One-step Extraction of Multiresidue Pesticides in Soil by Microwave-assisted Extraction Technique
M.I. Al- Wabel,
A.M. Al- Turki
A.G. Al- Ghamdi
A screening multi-residues method based on the Microwave-Assisted Extraction (MAE) technique has been optimized using soil samples collected from 15 regions in Saudi Arabia. This method was used to extract 12 pesticide residues with a broad range of physico-chemical properties in agricultural soils containing to Organophosphorous, Organochlorines, Pyrethroids and Carbamates mainly used in agriculture. All MAE factors affecting the extraction techniques (heating, pressure, power, time and solvent volume) of the targeted compounds were studied through experimental design to obtain a simple MAE method and evaluate the optimum extraction condition compared with traditional Soxhlet method for soil samples. The tested pesticide residues in the extracts of both techniques were analyzed by Gas Chromatography-Mass Spectrometer (GC-MS). The results were compared for the percentage of recovery, time consumption and volume of organic solvent used in each extraction procedure. The results indicated that the MAE method had the advantages resulting from the use of a low volume of organic solvent (acetone: hexane, 3:2), an unnecessary cleanup step and good efficiency to extract different groups of pesticides in soils at residual levels in 20 min, this compared with Soxhlet method. All the compounds extracted by MAE method were recovered in good yields and Minimum Detection Limits (MDL) ranging from 0.0001 to 0.004 mg kg-1. The MAE approach was efficient and faster than the Soxhlet method in determining 12 multi-residue pesticides with a broad range of physico-chemical properties in soils without cleanup of the extracts.
March 22, 2010; Accepted: June 05, 2010;
Published: June 26, 2010
The presence of pesticides as environmental contaminants has created concern
about their fate and transport in natural waters, sediments and soils (Kizaa
and Brown, 1998; Harner et al., 1999; Jong-Hun
and Smith, 2001; Hogendoorn et al., 2001;
Sun and Lee, 2003; Gong et al.,
2004). Pesticides wide use could lead to extensive pollution of the environment
and constitutes a potential and/or deliberate risk to human health because some
of these pesticides are classified as a probable human carcinogens (El-Saeid,
1999; Brock et al., 2000; Saunders
and Harper, 1994). Monitoring of pesticide residues in water and soils were
reported by many investigators: Goncalves et al.,
2006; Manirakiza et al., 2003; Oldal
et al., 2006; Shegunova et al., 2006;
Westbom et al., 2008; Zhang
et al., 2006; Shen and Lee, 2003; Chen,
2010. In intensive agriculture, monitoring pestices is necessary, but it
is usually tedious and time-consuming, especially at the extraction stage (Williams,
1990; Saunders and Harper, 1994).
Pesticide determination in soil samples is carried out by different analytical
methods such as Liquid Chromatography-Mass Spectrometry (LC-MS) or Gas Chromatography-Mass
Spectrometry (GC-MS) even if the detection limits depends on matrices, GC-MS
often provides better results than LC-MS in terms of LOD (limits of detection),
except for water and liquid samples (Schreck et al.,
2008; Rashid, 2010).
Microwave-Assisted Extraction (MAE) is a recent extraction method that was
successfully used during last years in the determination of a wide range of
chemicals in many matrices. Therefore, a comparison between recent extraction
methods with traditional extraction methods could be very useful to put forward
new alternatives, which minimize work, time and expense (Pastor,
1997; Pateiro-Moure et al., 2008).
Microwave-Assisted Extraction (MAE) technique was used by Ganzler
et al. (1986) to extract anti-nutritive compounds from various plant
materials. Since, then microwave methodologies have been adapted for other scientific
applications, including the extraction of pesticides (Fuentes
et al., 2006; Yuan et al., 2006; Sporring
et al., 2005; Prados-Rosales et al.,
2002; Tavares et al., 2005). Although, the
advantages of these procedures include reduced solvent usage and shorter analysis
time with less organic solvents, there is the possibility of a new application
of Microwave-Assisted Extraction. Several publications have described its extraction
methodologies for reduced solvent usage and shorter analysis time with less
organic solvents purposes (Le Calves et al., 2002;
Patsias et al., 2002; Barriada-Pereira
et al., 2003; Sun and Lee, 2003; Coscolla,
2009). Microwave energy was supplied to irradiate solvent/sample suspension
for 30 sec several times each and it was found that MAE method was more efficient
than Soxhlet (Singh et al., 2007; Carvalho
et al., 2008; Schreck et al., 2008).
