Ultrasensitive detection of endotoxins using computationally designed nanoMIPs

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dc.contributor.authorAltintas, Zeynep
dc.contributor.authorAbdin, Mohammed J.
dc.contributor.authorTothill, Alexander M.
dc.contributor.authorKarim, Kal
dc.contributor.authorTothill, Ibtisam E.
dc.date.accessioned2016-07-05T13:44:40Z
dc.date.available2016-07-05T13:44:40Z
dc.date.issued2016-06-21
dc.description.abstractNovel molecularly imprinted polymer nanoparticles (nanoMIPs) were designed for endotoxin from Escherichia coli 0111:B4, using computational modeling. The screening process based on binding energy between endotoxin and each monomer was performed with 21 commonly used monomers, resulting in the selection of itaconic acid, methacrylic acid and acrylamide as functional monomers due to their strong binding interaction with the endotoxin template. The nanoMIPs were successfully synthesized with functional groups on the outer surface to aid in the immobilization onto sensor surface. The solid phase photopolymerization approach used for the synthesis of nanoMIPs ranging from 200 to 235 nm in diameter. The limit of detection and KD were significantly improved when endotoxin samples were prepared using a novel triethylamine method. This improved the efficiency of gold nanoparticle functionalization by targeting the subunits of the endotoxin. Compared to the vancomycin MIP control, the endotoxin MIPs displayed outstanding affinity and selectivity towards the endotoxin with KD values in the range of 4.4–5.3 × 10−10 M, with limits of detection of 0.44 ± 0.02 ng mL−1 as determined by surface plasmon resonance (SPR) sensor when itaconic acid was used as the functional monomer. The MIP surface can be regenerated >30 times without significant loss of binding activity making this approach highly cost effective for expensive analyte templates. The combination of molecular modeling and solid phase synthesis enabled the successful synthesis of nanoMIPs capable of recognition and ultrasensitive detection of endotoxins using the highly sensitive SPR biosensor with triethylamine method.en_UK
dc.identifier.citationZeynep Altintas, Mohammed J. Abdin, Alexander M. Tothill, Kal Karim, Ibtisam E. Tothill, Ultrasensitive detection of endotoxins using computationally designed nanoMIPs, Analytica Chimica Acta, Volume 935, 7 September 2016, pp239-248en_UK
dc.identifier.issn0003-2670
dc.identifier.urihttp://dx.doi.org/10.1016/j.aca.2016.06.013
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/10086
dc.language.isoenen_UK
dc.publisherElsevieren_UK
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectMolecularly imprinting polymers (MIPs)en_UK
dc.subjectEndotoxinsen_UK
dc.subjectComputational modelingen_UK
dc.subjectNanomaterialsen_UK
dc.subjectTriethylamineen_UK
dc.subjectBiosensoren_UK
dc.titleUltrasensitive detection of endotoxins using computationally designed nanoMIPsen_UK
dc.typeArticleen_UK

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