Suppr超能文献

基于液体处理平台构建番茄红素的校准曲线——对自动化稀释方案开发的更广泛启示。

Construction of a Calibration Curve for Lycopene on a Liquid-Handling Platform─Wider Lessons for the Development of Automated Dilution Protocols.

机构信息

Department of Bioengineering, Imperial College London, London SW7 2BX, United Kingdom.

出版信息

ACS Synth Biol. 2024 Aug 16;13(8):2357-2375. doi: 10.1021/acssynbio.4c00031. Epub 2024 Aug 3.

Abstract

Liquid-handling is a fundamental operation in synthetic biology─all protocols involve one or more liquid-handling operations. It is, therefore, crucial that this step be carefully automated in order to unlock the benefits of automation (e.g., higher throughput, higher replicability). In the paper, we present a study, conducted at the London Biofoundry at SynbiCITE, that approaches liquid-handling and its reliable automation from the standpoint of the construction of the calibration curve for lycopene in dimethyl sulfoxide (DMSO). The study has important practical industrial applications (e.g., lycopene is a carotenoid of industrial interest, DMSO is a popular extractant). The study was also an effective testbed for the automation of liquid-handling. It necessitated the development of flexible liquid-handling methods, which can be generalizable to other automated applications. In addition, because lycopene/DMSO is a difficult mix, it was capable of revealing issues with automated liquid-handling protocols and stress-testing them. An important component of the study is the constraint that, due to the omnipresence of liquid-handling steps, errors should be controlled to a high standard. It is important to avoid such errors propagating to other parts of the protocol. To achieve this, a practical framework based on regression was developed and utilized throughout the study to identify, assess, and monitor transfer errors. The paper concludes with recommendations regarding automation of liquid-handling, which are applicable to a large set of applications (not just to complex liquids such as lycopene in DMSO or calibration curves).

摘要

液体处理是合成生物学中的一项基本操作——所有的方案都涉及一个或多个液体处理操作。因此,为了释放自动化的优势(例如,更高的通量、更高的可重复性),精心自动化这一步骤至关重要。在本文中,我们展示了一项在伦敦生物铸造厂的 SynbiCITE 进行的研究,该研究从构建二甲亚砜(DMSO)中番茄红素校准曲线的角度出发,探讨了液体处理及其可靠自动化的问题。该研究具有重要的实际工业应用(例如,番茄红素是一种具有工业价值的类胡萝卜素,DMSO 是一种流行的提取剂)。该研究也是液体处理自动化的有效试验台。它需要开发灵活的液体处理方法,这些方法可以推广到其他自动化应用中。此外,由于番茄红素/DMSO 是一种难混合的物质,它能够揭示自动化液体处理协议中的问题,并对其进行压力测试。研究的一个重要组成部分是,由于液体处理步骤无处不在,因此应将误差控制在高标准。重要的是要避免此类错误传播到协议的其他部分。为了实现这一点,在整个研究过程中,我们开发并利用了一个基于回归的实用框架来识别、评估和监测转移误差。本文最后提出了关于液体处理自动化的建议,这些建议适用于大量应用(不仅适用于复杂的液体,如 DMSO 中的番茄红素或校准曲线)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/17d3/11334188/7fbc5f1f285b/sb4c00031_0001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验