Extensive database of liquid phase diffusion coefficients of some frequently used test molecules in reversed-phase liquid chromatography and hydrophilic interaction liquid chromatography

Song, Heping; Vanderheyden, Yoachim; Adams, Erwin; Desmet, Gert; Cabooter, Deirdre

doi:10.1016/j.chroma.2016.05.054

Cited by 38 publications

(27 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A series of reference compounds were analysed to further validate the experimental set up. The values obtained for toluene (9.06 × 10 −10 m 2 /s), ascorbic acid (8.68 × 10 −10 m 2 /s), phenol (1.05 × 10 −9 m 2 /s) and thiourea (1.40 × 10 −9 m 2 /s) were consistent with reported data . Having demonstrated the validity of the experimental set‐up, phytocannabinoid D m values were calculated as a function of temperature (30, 40, 50°C).…”

Section: Resultssupporting

confidence: 86%

“…The observed range 0.854–0.912 × 10 −9 m 2 /s at 50°C (Tables and S2), while narrow, was reasonable when the structural similarity of all the phytocannabinoids was considered. The absolute phytocannabinoid D m values reported herein are consistent with recently published D m values for reference compounds with analogous lipophilicity and size . Having these physical constants will facilitate future expansion of the developed method to include additional phytocannabinoids, or potentially synthetic cannabinoids.…”

Section: Resultssupporting

confidence: 86%

“…To calculate the reduced linear velocity, it was necessary to know the phytocannabinoid bulk diffusion coefficients ( D m ; Table , Table S2). The D m values were calculated using the Taylor–Aris open tubular method summarised by Song et al . Since the capillary dimensions used in the present study were different than Song et al ., the contributions of axial diffusion (equations –) and radial concentration equilibration (equation ) to the observed band‐broadening were evaluated:

σ_{normalt, diff}^{2} ≪ σ_{normalt, Taylor - Aris}^{2}

σ_{normalt, diff}^{2} = \frac{2 \times D_{m} \times t_{r}}{u^{2}}

σ_{normalt, Taylor - Aris}^{2} = {(\frac{FWHM}{2.35})}^{2}

L ≫ \frac{d_{t}^{2} \times u}{60 \times D_{m}}

with

σ_{normalt, diff}^{2}

the peak variance due to axial diffusion,

σ_{normalt, Taylor - Aris}^{2}

the standard Gaussian peak variance, t r the retention time of the solute in the open tubular capillary, u the linear velocity, L the length and

d_{t}^{2}

the diameter of the capillary.…”

Section: Resultssupporting

confidence: 84%

“…Bulk molecular diffusion coefficients ( D m values) were calculated at 30, 40 and 50°C (depending on the column and UPLC used, Table ) with the open tubular method described by Song et al . using equation :

D_{m} = \frac{d_{t}^{2} \times t}{96 \times σ_{t}^{2}}

where d t is the capillary tube diameter, t is the residence time in the capillary and σ t is the chromatographic peak variance (Table S2).…”

Section: Methodsmentioning

confidence: 99%

“…Bulk molecular diffusion coefficients (D m values) were calculated at 30, 40 and 50°C (depending on the column and UPLC used, Table 1) with the open tubular method described by Song et al 19 using equation 2:…”

Section: Column Metricsmentioning

confidence: 99%

See 4 more Smart Citations

Chromatographic characterisation of 11 phytocannabinoids: Quantitative and fit‐to‐purpose performance as a function of extra‐column variance

Noestheden

Friedlander²,

Anspach³

et al. 2018

Phytochemical Analysis

View full text Add to dashboard Cite

show abstract

Section: Resultssupporting

confidence: 86%

Section: Resultssupporting

confidence: 86%

σ_{normalt, diff}^{2} ≪ σ_{normalt, Taylor - Aris}^{2}

σ_{normalt, diff}^{2} = \frac{2 \times D_{m} \times t_{r}}{u^{2}}

σ_{normalt, Taylor - Aris}^{2} = {(\frac{FWHM}{2.35})}^{2}

L ≫ \frac{d_{t}^{2} \times u}{60 \times D_{m}}

with

σ_{normalt, diff}^{2}

the peak variance due to axial diffusion,

σ_{normalt, Taylor - Aris}^{2}

the standard Gaussian peak variance, t r the retention time of the solute in the open tubular capillary, u the linear velocity, L the length and

d_{t}^{2}

the diameter of the capillary.…”

Section: Resultssupporting

confidence: 84%

D_{m} = \frac{d_{t}^{2} \times t}{96 \times σ_{t}^{2}}

where d t is the capillary tube diameter, t is the residence time in the capillary and σ t is the chromatographic peak variance (Table S2).…”

Section: Methodsmentioning

confidence: 99%

Section: Column Metricsmentioning

confidence: 99%

See 3 more Smart Citations

Chromatographic characterisation of 11 phytocannabinoids: Quantitative and fit‐to‐purpose performance as a function of extra‐column variance

Noestheden

Friedlander²,

Anspach³

et al. 2018

Phytochemical Analysis

View full text Add to dashboard Cite

show abstract

Microfluidic Precision Manufacture of High Performance Liquid Chromatographic Microspheres

Sun,

Zeng,

Liu

et al. 2024

Angewandte Chemie

View full text Add to dashboard Cite

A key bottleneck in developing chromatographic material is the chemically entangled control of morphology, pore structure, and material chemistry, which holds back precision material manufacture in order to pursue advanced separation performance. In this work, a precision manufacture strategy based on droplet microfluidics was developed, for production of highly efficient chromatographic microspheres with independent control over particle morphology, pore structure and material chemistry. The droplet‐synthesized microspheres display extremely narrow particle size distribution (CV<3%), enabling a 100% production yield due to complete elimination of sieving steps. More importantly, the size of the droplet‐synthesized microspheres is freely adjustable without the need for re‐optimizing chemical recipes or reaction conditions. The resulting materials exhibit excellent separation efficiencies, achieving a reduced plate height of hmin=1.67. This precision manufacture strategy also allows for flexible pore design and continuous pore size adjustment across three orders of magnitudes, providing a novel vehicle for resolution fine‐tuning targeting protein separation. Besides traditional silica, organic‐inorganic hybrid silica, zirconia, and titania microspheres can also be precisely synthesized on the same platform, supporting various separation applications and operating conditions. Powered by precision manufacture, super‐throughput production, and versatile chemistry, the high‐performance droplet‐synthesized separation material will pave the way towards green and precision chromatographic industry.

show abstract

Microfluidic Precision Manufacture of High Performance Liquid Chromatographic Microspheres

Sun,

Zeng,

Liu

et al. 2024

Angew Chem Int Ed

View full text Add to dashboard Cite

show abstract

Extensive database of liquid phase diffusion coefficients of some frequently used test molecules in reversed-phase liquid chromatography and hydrophilic interaction liquid chromatography

Cited by 38 publications

References 36 publications

Chromatographic characterisation of 11 phytocannabinoids: Quantitative and fit‐to‐purpose performance as a function of extra‐column variance

Chromatographic characterisation of 11 phytocannabinoids: Quantitative and fit‐to‐purpose performance as a function of extra‐column variance

Microfluidic Precision Manufacture of High Performance Liquid Chromatographic Microspheres

Microfluidic Precision Manufacture of High Performance Liquid Chromatographic Microspheres

Contact Info

Product

Resources

About