关键词: Biofouling Cell adhesion Surface properties XDLVO theory

来  源:   DOI:10.1186/s40643-021-00382-6   PDF(Pubmed)

Abstract:
In integrated bioprocessing applications, expanded bed adsorption (EBA) chromatography presents an opportunity to harvest biomolecules directly from the crude feedstock. However, unfavorable biomass interactions with adsorbent usually leads to fouling, which reduces its protein binding capacity as it alters column hydrodynamics and binding site availability. In this work, a detailed study on biomass adhesion behavior of four different industrially relevant microorganisms on 26 different, most commonly occurring adsorbent surfaces with varying degrees of surface energy and surface charge has been conducted. The results showed the derivation of a relative \"stickiness\" factor for every microorganism, which further classifies each organism based on their general degree of adhesion to surfaces with respect to one another. The obtained results can help to better understand the effect of biomass homogenization on biomass-adsorbent interactions in EBA. The data of surface energy and charge for the surfaces investigated in this work can be used to calculate the stickiness factor of other microorganisms of interest and may assist in the development of novel adsorbent materials for EBA chromatography.
摘要:
在综合生物处理应用中,膨胀床吸附(EBA)色谱法提供了直接从粗原料中收获生物分子的机会。然而,不利的生物质与吸附剂的相互作用通常会导致结垢,这降低了它的蛋白质结合能力,因为它改变了柱的流体动力学和结合位点的可用性。在这项工作中,对四种不同工业相关微生物在26种不同微生物上的生物质粘附行为进行了详细研究,最常见的吸附剂表面具有不同程度的表面能和表面电荷已经进行。结果表明,每种微生物的相对“粘性”因子的推导,它根据每个生物体相对于彼此的表面的一般粘附程度进一步分类。获得的结果可以帮助更好地理解生物质均质化对EBA中生物质-吸附剂相互作用的影响。这项工作中研究的表面能和电荷数据可用于计算其他感兴趣的微生物的粘性因子,并可能有助于开发用于EBA色谱的新型吸附材料。
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