Hydrodynamic size characterization of a self-emulsifying lipid pharmaceutical excipient by Taylor dispersion analysis with fluorescent detection

Chamieh, Joseph; Jannin, Vincent; Demarne, Frédéric; Cottet, Hervé

doi:10.1016/j.ijpharm.2016.09.016

Cited by 17 publications

(8 citation statements)

References 37 publications

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“…Sometimes, the R h,DLS /R h,TDA ratio [noted polydispersity index (PDI) hereafter] is given as an estimator of the size dispersity, as recently reported for the sizing of polydisperse microemulsions. 48,49 For instance, the PDI was much higher for Dextran T2000 (PDI = 2.16) than for pullulans (PDI between 1.1 and 1.2), which is in good agreement with the known lower dispersity in molar mass and size for these pullulans as compared to dextrans (Table 3 and refs 41,50 ). Moreover, glycogens exhibit also a high dispersity in molar mass and in size with PDI between 1.4 (phytoglycogen) and 2.1 (oyster glycogen).…”

Section: Macromoleculessupporting

confidence: 79%

“…Accordingly, the wider the size distribution, the higher the discrepancy between the TDA and DLS values of R h . Sometimes, the R h,DLS / R h,TDA ratio (noted PDI hereafter) is given as an estimator of the size dispersity, as recently reported for the sizing of polydisperse microemulsions 48,49 . For instance, the PDI was much higher for dextran T2000 (PDI=2.16) than for pullulans (PDI between 1.1 and 1.2) which is in good agreement with the known lower dispersity in molar mass and size for these pullulans as compared to dextrans (Table 3 and ref.…”

Section: Determination Of the Average Hydrodynamic Radiusmentioning

confidence: 99%

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Size-Based Characterization of Polysaccharides by Taylor Dispersion Analysis with Photochemical Oxidation or Backscattering Interferometry Detections

et al. 2019

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Taylor dispersion analysis (TDA) is a powerful sizing technique very well suited for (macro)molecules between angstrom and sub-micron (typically up to 200 nm). However, new detection modes are required for non UV-absorbing (macro)molecules such as most of the polysaccharides, including starches. In this work, two different detection modes were compared, backscattering interferometry (BSI) and UV-photooxidation detection (UV-POD). TDA-BSI measures the relative change of the refractive index (RI) between eluent and sample (water as eluent in this work), whereas TDA-UV-POD detects the UV-absorbing photooxidized products of polysaccharides/starches in a strong alkaline media (130 mM NaOH or 1 M KOH). TDA-UV-POD detection was evaluated for linearity and sensitivity at two wavelengths, 214 nm and 266 nm. The mass-average hydrodynamic radius (R h) obtained by TDA-BSI and TDA-UV-POD was found to be in excellent agreement, while higher average R h values were obtained by batch dynamic light scattering (DLS) in the same conditions, due to the higher sensitivity of DLS to large size solutes and aggregates. The hydrodynamic radius distributions obtained by TDA and DLS are intrinsically different but both techniques were found to be complementary, providing useful information on sample dispersity. Owing to the absence of the stationary phase, low sample consumption with straightforward sample preparation (no filtration), and no calibration, TDA is anticipated to become a method of choice for the size-based characterization of polysaccharides, including starches.

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Section: Macromoleculessupporting

confidence: 79%

Section: Determination Of the Average Hydrodynamic Radiusmentioning

confidence: 99%

Size-Based Characterization of Polysaccharides by Taylor Dispersion Analysis with Photochemical Oxidation or Backscattering Interferometry Detections

et al. 2019

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“…Second, the axial diffusion should be negligible compared to convection; i.e., the Peclet number P e = R c u / D should be higher than 40 for ε lower than 3%, where u is the linear velocity ,. In the case of the analysis of microemulsions, the capillary is filled with the desired microemulsion, and a small volume of the same microemulsion marked with a hydrophobic marker is injected to measure the diffusion coefficient of the droplets. − …”

Section: Materials and Methodsmentioning

confidence: 99%

Cosolvents in Self-Emulsifying Drug Delivery Systems (SEDDS): Do They Really Solve Our Solubility Problems?

et al. 2020

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The aim of this study was to investigate the fate and the impact of cosolvents in self-emulsifying drug delivery systems (SEDDS). Three different SEDDS comprising the cosolvents DMSO (F D ), ethanol (F E ), and benzyl alcohol (F BA ) as well as the corresponding formulations without these cosolvents (F D0 , F E0 , and F BA0 ) were developed. Mean droplet size, polydispersity index (PDI), ζ potential, stability, and emulsification time were determined. Cosolvent release studies were performed via the dialysis membrane method and Taylor dispersion analysis (TDA). Furthermore, the impact of cosolvent utilization on payloads in SEDDS was examined using quinine as a model drug. SEDDS with and without a cosolvent showed no significant differences in droplet size, PDI, and ζ potential. The emulsification time was 3-fold (F D0 ), 80-fold (F E0 ), and 7-fold (F BA0 ) longer due to the absence of the cosolvents. Release studies in demineralized water provided evidence for an immediate and complete release of DMSO, ethanol, and benzyl alcohol. TDA confirmed this result. Moreover, a 1.4-fold (F D ), 2.91-fold (F E ), and 2.17-fold (F BA ) improved payload of the model drug quinine in the selected SEDDS preconcentrates was observed that dropped after emulsification within 1–5 h due to drug precipitation. In parallel, the quinine concentrations decreased until reaching the same levels of the corresponding SEDDS without cosolvents. Due to the addition of hydrophilic cosolvents, the emulsifying properties of SEDDS are strongly improved. As hydrophilic cosolvents are immediately released from SEDDS during the emulsification process, however, their drug solubilizing properties in the resulting oily droplets are very limited.

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“…Chamieh et al used TDA to determine the size of micelles and microemulsions, [46][47][48] while Franzen et al used TDA to determine the size of PEGylated liposomal formulations. 42 Moreover, the size distribution of nano-objects can be derived from the experimental Taylorgram using Regularized Linear Inversion (CRLI) approach.…”

Section: Introductionmentioning

confidence: 99%

Size and Charge Characterization of Lipid Nanoparticles for mRNA Vaccines

et al. 2022

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Hydrodynamic size characterization of a self-emulsifying lipid pharmaceutical excipient by Taylor dispersion analysis with fluorescent detection

Cited by 17 publications

References 37 publications

Size-Based Characterization of Polysaccharides by Taylor Dispersion Analysis with Photochemical Oxidation or Backscattering Interferometry Detections

Size-Based Characterization of Polysaccharides by Taylor Dispersion Analysis with Photochemical Oxidation or Backscattering Interferometry Detections

Cosolvents in Self-Emulsifying Drug Delivery Systems (SEDDS): Do They Really Solve Our Solubility Problems?

Size and Charge Characterization of Lipid Nanoparticles for mRNA Vaccines

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