FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4220714822> ?p ?o ?g. }

• W4220714822 endingPage "2105939" @default.
• W4220714822 startingPage "2105939" @default.
• W4220714822 abstract "The positioning and manipulation of large numbers of reagents in small aliquots are paramount to many fields in chemistry and the life sciences, such as combinatorial screening, enzyme activity assays, and point-of-care testing. Here, a capillary microfluidic architecture based on self-coalescence modules capable of storing thousands of dried reagent spots per square centimeter is reported, which can all be reconstituted independently without dispersion using a single pipetting step and ≤5 μL of a solution. A simple diffusion-based mathematical model is also provided to guide the spotting of reagents in this microfluidic architecture at the experimental design stage to enable either compartmentalization, mixing, or the generation of complex multi-reagent chemical patterns. Results demonstrate the formation of chemical patterns with high accuracy and versatility, and simple methods for integrating reagents and imaging the resulting chemical patterns." @default.
• W4220714822 created "2022-04-03" @default.
• W4220714822 creator A5013243928 @default.
• W4220714822 creator A5081129428 @default.
• W4220714822 creator A5082675293 @default.
• W4220714822 creator A5090604354 @default.
• W4220714822 date "2022-03-20" @default.
• W4220714822 modified "2023-09-27" @default.
• W4220714822 title "Large‐Scale Dried Reagent Reconstitution and Diffusion Control Using Microfluidic Self‐Coalescence Modules" @default.
• W4220714822 cites W1647597862 @default.
• W4220714822 cites W1964793873 @default.
• W4220714822 cites W1969435013 @default.
• W4220714822 cites W1970297152 @default.
• W4220714822 cites W1986170186 @default.
• W4220714822 cites W1988554258 @default.
• W4220714822 cites W1998263233 @default.
• W4220714822 cites W2000093090 @default.
• W4220714822 cites W2014510944 @default.
• W4220714822 cites W2016543247 @default.
• W4220714822 cites W2031415145 @default.
• W4220714822 cites W2041677432 @default.
• W4220714822 cites W2051300753 @default.
• W4220714822 cites W2058557544 @default.
• W4220714822 cites W2059939467 @default.
• W4220714822 cites W2070168562 @default.
• W4220714822 cites W2077266053 @default.
• W4220714822 cites W2090696701 @default.
• W4220714822 cites W2098999080 @default.
• W4220714822 cites W2117179092 @default.
• W4220714822 cites W2118131251 @default.
• W4220714822 cites W2141789961 @default.
• W4220714822 cites W2149881082 @default.
• W4220714822 cites W2595421984 @default.
• W4220714822 cites W2739537792 @default.
• W4220714822 cites W2757827200 @default.
• W4220714822 cites W2768290209 @default.
• W4220714822 cites W2795014519 @default.
• W4220714822 cites W2804410781 @default.
• W4220714822 cites W2805689428 @default.
• W4220714822 cites W2886141970 @default.
• W4220714822 cites W2979469686 @default.
• W4220714822 cites W3011891279 @default.
• W4220714822 cites W3031779452 @default.
• W4220714822 cites W3119719165 @default.
• W4220714822 cites W3134752697 @default.
• W4220714822 cites W3185672403 @default.
• W4220714822 doi "https://doi.org/10.1002/smll.202105939" @default.
• W4220714822 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/35307960" @default.
• W4220714822 hasPublicationYear "2022" @default.
• W4220714822 type Work @default.
• W4220714822 citedByCount "2" @default.
• W4220714822 countsByYear W42207148222022 @default.
• W4220714822 countsByYear W42207148222023 @default.
• W4220714822 crossrefType "journal-article" @default.
• W4220714822 hasAuthorship W4220714822A5013243928 @default.
• W4220714822 hasAuthorship W4220714822A5081129428 @default.
• W4220714822 hasAuthorship W4220714822A5082675293 @default.
• W4220714822 hasAuthorship W4220714822A5090604354 @default.
• W4220714822 hasConcept C121332964 @default.
• W4220714822 hasConcept C138777275 @default.
• W4220714822 hasConcept C149792144 @default.
• W4220714822 hasConcept C171250308 @default.
• W4220714822 hasConcept C178790620 @default.
• W4220714822 hasConcept C185592680 @default.
• W4220714822 hasConcept C186060115 @default.
• W4220714822 hasConcept C192562407 @default.
• W4220714822 hasConcept C40875361 @default.
• W4220714822 hasConcept C41008148 @default.
• W4220714822 hasConcept C62520636 @default.
• W4220714822 hasConcept C8673954 @default.
• W4220714822 hasConcept C86803240 @default.
• W4220714822 hasConcept C87355193 @default.
• W4220714822 hasConceptScore W4220714822C121332964 @default.
• W4220714822 hasConceptScore W4220714822C138777275 @default.
• W4220714822 hasConceptScore W4220714822C149792144 @default.
• W4220714822 hasConceptScore W4220714822C171250308 @default.
• W4220714822 hasConceptScore W4220714822C178790620 @default.
• W4220714822 hasConceptScore W4220714822C185592680 @default.
• W4220714822 hasConceptScore W4220714822C186060115 @default.
• W4220714822 hasConceptScore W4220714822C192562407 @default.
• W4220714822 hasConceptScore W4220714822C40875361 @default.
• W4220714822 hasConceptScore W4220714822C41008148 @default.
• W4220714822 hasConceptScore W4220714822C62520636 @default.
• W4220714822 hasConceptScore W4220714822C8673954 @default.
• W4220714822 hasConceptScore W4220714822C86803240 @default.
• W4220714822 hasConceptScore W4220714822C87355193 @default.
• W4220714822 hasIssue "16" @default.
• W4220714822 hasLocation W42207148221 @default.
• W4220714822 hasLocation W42207148222 @default.
• W4220714822 hasOpenAccess W4220714822 @default.
• W4220714822 hasPrimaryLocation W42207148221 @default.
• W4220714822 hasRelatedWork W2074621276 @default.
• W4220714822 hasRelatedWork W2145535646 @default.
• W4220714822 hasRelatedWork W2748952813 @default.
• W4220714822 hasRelatedWork W2899084033 @default.
• W4220714822 hasRelatedWork W2952256733 @default.
• W4220714822 hasRelatedWork W2952556931 @default.
• W4220714822 hasRelatedWork W2979469686 @default.

• next