Machine learning: an advancement in biochemical engineering.

IF 2 4区生物学 Q3 BIOTECHNOLOGY & APPLIED MICROBIOLOGY

Biotechnology Letters Pub Date : 2024-08-01 Epub Date: 2024-06-21 DOI:10.1007/s10529-024-03499-8

Ritika Saha, Ashutosh Chauhan, Smita Rastogi Verma

引用次数: 0

Abstract

One of the most remarkable techniques recently introduced into the field of bioprocess engineering is machine learning. Bioprocess engineering has drawn much attention due to its vast application in different domains like biopharmaceuticals, fossil fuel alternatives, environmental remediation, and food and beverage industry, etc. However, due to their unpredictable mechanisms, they are very often challenging to optimize. Furthermore, biological systems are extremely complicated; hence, machine learning algorithms could potentially be utilized to improve and build new biotechnological processes. Gaining insight into the fundamental mathematical understanding of commonly used machine learning algorithms, including Support Vector Machine, Principal Component Analysis, Partial Least Squares and Reinforcement Learning, the present study aims to discuss various case studies related to the application of machine learning in bioprocess engineering. Recent advancements as well as challenges posed in this area along with their potential solutions are also presented.

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机器学习：生物化学工程的进步。

机器学习是最近引入生物过程工程领域的最引人注目的技术之一。生物过程工程因其在生物制药、化石燃料替代品、环境修复、食品和饮料行业等不同领域的广泛应用而备受关注。然而，由于其机制难以预测，对其进行优化往往具有挑战性。此外，生物系统极其复杂，因此可以利用机器学习算法来改进和构建新的生物技术流程。通过深入了解常用机器学习算法的基本数学原理，包括支持向量机、主成分分析、偏最小二乘法和强化学习，本研究旨在讨论与机器学习在生物工艺工程中的应用有关的各种案例研究。本研究还介绍了这一领域的最新进展、面临的挑战及其潜在的解决方案。

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来源期刊

Biotechnology Letters 工程技术-生物工程与应用微生物

CiteScore

5.90

自引率

3.70%

发文量

108

审稿时长

1.2 months

期刊介绍： Biotechnology Letters is the world’s leading rapid-publication primary journal dedicated to biotechnology as a whole – that is to topics relating to actual or potential applications of biological reactions affected by microbial, plant or animal cells and biocatalysts derived from them. All relevant aspects of molecular biology, genetics and cell biochemistry, of process and reactor design, of pre- and post-treatment steps, and of manufacturing or service operations are therefore included. Contributions from industrial and academic laboratories are equally welcome. We also welcome contributions covering biotechnological aspects of regenerative medicine and biomaterials and also cancer biotechnology. Criteria for the acceptance of papers relate to our aim of publishing useful and informative results that will be of value to other workers in related fields. The emphasis is very much on novelty and immediacy in order to justify rapid publication of authors’ results. It should be noted, however, that we do not normally publish papers (but this is not absolute) that deal with unidentified consortia of microorganisms (e.g. as in activated sludge) as these results may not be easily reproducible in other laboratories. Papers describing the isolation and identification of microorganisms are not regarded as appropriate but such information can be appended as supporting information to a paper. Papers dealing with simple process development are usually considered to lack sufficient novelty or interest to warrant publication.