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Ying Hou

Researcher at Rensselaer Polytechnic Institute

Publications -  10
Citations -  549

Ying Hou is an academic researcher from Rensselaer Polytechnic Institute. The author has contributed to research in topics: Ion chromatography & Elution. The author has an hindex of 10, co-authored 10 publications receiving 493 citations. Previous affiliations of Ying Hou include Clarkson University & Merck & Co..

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Experimental Measurement of the Solubility and Diffusivity of CO2 in Room-Temperature Ionic Liquids Using a Transient Thin-Liquid-Film Method

TL;DR: In this paper, results from an experimental investigation of carbon dioxide (CO2) solubility and diffusivity in the ionic liquids 1-n-butyl-3-methylimidazolium bis(trifluoromethylsulfonyl)imide ([b]
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Evaluation of selectivity in multimodal anion exchange systems: a priori prediction of protein retention and examination of mobile phase modifier effects.

TL;DR: Mobile phase modifiers such as ethylene glycol, urea and arginine were shown to be able to impart unique selectivity trends in multimodal chromatography.
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Investigation of protein binding affinity in multimodal chromatographic systems using a homologous protein library.

TL;DR: A library of cold shock protein B mutant variants was employed to examine differences in protein binding behavior in ion exchange and multimodal chromatography, providing an improved understanding of protein behavior in multi-modal chromatographic systems.
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Advective hydrogel membrane chromatography for monoclonal antibody purification in bioprocessing.

TL;DR: The potential of using Natrix weak cation exchange membrane as a mAb capture step is assessed and a proposed protein A free mAb purification process platform could meet the demand of a downstream purifying process with high purity, yield, and throughput.
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Improved process analytical technology for protein a chromatography using predictive principal component analysis tools

TL;DR: A method is developed to carry out detection of column integrity failures before their occurrence without the need for a separate integrity test, and PCA‐based models are developed to predict both subtle and general trends in real‐time protein A column yield decay.