Rosmine Emilda, Sainjan Neethu Changanedassery, Silvester Reshma, Alikkunju Aneesa, Varghese Saramma Aikkarakunnath
Department of Marine Biology, Microbiology and Biochemistry, School of Marine Sciences, CUSAT, Kerala, India.
J Genet Eng Biotechnol. 2017 Dec;15(2):393-401. doi: 10.1016/j.jgeb.2017.06.001. Epub 2017 Jun 23.
Recently, xylanase has become an essential option for environmental friendly industrial biotechnological applications and the rising demand for its large scale production urge to take the advantage of statistical approach of optimization to investigate the interactive effects of prominent process factors involved to enhance xylanase production. In the present study, xylanase production from sp. strain ER1 isolated from Cochin estuarine soil; was optimised using statistical designs- Plackett-Burman and Central composite design. Plackett-Burman design was used to identify important fermentation condition factors affecting the xylanase production using beechwood xylan as the substrate. The optimum levels of these significant factors were determined employing the Central Composite Design. Out of the thirteen factors screened, concentration of beechwood xylan and olive oil, agitation speed, and inoculum age were recognized as the most significant factors. By analyzing the response surface plots and using numerical optimization method, the optimal levels for concentration of xylan and olive oil, agitation speed and inoculum age were determined as 0.37%, 33.10 mg/L, 42.87 RPM and 21.05 h, respectively. The optimised medium resulted in a 1.56-fold increased level of the xylanase (10,220 U/mL) production compared to the initial level (3986.444 U/mL) after 120 h of fermentation. The purified enzyme could successfully clarify orange, mousambi and pineapple juice to 20.87%, 23.64% and 27.89% respectively. Thus the present study has proved that sp. strain ER1 (KY449279) is a potential and useful organism for xylanase production and its purified enzyme could clarify the selected fruit juices.
最近,木聚糖酶已成为环境友好型工业生物技术应用的重要选择,其大规模生产的需求不断增加,促使人们利用统计优化方法来研究影响木聚糖酶产量的主要工艺因素之间的相互作用。在本研究中,从科钦河口土壤中分离出的 种菌株 ER1 产木聚糖酶;采用统计设计——Plackett-Burman 设计和中心复合设计进行优化。Plackett-Burman 设计用于确定以山毛榉木聚糖为底物时影响木聚糖酶产量的重要发酵条件因素。采用中心复合设计确定这些显著因素的最佳水平。在筛选的 13 个因素中,山毛榉木聚糖和橄榄油的浓度、搅拌速度和接种龄被认为是最显著的因素。通过分析响应面图并使用数值优化方法,确定木聚糖和橄榄油浓度、搅拌速度和接种龄的最佳水平分别为 0.37%、33.10 mg/L、42.87 RPM 和 21.05 h。优化后的培养基在发酵 120 h 后,木聚糖酶产量(10220 U/mL)比初始水平(3986.444 U/mL)提高了 1.56 倍。纯化后的酶能分别成功澄清橙汁、甜橙汁和菠萝汁 20.87%、23.64%和 27.89%。因此,本研究证明 种菌株 ER1(KY449279)是生产木聚糖酶的潜在有用菌株,其纯化后的酶能澄清所选果汁。