FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2794669682> ?p ?o ?g. }

• W2794669682 endingPage "148" @default.
• W2794669682 startingPage "141" @default.
• W2794669682 abstract "Increasingly medical diagnostic platforms rely upon the use of colloidal nanoparticles for the detection of biomolecules. Colloids offer greatly increased surface area to volume ratios and lack diffusion limitations that typically reduce reaction rates in assays employing planar surfaces. These characteristics are anticipated to improve the speed to answer as well as the total number of analytes that are captured in colloidal assay systems. This paper details a reaction-diffusion modeling approach to optimize colloidal affinity-based bioassays, with emphasis on the key figures of merit of projected sensitivities and time to answer over a broad range of conditions. The computational results illustrate the intuitive sense that colloidal sensing surfaces have improved kinetics as compared to solid supports, that the curvature of the spherical sensing surface probes a larger volume than a planar surface of the same area resulting in a larger diffusional driving force for reaction to the surface and equilibrium of bound analyte. The governing regime of particle systems skewed toward kinetically limited regimes and multiple configurations of particle diameter and concentration achieved equivalent analyte capture. Surface based sensor platforms have benefited from miniaturization of the capture area and particle capture systems provide a route to further surface miniaturization, as well as unique opportunities for the rapid analysis of dilute samples of particular interest for point-of-care (POC) diagnostics." @default.
• W2794669682 created "2018-04-06" @default.
• W2794669682 creator A5012710970 @default.
• W2794669682 creator A5023479642 @default.
• W2794669682 date "2018-07-01" @default.
• W2794669682 modified "2023-10-18" @default.
• W2794669682 title "Numerical modeling of analyte diffusion and adsorption behavior in microparticle and nanoparticle based biosensors" @default.
• W2794669682 cites W1967981870 @default.
• W2794669682 cites W1976650905 @default.
• W2794669682 cites W1989805347 @default.
• W2794669682 cites W1991070335 @default.
• W2794669682 cites W1994410917 @default.
• W2794669682 cites W1998490971 @default.
• W2794669682 cites W1998755062 @default.
• W2794669682 cites W1999173254 @default.
• W2794669682 cites W2005112256 @default.
• W2794669682 cites W2005996462 @default.
• W2794669682 cites W2006840757 @default.
• W2794669682 cites W2011414711 @default.
• W2794669682 cites W2028310736 @default.
• W2794669682 cites W2029934700 @default.
• W2794669682 cites W2032972108 @default.
• W2794669682 cites W2033194007 @default.
• W2794669682 cites W2033836116 @default.
• W2794669682 cites W2036932413 @default.
• W2794669682 cites W2039719273 @default.
• W2794669682 cites W2040352602 @default.
• W2794669682 cites W2047506964 @default.
• W2794669682 cites W2052489824 @default.
• W2794669682 cites W2056739276 @default.
• W2794669682 cites W2057317778 @default.
• W2794669682 cites W2062288737 @default.
• W2794669682 cites W2064561451 @default.
• W2794669682 cites W2071360188 @default.
• W2794669682 cites W2081343654 @default.
• W2794669682 cites W2087897259 @default.
• W2794669682 cites W2089387633 @default.
• W2794669682 cites W2115797520 @default.
• W2794669682 cites W2122501407 @default.
• W2794669682 cites W2130758886 @default.
• W2794669682 cites W2139289380 @default.
• W2794669682 cites W2144541036 @default.
• W2794669682 cites W2147638450 @default.
• W2794669682 cites W2149632285 @default.
• W2794669682 cites W2150605180 @default.
• W2794669682 cites W2155359971 @default.
• W2794669682 cites W2160870426 @default.
• W2794669682 cites W2161143622 @default.
• W2794669682 cites W2168864790 @default.
• W2794669682 cites W2241553685 @default.
• W2794669682 cites W2325317097 @default.
• W2794669682 cites W2330958503 @default.
• W2794669682 cites W2334426515 @default.
• W2794669682 doi "https://doi.org/10.1016/j.ces.2018.03.010" @default.
• W2794669682 hasPublicationYear "2018" @default.
• W2794669682 type Work @default.
• W2794669682 sameAs 2794669682 @default.
• W2794669682 citedByCount "9" @default.
• W2794669682 countsByYear W27946696822018 @default.
• W2794669682 countsByYear W27946696822020 @default.
• W2794669682 countsByYear W27946696822021 @default.
• W2794669682 countsByYear W27946696822022 @default.
• W2794669682 countsByYear W27946696822023 @default.
• W2794669682 crossrefType "journal-article" @default.
• W2794669682 hasAuthorship W2794669682A5012710970 @default.
• W2794669682 hasAuthorship W2794669682A5023479642 @default.
• W2794669682 hasConcept C10390740 @default.
• W2794669682 hasConcept C111368507 @default.
• W2794669682 hasConcept C121332964 @default.
• W2794669682 hasConcept C121684516 @default.
• W2794669682 hasConcept C127313418 @default.
• W2794669682 hasConcept C127413603 @default.
• W2794669682 hasConcept C134786449 @default.
• W2794669682 hasConcept C147789679 @default.
• W2794669682 hasConcept C150394285 @default.
• W2794669682 hasConcept C155672457 @default.
• W2794669682 hasConcept C159985019 @default.
• W2794669682 hasConcept C171250308 @default.
• W2794669682 hasConcept C185592680 @default.
• W2794669682 hasConcept C192562407 @default.
• W2794669682 hasConcept C204323151 @default.
• W2794669682 hasConcept C2777521759 @default.
• W2794669682 hasConcept C2778517922 @default.
• W2794669682 hasConcept C41008148 @default.
• W2794669682 hasConcept C42360764 @default.
• W2794669682 hasConcept C43617362 @default.
• W2794669682 hasConcept C57528182 @default.
• W2794669682 hasConcept C59789625 @default.
• W2794669682 hasConcept C69357855 @default.
• W2794669682 hasConcept C97355855 @default.
• W2794669682 hasConceptScore W2794669682C10390740 @default.
• W2794669682 hasConceptScore W2794669682C111368507 @default.
• W2794669682 hasConceptScore W2794669682C121332964 @default.
• W2794669682 hasConceptScore W2794669682C121684516 @default.
• W2794669682 hasConceptScore W2794669682C127313418 @default.
• W2794669682 hasConceptScore W2794669682C127413603 @default.
• W2794669682 hasConceptScore W2794669682C134786449 @default.
• W2794669682 hasConceptScore W2794669682C147789679 @default.

• next