Development of an electrochemical caffeine sensor for PAT application in the food and beverage industry

dc.contributor.authorScanlon, Shauna
dc.contributor.authorMessina, Walter
dc.contributor.authorMoore, Eric
dc.contributor.authorRothwell, Sharon
dc.contributor.authorHarrison, Scott
dc.contributor.funderIrish Research Councilen
dc.contributor.funderPepsiCoen
dc.date.accessioned2018-10-12T14:24:43Z
dc.date.available2018-10-12T14:24:43Z
dc.date.issued2017-10
dc.date.updated2018-10-12T14:17:04Z
dc.description.abstractThis work reports on the development of an electrochemical sensor for on-line caffeine detection using screen printed graphite electrodes. The effects of solution pH and pre-treatment procedures on electrode performance have been discussed, as well as the modification of the electrode surface for increased electrode sensitivity. Successful caffeine determination in soft drink samples is described. The results indicate the potential of electrochemical sensors to compare and compete with the current off-line methods of caffeine analysis, such as HPLC, allowing for both a reduction in time and cost of product quality analysis. The successful performance of the screen printed electrode, as well as its low cost and small dimensions, will allow for efficient integration into a multi-parameter device for on-line quality control analysis.en
dc.description.sponsorshipEnterprise Partnership Scheme Scholarship.en
dc.description.statusPeer revieweden
dc.description.versionAccepted Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationScanlon, S., Messina, W., Moore, E., Rothwell, S. and Harrison, S. (2017) 'Development of an electrochemical caffeine sensor for PAT application in the food and beverage industry'. 2017 IEEE Biomedical Circuits and Systems Conference (BioCAS), Turin, Italy 19-21 October. doi: 10.1109/BIOCAS.2017.8325177en
dc.identifier.doi10.1109/BIOCAS.2017.8325177
dc.identifier.endpage4en
dc.identifier.isbn978-1-5090-5803-7
dc.identifier.startpage1en
dc.identifier.urihttps://hdl.handle.net/10468/7007
dc.language.isoenen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.relation.ispartof2017 IEEE Biomedical Circuits and Systems Conference (BioCAS)
dc.relation.urihttps://ieeexplore.ieee.org/abstract/document/8325177
dc.rights© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.en
dc.subjectBeverage industryen
dc.subjectBeveragesen
dc.subjectChemical sensorsen
dc.subjectElectrochemical electrodesen
dc.subjectElectrochemical sensorsen
dc.subjectFood productsen
dc.subjectGraphiteen
dc.subjectOrganic compoundsen
dc.subjectpHen
dc.subjectQuality controlen
dc.subjectCaffeine determinationen
dc.subjectIncreased electrode sensitivityen
dc.subjectElectrode surfaceen
dc.subjectElectrode performanceen
dc.subjectPre-treatment proceduresen
dc.subjectSolution pHen
dc.subjectScreen printed graphite electrodesen
dc.subjectOn-line caffeine detectionen
dc.subjectFooden
dc.subjectPAT applicationen
dc.subjectElectrochemical caffeine sensoren
dc.subjectOn-line quality control analysisen
dc.subjectScreen printed electrodeen
dc.subjectProduct quality analysisen
dc.subjectCaffeine analysisen
dc.subjectOff-line methodsen
dc.subjectElectrochemical sensoren
dc.subjectSoft drink samplesen
dc.subjectElectrodesen
dc.subjectPharmaceuticalsen
dc.subjectCarbonen
dc.subjectElectric potentialen
dc.subjectSurface morphologyen
dc.subjectElectrochemical detectionen
dc.subjectProcess analytical technologyen
dc.subjectScreen printed electrodesen
dc.subjectFood and beverageen
dc.subjectCaffeineen
dc.titleDevelopment of an electrochemical caffeine sensor for PAT application in the food and beverage industryen
dc.typeConference itemen
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
FoodCAS 2017_paper_Shauna Scanlon.pdf
Size:
241.02 KB
Format:
Adobe Portable Document Format
Description:
Accepted version
License bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
2.71 KB
Format:
Item-specific license agreed upon to submission
Description: