2022
DOI: 10.1016/j.jcoa.2022.100047
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Micro‐pillar array columns (µPAC): An efficient tool for comparing tissue and cultured cells of glioblastoma

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Cited by 9 publications
(4 citation statements)
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“…μPACs have, given their intrinsic suitability for miniaturization, found widespread use in the area of proteomics in the years that passed since their initial development. Next to this, μPACs have also already been frequently used in metabolomics to benefit from the large plate numbers offered by the longest μPACs. , …”
Section: Introductionmentioning
confidence: 99%
“…μPACs have, given their intrinsic suitability for miniaturization, found widespread use in the area of proteomics in the years that passed since their initial development. Next to this, μPACs have also already been frequently used in metabolomics to benefit from the large plate numbers offered by the longest μPACs. , …”
Section: Introductionmentioning
confidence: 99%
“…The same holds for the multi-capillary column with diffusive bridging concept recently introduced by Parmentier [18]. One other approach, based on using photolithography and plasma etching to produce silicon-based micro-pillar array columns has made it to commercialization in the area of nano-LC for proteomics [8,[19][20][21][22][23]. Although the induced order and the enlarged flow resistance of the micro-pillar array columns indeed lead to groundbreaking performances, these columns are silicon-based and currently offer a very limited choice of stationary phases.…”
Section: Introductionmentioning
confidence: 93%
“…μPACs are fabricated from silicon wafers using standard lithographic patterning and etching . Because of the difficulties to maintain a uniform interpillar distance when etching too deep (so-called aspect ratio problem), μPACs have a limited depth and are therefore in their current format most suited for nano- and microflow liquid chromatography. In this area, μPACs are now getting more and more widespread used in a broad variety of proteomics and metabolomics subdisciplines. Their miniaturized format also makes them inherently suited for single cell studies. , …”
Section: Introductionmentioning
confidence: 99%