Automated high-throughput protein purification using an ÄKTApurifier and a CETAC autosampler

化学 色谱法 吞吐量 下游(制造业) 自动化 样品(材料) 微流控 样品制备 可制造性设计 设计质量 可靠性(半导体) 一致性(知识库) 工艺工程 计算机科学 纳米技术 人工智能 经济 功率(物理) 物理化学 工程类 粒径 材料科学 物理 机械工程 无线 电信 量子力学 运营管理
作者
Daniel Yoo,Justin Provchy,Cynthia Park,Craig M. Schulz,Kenneth W. Walker
出处
期刊:Journal of Chromatography A [Elsevier BV]
卷期号:1344: 23-30 被引量:31
标识
DOI:10.1016/j.chroma.2014.04.014
摘要

As the pace of drug discovery accelerates there is an increased focus on screening larger numbers of protein therapeutic candidates to identify those that are functionally superior and to assess manufacturability earlier in the process. Although there have been advances toward high throughput (HT) cloning and expression, protein purification is still an area where improvements can be made to conventional techniques. Current methodologies for purification often involve a tradeoff between HT automation or capacity and quality. We present an ÄKTA combined with an autosampler, the ÄKTA-AS, which has the capability of purifying up to 240 samples in two chromatographic dimensions without the need for user intervention. The ÄKTA-AS has been shown to be reliable with sample volumes between 0.5 mL and 100 mL, and the innovative use of a uniquely configured loading valve ensures reliability by efficiently removing air from the system as well as preventing sample cross contamination. Incorporation of a sample pump flush minimizes sample loss and enables recoveries ranging from the low tens of micrograms to milligram quantities of protein. In addition, when used in an affinity capture-buffer exchange format the final samples are formulated in a buffer compatible with most assays without requirement of additional downstream processing. The system is designed to capture samples in 96-well microplate format allowing for seamless integration of downstream HT analytic processes such as microfluidic or HPLC analysis. Most notably, there is minimal operator intervention to operate this system, thereby increasing efficiency, sample consistency and reducing the risk of human error.
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