Confocal Raman Microscopy for In-situ Measurement of Phospholipid-Water Partitioning into Model Phospholipid Bilayers within Individual Chromatographic Particles

Kitt, Jay P.; Bryce, David A.; Minteer, Shelley D.; Harris, Joel M.

doi:10.1021/acs.analchem.8b01452

Title: Confocal Raman Microscopy for In-situ Measurement of Phospholipid-Water Partitioning into Model Phospholipid Bilayers within Individual Chromatographic Particles

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Abstract

The phospholipid-water partition coefficient is a commonly measured parameter that correlates with drug efficacy, small-molecule toxicity, and accumulation of molecules in biological systems in the environment. Despite the utility of this parameter, methods for measuring phospholipid-water partition coefficients are limited. This is due to the difficulty of making quantitative measurements in vesicle membranes or supported phospholipid bilayers, both of which are small-volume phases that challenge the sensitivity of many analytical techniques. In this paper, we employ in-situ confocal Raman microscopy to probe the partitioning of a model membrane-active compound, 2-(4-isobutylphenyl) propionic acid or ibuprofen, into both hybrid- and supported-phospholipid bilayers deposited on the pore walls of individual chromatographic particles. The large surface-area-to-volume ratio of chromatographic silica allows interrogation of a significant lipid bilayer area within a very small volume. The local phospholipid concentration within a confocal probe volume inside the particle can be as high as 0.5 M, which overcomes the sensitivity limitations of making measurements in the limited membrane areas of single vesicles or planar supported bilayers. Quantitative determination of ibuprofen partitioning is achieved by using the phospholipid acyl-chains of the within-particle bilayer as an internal standard. This approach is tested for measurements of pH-dependent partitioning of ibuprofen intomore »« less

Authors:

Kitt, Jay P. ^[1]; Bryce, David A. ^[1]; Minteer, Shelley D. ^[1]; Harris, Joel M. ^[1]

Univ. of Utah, Salt Lake City, UT (United States). Dept. of Chemistry

Publication Date:: Mon May 14 00:00:00 EDT 2018

Research Org.:: Univ. of Utah, Salt Lake City, UT (United States)

Sponsoring Org.:: USDOE Office of Science (SC), Basic Energy Sciences (BES)

OSTI Identifier:: 1437042

Grant/Contract Number:: FG03-93ER14333

Resource Type:: Accepted Manuscript

Journal Name:: Analytical Chemistry

Additional Journal Information:: Journal Volume: 90; Journal Issue: 11; Journal ID: ISSN 0003-2700

Publisher:: American Chemical Society (ACS)

Country of Publication:: United States

Language:: English

Subject:: 37 INORGANIC, ORGANIC, PHYSICAL, AND ANALYTICAL CHEMISTRY

Citation Formats


                    Kitt, Jay P., Bryce, David A., Minteer, Shelley D., and Harris, Joel M. Confocal Raman Microscopy for In-situ Measurement of Phospholipid-Water Partitioning into Model Phospholipid Bilayers within Individual Chromatographic Particles.  United States: N. p., 2018. 
Web.  doi:10.1021/acs.analchem.8b01452.

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                    Kitt, Jay P., Bryce, David A., Minteer, Shelley D., & Harris, Joel M. Confocal Raman Microscopy for In-situ Measurement of Phospholipid-Water Partitioning into Model Phospholipid Bilayers within Individual Chromatographic Particles.  United States.  https://doi.org/10.1021/acs.analchem.8b01452

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                    Kitt, Jay P., Bryce, David A., Minteer, Shelley D., and Harris, Joel M. Mon .  
"Confocal Raman Microscopy for In-situ Measurement of Phospholipid-Water Partitioning into Model Phospholipid Bilayers within Individual Chromatographic Particles".  United States.  https://doi.org/10.1021/acs.analchem.8b01452.  https://www.osti.gov/servlets/purl/1437042.

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@article{osti_1437042,

  title        = {Confocal Raman Microscopy for In-situ Measurement of Phospholipid-Water Partitioning into Model Phospholipid Bilayers within Individual Chromatographic Particles},

  author       = {Kitt, Jay P. and Bryce, David A. and Minteer, Shelley D. and Harris, Joel M.},

  abstractNote = {The phospholipid-water partition coefficient is a commonly measured parameter that correlates with drug efficacy, small-molecule toxicity, and accumulation of molecules in biological systems in the environment. Despite the utility of this parameter, methods for measuring phospholipid-water partition coefficients are limited. This is due to the difficulty of making quantitative measurements in vesicle membranes or supported phospholipid bilayers, both of which are small-volume phases that challenge the sensitivity of many analytical techniques. In this paper, we employ in-situ confocal Raman microscopy to probe the partitioning of a model membrane-active compound, 2-(4-isobutylphenyl) propionic acid or ibuprofen, into both hybrid- and supported-phospholipid bilayers deposited on the pore walls of individual chromatographic particles. The large surface-area-to-volume ratio of chromatographic silica allows interrogation of a significant lipid bilayer area within a very small volume. The local phospholipid concentration within a confocal probe volume inside the particle can be as high as 0.5 M, which overcomes the sensitivity limitations of making measurements in the limited membrane areas of single vesicles or planar supported bilayers. Quantitative determination of ibuprofen partitioning is achieved by using the phospholipid acyl-chains of the within-particle bilayer as an internal standard. This approach is tested for measurements of pH-dependent partitioning of ibuprofen into both hybrid-lipid and supported-lipid bilayers within silica particles, and the results are compared with octanol-water partitioning and with partitioning into individual optically-trapped phospholipid vesicle membranes. Finally and additionally, the impact of ibuprofen partitioning on bilayer structure is evaluated for both within-particle model membranes and compared with the structural impacts of partitioning into vesicle lipid bilayers.},

  doi          = {10.1021/acs.analchem.8b01452},

  journal      = {Analytical Chemistry},

  number       = 11,

  volume       = 90,

  place        = {United States},

  year         = {Mon May 14 00:00:00 EDT 2018},

  month        = {Mon May 14 00:00:00 EDT 2018}

}

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