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dc.contributor.authorIslam, K
dc.contributor.authorDamiati, S
dc.contributor.authorSethi, J
dc.contributor.authorSuhail, A
dc.contributor.authorPan, G
dc.date.accessioned2018-02-20T15:43:05Z
dc.date.available2018-02-20T15:43:05Z
dc.date.issued2018
dc.identifier.issn1424-8220
dc.identifier.issn1424-8220
dc.identifier.other308
dc.identifier.urihttp://hdl.handle.net/10026.1/10827
dc.description.abstract

Clusterin (CLU) has been associated with the clinical progression of Alzheimer's disease (AD) and described as a potential AD biomarker in blood plasma. Due to the enormous attention given to cerebrospinal fluid (CSF) biomarkers for the past couple of decades, recently found blood-based AD biomarkers like CLU have not yet been reported for biosensors. Herein, we report the electrochemical detection of CLU for the first time using a screen-printed carbon electrode (SPCE) modified with 1-pyrenebutyric acid N-hydroxysuccinimide ester (Pyr-NHS) and decorated with specific anti-CLU antibody fragments. This bifunctional linker molecule contains succinylimide ester to bind protein at one end while its pyrene moiety attaches to the carbon surface by means of π-π stacking. Cyclic voltammetric and square wave voltammetric studies showed the limit of detection down to 1 pg/mL and a linear concentration range of 1-100 pg/mL with good sensitivity. Detection of CLU in spiked human plasma was demonstrated with satisfactory recovery percentages to that of the calibration data. The proposed method facilitates the cost-effective and viable production of label-free point-of-care devices for the clinical diagnosis of AD.

dc.format.extent0-0
dc.format.mediumElectronic
dc.languageen
dc.language.isoen
dc.publisherMDPI AG
dc.subjectclusterin
dc.subjectelectrochemical biosensor
dc.subjectlabel-free immunosensor
dc.subjectcyclic voltammetry
dc.subjectsquare wave voltammetry
dc.subjectscreen-printed electrodes
dc.subjectAlzheimer's disease
dc.titleDevelopment of a Label-Free Immunosensor for Clusterin Detection as an Alzheimer’s Biomarker
dc.typejournal-article
dc.typeArticle
plymouth.author-urlhttps://www.ncbi.nlm.nih.gov/pubmed/29361679
plymouth.issue1
plymouth.volume18
plymouth.publication-statusPublished online
plymouth.journalSensors
dc.identifier.doi10.3390/s18010308
plymouth.organisational-group/Plymouth
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering/School of Engineering, Computing and Mathematics
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA/UoA12 Engineering
plymouth.organisational-group/Plymouth/Users by role
plymouth.organisational-group/Plymouth/Users by role/Academics
dc.publisher.placeSwitzerland
dcterms.dateAccepted2018-01-18
dc.identifier.eissn1424-8220
dc.rights.embargoperiodNot known
rioxxterms.funderEPSRC
rioxxterms.identifier.projectNovel Point-of-Care Diagnostic Techniques for Dementia
rioxxterms.versionofrecord10.3390/s18010308
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.typeJournal Article/Review
plymouth.funderNovel Point-of-Care Diagnostic Techniques for Dementia::EPSRC


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