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af4 mals a postnova asymmetrical flow field flow fractionation  (Postnova Analytics)

 
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    Postnova Analytics af4 mals a postnova asymmetrical flow field flow fractionation
    Af4 Mals A Postnova Asymmetrical Flow Field Flow Fractionation, supplied by Postnova Analytics, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    Image Search Results


    FI-AF4-MD of Poly­(A) LNP formulations. MALS-90° elution profiles with FWHM-integrated radius of gyration and hydrodynamic radii for (A) A-LNPs, (B) B-LNPs, and (C) C-LNPs ( n = 3 ± SD). Cumulative distributions for (D) radius of gyration, (E) hydrodynamic radius, and (F) shape factor ( n = 3), with respective 10, 50, and 90 distributional values for (G) radius of gyration, (H) hydrodynamic radius, and (I) shape factor for A-LNPs, B-LNPs and C-LNPs ( n = 3 ± SD).

    Journal: Molecular Pharmaceutics

    Article Title: The Use of Enhanced Analytical Pipelines for the Characterization of Poly(A) and Poly(A)-LNP Formulation Critical Quality Attributes

    doi: 10.1021/acs.molpharmaceut.5c00614

    Figure Lengend Snippet: FI-AF4-MD of Poly­(A) LNP formulations. MALS-90° elution profiles with FWHM-integrated radius of gyration and hydrodynamic radii for (A) A-LNPs, (B) B-LNPs, and (C) C-LNPs ( n = 3 ± SD). Cumulative distributions for (D) radius of gyration, (E) hydrodynamic radius, and (F) shape factor ( n = 3), with respective 10, 50, and 90 distributional values for (G) radius of gyration, (H) hydrodynamic radius, and (I) shape factor for A-LNPs, B-LNPs and C-LNPs ( n = 3 ± SD).

    Article Snippet: Analytical SEC (aSEC) was performed on the AF2000 Asymmetric-Flow Field-Flow Fractionation (AF4) module (Postnova Analytics, Germany), hyphenated with multiple inline detectors (as per ), using a TOSOH TSKgel UP-SW2000 column (300 × 4.6 mm, 2 μm) and 1× PBS pH 7.4 isocratic mobile phase with a corresponding flow rate of 0.2 mL/min and equivalent injection concentration to that in .

    Techniques:

    Impact of LNP composition on stability, dispersity and overall size. (A1): Dynamic light scattering (DLS) in batch determined intensity-based particle size (diameter) of various LNP composition formulations as a function of time over 18 months confirms stability at 4°C. (A2): Polydispersity index (PDI) of various LNP composition formulations as a function of time, determined using DLS. (A3): Zeta (ζ) potential values for the various LNP formulations. (B1): AF4-MD analysis of the size distribution of LNP without drug incorporation (LNP 5 ) and with drug incorporation (LNP 5 -Q and LNP 5 -DHA) are compared. (B2): AF4-MD based comparison of two LNP formulations with the same polysorbate 40 surfactant, but different cores. LNP 1 -T40, contains a mixture of carnauba wax and red palm oil, whereas LNP 1 -CW-T40, consist only of a carnauba wax core. (B3): AF4-MD based comparison of two LNP formulations with the same TPGS surfactant, but different lipid cores. LNP 1 -TPGS, contains a mixture of carnauba wax and red palm oil, whereas LNP 1 -CW-TPGS, consist only of a carnauba wax core. (C1): AF4-MD based evaluation of the average R h and R g for different LNP composition formulations after separation. (C2): The Guinier plot from SAXS in batch evaluate the global R g for four different concentrations of LNP 1 -CW-TPGS in water. (C3): The Guinier plot from SAXS in batch evaluate the global R g for four different concentrations of LNP 5 in water.