In this study, we studied and described the application of a MAE techniques based on modified extraction approach. The performance of the MAE system was demonstrated by its application in the extraction of pesticide residues from soil samples. The advantage of this approach is to be able to extract solutes from water and soils without using much solvents, cleanup and short time at a low-cost and with simple operation.
MATERIALS AND METHODS
The present study was carried out during the year of 2007 in the Laboratory of the Soil Sciences Department, King Saud University, Saudi Arabia.
Chemicals and reagents: Pesticide standards (Dimethoate, Chloroneb, Methomyl, Oxamyl, Toxaphen, DDT, DDE, Monocrotophos, Chlorpyrifos, Diazinon, Cypermethrin and Lindane) were provided by Chemservice, USA. All pesticide standards were of 98-99% purity. All the solvents (hexane and acetone) used were residue analysis grade. The stock working solutions were prepared in acetone.
Preparation of spiked soil samples: Spiked samples were prepared by
adding an appropriate volume of spiking solution to 5 g of soil. The soil was
spiked with a stock solution of the pesticides (5 mg L-1) prepared
in Acetone. The spiked samples were prepared just before analysis, waiting approximately
30 min until solvent evaporation. Soil samples were extracted by two techniques,
MAE and Soxhlet extraction (Barriada-Pereira et al.,
2003; Sporring et al., 2005). The main purpose
of this step was to calculate the average of the recovery percent of investigated
pesticides by both extraction techniques.
||Optimum conditions of MAE technique for soil samples extraction
Minimum detection limit (MDL): To determine the MDL and perform the
GC-MS quantification using a four-point calibration curve plotting peak area
versus ppm concentration of 12 pesticides using the dilution levels ranged from
0.0001-5.00 ppm (this sentence needs to be re-written).
Extraction of pesticide residues by MAE: The proposed EPA Method 3540C
(USEPA, 1996) and CEM application note No. E003 (CEM
Corporation, 1994) was modified and used while conducting the present study.
A Microwave Assisted Extraction (MAE) system model MES-1000 (CEM Corporation,
Matthews, NC, USA) with Lined Extraction Vessels (LEV) was used. This system
consists of a 950 watt microwave instrument which has been specifically designed
for use with organic solvents. Extraction vessels are double-walled vessels
specifically adapted for use with organic solvents. Preliminary studies were
performed to evaluate MAE efficiency for the effects of temperature, microwave
power, extraction time and solvent volume (Table 1) in extracting
different groups of pesticide residues from soil and water samples. For this
purpose, 5.0 g of soil was weighed in a tetrafluoromethaxil (TFM) microwave
extraction vessel with addition of 1 mL of an aqueous spiking solution containing
mixture of the pesticide standard solution. Samples were equilibrated by shaking
for 1 h before microwave extraction. Finally, all samples were extracted under
different conditions as showed in the results to obtain the optimal MAE conditions
with this procedure. The optimum Extraction conditions with high recovery was
conducted with 5.0 g soil samples. The extraction solvent was 35 mL of Acetone
: Hexane (3:2), pressure was 80 psi, microwave power was 60%, temperature was
120°C and time of extraction 20 min. After extraction, soil extracts were
filtered and evaporated to dryness. The residues were re-dissolved and directly
analyzed by Gas Chromatography- Mass Spectrometer (GC-MS) and clean chromatograms
were obtained without any additional cleanup step.
Extraction of pesticide residues by soxhlet: The extraction was done
by Soxhlet method (Barriada-Pereira et al., 2003;
Sporring et al., 2005). A 5.0 g soil sample was
extracted with Acetone: Hexane (3:2) for 8 h. After extraction, soil samples
were filtered and evaporated to dryness. The residues were re-dissolved in 1
mL of acetone and directly analyzed by Gas Chromatography-Mass Spectrometer
(GC-MS). Clean chromatograms were obtained without any additional cleanup step.
Gas Chromatography-Mass Selective (GC-MS) analysis: Both extracts of Pesticide residues in soil samples extract were performed and analyzed by a HP 5890 series II plus GC coupled to an HP 5972 Mass Selective Detector. The GC columns were a DB-5 fused silica capillary column (30 mx0.32 mm i.d., 1 μm film thickness; J and W Scientific, Folsom, CA). One micro liter of the soil sample extract was injected split less injector temperature of 250°C, on the GC-MS for analysis. The temperature program for the GC was as follows: isothermal for 1 min at 100°C, increased at a rate of 10°C min-1 to 240°C and isothermal for 15 min. Helium was used as a carrier gas (1.2 mL min-1). Quantification was performed using a four-point calibration curve plotting peak area versus ppm concentration. The result was expressed in percentage recovery of pesticide.
