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NMR diffusometry: A new perspective for nanomedicine exploration.

Journal of controlled release : official journal of the Controlled Release Society

Franconi F, Lemaire L, Gimel JC, Bonnet S, Saulnier P.
PMID: 34280413
J Control Release. 2021 Sep 10;337:155-167. doi: 10.1016/j.jconrel.2021.07.025. Epub 2021 Jul 16.

Nuclear Magnetic Resonance (NMR) based diffusion methods open new perspectives for nanomedicine characterization and their bioenvironment interaction understanding. This review summarizes the theoretical background of diffusion phenomena. Self-diffusion and mutual diffusion coefficient notions are featured. Principles, advantages, drawbacks, and...

Cite
Franconi F, Lemaire L, Gimel JC, et al. NMR diffusometry: A new perspective for nanomedicine exploration. J Control Release. 2021;337:155-167doi: 10.1016/j.jconrel.2021.07.025.
Franconi, F., Lemaire, L., Gimel, J. C., Bonnet, S., & Saulnier, P. (2021). NMR diffusometry: A new perspective for nanomedicine exploration. Journal of controlled release : official journal of the Controlled Release Society, 337155-167. https://doi.org/10.1016/j.jconrel.2021.07.025
Franconi, Florence, et al. "NMR diffusometry: A new perspective for nanomedicine exploration." Journal of controlled release : official journal of the Controlled Release Society vol. 337 (2021): 155-167. doi: https://doi.org/10.1016/j.jconrel.2021.07.025
Franconi F, Lemaire L, Gimel JC, Bonnet S, Saulnier P. NMR diffusometry: A new perspective for nanomedicine exploration. J Control Release. 2021 Sep 10;337:155-167. doi: 10.1016/j.jconrel.2021.07.025. Epub 2021 Jul 16. PMID: 34280413.
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A predictive model of organic acids separation by chromatography with strong anionic resins in sulfate form.

Journal of chromatography. A

Zhong W, Perre P, Duval F, Lemaire J.
PMID: 34890853
J Chromatogr A. 2021 Nov 07;1661:462671. doi: 10.1016/j.chroma.2021.462671. Epub 2021 Nov 07.

Organic acids commonly have quite symmetrical chromatography profiles at low pH (

Cite
Zhong W, Perre P, Duval F, et al. A predictive model of organic acids separation by chromatography with strong anionic resins in sulfate form. J Chromatogr A. 2021;1661:462671doi: 10.1016/j.chroma.2021.462671.
Zhong, W., Perre, P., Duval, F., & Lemaire, J. (2021). A predictive model of organic acids separation by chromatography with strong anionic resins in sulfate form. Journal of chromatography. A, 1661462671. https://doi.org/10.1016/j.chroma.2021.462671
Zhong, Wuyang, et al. "A predictive model of organic acids separation by chromatography with strong anionic resins in sulfate form." Journal of chromatography. A vol. 1661 (2021): 462671. doi: https://doi.org/10.1016/j.chroma.2021.462671
Zhong W, Perre P, Duval F, Lemaire J. A predictive model of organic acids separation by chromatography with strong anionic resins in sulfate form. J Chromatogr A. 2021 Nov 07;1661:462671. doi: 10.1016/j.chroma.2021.462671. Epub 2021 Nov 07. PMID: 34890853.
Copy Download .nbib Format: NLM
Showing 637 to 638 of 638 entries