Integrated Multidimensional Chromatography on preparative scale for Oligonucleotides Purification

化学 色谱法 寡核苷酸 比例(比率) 生物化学 DNA 物理 量子力学
作者
Chiara Nosengo,Desiree Bozza,Giulio Lievore,Sebastian Vogg,Martina Catani,Alberto Cavazzini,Thomas Müller‐Späth,Chiara De Luca,Simona Felletti
出处
期刊:Journal of Chromatography A [Elsevier BV]
卷期号:1737: 465440-465440
标识
DOI:10.1016/j.chroma.2024.465440
摘要

Therapeutic oligonucleotides represent a recent breakthrough in the pharmaceutical industry due to their ability to regulate gene expression with great specificity. This aspect allows treatment of a wide range of diseases. However, since oligonucleotides are used for therapeutic purposes, the Active Pharmaceutical Ingredient (API) must fulfill strict purity levels which require intensive purification steps. For oligonucleotides, and biomolecules in general, preparative liquid chromatography is the technique of choice to perform large scale purifications, typically in batch mode, i.e. using a single column. Specifically, since ONs are mainly large, hydrophilic and charged molecules, Anion Exchange chromatography (AEX) and Ion Pair Reversed Phase chromatography (IP-RP) are the preferred chromatographic modes for their downstream processing. Nevertheless, these approaches suffer from a purity-yield trade-off, and for this reason, more than one purification step is usually required. The two chromatographic modes can therefore be used consequently to remove different groups of impurities, thanks to their orthogonality. In this work, a multidimensional and orthogonal approach on a (semi)preparative scale, namely "Integrated Batch process", was applied for the purification of a single-stranded DNA oligonucleotide. This process combines two chromatographic steps without any hold step, operator intervention or sampling of the first step. The performance parameters of the Integrated Batch were compared to those obtained in the single batch runs under different experimental conditions (chromatographic mode, eluent systems), showing the potential of this integrated approach. This proof-of-concept study illustrates how this technique can considerably reduce overall production time and how it allows to increase the robustness and reproducibility of the method, since the process is highly automated.

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