Karamad Dina, Khosravi-Darani Kianoush, Hosseini Hedayat, Tavasoli Sanaz, Miller Aaron W
Student Research Department of Food Technology Research, National Nutrition and Food Technology Research Institute, Shahid Beheshti University of Medical Sciences, P.O. Box: 19395-4741, Tehran, Iran.
Research Department of Food Technology Research, National Nutrition and Food Technology Research Institute, Shahid Beheshti University of Medical Sciences, P.O. Box: 19395-4741, Tehran, Iran.
Biocatal Agric Biotechnol. 2019 Nov;22. doi: 10.1016/j.bcab.2019.101378. Epub 2019 Oct 10.
Oxalate is a common component of many foods typically present as a salt of oxalic acid, which will be excreted in the urine. Hyperoxaluria is known to be a considerable risk factor for urolithiasis, and formation of oxalate kidney stone. Oxalate degradation by the probiotic anaerobic bacterium DSM 4420 has high yield and efficiency both in the human colon helping to prevent hyperoxaluria and disorders such as the development of kidney stones and as a novel approach in reducing the high concentration of foodstuff oxalate content such as tea, coffee, and nuts. For determining the effective factors to enhance high concentration oxalate biodegradation activity of DSM 4420 Plackett-Burman screening design was applied to evaluate the impact of 10 process variables. After determining the main factors by screening design, a response surface methodology was used to find suitable treatment combination for oxalate biodegradation by this probiotic. A second-order quadratic model estimated that the highest biodegradation of 60.2% was achieved in presence of 1.35 (g/L) inulin, 36.56 (g/L) glucose, 26 (mmol/L) ammonium oxalate, and pH 6. In other word, the optimum point showed that in the above condition the high concentration of ammonium oxalate content of 26 mmoL/L will reach to 9.95 mmoL/L. Reconfirmation experiment showed the validity of predicted optimum conditions. A surface model using the RSM and optimizing this model using the GA technique, resulted in a useful method of finding an optimal set of process parameters.
草酸盐是许多食物中的常见成分,通常以草酸的盐形式存在,并会通过尿液排出。高草酸尿症是已知的尿石症和草酸盐肾结石形成的重要危险因素。益生菌厌氧细菌DSM 4420对草酸盐的降解在人类结肠中具有高产率和高效率,有助于预防高草酸尿症以及肾结石等疾病的发生,同时也是降低茶、咖啡和坚果等高草酸盐含量食品中草酸盐浓度的一种新方法。为了确定提高DSM 4420对高浓度草酸盐生物降解活性的有效因素,采用了Plackett-Burman筛选设计来评估10个工艺变量的影响。通过筛选设计确定主要因素后,使用响应面方法来寻找该益生菌对草酸盐生物降解的合适处理组合。二阶二次模型估计,在存在1.35(g/L)菊粉、36.56(g/L)葡萄糖、26(mmol/L)草酸铵和pH值为6的条件下,生物降解率最高可达60.2%。换句话说,最佳点表明在上述条件下,26 mmol/L的高浓度草酸铵含量将降至9.95 mmol/L。再确认实验证明了预测最佳条件的有效性。使用响应面方法建立表面模型并使用遗传算法对该模型进行优化,得到了一种寻找最佳工艺参数集的有效方法。