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Fluid dynamics modeling for synchronizing surface plasmon resonance and quartz crystal microbalance as tools for biomolecular and targeted drug delivery studies

  • Tapani Viitala
  • , Huamin Liang
  • , Mayur Gupta
  • , Thomas Zwinger
  • , Marjo Yliperttula
  • , Alex Bunker*
  • *Tämän työn vastaava kirjoittaja

Tutkimustuotos: LehtiartikkeliArtikkeliTieteellinenvertaisarvioitu

22 Sitaatiot (Scopus)

Abstrakti

We have used computational fluid dynamics modeling (CFD) to synchronize the flow conditions in the flow channels of two complementary surface-sensitive characterization techniques: surface plasmon resonance (SPR) and quartz crystal microbalance (QCM). Since the footprint of the flow channels of the two devices is specified by their function, the flow behavior can only be varied either by altering the height of the flow channel, or altering the volumetric rate of flow (flow rate) through the channel. The relevant quantity that must be calibrated is the shear strain on the measurement surface (center and bottom) of the flow channel. Our CFD modeling shows that the flow behavior is in the Stokes flow regime. We were thus able to generate a scaling expression with parameters for flow rate and flow channel height for each of the two devices: f QCM=2.64f SPR(h QCM/h SPR) 2, where f QCM and f SPR are the flow rates in the SPR and QCM flow channels, respectively, and h QCM/h SPR is the ratio of the heights of the two channels. We demonstrate the success of our calibration procedure through the combined use of commercially available SPR and QCM flow channel devices on both a biomolecular interaction system of surface immobilized biotin and streptavidin and a targeted drug delivery model system of biotinylated liposomes interacting with a streptavidin functionalized surface.

AlkuperäiskieliEnglanti
Sivut251-259
Sivumäärä9
JulkaisuJournal of Colloid and Interface Science
Vuosikerta378
Numero1
DOI - pysyväislinkit
TilaJulkaistu - 15 heinäk. 2012
Julkaistu ulkoisestiKyllä
OKM-julkaisutyyppiA1 Julkaistu artikkeli, soviteltu

Rahoitus

We thank Jussi-Pekka Tuppurainen from Bionavis Ltd., and Niko Granqvist for valuable discussions during this study. Dr. Lasse Murtomäki, Teemu Laurila, and Terhi Laurila are acknowledged for their help with Comsol modeling. TV and HL acknowledge Academy of Finland for financial support (Grant Nos. 137053 and 140980). AB acknowledges support from CIMO.

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