dc.contributor.author | Lace, Annija | |
dc.contributor.author | Ryan, David | |
dc.contributor.author | Bowkett, Mark | |
dc.contributor.author | Cleary, John | |
dc.date.accessioned | 2019-03-07T09:48:16Z | |
dc.date.available | 2019-03-07T09:48:16Z | |
dc.date.copyright | 2019-01-18 | |
dc.date.issued | 2019 | |
dc.identifier.citation | Lace, 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/molecules24020339 | en_US |
dc.identifier.issn | 1420-3049 | |
dc.identifier.uri | https://research.thea.ie/handle/20.500.12065/2500 | |
dc.description.abstract | Arsenic 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.format | PDF | en_US |
dc.language.iso | en | en_US |
dc.publisher | MDPI | en_US |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Ireland | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/ie/ | * |
dc.subject | arsenic | en_US |
dc.subject | colorimetric methods | en_US |
dc.subject | environmental monitoring | en_US |
dc.subject | leucomalachite green | en_US |
dc.subject | microfluidics | en_US |
dc.title | Arsenic monitoring in water by colorimetry using an optimized leucomalachite green method | en_US |
dc.type | Article | en_US |
dc.contributor.grantno | GOIPG/2016/301 | en_US |
dc.contributor.sponsor | This research was funded by Irish Research Council and the Institute of Technology Carlow President’s Research Fellowship Programme fund. | en_US |
dc.description.peerreview | yes | en_US |
dc.identifier.url | https://doi.org/10.3390/molecules24020339 | en_US |
dc.rights.access | info:eu-repo/semantics/openAccess | en_US |
dc.subject.department | enviroCORE - IT Carlow | en_US |