2006
DOI: 10.1016/j.chroma.2005.12.037
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Pore size characterization of monolith for electrochromatography via atomic force microscopy studies in air and liquid phase

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Cited by 22 publications
(20 citation statements)
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“…Cabral et al [37] applied SEM and atomic force microscopy (AFM) for the characterization of the morphology of alkyl methacrylate monoliths. Using SEM imaging, compact structures of aggregates of nonporous microglobules were observed.…”
Section: Control Of Morphologymentioning
confidence: 99%
“…Cabral et al [37] applied SEM and atomic force microscopy (AFM) for the characterization of the morphology of alkyl methacrylate monoliths. Using SEM imaging, compact structures of aggregates of nonporous microglobules were observed.…”
Section: Control Of Morphologymentioning
confidence: 99%
“…AFM provides topographic images from which surface area, roughness, and pore size can be calculated. Cabral et al [86] characterized methacrylate-based monolith using tapping mode AFM. They found that the limit of sensitivity was related to the tip size that was in their case 10 nm.…”
Section: Characterization Of Monolithic Materialsmentioning
confidence: 99%
“…Numerous analytical methods and tools exist which provide a general understanding of the effects of chemistry on morphology. These methods include techniques such as scanning electron microscopy (SEM) [83], mercury intrusion porosimetry [84], high-resolution optical microscopy [85], atomic force microscopy (AFM) [86], as well as gas adsorption-desorption evaluated using BrunauerEmmet -Teller (BET) and Barrett -Joyner -Halenda (BJH) equations [87]. These methods are widely used for the characterization of polymer supports since morphology plays an important role in the separation processes.…”
Section: Characterization Of Monolithic Materialsmentioning
confidence: 99%
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“…[1,65,84] Atomic force microscopy (AFM) can also be applied under solvated conditions to image both macroporosity and mesoporosity ( Figure 4). [1,65,85] 2.2. Monoliths prepared by using ROMP…”
Section: Characterizationmentioning
confidence: 99%