Department of Food Engineering and Technology, Institute of Chemical Technology, Mumbai, India.
J Food Sci. 2022 Nov;87(11):5070-5088. doi: 10.1111/1750-3841.16357. Epub 2022 Oct 26.
The objective of the present work is to optimize fermentation conditions for a set of three legume-based synbiotic beverages made from green mung and red kidney beans, namely GMB (100% mung bean); RKB (100% kidney bean); and KB (7:3, kidney bean: mung bean) to attain desirable quality attributes. Face-centered composite design (FCCD) was applied using fermentation time and temperature as independent variables. The responses, namely, pH, protein digestibility (PD), and total viable count (TVC) of probiotic Lacticaseibacillus casei ATCC 335, were optimized using response surface methodology (RSM) followed by numerical optimization. The optimization was based on maximizing the desirability, which connected the responses and importance. The experimental and predicted values were similar, and the model was valid for all beverages with R > 0.9. The optimized condition suggested that fermentation at 20°C for 18 h in the case of KB and GMB and 21 h for RKB would lead to desired pH (6.0-6.5), maximum PD (> 60%), and highest TVC (> 8 log CFU/ml). A significant reduction in antinutritional factors (ANFs), namely, tannin (20-44%), saponin (43-52%), and phytate (43-46%) from an initial value of around 0.30, 0.40, and 0.50 mg/L respectively, for all the beverages at optimized fermentation conditions was observed. Similarly, a slight loss of < 3.5% in total phenol content (TPC) was seen. Additionally, good proteolytic and antibacterial activity was observed, with KB being the best. Hence, all developed legume-based synbiotic beverages exhibit desirable goals when subjected to optimized fermentation conditions and enhanced functionality. PRACTICAL APPLICATION: When subjected to optimized fermentation conditions, the developed synbiotic legume-based beverages can be used as a potential functional food in the nondairy beverage industry with added health benefits and new tasting flavors.
本工作旨在优化三种基于豆类的共生饮料的发酵条件,这些饮料由绿豆和红芸豆制成,分别为 GMB(100%绿豆)、RKB(100%芸豆)和 KB(7:3,芸豆:绿豆),以达到理想的质量属性。使用发酵时间和温度作为自变量,采用中心复合设计(FCCD)。使用响应面法(RSM)对响应值(即益生菌 Lactobacillus casei ATCC 335 的 pH 值、蛋白质消化率(PD)和总活菌数(TVC))进行优化,然后进行数值优化。优化是基于最大化理想性来进行的,该理想性连接了响应值和重要性。实验值和预测值相似,该模型对所有饮料均有效,R ² >0.9。优化条件表明,在 KB 和 GMB 的情况下,发酵温度为 20°C,发酵时间为 18 小时,在 RKB 的情况下,发酵温度为 21°C,发酵时间为 18 小时,将导致理想的 pH 值(6.0-6.5)、最大 PD(>60%)和最高 TVC(>8 log CFU/ml)。在优化发酵条件下,所有饮料中的抗营养因子(ANFs),即单宁(20-44%)、皂甙(43-52%)和植酸(43-46%),从初始值约 0.30、0.40 和 0.50 mg/L 分别显著降低。同样,总酚含量(TPC)也略有损失,<3.5%。此外,观察到良好的蛋白水解和抗菌活性,其中 KB 效果最佳。因此,所有开发的基于豆类的共生饮料在经过优化的发酵条件下,都表现出理想的目标,并具有增强的功能。
经过优化的发酵条件处理后,开发的共生豆类饮料可以作为非乳制品饮料行业的一种潜在功能性食品,具有额外的健康益处和新的口感。