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Isotachophoresis applied to biomolecular reactions
Lab on a Chip ( IF 6.1 ) Pub Date : 2017-10-11 00:00:00 , DOI: 10.1039/c7lc00852j
C. Eid 1, 2, 3 , J. G. Santiago 1, 2, 3
Affiliation  

This review discusses research developments and applications of isotachophoresis (ITP) to the initiation, control, and acceleration of chemical reactions, emphasizing reactions involving biomolecular reactants such as nucleic acids, proteins, and live cells. ITP is a versatile technique which requires no specific geometric design or material, and is compatible with a wide range of microfluidic and automated platforms. Though ITP has traditionally been used as a purification and separation technique, recent years have seen its emergence as a method to automate and speed up chemical reactions. ITP has been used to demonstrate up to 14 000-fold acceleration of nucleic acid assays, and has been used to enhance lateral flow and other immunoassays, and even whole bacterial cell detection assays. We here classify these studies into two categories: homogeneous (all reactants in solution) and heterogeneous (at least one reactant immobilized on a solid surface) assay configurations. For each category, we review and describe physical modeling and scaling of ITP-aided reaction assays, and elucidate key principles in ITP assay design. We summarize experimental advances, and identify common threads and approaches which researchers have used to optimize assay performance. Lastly, we propose unaddressed challenges and opportunities that could further improve these applications of ITP.

中文翻译:

等速电泳技术应用于生物分子反应

这篇综述讨论了等速电泳(ITP)在化学反应的引发,控制和加速中的研究进展和应用,重点是涉及生物分子反应物(例如核酸,蛋白质和活细胞)的反应。ITP是一种通用技术,不需要特定的几何设计或材料,并且与各种微流体和自动化平台兼容。尽管传统上将ITP用作纯化和分离技术,但近年来已将其视为自动化和加速化学反应的一种方法。ITP已被用于证明核酸检测的加速高达14 000倍,并已被用于增强侧向流动和其他免疫检测,甚至整个细菌细胞检测检测。我们在这里将这些研究分为两类:均相(溶液中的所有反应物)和均相(至少一种固定在固体表面上的反应物)分析配置。对于每个类别,我们都会审查并描述ITP辅助反应测定的物理建模和扩展,并阐明ITP测定设计中的关键原则。我们总结了实验进展,并确定了研究人员用来优化测定性能的共同思路和方法。最后,我们提出了未解决的挑战和机遇,可以进一步改善ITP的这些应用。并确定研究人员用来优化分析性能的共同思路和方法。最后,我们提出了未解决的挑战和机遇,可以进一步改善ITP的这些应用。并确定研究人员用来优化分析性能的共同思路和方法。最后,我们提出了未解决的挑战和机遇,可以进一步改善ITP的这些应用。
更新日期:2017-10-11
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