首页> 外文期刊>African Journal of Biotechnology >Optimization of operating conditions for the application of Moringa oleifera (Zogale) seeds extract in water disinfection using response surface methodology
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Optimization of operating conditions for the application of Moringa oleifera (Zogale) seeds extract in water disinfection using response surface methodology

机译:使用响应面法优化辣木种子提取物在水消毒中的应用条件

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Good quality dry seeds of?Moringa oleifera?were selected and the seed coat and wings were removed manually. The kernel was ground to fine powder using the coffee mill attachment of the Moulinex domestic food blender. The ground powder was then sieved through 210 μm sieve. The seed powder was de-fatted using hexane in electro-thermal Soxhlet extractor.?Moringa?seeds extract was obtained using the de-fatted seed cake and aqueous extraction. Different preparations of?Moringa?extract were added to 10 mL of the?Escherichia coli?suspension and incubated for 2 h without agitation. Survival of bacterial cells was assessed by making dilution series of bacterial suspensions, plating on non-selective LB medium agar dishes, and incubating for 48 h at 37°C. Duplicates were made of every individual assay. Colonies were counted on dishes and the bacterial cell survival ratio was estimated by comparison to a control experiment where no Moring extract was added. The bacterial removal was optimized by varying the mixing time, mixing speed, and?Moringa?seeds extract dosage. Statistical optimization was conducted by using central composite design (CCD). The experimental data was analyzed using statistical software DESIGN EXPERT, V6.4.8 DEC 10 2002 for Windows. The response surface model was used to determine the optimum operating condition that yields the highest antimicrobial compounds activities from?M. oleifera?seeds extracts. A cubic model was fitted to the data. The standard deviation for the cubic model was 0.56, with R2?= 0.9999 and adjusted R2?= 0.9994. The analysis of variance (ANOVA) showed that the effects of mixing time, mixing speed and?Moringa?dosage were significant (p < 0.05) in the extraction process. The Quadratic model was used in predicting the responses and the optimal conditions were determined as 31 min mixing time, 85 rpm mixing speed and 3.25 mg/mL?Moringa?dosage. The results show that the predicted and experimental values were not significantly different and it was thus concluded that the model obtained can be used to optimize the process of antimicrobial bioactive compound extraction from de-fatted?M. oleifera?seeds.
机译:选择优质的“辣木”干种子,并手动除去种皮和翅膀。使用Moulinex家用食品搅拌机的咖啡磨附件将果仁磨成细粉。然后将研磨的粉末过210μm筛。将种子粉末在电热索格利特萃取器中使用己烷脱脂。使用脱脂的种子饼和水提取获得香辛料种子的萃取物。将不同的“辣木提取物”制剂加入10 mL的“大肠杆菌”悬浮液中,并在不搅拌的情况下孵育2小时。通过制备一系列稀释的细菌悬液,铺板于非选择性LB培养基琼脂皿上,并在37°C下孵育48小时,来评估细菌细胞的存活。每个单独的测定重复两次。在培养皿上对菌落进行计数,并且通过与不添加莫林提取物的对照实验比较来估计细菌细胞存活率。通过改变混合时间,混合速度和辣木籽提取物的用量来优化细菌的去除。通过使用中央复合设计(CCD)进行统计优化。使用统计软件DESIGN EXPERT,V6.4.8 DEC 10 2002(适用于Windows)对实验数据进行了分析。响应面模型用于确定最佳操作条件,该条件可从?M获得最高的抗菌化合物活性。油菜籽提取物。将三次模型拟合到数据。三次模型的标准偏差为0.56,R2α= 0.9999,调整后的R2α= 0.9994。方差分析(ANOVA)表明,在提取过程中,混合时间,混合速度和“ Moringa”剂量的影响显着(p <0.05)。用二次模型预测响应,确定最佳条件为混合时间为31分钟,混合速度为85 rpm和3.25 mg / mL?Moringa?剂量。结果表明,预测值和实验值没有显着差异,因此得出的结论是,所获得的模型可用于优化从脱脂棉中提取抗菌生物活性化合物的工艺。油菜种子。

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