Morphology-induced defects enhance lipid transfer rates

Yan Xia, Kamil Charubin, Drew Marquardt, Frederick A. Heberle, John Katsaras, Jianhui Tian, Xiaolin Cheng, Ying Liu, Mu Ping Nieh

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

Molecular transfer between nanoparticles has been considered to have important implications regarding nanoparticle stability. Recently, the interparticle spontaneous lipid transfer rate constant for discoidal bicelles was found to be very different from spherical, unilamellar vesicles (ULVs). Here, we investigate the mechanism responsible for this discrepancy. Analysis of the data indicates that lipid transfer is entropically favorable, but enthalpically unfavorable with an activation energy that is independent of bicelle size and long- to short-chain lipid molar ratio. Moreover, molecular dynamics simulations reveal a lower lipid dissociation energy cost in the vicinity of interfaces ("defects") induced by the segregation of the long- and short-chain lipids in bicelles; these defects are not present in ULVs. Taken together, these results suggest that the enhanced lipid transfer observed in bicelles arises from interfacial defects as a result of the hydrophobic mismatch between the long- and short-chain lipid species. Finally, the observed lipid transfer rate is found to be independent of nanoparticle stability.

Original languageEnglish
Pages (from-to)9757-9764
Number of pages8
JournalLangmuir
Volume32
Issue number38
DOIs
StatePublished - Sep 27 2016

Funding

Mu-Ping Nieh, Yan Xia, Kamil Charubin, and Ying Liu acknowledge the financial support from the National Science Foundation (NSF) (CMMI 1131587 and CBET 1433903) and NSF-DMR 1228817 for the acquisition of a high-sensitivity DSC. SANS experiments were conducted at SNS (ORNL) and NCNR (NIST). The authors thank Dr. Boualem Hammouda (NIST) for his help. John Katsaras is supported through the Scientific User Facilities Division of the United States Department of Energy (DOE) Office of Basic Energy Sciences (BES) under Contract DE-AC05-00OR22725, which also supported the MD simulation work. Xiaolin Cheng is partially supported by Laboratory Directed Research and Development (LDRD) Fund P7394 (ORNL).

FundersFunder number
NSF-DMR1228817
United States Department of Energy
National Science FoundationCMMI 1131587, CBET 1433903
U.S. Department of Energy
National Institute of Standards and Technology
Basic Energy SciencesDE-AC05-00OR22725
Oak Ridge National Laboratory
Laboratory Directed Research and DevelopmentP7394
NIST Center for Neutron Research

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