Owade Joshua Ombaka, Abong' George Ooko, Okoth Michael Wandayi, Mwang'ombe Agnes Wakesho, Jobor Jared Omondi
Department of Food Science, Nutrition and Technology University of Nairobi Nairobi Kenya.
Department of Plant Science and Crop Protection University of Nairobi Nairobi Kenya.
Food Sci Nutr. 2021 Jan 23;9(3):1651-1664. doi: 10.1002/fsn3.2140. eCollection 2021 Mar.
In as much as spontaneous fermentation of cowpea leaves enhances product diversification, the process is rather slow with poor product quality. Limited work has been undertaken to provide input toward standardization of the process and enhancing of product quality. The current study sought to evaluate the in-process fermentative bacteria profile changes due to the effect of optimization of fermentation process of cowpea leaves. Lactic acid bacteria (LAB) isolates from spontaneous and optimized fermentation were characterized using biochemical tests, whereby optimization was done using the Response Surface Methodology model of the central composite design in the Design Expert Software. The RSM models accounted for 89% and 60% variability in the response variables of pH and titratable acidity, respectively ( < .001). Increasing the sugar concentration and period of fermentation significantly ( < .05) increased the titratable acidity, while reducing the pH. The optimal fermentation parameters were established as sugar and salt concentrations of 5% and 2%, respectively, 16 days of fermentation, pH of 3.8 and titratable acidity of 1.22% with a desirability of 0.859. Of the 13 identified LAB isolates, and dominated the onset stage of spontaneous fermentation whereas only dominated the onset stage of optimized fermentation. Additionally, the final stage with the dominant isolates of was longer in the spontaneous fermentation process than in the optimized process. Evidently, optimizing the fermentation process resulted in increasing dominance by heterofermenters in the production of soured cowpea leaves, with the yielded product having enhanced acidity.
鉴于豇豆叶的自然发酵可增加产品多样性,但其过程相当缓慢且产品质量较差。为使该过程标准化并提高产品质量所做的工作有限。本研究旨在评估豇豆叶发酵过程优化对发酵过程中细菌谱变化的影响。通过生化试验对从自然发酵和优化发酵中分离出的乳酸菌(LAB)进行了表征,其中优化是使用Design Expert软件中的中心复合设计的响应面方法模型完成的。响应面模型分别解释了pH值和可滴定酸度响应变量中89%和60%的变异性(P <.001)。增加糖浓度和发酵时间显著(P <.05)提高了可滴定酸度,同时降低了pH值。确定的最佳发酵参数为糖浓度5%、盐浓度2%、发酵16天、pH值3.8、可滴定酸度1.22%,可取性为0.859。在鉴定出的13株乳酸菌分离物中,[具体菌株1]和[具体菌株2]在自然发酵的起始阶段占主导地位,而在优化发酵的起始阶段只有[具体菌株3]占主导地位。此外,在自然发酵过程中,以[具体菌株X]为主导分离物的最终阶段比优化过程中的更长。显然,优化发酵过程导致在酸豇豆叶生产中异型发酵菌的优势增加,所产产品酸度增强。