Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Universiteit van Ams...arrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
addClaim

Asymmetric flow field-flow fractionation of macromolecules of biological interest

Authors: Qureshi, R.N.;

Asymmetric flow field-flow fractionation of macromolecules of biological interest

Abstract

Field-Flow Fractionering (FFF) heeft zich ontwikkeld tot een veelbelovende scheidingstechniek met verschillende varianten in diverse toepassingsterreinen van de scheidingswetenschappen. Asymmetrische Flow FFF (FlFFF) is de meest populaire klasse van de FFF-familie. Het wordt gebruikt voor de scheiding en karakterisering van nano- tot microdeeltjes van diverse oorsprong. Dit eenvoudige en milde scheidingsprincipe is het meest geschikt voor fragiele macromoleculen die aanwezig zijn in biologische monsters. Hoewel asymmetrische FlFFF veelvuldig gebruikt wordt voor de karakterisering van eiwitten, virussen, DNA en cellen, moet de toepassing ervan voor de analyse van lichaamsvocht in klinische laboratoria nog worden onderzocht. Rashid Nazir Qureshi verkent asymmetrische F1FFF als analytisch instrument voor de analyse van (bio-)macromoleculen, in het bijzonder in klinisch perspectief en om te zien hoezeer de resultaten op basis van het gebruik ervan voordelig zijn in diagnostische studies van verschillende ziekten. Qureshi benutte verschillende benaderingen met betrekking tot asymmetrische F1FFF voorafgaand aan gerenommeerde scheidingstechnieken zoals vloeistof- en gaschromatografie, om extra inzicht te krijgen in (bio-)macromoleculen op basis van hun grootte. Hij richt zijn onderzoek op de analyse van menselijk serum, lipoproteïnen en de bijbehorende verbindingen, wat meer informatie zou kunnen opleveren voor de diagnose van coronaire hartziekten.

Country
Netherlands
Related Organizations
  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Related to Research communities