Suppr超能文献

评估响应面法以预测植物乳杆菌A7(KC 355240)在含有孜然精油的益生菌豆浆中的最佳生长条件。

Evaluation of Response Surface Methodology to Predict Optimum Growth Conditions for Lactobacillus plantarum A7 (KC 355240) in Probiotic Soy Milk Containing Essential Oil of Cuminum cyminum.

作者信息

Babashahi Mina, Mirlohi Maryam, Ghiasvand Reza, Torki-Baghbadorani Sahar

机构信息

Food Security Research Center and Department of Food Sciences & Technology, School of Nutrition & Food Sciences, Isfahan University of Medical Sciences, Isfahan, Iran..

出版信息

Recent Pat Food Nutr Agric. 2016;8(2):132-137. doi: 10.2174/2212798408666161026161105.

Abstract

BACKGROUND

A new product from soy milk, which is a combination of probiotics and essential oils, can be regarded as a functional food with new added health benefit.

OBJECTIVES

This study aimed to evaluation of the results of response surface methodology (RSM) in prediction of the optimum growth condition of Lactobacillus plantarum A7 (KC 355240) (LA7) cultured in soy milk enriched with different concentrations of essential oil of Cuminum cyminum in comparison with the classical growth curve monitoring method.

METHODS

Bacterial growth was investigated in the samples of probiotic soy milk containing three concentration levels (0.01%, 0.02% and 0.03% (v/v)) of the essential oil of C. cyminum. The experiments were repeated three times. Concentration of C. cyminum essential oil and the fermentation time were considered as factors and experiments were conducted based on a small composite design of response surface methodology.

RESULTS

According to the tests carried out, the optimum conditions were determined as the concentration of 0.02% (v/v) essential oil and 9 hours of fermentation.

CONCLUSIONS

These results were in accordance with the outcomes of classical growth curve monitoring method. There are several patents that have recently shown a diverse mix of soy milk in functional foods. Results of this study can be used in the preparation of functional products, enriched with medicinal plants.

摘要

背景

一种由益生菌和精油组合而成的新型豆浆产品,可被视为具有新的健康益处的功能性食品。

目的

本研究旨在评估响应面法(RSM)在预测植物乳杆菌A7(KC 355240)(LA7)在添加不同浓度孜然精油的豆浆中培养的最佳生长条件方面的结果,并与传统的生长曲线监测方法进行比较。

方法

在含有三种孜然精油浓度水平(0.01%、0.02%和0.03%(v/v))的益生菌豆浆样品中研究细菌生长。实验重复三次。将孜然精油浓度和发酵时间视为因素,并基于响应面法的小型复合设计进行实验。

结果

根据所进行的测试,确定最佳条件为精油浓度0.02%(v/v)和发酵9小时。

结论

这些结果与传统生长曲线监测方法的结果一致。最近有几项专利展示了功能性食品中豆浆的多样化组合。本研究结果可用于制备富含药用植物的功能性产品。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验