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利用咖啡壳生产、统计优化和应用木霉内切葡聚糖酶。

Production, statistical optimization and application of endoglucanase from Rhizopus stolonifer utilizing coffee husk.

机构信息

Plantation Products Spices and Flavour Technology Department, Central Food Technological Research Institute, Council of Scientific and Industrial Research, New Delhi, India.

出版信息

Bioprocess Biosyst Eng. 2013 Aug;36(8):1115-23. doi: 10.1007/s00449-012-0865-3. Epub 2012 Dec 7.

DOI:10.1007/s00449-012-0865-3
PMID:23223909
Abstract

Coffee cherry husk (CH) is one of the major by-products obtained from coffee processing industry and accounts to 43 ± 5.9% of cellulose. Screening of fungal organism for cellulase production was carried out and the potential organism was identified as Rhizopus stolonifer by internal transcribed spacer's (ITS)-5.8S rDNA analysis. A systematic study with response surface methodology (RSM) based on CCRD was used to study the interactions among the variables such as pH (3-7), moisture (40-80%) and progression duration (72-168 h) of the fermentation process to maximize the enzyme production. Under the optimized cultivation condition, R. stolonifer synthesized 22,109 U/gds. Model validations at optimum operating conditions showed excellent agreement between the experimental results and the predicted responses with a confidence level of 95%. Endoglucanase thus produced was utilized for ethanol production by simultaneous saccharification and fermentation and maximum of 65.5 g/L of ethanol was obtained. This fungal cellulase has also reported to be efficient detergent additives and promising for commercial use. The present study demonstrates coffee husk as a significant bioprocess substrate. Statistical optimization with major parameters for cellulase production can be highly applicable for industrial scale. Furthermore, value addition to coffee husk with sustainable waste management leading to environment conservation can be achieved.

摘要

咖啡樱桃皮(CH)是从咖啡加工行业获得的主要副产品之一,占纤维素的 43±5.9%。对产纤维素酶的真菌进行了筛选,通过内转录间隔区(ITS)-5.8S rDNA 分析,将潜在的产酶真菌鉴定为根霉(Rhizopus stolonifer)。采用基于中心复合设计(CCD)的响应面法(RSM)对发酵过程中的 pH(3-7)、水分(40-80%)和发酵时间(72-168 h)等变量的相互作用进行了系统研究,以最大限度地提高酶产量。在优化的培养条件下,根霉合成了 22109 U/gds。在最佳操作条件下对模型进行验证,实验结果与预测响应之间具有极好的一致性,置信水平为 95%。由此产生的内切葡聚糖酶用于同步糖化发酵生产乙醇,最高可获得 65.5 g/L 的乙醇。这种真菌纤维素酶也被报道为有效的洗涤剂添加剂,具有商业应用前景。本研究表明咖啡果皮是一种重要的生物加工底物。通过对主要参数进行统计优化,以生产纤维素酶,可高度适用于工业规模。此外,通过可持续的废物管理对咖啡果皮进行增值,可实现环境保护。

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