2011
DOI: 10.1016/j.aca.2011.04.011
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Determination of N-methylcarbamate insecticides in water samples using dispersive liquid–liquid microextraction and HPLC with the aid of experimental design and desirability function

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Cited by 114 publications
(36 citation statements)
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“…The reference showed that the enrichment factor (EF) could be defined as the ratio between be analyte concentration in the sedimentary organic phase (C org ) and the initial concentration of the analyte (C 0 ) in the aqueous sample (EF=C org /C 0 ) and the extraction recovery (ER) could be defined as the percentage of the total analyte which was extracted in the settled phase (ER=C org ×V org /C 0 ×V aq ), where V org and V aq is the volume of the sedimentary organic phase and aqueous phase [22]. For the derivatization reaction, it was difficult to obtain each derivative product to calculate the actual EF and ER.…”
Section: Calculationsmentioning
confidence: 99%
“…The reference showed that the enrichment factor (EF) could be defined as the ratio between be analyte concentration in the sedimentary organic phase (C org ) and the initial concentration of the analyte (C 0 ) in the aqueous sample (EF=C org /C 0 ) and the extraction recovery (ER) could be defined as the percentage of the total analyte which was extracted in the settled phase (ER=C org ×V org /C 0 ×V aq ), where V org and V aq is the volume of the sedimentary organic phase and aqueous phase [22]. For the derivatization reaction, it was difficult to obtain each derivative product to calculate the actual EF and ER.…”
Section: Calculationsmentioning
confidence: 99%
“…Moreover, the behavior of each system as function of effective factors can be predicted through DOE [14] following assessment of global optimal conditions which are based on Derringer's desirability function [18,19]. Modeling the adsorption process has been undertaken by various methods including multiple linear regression (MLR), partial least squares (PLS), principal component regression (PCR), support vector regression (SVR), adaptive network-based fuzzy inference system (ANFIS) and artificial neural networks (ANNs).…”
Section: Introductionmentioning
confidence: 99%
“…DLLME provides many advantages such as relatively high recoveries, high enrichment factors (EFs), simplicity, rapidity, easy to operate, low consumption of organic solvents, and so on. It has been used in extraction and preconcentration of different compounds from various samples (Jofre et al 2010;Bidari et al 2011;Rusnakova et al 2011;Yan et al 2010;Khodadoust and Hadjmohammadi 2011;Farajzadeh et al 2009Farajzadeh et al , 2012aFarajzadeh et al , b, 2014aFarajzadeh and Nouri 2012).…”
Section: Introductionmentioning
confidence: 99%