RESULTS AND DISCUSSION
Screening and optimum extraction factors of MAE: The application of MAE techniques based on modified extraction approaches were demonstrated by its application in the extraction of 12 pesticide residues with a broad range of physico-chemical properties from agricultural soil samples. Comparative study was carried out by Soxhlet extractor. The evaluation of the extraction efficiency of MAE was affected by 6 factors. These factors were defined to evaluate their contribution to pesticides extraction efficiency of spiked soil samples. The results of this part show the optimum extraction conditions (Table 1) with the average of high recovery ranging from 98.00±2.25 to 102.44±2.73 for all tested pesticides and low MDL.
Minimum Detection Limits of pesticide residues (MDL): The MDL of all tested pesticide residues extracted by modified MAE technique compared with Soxhlet extractor and analyzed by GCMS were determined to evaluate the efficiency and availability of both extraction methods. The averages of MDL ranged from 0.0001 to 0.004 and from 0.002 to 0.012 mg kg-1 for MAE and Soxhlet, respectively as shown in Table 2.
Recovery (%) of pesticide residues in spiked soil samples: Recovery
studies to validate MAE extraction techniques were carried out with spiked soils
obtained by adding a low volume of spiking pesticide solution in acetone to
compare with Soxhlet extractor.
||MDL of tested pesticides in spiked soil samples extracted
by MAE and Soxhlet and determined by GC-MS
||Pesticide recovery (%) and relative standard deviation (RSD,
%) of spiked soil samples extracted by MAE and Soxhlet and determined with
|RSD relative standard deviation
From the comparison of both methods, it was found that higher recoveries were
obtained by modified MAE than Soxhlet for all tested pesticides. On the other
hand, the recoveries by Soxhlet were still good for Lindane, Toxaphen, DDT and
Dimethoate under their respective optimum conditions. Therefore, MAE are suitable
techniques for extracting all tested pesticides from spiked soil with recovery,
% (±RSD) ranging from 98.00±2.25 to 102.44±2.73 and 93.11±2.08
to 97.09±2.36 % for Soxhlet extractor as shown in Table
Monitoring of pesticide residues in soil samples: By applying MAE in
multiresidues, which we thus developed to obtain the optimum conditions, it
was possible to extract 12 pesticides in soil samples (fresh, control or spiked)
in 20 min. GC-MS was applied as analysis technique with high sensitivity of
all 12 detected pesticides in this study (Al-Turki et
||Averages of pesticide residues in soil samples (mg kg-1
soil) extracted by MAE and determined with GC-MS
The results of studied pesticides was shown in Table 4 and
showed that: Dimethoate was detected in 51.85% of total soil samples followed
by Methomyl as 39.63%, Chloroneb as 34.44%. The most important notice in the
results of soil analysis was the detection of the residue of DDT and one of
their derivatives DDE. Both pesticide residues were detected in 4 regions namely,
Al-Qatif, Al-Ahsa, Wadi Al-Dawaser and Gizan. Dimethoate was detected as the
highest contaminant in Abha (0.002-1.220 mg kg-1) followed by DDT
(0.960 mg kg-1) in Wadi Al-Dawaser. Meanwhile, Diazinon was detected
as a lower contaminant. All detected pesticide residues were over the Maximum
Residue Limits (MRLs) i.e., 0.1 mg kg-1 except Monocrotophos and
Diazinon. These results are in agreement with those reported in previous studies
for the soil samples analyzed by MAE (Coscolla et al.,
2009; Carvalho et al., 2008; Schreck
et al., 2008; Oldal et al., 2006;
Shegunova et al., 2006; Westbom
et al., 2008; Chen, 2010).
The described method is efficient and fast to determine multi-residue pesticides in soils. Most of the compounds studied were recovered in good yields with Relative Standard Deviations (RSDs) below 3.5%. The averages of MDL ranged from 0.0001 to 0.004 and 0.002 to 0.012 mg kg-1 for MAE and Soxhlet techniques, respectively. MAE technique had more extraction advantages than Soxhlet such as short time, did not require refluxing large volumes of solvent, cleanup and permitting the simultaneous extraction of several samples. The modified MAE method was successfully applied to the extraction of 12 pesticide residues namely, Dimethoate, Chloroneb, Methomyl, Oxamyl, Toxaphen, DDT, DDE, Monocrotophos, Chlorpyrifos, Diazinon, Cypermethrin and Lindane from soils which were considered an appropriate index to establishing its applications.
The authors would like to thank the Deanship of Scientific Research at King Saud University for financial support through Project # DSR- AR- 2- (14).
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