J. Plant Prot. and Path., Mansoura Univ., Vol. 3 (3): 273 - 287, 2012
DETECTION OF PESTICIDE RESIDUES AND HEAVY
METALS IN WHEAT SAMPLES COLLECTED FROM LOCAL
MARKETS IN DIFFERENT EGYPTIAN GOVERNORATES
El-Zemaity, M. S.1 ; M. A. El-Hashash2 ; Mona A. Khorshed 3 and
Ghada A. Ali3
1
Plant Protection Department - Faculty of Agriculture - Ain Shams
University
2
Chemistry Department – Faculty of Science – Ain Shams University
3
Central Laboratory of Residue Analysis of Pesticides and Heavy Metals
in Food – Agricultural Research Centre
ABSTRACT
One hundred and fifty five wheat samples were collected from
different local markets located in ten governorates in Egypt. All samples were
subjected to multiresidue analysis to investigate the residues of
organochlorine, organophosphorous, organonitrogen and some pyrethroids.
However, only eighty three samples were subjected to heavy metals analysis
to investigate lead (Pb), cadmium (Cd), and copper (Cu) levels. In
multiresidue analysis, results showed that 60.6 % of all samples analyzed
had no detectable pesticide residues, while 39.4% of samples were
contaminated with one or more than pesticide residue of malathion,
chlorpyrifos-me,
pirimiphos-methyl,
fenitrothion,
chlorpyrifos
and
diniconazole. Also, malathion recorded the highest contamination and
violation percentages, where 37.4% of the total number of samples analyzed
were contaminated and only 2.6% of samples exceeded the malathion
Maximum Residue Limit (MRL) established by Codex Alimentarius
Commission on Pesticide Residues (CCPR) (0.5 mg/kg). In heavy metals
analysis, the results revealed that all analyzed samples were contaminated
with at least one of the three investigated elements (Cd, Pb, and Cu), where
the contamination percentage was 100%, of which 18.1% exceeded the
Maximum Limits (ML's) of the detected elements. Copper was the most
frequently detected element, followed by cadmium, and the lowest was lead.
Keywords: pesticide residues, heavy metals, wheat, detection, Egypt.
INTRODUCTION
Wheat (Triticum spp.) (Johnson and Manske 1977) is a grass that is
cultivated worldwide. Globally, it is an important human food grain ranking
second in total production as a cereal crop behind maize; the third being rice
(Mukherjee et al., 1980). One third of wheat grain yield is consumed by
milling and baking mainly for the production of bread which is an important
component of every day diet in many countries.
Wheat grain is a staple food used to make flour for leavened, flat and
steamed breads; cookies, cakes, pasta, noodles and couscous (Fytianos et
al., 1985); and for fermentation to make beer (Vaidya et al., 1991), alcohol,
vodka (Battu et al., 1996) or biofuel (Abou-Arab et al., 1999). Wheat is
planted to a limited extent as a forage crop for livestock, and the straw can be
used as fodder for livestock or as a construction material for roofing thatch
El-Zemaity, M. S. et al.
(Correia et al., 2000; Abou-Arab and Abou Donia2001).
The wide spread contamination of pesticide residues in food is due to
their extensive applications in agriculture to control pests during pre- and
post-harvest practices. Most commonly used pesticides for protecting wheat
grain against insects attack during storage are organophosphate pesticides
(Arthur, 1992; Arthur, 1996; Stathers et al., 2002; Lalah and Wandiga, 2002),
synthetic pyrethroids (Weidner, 1989; Athanassiou et al., 2004) and
fungicides (Ahmed, 2001). The wide spread contamination of organochlorine
pesticide residues in food is due to either their direct applications or more
importantly industrial emission in environment.
The key disease, pest, growth and storage problems in cereals may
require the use of pesticides. Only those cereal problems which result in
residues or require treatment relatively close to harvest and therefore have a
greater risk of leaving residues have been included. The problems are rated
for their importance according to their effect on crop yield and also for the
occurrence of residues that might arise from the use of pesticides to control
the problem.
On the light of increasing reports on pesticide contamination of
food commodities (Johnson and Manske 1977); Mukherjee et al., 1980;
Fytianos et al., 1985; Vaidya et al., 1991; Battu et al., 1996; and Abou-Arab
et al., 1999) consumers and buyers are becoming more aware of the
importance of safe and high quality food products (Correia et al., 2000
and Giannou et al., 2003).
Also, heavy metals are among the most frequently encountered
contaminants in the environment. Several reports have focused on the
residues of numerous heavy metals in foodstuffs (Cabrera et al., 1995; Llobet
et al., 1998). Other reports have delineated on the contamination of the
cereal products; including bread with heavy metals. (Hubbard and Lindsay,
1979) reported that the major route of man’s exposure to heavy metal was
ingestion. Even in the case of lead, where the use of leaded petrol products,
ambient lead levels comes higher than other heavy metals pollutants, direct
inhalation contributes less to the total body burden than ingested lead. The
main contributors, therefore, to heavy metals in the body were the foods
consumed.
