Literature DB >> 24837929

Optimisation of ultrasound-assisted reverse micelles dispersive liquid-liquid micro-extraction by Box-Behnken design for determination of acetoin in butter followed by high performance liquid chromatography.

Mostafa Roosta1, Mehrorang Ghaedi2, Ali Daneshfar3.   

Abstract

A novel approach, ultrasound-assisted reverse micelles dispersive liquid-liquid microextraction (USA-RM-DLLME) followed by high performance liquid chromatography (HPLC) was developed for selective determination of acetoin in butter. The melted butter sample was diluted and homogenised by n-hexane and Triton X-100, respectively. Subsequently, 400μL of distilled water was added and the microextraction was accelerated by 4min sonication. After 8.5min of centrifugation, sedimented phase (surfactant-rich phase) was withdrawn by microsyringe and injected into the HPLC system for analysis. The influence of effective variables was optimised using Box-Behnken design (BBD) combined with desirability function (DF). Under optimised experimental conditions, the calibration graph was linear over the range of 0.6-200mgL(-1). The detection limit of method was 0.2mgL(-1) and coefficient of determination was 0.9992. The relative standard deviations (RSDs) were less than 5% (n=5) while the recoveries were in the range of 93.9-107.8%.
Copyright © 2014. Published by Elsevier Ltd.

Entities:  

Keywords:  Acetoin; Box–Behnken design; Desirability function; Response surface methodology; Ultrasound-assisted reverse micelles dispersive liquid–liquid microextraction

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Year:  2014        PMID: 24837929     DOI: 10.1016/j.foodchem.2014.03.043

Source DB:  PubMed          Journal:  Food Chem        ISSN: 0308-8146            Impact factor:   7.514


  1 in total

1.  Extraction, molecular weight distribution, and antioxidant activity of oligosaccharides from longan (Dimocarpus Longan Lour.) pulp.

Authors:  Xian Lin; Jinling Chen; Gengsheng Xiao; Yujuan Xu; Daobang Tang; Jijun Wu; Jing Wen; Weidong Chen
Journal:  Food Sci Biotechnol       Date:  2016-06-30       Impact factor: 2.391

  1 in total

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