Probiotic fermentation environment control under intelligent data monitoring

IF 2.5 4区 医学 Q3 BIOCHEMICAL RESEARCH METHODS
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引用次数: 0

Abstract

Probiotic fermentation studies are vital in many areas, particularly when it comes to feeding applications. This work examines probiotic fermentation in oil tea crops. The assessment of tea saponin-degrading bacteria and optimization of fermentation conditions using fermented oil tea cake under natural conditions, screening out six strains with strong ability to degrade tea saponin; selection of the best tea saponin degradation strain L.2 and recognition of its morphological features and ITS sequence to obtain L.2 strain is Aspergillus Niger. Oil tea is rich in tea saponin. Aspergillus Niger degraded tea saponins in oil teacakes at a rate of 93.96 % under the ideal conditions of 31.3 oC, 103.5 h, and 4.57 mL of initial acid addition. This has been accomplished via solid-state fermentation of L.2 using single factor studies and surface response optimization experiments. Moreover, Aspergillus Niger degraded tea saponins in oil tea cakes at a rate of 93.96% at the ideal circumstances of 31.3 C, 103.5 h, and 4.57 mL of initial acid addition.

智能数据监控下的益生菌发酵环境控制。
益生菌发酵研究在许多领域都至关重要,尤其是在饲养应用方面。这项工作研究了油茶作物中的益生菌发酵。利用自然条件下发酵的油茶饼,评估茶皂素降解菌并优化发酵条件,筛选出六株降解茶皂素能力强的菌株;筛选出最佳茶皂素降解菌株 L.2,并识别其形态特征和 ITS 序列,得到 L.2 菌株为尼日尔曲霉。油茶中含有丰富的茶皂素。在 31.3 oC、103.5 h、初始加酸量为 4.57 mL 的理想条件下,尼日尔曲霉对油茶饼中茶皂素的降解率为 93.96%。这是利用单因素研究和表面响应优化实验,通过 L.2 的固态发酵实现的。此外,在 31.3 摄氏度、103.5 小时和初始加酸量为 4.57 毫升的理想条件下,尼日尔曲霉对油茶饼中茶皂素的降解率为 93.96%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
SLAS Technology
SLAS Technology Computer Science-Computer Science Applications
CiteScore
6.30
自引率
7.40%
发文量
47
审稿时长
106 days
期刊介绍: SLAS Technology emphasizes scientific and technical advances that enable and improve life sciences research and development; drug-delivery; diagnostics; biomedical and molecular imaging; and personalized and precision medicine. This includes high-throughput and other laboratory automation technologies; micro/nanotechnologies; analytical, separation and quantitative techniques; synthetic chemistry and biology; informatics (data analysis, statistics, bio, genomic and chemoinformatics); and more.
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