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dc.contributor.authorLace, Annija
dc.contributor.authorRyan, David
dc.contributor.authorBowkett, Mark
dc.contributor.authorCleary, John
dc.date.accessioned2019-03-07T09:48:16Z
dc.date.available2019-03-07T09:48:16Z
dc.date.copyright2019-01-18
dc.date.issued2019
dc.identifier.citationLace, A., Ryan, D., Bowkett, M., & Cleary, J. (2019). Arsenic monitoring in water by colorimetry using an optimized leucomalachite green method. Molecules, 24(2). doi:10.3390/molecules24020339en_US
dc.identifier.issn1420-3049
dc.identifier.urihttps://research.thea.ie/handle/20.500.12065/2500
dc.description.abstractArsenic contamination of drinking water is a global concern. Standard laboratory methods that are commonly used for arsenic detection in water, such as atomic absorption spectroscopy and mass spectroscopy, are not suitable for mass monitoring purposes. Autonomous microfluidic detection systems combined with a suitable colorimetric reagent could provide an alternative to standard methods. Moreover, microfluidic detection systems would enable rapid and cost efficient in situ monitoring of water sources without the requirement of laborious sampling. The aim of this study is to optimize a colorimetric method based on leucomalachite green dye for integration into a microfluidic detection system. The colorimetric method is based on the reaction of arsenic (III) with potassium iodate in acid medium to liberate iodine, which oxidizes leucomalachite green to malachite green. A rapid colour development was observed after the addition of the dye. Beer’s law was obeyed in the range between 0.07–3 µg mL−1. The detection limit and quantitation limit were found to be 0.19 and 0.64 µg mL−1, respectively.en_US
dc.formatPDFen_US
dc.language.isoenen_US
dc.publisherMDPIen_US
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Ireland*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/ie/*
dc.subjectarsenicen_US
dc.subjectcolorimetric methodsen_US
dc.subjectenvironmental monitoringen_US
dc.subjectleucomalachite greenen_US
dc.subjectmicrofluidicsen_US
dc.titleArsenic monitoring in water by colorimetry using an optimized leucomalachite green methoden_US
dc.typeArticleen_US
dc.contributor.grantnoGOIPG/2016/301en_US
dc.contributor.sponsorThis research was funded by Irish Research Council and the Institute of Technology Carlow President’s Research Fellowship Programme fund.en_US
dc.description.peerreviewyesen_US
dc.identifier.urlhttps://doi.org/10.3390/molecules24020339en_US
dc.rights.accessinfo:eu-repo/semantics/openAccessen_US
dc.subject.departmentenviroCORE - IT Carlowen_US


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Attribution-NonCommercial-NoDerivs 3.0 Ireland
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 Ireland