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Optimization of Process Variables for the Synthesis of Silver Nanoparticles by Pycnoporus sanguineus using Statistical Experimental Design

机译:利用统计实验设计优化血缘毕赤酵母合成银纳米粒子的工艺变量。

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摘要

Sequential optimization strategy based on statistical experimental design and one-factor-at-a-time (OFAT) method were employed to optimize the process parameters for the enhancement of silver nanoparticles (AgNPs) production through biological synthesis using Pycnoporus sanguineus. Based on the OFAT method, three significant components influencing the size of AgNPs produced were identified as AgNO3 concentration, incubation temperature, and agitation speed. The optimum values of these process parameter for the synthesis of AgNPs were determined using response surface methodology (RSM) based on Box-Behnken design. The validity of the model developed was verified, and the statistical analysis showed that the optimum operating conditions were 0.001 M of AgNO3, 38 degrees C, and 200 rpm with the smallest AgNPs produced at 14.86 nm. The disc diffusion method also suggested that AgNPs produced using optimum conditions have higher antimicrobial activity compared to the un-optimized AgNPs. The present study developed a robust operating condition for the production of AgNPs by P sanguineus, which was 8.6-fold smaller than that obtained from un-optimized conditions.
机译:采用基于统计实验设计和一次一因子(OFAT)方法的顺序优化策略来优化工艺参数,以利用血缘碧萝biological通过生物合成来提高银纳米颗粒(AgNPs)的产量。基于OFAT方法,确定了影响生产的AgNPs大小的三个重要成分,即AgNO3浓度,孵育温度和搅拌速度。使用基于Box-Behnken设计的响应面方法(RSM)确定用于合成AgNP的这些工艺参数的最佳值。验证了所开发模型的有效性,并且统计分析表明,最佳操作条件是0.001 M的AgNO3、38摄氏度和200 rpm,在14.86 nm处产生最小的AgNP。圆盘扩散法还表明,与未优化的AgNPs相比,在最佳条件下生产的AgNPs具有更高的抗菌活性。本研究开发了一种稳定的操作条件,用于生产血红假单胞菌,比未优化的条件小8.6倍。

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