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Preconcentration and determination of manganese in biological samples by dual-cloud point extraction coupled with flame atomic absorption spectrometry
An efficient, innovative preconcentration method using dual-cloud point extraction (d-CPE) was developed for the analysis of trace levels of manganese (Mn 2+ ) in biological samples (scalp hair) prior to coupling with flame atomic absorption spectrometry (FAAS). In the first step of d-CPE, Mn 2+ was...
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Published in: | Journal of analytical atomic spectrometry 2014-01, Vol.29 (12), p.2349-2355 |
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Main Authors: | , , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that cite this one |
Online Access: | Get full text |
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Summary: | An efficient, innovative preconcentration method using dual-cloud point extraction (d-CPE) was developed for the analysis of trace levels of manganese (Mn
2+
) in biological samples (scalp hair) prior to coupling with flame atomic absorption spectrometry (FAAS). In the first step of d-CPE, Mn
2+
was complexed with 1-(2-pyridylazo)-2-naphthol (PAN), which was subsequently entrapped in a nonionic surfactant (Triton X-114). In the second step, the entrapped metal complex in the surfactant-rich phase was treated with aqueous nitric acid solution and heated; the studied metal ions were back-extracted again into aqueous phase. The aqueous phase was subjected to FAAS using conventional nebulization. The validity of the proposed method was verified by the analysis of Mn
2+
in a certified sample of scalp hair (CRM) by both d-CPE and conventional CPE procedures. The enhancement factor of Mn
2+
was found to be 46. The proposed method was successfully applied to the determination of Mn
2+
in acid-digested scalp hair samples of Parkinson's patients and healthy referents.
An efficient, innovative preconcentration method using dual-cloud point extraction (d-CPE) was developed for the analysis of trace levels of manganese (Mn
2+
) in biological samples (scalp hair) prior to coupling with flame atomic absorption spectrometry (FAAS). |
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ISSN: | 0267-9477 1364-5544 |
DOI: | 10.1039/c4ja00266k |