Optimization, Purification and Cholinesterase Enzyme Production: A Biochemical and Statistical Analysis

Abstract

Cholinesterase enzymes play a vital role in regulating neurotransmission by hydrolyzing acetylcholine and other choline-based esters. This study focuses on the purification and optimization of cholinesterase enzyme production, integrating biochemical and statistical approaches to enhance yield and efficiency. The enzyme was isolated from a selected microbial strain and subjected to purification steps including ammonium sulphate precipitation, dialysis, and chromatographic techniques. The purified enzyme was characterized for its specific activity, stability, and kinetic parameters. In response to reviewer Comment 1, this version includes key biochemical data: the purified cholinesterase exhibited high thermal stability (retaining >80% activity at 50°C) and pH stability (optimal at pH 8.0), indicating its suitability for industrial and medical applications. For process optimization, Response Surface Methodology (RSM) was applied to assess the influence of pH, temperature, incubation time, substrate concentration, and agitation speed on enzyme yield. A Central Composite Design (CCD) was employed to determine the optimal culture conditions. As requested in Comment 2, the optimized conditions—pH 8.2, temperature 37°C, agitation at 150 rpm, and 72-hour incubation—led to a 2.5-fold increase in enzyme activity compared to the baseline, validating the effectiveness of the CCD approach. This study offers a robust and scalable strategy for cholinesterase production, with significant potential for applications in neurodegenerative disease research, biosensors, and bioremediation.