Matches in SemOpenAlex for { <https://semopenalex.org/work/W4214744892> ?p ?o ?g. }
- W4214744892 endingPage "4071" @default.
- W4214744892 startingPage "4065" @default.
- W4214744892 abstract "Tandem column liquid chromatography (LC) is a convenient, cost-effective approach to resolve multicomponent mixtures by serially coupling columns on readily available one-dimensional separation systems without specialized user training. Yet, adoption of this technique remains limited, mainly due to the difficulty in identifying optimal selectivity out of many possible tandem column combinations. At this point, method development and optimization require laborious hit-or-miss experimentation and blind screening when investigating different column selectivity without standard analytes. As a result, many chromatography practitioners end up combining two columns of similar selectivity, limiting the scope and potential of tandem column LC as a mainstay for industrial applications. To circumvent this challenge, we herein introduce a straightforward in silico multifactorial approach as a framework to expediently map the separation landscape across multiple tandem columns (achiral and chiral) and eluent combinations (isocratic and gradient elution) under reversed-phase LC conditions. Retention models were built using commercially available LC simulator software showcasing less than 2% difference between experimental and simulated retention times for analytes of interest in multicomponent pharmaceutical mixtures (e.g., metabolites and cyclic peptides)." @default.
- W4214744892 created "2022-03-02" @default.
- W4214744892 creator A5008916264 @default.
- W4214744892 creator A5012099160 @default.
- W4214744892 creator A5023264481 @default.
- W4214744892 creator A5032971187 @default.
- W4214744892 creator A5033189215 @default.
- W4214744892 creator A5047087325 @default.
- W4214744892 creator A5070200797 @default.
- W4214744892 creator A5081064710 @default.
- W4214744892 creator A5086510561 @default.
- W4214744892 date "2022-02-24" @default.
- W4214744892 modified "2023-10-12" @default.
- W4214744892 title "<i>In Silico</i> Method Development of Achiral and Chiral Tandem Column Reversed-phase Liquid Chromatography for Multicomponent Pharmaceutical Mixtures" @default.
- W4214744892 cites W1965469047 @default.
- W4214744892 cites W1968777632 @default.
- W4214744892 cites W2008544176 @default.
- W4214744892 cites W2008840494 @default.
- W4214744892 cites W2014301848 @default.
- W4214744892 cites W2021261125 @default.
- W4214744892 cites W2024553023 @default.
- W4214744892 cites W2024686154 @default.
- W4214744892 cites W2034891194 @default.
- W4214744892 cites W2057823493 @default.
- W4214744892 cites W2062179314 @default.
- W4214744892 cites W2091592855 @default.
- W4214744892 cites W2092128755 @default.
- W4214744892 cites W2094154734 @default.
- W4214744892 cites W2156124773 @default.
- W4214744892 cites W2253744450 @default.
- W4214744892 cites W2316402038 @default.
- W4214744892 cites W2318153681 @default.
- W4214744892 cites W2402445451 @default.
- W4214744892 cites W2557871119 @default.
- W4214744892 cites W2615234129 @default.
- W4214744892 cites W2724458101 @default.
- W4214744892 cites W2737887524 @default.
- W4214744892 cites W2777564097 @default.
- W4214744892 cites W2781963968 @default.
- W4214744892 cites W2808448857 @default.
- W4214744892 cites W2886855835 @default.
- W4214744892 cites W2899285383 @default.
- W4214744892 cites W2899836869 @default.
- W4214744892 cites W2904264721 @default.
- W4214744892 cites W2915373282 @default.
- W4214744892 cites W2950357364 @default.
- W4214744892 cites W2957904734 @default.
- W4214744892 cites W2975249145 @default.
- W4214744892 cites W2975788732 @default.
- W4214744892 cites W2982490038 @default.
- W4214744892 cites W2999390020 @default.
- W4214744892 cites W3046752062 @default.
- W4214744892 cites W3110691960 @default.
- W4214744892 cites W3130952246 @default.
- W4214744892 cites W3132049223 @default.
- W4214744892 cites W3154623034 @default.
- W4214744892 cites W3188618288 @default.
- W4214744892 cites W4210826848 @default.
- W4214744892 doi "https://doi.org/10.1021/acs.analchem.1c05551" @default.
- W4214744892 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/35199987" @default.
- W4214744892 hasPublicationYear "2022" @default.
- W4214744892 type Work @default.
- W4214744892 citedByCount "10" @default.
- W4214744892 countsByYear W42147448922022 @default.
- W4214744892 countsByYear W42147448922023 @default.
- W4214744892 crossrefType "journal-article" @default.
- W4214744892 hasAuthorship W4214744892A5008916264 @default.
- W4214744892 hasAuthorship W4214744892A5012099160 @default.
- W4214744892 hasAuthorship W4214744892A5023264481 @default.
- W4214744892 hasAuthorship W4214744892A5032971187 @default.
- W4214744892 hasAuthorship W4214744892A5033189215 @default.
- W4214744892 hasAuthorship W4214744892A5047087325 @default.
- W4214744892 hasAuthorship W4214744892A5070200797 @default.
- W4214744892 hasAuthorship W4214744892A5081064710 @default.
- W4214744892 hasAuthorship W4214744892A5086510561 @default.
- W4214744892 hasConcept C10390740 @default.
- W4214744892 hasConcept C104317684 @default.
- W4214744892 hasConcept C116817701 @default.
- W4214744892 hasConcept C118792377 @default.
- W4214744892 hasConcept C126042441 @default.
- W4214744892 hasConcept C159985019 @default.
- W4214744892 hasConcept C161790260 @default.
- W4214744892 hasConcept C162356407 @default.
- W4214744892 hasConcept C178790620 @default.
- W4214744892 hasConcept C179998833 @default.
- W4214744892 hasConcept C185592680 @default.
- W4214744892 hasConcept C192562407 @default.
- W4214744892 hasConcept C2775905019 @default.
- W4214744892 hasConcept C2777814067 @default.
- W4214744892 hasConcept C2780551164 @default.
- W4214744892 hasConcept C3017686574 @default.
- W4214744892 hasConcept C31827203 @default.
- W4214744892 hasConcept C41008148 @default.
- W4214744892 hasConcept C43617362 @default.
- W4214744892 hasConcept C45188465 @default.
- W4214744892 hasConcept C51724486 @default.
- W4214744892 hasConcept C55493867 @default.
- W4214744892 hasConcept C73826308 @default.