    Journal: bioRxiv

    Article Title: Disc-Toroid Hybrid Lipid Nanoparticles for Efficient Drug Encapsulation and Subcutaneous Delivery

    doi: 10.1101/2025.07.20.665764

    Figure Lengend Snippet: Impact of LNP composition on stability, dispersity and overall size. (A1): Dynamic light scattering (DLS) in batch determined intensity-based particle size (diameter) of various LNP composition formulations as a function of time over 18 months confirms stability at 4°C. (A2): Polydispersity index (PDI) of various LNP composition formulations as a function of time, determined using DLS. (A3): Zeta (ζ) potential values for the various LNP formulations. (B1): AF4-MD analysis of the size distribution of LNP without drug incorporation (LNP 5 ) and with drug incorporation (LNP 5 -Q and LNP 5 -DHA) are compared. (B2): AF4-MD based comparison of two LNP formulations with the same polysorbate 40 surfactant, but different cores. LNP 1 -T40, contains a mixture of carnauba wax and red palm oil, whereas LNP 1 -CW-T40, consist only of a carnauba wax core. (B3): AF4-MD based comparison of two LNP formulations with the same TPGS surfactant, but different lipid cores. LNP 1 -TPGS, contains a mixture of carnauba wax and red palm oil, whereas LNP 1 -CW-TPGS, consist only of a carnauba wax core. (C1): AF4-MD based evaluation of the average R h and R g for different LNP composition formulations after separation. (C2): The Guinier plot from SAXS in batch evaluate the global R g for four different concentrations of LNP 1 -CW-TPGS in water. (C3): The Guinier plot from SAXS in batch evaluate the global R g for four different concentrations of LNP 5 in water.

    Article Snippet: AF4 measurements were performed with an Eclipse Neon Asymmetric flow field-flow fractionation (AF4) system (Wyatt Technologies Corp., Germany).

    Techniques: Comparison

    Shape and internal composition evaluation. ( A1 ) Cryo-TEM image of LNP5 (Unloaded LNP with carnauba wax and red palm oil as lipid core, with both TPGS and Polysorbate 40 as surfactants), ( A1.1 ) the average mean particle size distribution, and ( A1.2 ) the average particle thickness distribution. ( A2 ) Zoomed in cryo-TEM image of LNP1-CW-TPGS (Unloaded LNP with carnauba wax only lipid core and TPGS as surfactant) to provide a clearer view of the observed shape. ( B ) Shape parameter Rg/Rh determined at peak height for the various compositions of LNP formulation using AF4-MD shows values corresponding to spherical shapes. ( C ): WAXS plots of LNP5, LNP5-Q, LNP5-DHA and LNP1-CW-TPGS. ( D ) SAXS data and modelling by a core-shell bicelle for LNP1-CW-TPGS in water at a concentration of 11.02 mg.mL-1 based on lipid fraction. The geometry parameters correspond to the values described in the sketch under (E) with D = 37 nm; d = 9 nm; h = 10 nm; H = 17 nm; m = 3.5 nm. For the calculation, the SLD for water (core) and lipid (internal toroid) were applied. ( E ) Schematic representation of the particle shape corresponding to a disk-toroid hybrid based on structural insights gained from the experimental data using cryo-TEM and SAXS: the internal lipid toroid is stabilised by a monolayer of surfactant while the water core is stabilised by a double layer of surfactant at the interface between the core and aqueous particle environment.

    Journal: bioRxiv

    Article Title: Disc-Toroid Hybrid Lipid Nanoparticles for Efficient Drug Encapsulation and Subcutaneous Delivery

    doi: 10.1101/2025.07.20.665764

    Figure Lengend Snippet: Shape and internal composition evaluation. ( A1 ) Cryo-TEM image of LNP5 (Unloaded LNP with carnauba wax and red palm oil as lipid core, with both TPGS and Polysorbate 40 as surfactants), ( A1.1 ) the average mean particle size distribution, and ( A1.2 ) the average particle thickness distribution. ( A2 ) Zoomed in cryo-TEM image of LNP1-CW-TPGS (Unloaded LNP with carnauba wax only lipid core and TPGS as surfactant) to provide a clearer view of the observed shape. ( B ) Shape parameter Rg/Rh determined at peak height for the various compositions of LNP formulation using AF4-MD shows values corresponding to spherical shapes. ( C ): WAXS plots of LNP5, LNP5-Q, LNP5-DHA and LNP1-CW-TPGS. ( D ) SAXS data and modelling by a core-shell bicelle for LNP1-CW-TPGS in water at a concentration of 11.02 mg.mL-1 based on lipid fraction. The geometry parameters correspond to the values described in the sketch under (E) with D = 37 nm; d = 9 nm; h = 10 nm; H = 17 nm; m = 3.5 nm. For the calculation, the SLD for water (core) and lipid (internal toroid) were applied. ( E ) Schematic representation of the particle shape corresponding to a disk-toroid hybrid based on structural insights gained from the experimental data using cryo-TEM and SAXS: the internal lipid toroid is stabilised by a monolayer of surfactant while the water core is stabilised by a double layer of surfactant at the interface between the core and aqueous particle environment.

