Journal of Applied Microbiology, Vol.119, No.1, 162-176, 2015
Optimization of soybean processing into kinema, a Bacillus-fermented alkaline food, with respect to a minimum level of antinutrients
AimsOptimization of traditional processing of soybeans using response surface methodology (RSM) to achieve a minimum level of antinutritional factors (ANFs) in kinema. Methods and ResultsCentral composite rotatable designs were used to optimize the processing stages of kinema preparation. In each stage, the linear or quadratic effects of independent variables were significant in minimizing ANF levels. The predicted optimum condition for soaking was when the raw beans-water ratio was 1:10, and the soaking temperature, time and pH were 10 degrees C, 20h and 80 respectively. Here, tannins content (TC), phytic acid content (PAC) and trypsin inhibitor activity (TIA) decreased (P<005). While haemagglutinating activity (HA) level remained unchanged (P<005), total biogenic amines content (TBAC) increased. The optimum condition for cooking was optimally soaked beans-water ratio of 1:5, and cooking pressure and time were 110kgcm(-2) and 20min respectively. Here, TC, PAC, TIA and HA decreased (P<005), but TBAC remained unchanged compared to optimally soaked beans. TC and HA went below the level of detection. The optimum condition for fermentation was obtained when inoculum load was 10(3) total cellsg(-1) grits, and fermentation temperature and time were 37 degrees C and 48h respectively. Fermentation of optimally cooked beans caused a reduction (P<005) of PAC. While TIA remained unchanged (P<005), TBAC increased. In kinema, TC, PAC, TIA and HA decreased (P<005) over raw beans by 100, 61, 71 and 100% respectively. Good agreement was observed between predicted values and experimental values. ConclusionsThe processing treatments significantly minimized the level of ANFs in soybeans. Significance and Impact of the StudyRSM was successfully deployed to obtain the optimum condition for kinema-making with a minimum level of ANFs without impairing sensory attributes of the product. The results are useful for commercial production of kinema.
Keywords:antinutritional factor;kinema;process optimization;response surface methodology;sensory analysis;soybean