产GABA乳酸菌的筛选及其发酵黑果花楸汁的工艺优化
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1.宁夏大学食品科学与工程学院;2.江苏省农业科学院农产品加工研究所

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TS255.44

基金项目:

宁夏农林科学院科技创新引导科技攻关项目(NKYG-24-10);宁夏回族自治区重点研发计划项目(2024BEG01006);宁夏回族自治区重点研发计划引才专项(2024BEH04143)


Wu Yiqing1, Meng Chaoxiong2, Wang Yuan1, Liu Huiyan1, Fang Haitian1,*
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1.无;2.Institute of Agro-product Processing, Jiangsu Academy of Agricultural Sciences;3.School of Food Science and Engineering, Ningxia University,

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    摘要:

    为开发富含γ-氨基丁酸(GABA)的功能性黑果花楸(Aronia melanocarpa)发酵饮品,本研究旨在筛选出一株适合黑果花楸汁发酵的产GABA乳酸菌,采用响应面法(RSM)与人工神经网络-遗传算法(ANN-GA)耦合模型优化发酵工艺,并评价发酵对风味的影响。采用薄层层析法(TLC)与高效液相色谱法(HPLC)初筛出6株产GABA菌株,并进一步在黑果花楸汁中结合菌株生理特性评价,确定最优发酵菌株。采用响应面法与人工神经网络-遗传算法耦合模型优化富集GABA的发酵工艺,并通过感官评价与电子舌分析评估发酵对黑果花楸汁风味的影响。结果表明:筛选获得一株适用于黑果花楸汁发酵的短乳杆菌(Levilactobacillus brevis)Lj16,在黑果花楸汁中GABA产量为2.07 mg/mL,显著优于其他菌株(P < 0.05)。Lj16生理特性评价显示,该菌株在pH 2.5条件下处理4 h后存活率达65.79%;GAD活力高达2.02±0.01 U/mL,且产酸温和(终末pH 5.0),有利于GAD持续发挥作用。基于该菌株,采用响应面(RSM)与人工神经网络-遗传算法(ANN-GA)耦合模型优化发酵工艺,获得最佳条件为:L-谷氨酸钠2.30%、酵母浸粉2.40%、发酵温度36.5℃、发酵时间120 h, GABA产量达8.77±0.16 mg/mL。感官评价与电子舌分析表明,发酵后黑果花楸汁的酸涩味显著降低,风味协调性明显改善。本研究筛选出一株适用于黑果花楸汁发酵富集GABA的乳酸菌,采用RSM与ANN-GA耦合模型优化发酵工艺,在富集GABA的同时有效改善产品风味,为开发高GABA功能性发酵饮品提供了菌种与工艺基础。

    Abstract:

    To screen a strain of GABA-producing lactic acid bacteria suitable for Aronia melanocarpa juice fermentation and optimize the fermentation process, this study employed response surface methodology (RSM) coupled with an artificial neural network-genetic algorithm (ANN-GA) model and evaluated the effect of fermentation on flavor. Six GABA-producing strains were initially screened using thin layer chromatography (TLC) and high performance liquid chromatography (HPLC). The optimal strain for Aronia melanocarpa juice fermentation was determined through re-screening in the juice matrix combined with physiological characterization. Subsequently, the coupled RSM-ANN-GA model was used to optimize the fermentation process for GABA enrichment, and the impact of fermentation on flavor was assessed using sensory evaluation and electronic tongue analysis. Results showed that Levilactobacillus brevis Lj16 was identified as the most suitable strain, achieving a GABA yield of 2.07 mg/mL in Aronia melanocarpa juice, significantly higher than other strains (P< 0.05). Physiological characterization revealed that Lj16 exhibited a survival rate of 65.79% after 4 h of exposure to pH 2.5, a high glutamate decarboxylase (GAD) activity of 2.02±0.01 U/mL, and mild acid production (final pH 5.0), which favors sustained GAD activity. Using this strain, the optimal fermentation conditions determined by the coupled RSM-ANN-GA model were: L-monosodium glutamate 2.30%, yeast extract 2.40%, fermentation temperature 36.5 °C, and fermentation time 120 h. Under these conditions, the GABA yield reached 8.77±0.16 mg/mL. Sensory evaluation and electronic tongue analysis demonstrated that the fermented juice exhibited significantly reduced astringency and sourness, along with markedly improved flavor harmony. This study successfully screened a lactic acid bacterium suitable for GABA enrichment in Aronia melanocarpa juice fermentation. The coupled RSM-ANN-GA model effectively optimized the fermentation process, enhancing GABA accumulation while improving product flavor, providing both a valuable microbial resource and a process foundation for developing high-GABA functional fermented beverages.

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  • 收稿日期:2026-01-29
  • 最后修改日期:2026-03-06
  • 录用日期:2026-03-12
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