In Silico Multifactorial Modeling for Streamlined Development and Optimization of Two-Dimensional Liquid Chromatography-Reference-Cited by-同舟云学术

In Silico Multifactorial Modeling for Streamlined Development and Optimization of Two-Dimensional Liquid Chromatography

Published:2021-08-10 Issue:33 Volume:93 Page:11532-11539
ISSN:0003-2700
Container-title:Analytical Chemistry
language:en
Short-container-title:Anal. Chem.

Author:

Haidar Ahmad Imad A.¹^ORCID,Makey Devin M.¹²^ORCID,Wang Heather¹,Shchurik Vladimir¹,Singh Andrew N.¹,Stoll Dwight R.³^ORCID,Mangion Ian¹,Regalado Erik L.¹^ORCID

Affiliation:

1. Analytical Research and Development, MRL, Merck & Co., Inc., Rahway, New Jersey 07065, United States

2. Department of Chemistry, University of Michigan, Ann Arbor, Michigan 48109, United States

3. Department of Chemistry, Gustavus Adolphus College, Saint Peter, Minnesota 56082, United States

Funder

Agilent Technologies

Merck Research Laboratories

Publisher

American Chemical Society (ACS)

Subject

Analytical Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.analchem.1c01970

Reference31 articles.

1. Extending the limits of size exclusion chromatography: Simultaneous separation of free payloads and related species from antibody drug conjugates and their aggregates

2. Multiple heart-cutting two dimensional liquid chromatography mass spectrometry: Towards real time determination of related impurities of bio-pharmaceuticals in salt based separation methods

3. Fast and Automated Characterization of Antibody Variants with 4D HPLC/MS

4. Development of Comprehensive Online Two-Dimensional Liquid Chromatography/Mass Spectrometry Using Hydrophilic Interaction and Reversed-Phase Separations for Rapid and Deep Profiling of Therapeutic Antibodies

5. Evaluation of active solvent modulation to enhance two-dimensional liquid chromatography for target analysis in polymeric matrices

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