γ-ray synthesis and size characterization of CdS quantum dot (QD) particles using flow and sedimentation field-flow fractionation (FFF)

Choi, Jun Kyun; Kwen, Hai Doo; Kim, Yeong Seok; Choi, Seong Ho; Lee, Seungho

doi:10.1016/j.microc.2014.06.002

Cited by 15 publications

(3 citation statements)

References 34 publications

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“…The choice of AF4 is due to its versatility and its fractionation range. The comparison of the two techniques shows that they give dimensional information in agreement [25,26].…”

Section: Involvement Of the Different Field-flow Fractionation Forcesmentioning

confidence: 82%

Field‐flow fractionation for nanoparticle characterization

Lespès

Pont

2021

J of Separation Science

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This review presents field-flow fractionation: The elements of theory enable the link between the retention and the characteristics of the nanometer-sized analytes to be highlighted. In particular, the nature of force and its way of being applied are discussed. Four types of forces which determine four types of techniques were considered: hydrodynamic, sedimentation, thermal, and electrical; this is to show the importance of the choice of technique in relation to the characterization objectives. Then the separation performance is presented and compared with other separation techniques: field-flow fractionation has the greatest intrinsic separation capability. The characterization strategies are presented and discussed; on the one hand with respect to the characteristics needed for the description of nanoparticles; on the other hand in connection with the choice of the nature of the force, and also of the detectors used, online or offline. The discussion is based on a selection of published study examples. Finally, current needs and challenges are addressed, and as response, trends and possible characterization solutions.

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“…The choice of AF4 is due to its versatility and its fractionation range. The comparison of the two techniques shows that they give dimensional information in agreement [25,26].…”

Section: Involvement Of the Different Field-flow Fractionation Forcesmentioning

confidence: 82%

Field‐flow fractionation for nanoparticle characterization

Lespès

Pont

2021

J of Separation Science

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“…In general, plots of log t r vs. log d are used as a calibration plot for size analysis by GrFFF and, in turn, for conversion of GrFFF fractograms to mass-based size distributions. Additionally, GrFFF-UV fractograms can be converted to number-based size distributions by the following equation [29, 30]:…”

Section: Theorymentioning

confidence: 99%

Fractionation and characterization of starch granules using field-flow fractionation (FFF) and differential scanning calorimetry (DSC)

et al. 2019

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Starch is one of the main carbohydrates in food; it is formed by two polysaccharides: amylose and amylopectin. The granule size of starch varies with different botanical origins and ranges from less than 1 μm to more than 100 μm. Some physicochemical and functional properties vary with the size of the granule, which makes it of great interest to find an efficient and accurate size-based separation method. In this study, the full-feed depletion mode of split-flow thin cell fractionation (FFD-SF) was employed for a size-based fractionation of two types of starch granules (corn and potato) on a large scale. The fractionation efficiency (FE) of fraction-a for corn and potato granules was 98.4 and 99.4%, respectively. The FFD-SF fractions were analyzed using optical microscopy (OM) and gravitational field-flow fractionation (GrFFF). The respective size distribution results were in close agreement for the corn starch fractions, while they were slightly different for the potato starch fractions. The thermal properties of FFD-SF fractions were analyzed, and the results for the potato starch showed that the peak temperature of gelatinization (T p) slightly decreases as the size of the granules increases. Additionally, the enthalpy of gelatinization (ΔH) increases when the granule size increases and shows negative correlation with the gelatinization range (ΔT).

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“…The scalings α 1 = 1 and α 2 = 3 used above are physically motivated, as they belong to experimentally-demonstrated sub-techniques of FFF. Flow-FFF [37,39,66,67], thermal-FFF [41,68,69] and electrical-FFF [27,70,71] each have a force that scales as α i = 1, while sedimentation-FFF [25,72] (including gravitational-FFF [23,73]) is the most obvious commonly-used technique with α i = 3. External forces with scaling of α i = 2 are not commonly utilized by FFF apparatuses.…”

Section: Adverse-mode: Retention Ratio Peakmentioning

confidence: 99%

Adverse-Mode FFF: Multi-Force Ideal Retention Theory

Shendruk¹,

Slater

2015

Chromatography

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A novel field-flow fractionation (FFF) technique, in which two opposing external forces act on the solute particles, is proposed. When the two external forces are sufficiently strong and scale differently as a function of the solutes' property of interest (such as the solute particle size), a sharp peak in the retention ratio (dramatic drop in elution time) is predicted to exist. Because the external forces oppose one another, we refer to this novel technique as adverse-mode FFF. The location of this peak is theoretically predicted and its ideal width estimated. The peak can become quite sharp by simultaneously increasing the strength of both fields, suggesting that adverse-mode FFF could be a useful technique for accurately measuring single species solute size.

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γ-ray synthesis and size characterization of CdS quantum dot (QD) particles using flow and sedimentation field-flow fractionation (FFF)

Cited by 15 publications

References 34 publications

Field‐flow fractionation for nanoparticle characterization

Field‐flow fractionation for nanoparticle characterization

Fractionation and characterization of starch granules using field-flow fractionation (FFF) and differential scanning calorimetry (DSC)

Adverse-Mode FFF: Multi-Force Ideal Retention Theory

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