The aim of this study is to investigate the levels of pesticide residues
and some heavy metals (Cu, Cd, and Pb) in wheat samples collected from
different governorates located in Egypt.
MATERIALS AND METHODS
Sampling:
A total of one hundred and fifty five wheat samples were collected from
the local markets or retail shops in ten Egyptian governorates (Beni Seuef,
Cairo, Damietta, Fayoum. Gharbiya, Giza, Ismalia, Minufiya, Qalyubiya and
Sharkyia,).
Each sample weighed one kilogram as a result of four
subsamples 250 gm each from different wheat bags. Samples were mixed,
grinded and homogenized using an electrical apparatus (Bamix - with
platinum cutter) according to the Codex Guidelines vol. 2; 1993 to give a
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representative sample of fine grinded wheat. Analysis of samples was carried
out directly on their arrival to the laboratory or they were stored at 0-5º C.
Sample Analysis:
All reference pesticides were certified standards and were provided by
Dr. Ehrenstorfer Gmbh, Gogginer str. 78 D-8900 Augoburg. Germany, and by
the FAO (Food Agriculture Organization of the United Nations, Rome, Italy
and were prepared in n-hexane / acetone mixture (9:1).
Metals stock standards of Cu, Pb and Cd were Merck 1000 mg/L. For
AAS, the intermediate and working solutions of Cd, Pb, and Cu prepared
from stock solution with different concentrations in 0.3 % HNO 3.
Pesticide Residue Analysis
Extraction and Clean-up
According to the method described by (Luck et al., 1981), pesticide
residues were extracted from grinded dry samples (wheat samples) by
blending with acetone and distilled water. A large number of pesticide
residues cross from the aqueous filtrate into the organic phase by shaking
with petroleum ether and dichloromethane. The clean up step was carried out
as described by (Suzuki et al., 1979) using a florisil column. Organic phase
was concentrated just to dryness and dissolved in hexane/acetone; 9:1 for
GC detection. This method allows the determination of 80 pesticide residues.
Table (1) shows the common name and limits of quantification of these
pesticides.
Table (1): Analyzed Pesticides and their Limits of Quantification
S/N
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
Pesticide
Acephate
Alachlor
Atrazine
Bendiocarb
Bromopropylate
Carbaryl
Carbosulfan
Captan
Chlorothalonil
Chlorpyrifos
Chorpyrifos-methyl
Chlordane-cis
Chlordane-trans
Cyanophos
Cyfluthrin
Cypermethrin
18
19
20
21
22
23
24
25
26
27
Chlorpropham
DDD-p,p
DDE-p,p
DDT-o,p
DDT-p,p
Deltamethrin
Diazinon
Dichlofluanid
Dicofol
Dieldrin
Lambadacyhalothrin
LOQ S/N
Pesticide
LOQ S/N
Pesticide
0.01 28 Dimethoate
0.05 55 Omethoate
0.02 29 Diniconazole
0.10 56 Oxidiazone
0.10 30 Edifenfos
0.02 57 Parathion
0.10 31 Endosulfan-alpha
0.02 58 Parathion-methyl
0.05 32 Endosulfan-beta
0.02 59 Pendimethalin
0.50 33 Endosulfan sulphate 0.10 60 Permethrin
0.10 34 Endrin
0.10 61 Phenthoate
0.10 35 Ethion
0.10 62 Phosalone
0.02 36 Fenamiphos
0.02 63 Phosphamidone
0.02 37 Fenitrothion
0.05 64 Pirimicarb
0.05 38 Fenpropathrin
0.05 65 Pirimiphos-ethyl
0.02 39 Fenthion
0.01 66 Pirimiphos-me
0.02 40 Fenvalerate
0.01 67 Procymidone
0.05 41 HCH-alpha
0.02 68 Profenofos
0.10 42 HCH-beta
0.01 69 Promicarb
0.10 43 HCH-delta
0.02 70 Propiconazole
0.10 44 HCH0.01 71 Prothiofos
gamma(lindane)
0.50 45 Heptachlor
0.01 72 Pyrazophos
0.02 46 Heptachlor epoxide. 0.01 73 Tebuconazole
0.02 47 Hexachlorobenzene 0.01 74 Tetradifon
0.02 48 Imazailil
0.50 75 Tolcophos-me
0.02 49 Iprodion
0.02 76 Triadmefon
0.20 50 Malathion
0.20 77 Triadimenol
0.05 51 Metalaxyl
0.05 78 Triazophos
0.05 52 Metamidiphos
0.10 79 Trifluraline
0.02 53 Metrtibuzin
0.05 80 Vinclozolin
0.01 54 Monocrotophos
275
LOQ
0.05
0.10
0.05
0.05
0.10
0.10
0.10
0.05
0.10
0.05
0.02
0.05
0.05
0.02
0.10
0.10
0.02
0.02
0.10
0.03
0.02
0.05
0.10
0.02
0.01
0.01
El-Zemaity, M. S. et al.
