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工程干预酶生产:从实验室到工业规模。

Engineering interventions in enzyme production: Lab to industrial scale.

机构信息

Divison of Livestock Production and Management, ICAR-Indian Veterinary Research Institute, Izatnagar, Bareilly 243 122, India.

Centre for Energy and Environmental Sustainability, Lucknow 226 029, India; Technology Development Centre, CSIR-National Environmental Engineering Research Institute, Nagpur 440 020, India; Department of Chemical & Biological Engineering, Korea University, Seoul 136713, Republic of Korea.

出版信息

Bioresour Technol. 2021 Apr;326:124771. doi: 10.1016/j.biortech.2021.124771. Epub 2021 Jan 30.

DOI:10.1016/j.biortech.2021.124771
PMID:33550211
Abstract

Commercial enzyme production has gained popularity due to its extensive applications in traditional and modern industrial sectors. Rigorous research activities are being conducted worldwide to make the enzyme production system more efficient, cost-effective and hence, sustainable. To overcome the lacunae in earlier enzyme production methods, new engineering interventions are being introduced to meet the growing demand for industrial enzymes. This review focuses initially on the current global scenario of the enzyme market followed by a discussion on different bioreactor design approaches. The use of novel membrane based, airlift and reciprocating plate bioreactors along with the emergence of micro-reactors have also been discussed. Further, the review covers different modelling and optimization strategies for the enzyme production process including advanced techniques like neural networks, adaptive neuro-fuzzy inference systems and genetic algorithms. Finally, the required thrust areas in the enzyme production sector have been highlighted with directions for future research.

摘要

商业酶生产因其在传统和现代工业领域的广泛应用而受到欢迎。全球范围内正在进行严格的研究活动,以使酶生产系统更高效、更具成本效益,从而更可持续。为了克服早期酶生产方法的缺陷,正在引入新的工程干预措施,以满足对工业酶不断增长的需求。本综述首先关注当前的全球酶市场情况,然后讨论不同的生物反应器设计方法。还讨论了新型基于膜的、气升式和往复板式生物反应器的使用以及微反应器的出现。此外,该综述涵盖了酶生产过程的不同建模和优化策略,包括神经网络、自适应神经模糊推理系统和遗传算法等先进技术。最后,突出了酶生产领域的必要推动领域,并为未来的研究指明了方向。

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