Publication
Biomimetic Sensor Potentiometric System for Doxycycline Antibiotic Using a Molecularly Imprinted Polymer as an Artificial Recognition Element
| dc.contributor.author | Kamel, Ayman H. | |
| dc.contributor.author | Moreira, Felismina T. C. | |
| dc.contributor.author | Sales, M. Goreti F. | |
| dc.date.accessioned | 2015-10-20T13:07:41Z | |
| dc.date.available | 2015-10-20T13:07:41Z | |
| dc.date.issued | 2011 | |
| dc.description.abstract | Molecular imprinting is a useful technique for the preparation of functional materials with molecular recognition properties. A Biomimetic Sensor Potentiometric System was developed for assessment of doxycycline (DOX) antibiotic. The molecularly imprinted polymer (MIP) was synthesized by using doxycycline as a template molecule, methacrylic acid (MAA) and/or acrylamide (AA) as a functional monomer and ethylene glycol dimethacrylat (EGDMA) as a cross-linking agent. The sensing elements were fabricated by the inclusion of DOX imprinted polymers in polyvinyl chloride (PVC) matrix. The sensors showed a high selectivity and a sensitive response to the template in aqueous system. Electrochemical evaluation of these sensors under static (batch) mode of operation reveals near-Nernstian response. MIP/MAA membrane sensor was incorporated in flow-through cells and used as detectors for flow injection analysis (FIA) of DOX. The method has the requisite accuracy, sensitivity and precision to assay DOX in tablets and biological fluids. | pt_PT |
| dc.identifier.doi | 10.1166/sl.2011.1707 | |
| dc.identifier.uri | http://hdl.handle.net/10400.22/6768 | |
| dc.language.iso | eng | pt_PT |
| dc.publisher | American Scientific Publishers | pt_PT |
| dc.relation.publisherversion | http://www.ingentaconnect.com/content/asp/senlet/2011/00000009/00000005/art00011?token=005a196ddea0693d07e442f2067217d766a445049796c2a406a687627504541676249266d656c8e26a1efe040d | pt_PT |
| dc.title | Biomimetic Sensor Potentiometric System for Doxycycline Antibiotic Using a Molecularly Imprinted Polymer as an Artificial Recognition Element | pt_PT |
| dc.type | journal article | |
| dspace.entity.type | Publication | |
| oaire.citation.endPage | 1660 | pt_PT |
| oaire.citation.startPage | 1654 | pt_PT |
| oaire.citation.title | Sensor Letters | pt_PT |
| oaire.citation.volume | 9 | pt_PT |
| person.familyName | Moreira | |
| person.givenName | Felismina | |
| person.identifier | 1589429 | |
| person.identifier.ciencia-id | C917-6A46-A270 | |
| person.identifier.orcid | 0000-0003-4237-8952 | |
| person.identifier.scopus-author-id | 23486193000 | |
| rcaap.rights | closedAccess | pt_PT |
| rcaap.type | article | pt_PT |
| relation.isAuthorOfPublication | 9c13153d-a73a-49ff-b7f6-c9733bc6725e | |
| relation.isAuthorOfPublication.latestForDiscovery | 9c13153d-a73a-49ff-b7f6-c9733bc6725e |