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Selective molecular adsorption using electrospun nanofiber affinity membranes.

Yoshimatsu, Keiichi LU ; Ye, Lei LU ; Lindberg, Johanna and Chronakis, Ioannis S (2008) In Biosensors & Bioelectronics 23(7). p.1208-1215
Abstract
Molecularly imprinted nanoparticles were encapsulated into polymer nanofibers with a simple electrospinning method. The composite nanofibers form non-woven mats that can be used as affinity membrane to greatly simplify solid phase extraction of drug residues in analytical samples. Upward 100% of propranolol-imprinted nanoparticles can be easily encapsulated into poly(ethylene terephthalate) nanofibers, ensuring the composite materials to have a high specific binding capacity. As confirmed by radioligand binding analysis, the specific binding sites in the composite materials remain easily accessible and are chiral-selective. Using the new composite nanofiber mats as solid phase extraction materials, trace amount of propranolol (1ngmL(-1))... (More)
Molecularly imprinted nanoparticles were encapsulated into polymer nanofibers with a simple electrospinning method. The composite nanofibers form non-woven mats that can be used as affinity membrane to greatly simplify solid phase extraction of drug residues in analytical samples. Upward 100% of propranolol-imprinted nanoparticles can be easily encapsulated into poly(ethylene terephthalate) nanofibers, ensuring the composite materials to have a high specific binding capacity. As confirmed by radioligand binding analysis, the specific binding sites in the composite materials remain easily accessible and are chiral-selective. Using the new composite nanofiber mats as solid phase extraction materials, trace amount of propranolol (1ngmL(-1)) in tap water can be easily detected after a simple sample preparation. As validated in this study, there is no problem of template leakage from the composite nanofibers. Without the solid phase extraction, the existence of propranolol residues in water cannot be confirmed with even tandem HPLC-MS/MS analysis. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Biosensors & Bioelectronics
volume
23
issue
7
pages
1208 - 1215
publisher
Elsevier
external identifiers
  • pmid:18226521
  • wos:000253620900042
  • scopus:38749122433
ISSN
1873-4235
DOI
10.1016/j.bios.2007.12.002
language
English
LU publication?
yes
id
7123f01e-a027-410b-8314-135f0bc0d3da (old id 1021011)
date added to LUP
2008-02-19 14:59:44
date last changed
2017-06-04 04:12:22
@article{7123f01e-a027-410b-8314-135f0bc0d3da,
  abstract     = {Molecularly imprinted nanoparticles were encapsulated into polymer nanofibers with a simple electrospinning method. The composite nanofibers form non-woven mats that can be used as affinity membrane to greatly simplify solid phase extraction of drug residues in analytical samples. Upward 100% of propranolol-imprinted nanoparticles can be easily encapsulated into poly(ethylene terephthalate) nanofibers, ensuring the composite materials to have a high specific binding capacity. As confirmed by radioligand binding analysis, the specific binding sites in the composite materials remain easily accessible and are chiral-selective. Using the new composite nanofiber mats as solid phase extraction materials, trace amount of propranolol (1ngmL(-1)) in tap water can be easily detected after a simple sample preparation. As validated in this study, there is no problem of template leakage from the composite nanofibers. Without the solid phase extraction, the existence of propranolol residues in water cannot be confirmed with even tandem HPLC-MS/MS analysis.},
  author       = {Yoshimatsu, Keiichi and Ye, Lei and Lindberg, Johanna and Chronakis, Ioannis S},
  issn         = {1873-4235},
  language     = {eng},
  number       = {7},
  pages        = {1208--1215},
  publisher    = {Elsevier},
  series       = {Biosensors & Bioelectronics},
  title        = {Selective molecular adsorption using electrospun nanofiber affinity membranes.},
  url          = {http://dx.doi.org/10.1016/j.bios.2007.12.002},
  volume       = {23},
  year         = {2008},
}