A nanosized magnetic metal-organic framework of type MIL-53(Fe) as an efficient sorbent for coextraction of phenols and anilines prior to their quantitation by HPLC.

Desirability function Dispersive micro-solid phase extraction Magnetic sorbent Pollutants Water samples

Journal

Mikrochimica acta
ISSN: 1436-5073
Titre abrégé: Mikrochim Acta
Pays: Austria
ID NLM: 7808782

Informations de publication

Date de publication:
02 08 2019
Historique:
received: 26 01 2019
accepted: 13 07 2019
entrez: 4 8 2019
pubmed: 4 8 2019
medline: 4 8 2019
Statut: epublish

Résumé

The authors describe the synthesis of a magnetic metal-organic framework (MOF) of type MIL-53(Fe) for coextraction of phenols and anilines from various environmental samples. A quick method for dispersive micro-solid phase extraction (D-μ-SPE) was developed for coextraction of the analytes 4-nitrophenol (4-NP), 4-chlorophenol (4-CP), 4-chloroaniline (4-CA), 1-amino-2-naphtol (1-A2N) and 2, 4-dichloroaniline (2, 4-DCA). The MOF was characterized by SEM, TEM, FT-IR, EDS, thermogravimetry, VSM and XRD. The method was optimized by response surface methodology combined with desirability function approach, specifically with respect to pH value of the sample, amount of sorbent, sorption time, salt concentration, sample volume, type and volume of the eluent, and elution time. Following elution with acetonitrile, the analytes were quantified by HPLC with photodiode array detection. Responses are linear in 0.1-2000 μg·L

Identifiants

pubmed: 31375929
doi: 10.1007/s00604-019-3698-9
pii: 10.1007/s00604-019-3698-9
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

597

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Auteurs

Niloofar Jalilian (N)

Faculty of Chemistry and Petroleum Sciences, Shahid Beheshti University, G.C., Evin, Tehran, Iran.

Homeira Ebrahimzadeh (H)

Faculty of Chemistry and Petroleum Sciences, Shahid Beheshti University, G.C., Evin, Tehran, Iran. h-ebrahim@sbu.ac.ir.

Ali Akbar Asgharinezhad (AA)

Chemistry and Process Department, Niroo Research Institute, Tehran, Iran.

Classifications MeSH