2021
DOI: 10.3390/ma14174990
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Green Composite Sensor for Monitoring Hydroxychloroquine in Different Water Matrix

Abstract: Hydroxychloroquine (HCQ), a derivative of 4-aminoquinolone, is prescribed as an antimalarial prevention drug and to treat diseases such as rheumatoid arthritis, and systemic lupus erythematosus. Recently, Coronavirus (COVID-19) treatment was authorized by national and international medical organizations by chloroquine and hydroxychloroquine in certain hospitalized patients. However, it is considered as an unproven hypothesis for treating COVID-19 which even itself must be investigated. Consequently, the high r… Show more

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Cited by 21 publications
(27 citation statements)
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“…In a previous work, the use of the cork-graphite composite as electrochemical sensor for quantifying HCQ in real water matrices [14] was demonstrated, confirming HCQ pollution in lagoon water. However, the possibility to integrate technologies as an appropriate water depollution solution to eliminate HCQ from a real water matrix was not proven yet.…”
Section: Introductionmentioning
confidence: 71%
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“…In a previous work, the use of the cork-graphite composite as electrochemical sensor for quantifying HCQ in real water matrices [14] was demonstrated, confirming HCQ pollution in lagoon water. However, the possibility to integrate technologies as an appropriate water depollution solution to eliminate HCQ from a real water matrix was not proven yet.…”
Section: Introductionmentioning
confidence: 71%
“…The raw cork granules were reduced in size; a fraction below 150 µm (designated as raw cork powder) was selected for constructing the sensor in this work, according to our previous work [24]. The cork-graphite composite sensor (working electrode) was prepared by mechanical homogenization of raw cork powder and graphite in proportions of 70:30% w/w, using 0.3 mL of paraffin oil as a binder and mixing everything in an agate mortar for about 30 min, as previously reported [14].…”
Section: Preparation Of Cork-modified Electrodesmentioning
confidence: 99%
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