2014
DOI: 10.1002/ange.201410236
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High‐Resolution Single‐Molecule Fluorescence Imaging of Zeolite Aggregates within Real‐Life Fluid Catalytic Cracking Particles

Abstract: Fluid catalytic cracking (FCC) is a major process in oil refineries to produce gasoline and base chemicals from crude oil fractions. The spatial distribution and acidity of zeolite aggregates embedded within the 50-150 mm-sized FCC spheres heavily influence their catalytic performance. Singlemolecule fluorescence-based imaging methods, namely nanometer accuracy by stochastic chemical reactions (NASCA) and super-resolution optical fluctuation imaging (SOFI) were used to study the catalytic activity of sub-micro… Show more

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Cited by 35 publications
(24 citation statements)
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“…It is important to note that higher order autocorrelation and cross-correlation would improve the resolution even further, 15,20 to a range of ఙ ೣ √ < ߪ < ߪ ௫௬ where n is the order of the correlation, but require overcoming computational challenges (computation time and memory usage scale as the correlation order squared) 15 and have brightness/sampling artifacts that cause the pixel intensities to vary over a very large dynamic range (spatially highlighting bright areas and masking dim ones). 2,15 For proof-of- concept, we demonstrate here only 2 nd order autocorrelation and deconvolution analysis, similar to use of 2 nd order autocorrelation SOFI reported in the literature. 2 Super-resolution distributions of the diffusion dynamics are obtained from curve fitting analysis and image fusion.…”
Section: Results and Discussion Fcssofi Theory And Analysismentioning
confidence: 93%
See 2 more Smart Citations
“…It is important to note that higher order autocorrelation and cross-correlation would improve the resolution even further, 15,20 to a range of ఙ ೣ √ < ߪ < ߪ ௫௬ where n is the order of the correlation, but require overcoming computational challenges (computation time and memory usage scale as the correlation order squared) 15 and have brightness/sampling artifacts that cause the pixel intensities to vary over a very large dynamic range (spatially highlighting bright areas and masking dim ones). 2,15 For proof-of- concept, we demonstrate here only 2 nd order autocorrelation and deconvolution analysis, similar to use of 2 nd order autocorrelation SOFI reported in the literature. 2 Super-resolution distributions of the diffusion dynamics are obtained from curve fitting analysis and image fusion.…”
Section: Results and Discussion Fcssofi Theory And Analysismentioning
confidence: 93%
“…2,15 For proof-of- concept, we demonstrate here only 2 nd order autocorrelation and deconvolution analysis, similar to use of 2 nd order autocorrelation SOFI reported in the literature. 2 Super-resolution distributions of the diffusion dynamics are obtained from curve fitting analysis and image fusion. Using fitting models for Brownian diffusion reported in previous imaging extensions of FCS, 24, 25 the resulting diffusion coefficient at each pixel is spatially mapped (see Methods).…”
Section: Results and Discussion Fcssofi Theory And Analysismentioning
confidence: 93%
See 1 more Smart Citation
“…For example, SRM has been used to unveil the photophysical and electronic properties of devices made of conductive polymers 43 or perovskite 104 . SRM has had also a dramatic impact in the field of catalysis, in which single reactivity events have been probed with nanometric accuracy in catalytic reactors such as zeolites 84,[105][106][107][108][109] . Finally, SRM mild imaging conditions allow one to study biomaterials in situ, for example in cellular environments.…”
Section: [H1] Imaging Materials In Actionmentioning
confidence: 99%
“…For a precise understanding of the structurereactivity relationship of the nanocatalysts, it is highly desirable to study the surface reactions at single-molecule or singleparticle level in real time. Recently, the newly-developed technique of single-molecule nanocatalysis based on single-molecule fluorescence microscopy has been proved to be effective for this goal [12][13][14][15][16][17] and has been used extensively as a new tool to study the catalytic properties of heterogeneous nanocatalysts at single molecule or single particle level [12,[18][19][20][21][22][23][24][25][26][27][28][29].…”
Section: Introductionmentioning
confidence: 99%