    Article Snippet: AF4 measurements were performed with an Eclipse Neon Asymmetric flow field-flow fractionation (AF4) system (Wyatt Technologies Corp., Germany).

    Techniques: Formulation, Concentration Assay

    Drug encapsulation and quantification. ( A ) A schematic representation illustrating two alternative approaches for the indirect determination of the encapsulation efficiency of LNP, using AF4 coupled to either a UV-Vis detector or a fluorescence detector. A collection of small drug molecules filtered through the membrane of the AF4 channel is quantified using a pre-calibrated UV-Vis detector. The large drug-loaded particles separated along the channel are detected using the fluorescence detector. ( B1 ) Elution profile showing the UV-Vis signal of quinine, with the cross-flow coupled to the UV-Vis detector. Wavelength set at 250 nm. ( B2 ) The calibration curve is generated by injecting several concentrations of quinine, enabling the quantification of quinine present in the cross-flow waste. Wavelength set at 250 nm. ( B3 ) Elution profile showing the UV-Vis signal of LNP5 and LNP5-Q, respectively. The cross-flow is coupled to the UV-Vis detector, set to a wavelength of 250 nm. C1) and C2) Fluorescence detection of the LNPs shows that the quinine is located in the particle due to increased intensity of the fluorescence signal at the same elution volume as the particle. The concentration of the particles is kept the same; thus, the increasing absorption intensity and broader absorption wavelength after excitation at 250 and 350 nm are the result of the quinine in the loaded LNP5-Q-B4 compared to the pure LNP5-WS-B4.

    Journal: bioRxiv

    Article Title: Disc-Toroid Hybrid Lipid Nanoparticles for Efficient Drug Encapsulation and Subcutaneous Delivery

    doi: 10.1101/2025.07.20.665764

    Figure Lengend Snippet: Drug encapsulation and quantification. ( A ) A schematic representation illustrating two alternative approaches for the indirect determination of the encapsulation efficiency of LNP, using AF4 coupled to either a UV-Vis detector or a fluorescence detector. A collection of small drug molecules filtered through the membrane of the AF4 channel is quantified using a pre-calibrated UV-Vis detector. The large drug-loaded particles separated along the channel are detected using the fluorescence detector. ( B1 ) Elution profile showing the UV-Vis signal of quinine, with the cross-flow coupled to the UV-Vis detector. Wavelength set at 250 nm. ( B2 ) The calibration curve is generated by injecting several concentrations of quinine, enabling the quantification of quinine present in the cross-flow waste. Wavelength set at 250 nm. ( B3 ) Elution profile showing the UV-Vis signal of LNP5 and LNP5-Q, respectively. The cross-flow is coupled to the UV-Vis detector, set to a wavelength of 250 nm. C1) and C2) Fluorescence detection of the LNPs shows that the quinine is located in the particle due to increased intensity of the fluorescence signal at the same elution volume as the particle. The concentration of the particles is kept the same; thus, the increasing absorption intensity and broader absorption wavelength after excitation at 250 and 350 nm are the result of the quinine in the loaded LNP5-Q-B4 compared to the pure LNP5-WS-B4.

    Article Snippet: AF4 measurements were performed with an Eclipse Neon Asymmetric flow field-flow fractionation (AF4) system (Wyatt Technologies Corp., Germany).

    Techniques: Encapsulation, Fluorescence, Membrane, Generated, Concentration Assay