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Experimental central composite design-based dispersive liquid-liquid microextraction for HPLC-DAD determination of diazinon in human urine samples: method development and validation Cover

Experimental central composite design-based dispersive liquid-liquid microextraction for HPLC-DAD determination of diazinon in human urine samples: method development and validation

Open Access
|Apr 2020

Figures & Tables

Figure 1

Probability plot of the effects
Probability plot of the effects

Figure 2

Surface plots showing the effects of variables with the highest impact on the recovery of the method
(A) The effect of the volume of toluene and methanol; (B) the effect of the volume of methanol and the sodium lauryl sulphate (SLS) concentration; (C) the effect of methanol volume and the sodium chloride (NaCl) concentration
Surface plots showing the effects of variables with the highest impact on the recovery of the method (A) The effect of the volume of toluene and methanol; (B) the effect of the volume of methanol and the sodium lauryl sulphate (SLS) concentration; (C) the effect of methanol volume and the sodium chloride (NaCl) concentration

Figure 3

Specificity of the proposed method for the analysis of diazinon in urine sample
Chromatogram A: blank urine; Chromatogram B: urine spiked with: 1 – tramadol, 2 – azinphos-ethyl, 3 – diazinon, 4 – pirimiphosmethyl, and 5 – chlorpyrifos
Specificity of the proposed method for the analysis of diazinon in urine sample Chromatogram A: blank urine; Chromatogram B: urine spiked with: 1 – tramadol, 2 – azinphos-ethyl, 3 – diazinon, 4 – pirimiphosmethyl, and 5 – chlorpyrifos

Variables and their levels for experimental design

SymbolLevel 3Level 2Level 1Factor
A methanolacetonitriltype of disperser solvent

B 100sonication duration (minute)

Cdichloromethanechloroformtoluenetype of extraction solvent

D600300100volume of extraction solvent (μL)

E10005000volume of disperser solvent (μL)

F531surfactant concentration (% w/v)

G531salt concentration (% w/v)

H1074pH

Experimental ranges and levels of independent variables for the central composite design

α-1-01+α+
MethanolμLA2004006008001000

NaCl%B01234

SLS%C01234

TolueneμLD225300375450525

Experimental conditions according to the central composite design and observed response values

Experiment No.Methanol volume (μL)NaCl conc. (%w/v)SLS conc. (%w/v)Toluene volume (μL)Actual recoveryPredicted recovery
18003.003.00300.0043.7040.72

28003.001.00300.0020.1021.55

38001.003.00450.0082.0080.49

44003.001.00450.0069.2768.99

58001.001.00450.0043.5243.50

64001.003.00300.0046.343.06

74003.003.00450.0063.0061.23

84001.001.00300.0031.8032.99

92002.002.00375.0063.0064.14

1010002.002.00375.0053.5054.13

116000.002.00375.0067.5067.14

126004.002.00375.0029.0028.64

136002.000.00375.0018.0215.94

146002.004.00375.0041.3345.18

156002.002.00225.0042.0042.88

166002.002.00525.0073.6074.48

176002.002.00375.0048.0047.89

186002.002.00375.0046.0047.89

196002.002.00375.0049.0047.89

206002.002.00375.0050.0047.89

216002.002.00375.0044.0047.89

Analysis of variance for the proposed model

SourceSum of SquaresdfMean squareF valuep-value

all p-values are statistically significant

Prob.> F
Model6195.8914442.5641.690.0053

A2223.7812223.77206.490.0007

B72.231172.316.810.0797

C726.082363.0434.20.0086

D862243140.60.0067

E229.052114.5210.790.0426

F1029.912514.9548.510.0052

G915.542457.7743.120.0062

H137.22268.616.460.0817

Residual31.85310.62

Correction Total6227.77417

Analysis of variance for central composite design

SourceSum of squaresdfMean squareF valuep-value

all p-values are statistically significant

Prob. > F
Model840.21176.3763.10<0.0001

A16.28116.2813.450.0052

B112.891112.8993.28<0.0001

C142.351142.35117.63<0.0001

D70.52170.5258.27<0.0001

AB27.88127.8823.040.0010

AC53.21153.2143.97<0.0001

AD44.91144.9137.110.0002

BC19.36119.3616.000.0031

A^231.00131.0025.620.0007

C^284.41184.4169.75<0.0001

D^226.72126.7222.080.0011

Residual10.8991.21

Lack of Fit7.3751.471.670.3196

Pure Error3.5340.88

Cor Total850.9120

Comparison of the proposed DLLME-HPLC-DAD with other analytical methods for determination of diazinon in biological samples

MethodMatrixLOD (μg/mL)Correlation coefficient (R2)Recovery (%)Ref. No.
SPE-GC-MSwhole blood0.150.998178–8715

SPE-HPLC-DADplasma0.150.99877.7–86.317

LLE-HPLC-DADwhole blood, serum, urine0.780.999697.4–99.01 (for blood and serum)101.1–101.4 (for urine)16

mini-QuEChERS-LC-MS-MSwhole blood, gastric content0.10.9580–10018

MEPS-GC-MS-MSwhole blood0.50.9961–7726

DBS-GC-MS-MSwhole blood0.050.9984.56–5.1127

DLLME-HPLC-DADurine0.150.99375.0–95.6this study

Method precision and accuracy (intra-day: n=5; inter-day: n=5 series per day, 3 days)_

Diazinon concentration (μg/mL)Intra-day (n=5)
Inter-day (n=5)
Mean±SDCV (%)Recovery±SD (%)Mean±SDCV (%)Recovery±SD (%)
0.50.46±0.047.492.1±1.00.48±0.036.995.6±1.0

10.76±0.023.376.0±2.00.75±0.011.275.0±1.1

32.33±0.094.077.4±0.92.31±0.114.977.1±1.4
DOI: https://doi.org/10.2478/aiht-2020-71-3292 | Journal eISSN: 1848-6312 | Journal ISSN: 0004-1254
Language: English, Croatian, Slovenian
Page range: 48 - 55
Submitted on: May 1, 2019
Accepted on: Feb 1, 2020
Published on: Apr 9, 2020
Published by: Institute for Medical Research and Occupational Health
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2020 Reza Mohammadzaheri, Mehdi Ansari Dogaheh, Maryam Kazemipour, Kambiz Soltaninejad, published by Institute for Medical Research and Occupational Health
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.