Microwave-assisted dispersive liquid-liquid microextraction coupling to solidification of floating organic droplet for colorants analysis in selected cosmetics by liquid chromatography.

Colorant Eye shadow HPLC-DAD Lipstick Microwave-assisted dispersive liquid-liquid microextraction Solidification of floating organic droplet

Journal

Talanta
ISSN: 1873-3573
Titre abrégé: Talanta
Pays: Netherlands
ID NLM: 2984816R

Informations de publication

Date de publication:
01 Mar 2019
Historique:
received: 14 06 2018
revised: 03 09 2018
accepted: 29 09 2018
entrez: 6 1 2019
pubmed: 6 1 2019
medline: 6 1 2019
Statut: ppublish

Résumé

A convenient and rapid method was developed for determination of fourteen colorants in selected cosmetics based on microwave-assisted dispersive liquid-liquid microextraction (MA-DLLME) using solidification of the floating organic droplet (SFOD) as a clean-up step followed by high-performance liquid chromatography diode array detection (HPLC-DAD). DLLME was performed in a microwave device for reducing manual operations and facilitating rapid extraction equilibrium, resulting in high sample throughput and good extraction efficiency. Matrix effects could be effectively eliminated by SFOD technique. Various parameters affecting the extraction efficiency were optimized by multi-response surface methodology. The limits of detection and quantification were 0.25-3.2 mg kg

Identifiants

pubmed: 30609558
pii: S0039-9140(18)31023-3
doi: 10.1016/j.talanta.2018.09.105
pii:
doi:

Types de publication

Journal Article

Langues

eng

Pagination

46-54

Informations de copyright

Copyright © 2018 Elsevier B.V. All rights reserved.

Auteurs

Zhixiong Zhong (Z)

Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 510300, China. Electronic address: zzxiong608@126.com.

Gongke Li (G)

School of Chemistry, Sun Yat-sen University, Guangzhou 510275, China.

Zhibin Luo (Z)

Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 510300, China.

Binghui Zhu (B)

Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 510300, China.

Classifications MeSH