Practical deployment of automation to expedite aqueous two-phase extraction

生物过程 工艺工程 自动化 计算机科学 过程(计算) 双节的 萃取(化学) 相(物质) 工程类 机械工程 色谱法 化学 相图 化学工程 操作系统 有机化学
作者
Mario A. Torres‐Acosta,Alex Olivares-Molina,Ross Kent,Nuno Leitão,Markus Gershater,Brenda Parker,Gary J. Lye,Duygu Dikicioǧlu
出处
期刊:Journal of Biotechnology [Elsevier]
卷期号:387: 32-43
标识
DOI:10.1016/j.jbiotec.2024.03.013
摘要

The feasibility of bioprocess development relies heavily on the successful application of primary recovery and purification techniques. Aqueous two-phase extraction (ATPE) disrupts the definition of "unit operation" by serving as an integrative and intensive technique that combines different objectives such as the removal of biomass and integrated recovery and purification of the product of interest. The relative simplicity of processing large samples renders this technique an attractive alternative for industrial bioprocessing applications. However, process development is hindered by the lack of easily predictable partition behaviours, the elucidation of which necessitates a large number of experiments to be conducted. Liquid handling devices can assist to address this problem; however, they are configured to operate using low viscosity fluids such as water and water-based solutions as opposed to highly viscous polymeric solutions, which are typically required in ATPE. In this work, an automated high throughput ATPE process development framework is presented by constructing phase diagrams and identifying the binodal curves for PEG6000, PEG3000, and PEG2000. Models were built to determine viscosity- and volume-independent transfer parameters. The framework provided an appropriate strategy to develop a very precise and accurate operation by exploiting the relationship between different liquid transfer parameters and process error. Process accuracy, measured by mean absolute error, and device precision, evaluated by the coefficient of variation, were both shown to be affected by the mechanical properties, particularly viscosity, of the fluids employed. For PEG6000, the mean absolute error improved by six-fold (from 4.82% to 0.75%) and the coefficient of variation improved by three-fold (from 0.027 to 0.008) upon optimisation of the liquid transfer parameters accounting for the viscosity effect on the PEG-salt buffer utilising ATPE operations. As demonstrated here, automated liquid handling devices can serve to streamline process development for APTE enabling wide adoption of this technique in large scale bioprocess applications.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
情怀应助Tina泽采纳,获得10
1秒前
star完成签到,获得积分10
1秒前
俏皮幻悲发布了新的文献求助10
1秒前
1秒前
1秒前
shangyu66完成签到,获得积分10
2秒前
田様应助淡淡博采纳,获得10
2秒前
2秒前
Crazyhhb完成签到,获得积分10
3秒前
xu发布了新的文献求助10
4秒前
4秒前
orixero应助kikko采纳,获得10
4秒前
大模型应助okay采纳,获得10
5秒前
Owen应助小斌采纳,获得10
5秒前
852应助茶泡饭采纳,获得10
5秒前
6秒前
忧心的峻熙完成签到,获得积分10
6秒前
长青发布了新的文献求助10
6秒前
可爱的函函应助哇哇哇采纳,获得10
6秒前
7秒前
7秒前
呱牛完成签到,获得积分10
8秒前
8秒前
何飞莲发布了新的文献求助10
9秒前
10秒前
Tiki发布了新的文献求助30
11秒前
12秒前
byey发布了新的文献求助10
12秒前
shushuwuwu发布了新的文献求助10
13秒前
搬砖狗发布了新的文献求助10
13秒前
marcg4应助青月小飞龙采纳,获得10
14秒前
14秒前
123发布了新的文献求助10
14秒前
彭于晏应助微笑小天鹅采纳,获得10
15秒前
壮观的雅绿完成签到,获得积分10
16秒前
温梦花雨完成签到 ,获得积分10
16秒前
17秒前
gaixinwen完成签到,获得积分10
17秒前
caicai发布了新的文献求助10
17秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Handbook of pharmaceutical excipients, Ninth edition 5000
Aerospace Standards Index - 2026 ASIN2026 3000
Digital Twins of Advanced Materials Processing 2000
Polymorphism and polytypism in crystals 1000
Signals, Systems, and Signal Processing 610
Discrete-Time Signals and Systems 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6041186
求助须知:如何正确求助?哪些是违规求助? 7779820
关于积分的说明 16233436
捐赠科研通 5187140
什么是DOI,文献DOI怎么找? 2775723
邀请新用户注册赠送积分活动 1758816
关于科研通互助平台的介绍 1642296