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首页> 外文期刊>RSC Advances >Enhancement of BLIS production by Pediococcus acidilactici kp10 in optimized fermentation conditions using an artificial neural network
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Enhancement of BLIS production by Pediococcus acidilactici kp10 in optimized fermentation conditions using an artificial neural network

机译：在最佳发酵条件下，使用人工神经网络提高嗜酸乳球菌kp10的BLIS产量

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摘要

The present study was aimed at enhancing the production of bacteriocin-like inhibitory substance (BLIS) produced by Pediococcus acidilactici Kp10 through optimizing the fermentation parameters. M17 was chosen in preliminary study as a culture medium because BLIS production was nine times higher (1427.7 AU mL(-1)) compared to that produced by MRS (160 AU mL(-1)). The fermentation parameters such as temperature, inoculum size, buffer strength, concentration of tween 80 and agitation speed were screened using two level half-factorial design. BLIS production is influenced by three most significant factors identified as temperature, inoculum size and agitation speed, which were further optimized using an artificial neural network (ANN). ANN predicted that a maximum activity of 5262.64 AU mL (1) would be obtained at optimum conditions of 120 rpm, 3% and 28.5 degrees C. The observed BLIS activity at the predicted optimum levels of the tested variables in ANN was 5118.5 AU mL(-1), which was close to the predicted BLIS activity. Increased BLIS activity in the final solution, which resulted from the optimized process, would reduce downstream steps such as concentrating the product during purification.
机译：本研究旨在通过优化发酵参数来提高乳酸双球菌Kp10产生的细菌素样抑制物质（BLIS）的产量。在初步研究中选择M17作为培养基是因为BLIS的产量（1427.7 AU mL（-1））比MRS的产量（160 AU mL（-1））高9倍。使用二级半因素设计筛选了发酵参数，例如温度，接种量，缓冲液强度，吐温80的浓度和搅拌速度。 BLIS的生产受到三个最重要的因素的影响：温度，接种量和搅拌速度，这些因素使用人工神经网络（ANN）进行了进一步优化。 ANN预测，在120 rpm，3％和28.5摄氏度的最佳条件下，将获得5262.64 AU mL（1）的最大活性。在ANN中预测变量的最佳水平下观察到的BLIS活性为5118.5 AU mL（ -1），接近预测的BLIS活动。通过优化工艺，最终溶液中提高的BLIS活性将减少下游步骤，例如在纯化过程中浓缩产物。

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