equipment are crucial in providing improved PFC performance. The study revealed that the PFC system designed and applied in this study can improve the lysozyme protein concentration as needed in the food and pharmaceutical industry.
Language: English
Open Access status: hybrid
Estimated APC paid: $3,800
OpenAlex ID: W4402312178
FWCI: 0.452
Cites: 65
Cited by: 3
Related to: 10