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一株海洋红法夫酵母Phaffia rhodozyma RP-306产虾青素的发酵条件优化OA北大核心CSTPCD

Optimization of fermentation conditions for astaxanthin production by marine Phaffia rhodozyma RP-306

中文摘要英文摘要

为提高海洋红法夫酵母Phaffia rhodozyma RP-306的虾青素产量,本研究利用单因素和响应面实验对其发酵条件进行了优化.首先用单因素实验确定了蔗糖、酵母粉、硫酸铵、pH、温度和装液量 6个因素的初始值,再利用Plackett-Burman实验筛选出了影响较大的 3 个因素:蔗糖、pH、温度,并采用最陡爬坡实验确定了因素的合理范围,最后采用响应面法中的中心组合设计进行优化,其优化发酵条件为:蔗糖 29.93 g/L,酵母粉 2.0 g/L,硫酸铵 5.0 g/L,pH 5.27,温度 19.9℃.在此条件下虾青素产量从 13.46 mg/L提高到 17.04 mg/L,比优化前提高了 26.61%.以优化后发酵条件进行分批发酵,虾青素产量达到 28.86 mg/L,为进一步发酵放大研究奠定了良好基础.

To improve the yield of astaxanthin produced by Phaffia rhodozyma RP-306,fermentation conditions were optimized through single-factor and response surface methodology.Moreover,a single-factor experiment was designed for each factor during fermentation.First,initial values of six factors,including sucrose,yeast powder,ammonium sulfate,pH,temperature,and liquid volume,were determined by a single-factor experiment.Second,the Plackett-Burman design was employed to screen out influential factors,such as sucrose,pH,and temperature.The steepest climbing experiment was utilized to determine the reasonable range of the three factors.Finally,optimal fermentation conditions were obtained by central composite design in response surface methodology.The final re-sults were as follows:sucrose 29.93 g/L,yeast powder 2.0 g/L,ammonium sulfate 5.0 g/L,pH 5.27,and tempera-ture 19.9℃.Under these conditions,astaxanthin yield increased from 13.46 to 17.04 mg/L,which was 26.61%higher than that before optimization.Moreover,astaxanthin yield reached 28.86 mg/L via batch fermentation in a 5.0-L fermenter,which encouraged further fermentation scale-up research.

林嘉祺;庄岩;刘骁;曾翰庭;张玉苍;产竹华;曾润颖

集美大学 海洋食品与生物工程学院,福建 厦门 361021||自然资源部第三海洋研究所 自然资源部海洋生物资源开发利用工程技术创新中心,福建 厦门 361005自然资源部第三海洋研究所 自然资源部海洋生物资源开发利用工程技术创新中心,福建 厦门 361005自然资源部第三海洋研究所 自然资源部海洋生物资源开发利用工程技术创新中心,福建 厦门 361005||福州大学 先进制造学院,福建 晋江 362200集美大学 海洋食品与生物工程学院,福建 厦门 361021

生物工程

红法夫酵母虾青素发酵条件响应面优化

Phaffia rhodozyma RP-306astaxanthinfermentation conditionsresponse surface optimization

《海洋科学》 2024 (002)

69-78 / 10

自然资源部资助项目(HX05-210101-21);自然资源部新专项资助项目(HR02-200301-22)[Ministry of Natural Resources Funded Project,No.HX05-210101-21;Ministry of Natural Resources New Special Funded Project,No.HR02-200301-22]

10.11759/hykx20220726002

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