Quality Assurance procedures:
All analytical methods and instructions were carefully validated as a
part of the laboratory quality assurance system and were audited and
accredited by the Center of Metrology and Accreditation Finnish Accreditation
Service (FINAS) ISO/IEC Guide 25. The criteria of quality assurance were
described in (Dogheim et. al.2002). The recoveries were between 70-120%
and CV less than 20%. Low level fortification of all samples with the
contaminants of interest has been carried out to ensure that the method
performed satisfactory for the particular food examined. Analysis of duplicate
of samples represents precision of analysis.
Determination
All analytical methods and instruments were fully validated as a part of
the laboratory quality assurance system and were audited and accredited by
the Center of Metrology and Accreditation Finnish Accreditation Services
(FINAS) under the requirements of ISO 17025. The criteria of quality
assurance were described in (Dogheim et al., 2002). The recoveries were
between 70-120% and coefficient of variation was less than 20%. Fortification
of wheat samples with the contaminants under study has been carried out to
ensure that the method performed satisfactory for the particular commodity
examined. Analysis of duplicate samples represents precision of analysis.
Qualitative and quantitative determination of pesticide residues was
carried out using gas liquid chromatographic technique (GLC technique). The
used gas chromatographs were Agilent 6890 series; one equipped with
double electron capture detector (ECD) to detect organochlorine and
pyrethroids residues and the other with double nitrogen phosphorus detector
(NPD) to detect organonitrogen and organophosphorus residues; both GCECD and GC-NPD have the following parameters:
Columns:
Column-A; Agilent Technologies PAS-5 (5% diphenyl and 95%
dimethylpolysiloxane) with internal diameter 0.32 mm, film thickness 0.52 um,
column length 25m, phase ratio 150, nitrogen flow rate 1.5 ml/min carrier,
total flow (carrier + makeup) 55 ml/min.
Column-B; Agilent Technologies PAS-1701 (14% cyanophenyl
methylpolysiloxane) with internal diameter 0.32mm, film thickness 0.25 um,
column length 30 m, phase ratio 150, nitrogen flow rate 1.3 ml/min carrier,
total flow (carrier + makeup) 55 ml/min. septum purge 3 ml/min, purge flow 50
ml/min, purge time 0.7min, air flow 60 ml/min.
o
o
Oven program: initial temperature 90 C for 2min; ramp (1) 20 ( C/min) to
o
o
o
150 C, ramp (2) 6 ( C/min) to 270 C hold 15min.
injector temperature 225ºC, detector temperature 280 ºC, where detector
A: make up gas (N2) flow rate 8 ml/min, H2 flow rate 4.5 ml/min., detector
B: make up gas (N2) flow rate 6 ml/min, H2 flow rate 4.8 ml/min., septum
purge 5 ml/min, splitless time 0.75 min, purge flow 34 ml/min.
Heavy metals analysis
Digestion
The analytical methodology used was that described in the thesis of
(NMKL, 1991). The sample was digested by wet digestion technique using
concentrated nitric acid in a digestor (Techetor, 2020), and the digestion
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J. Plant Prot. and Path., Mansoura Univ., Vol. 3 (3), March, 2012
residue dissolved into 0.3% HNO3. (0.5–1g) of dried samples were
transferred to glass digestion tubes, (1-2) ml distilled water added and 10 ml
of conc. HNO3. The solutions were boiled for 72 hours. The nitric acid
solution was evaporated almost to dryness and the residue was transferred
with 0.3% HNO3 to 25 ml volumetric flask.
Quality control procedure:
All analytical methods and instruments were fully validated as a part of
the laboratory quality assurance system and were audited and accredited by
the Center of Metrology and Accreditation Finnish Accreditation Services
(FINAS) ISO/IEC Guide 25. The criteria of quality assurance described in
(Dogheim et a.l 2002). The recoveries were between 70-120% and CV less
the 20%. Fortification of all samples with the contaminants of interest has
been carried out to ensure that the method performed satisfactory for the
particular food examined. Analysis of duplicate samples represents precision
of analysis. Limits of Quantification were the limit of quantification of lead,
cadmium, and copper was 0.04, 0.002, and 0.5 (mg/kg), respectively.
Determination
Cadmium, copper, and lead were determined by Atomic Absorption
Spectroscopy (AAS), using deuterium lamp for background correction. The
used Atomic absorption spectrometer was (Analytical technology, INC,
Unicam 929) equipped with graphite furnace with auto sampler and flame
atomic absorption. Typical furnace parameters for Cd and Pb in AAS are
given in table (2).
Table (2): Typical furnace parameters for Cd and Pb in AAS
Step
Drying
Ashing
Atomization
Cleaning
Cooling
Temp. (ºC) Time (sec)
120
800
1800
2500
20
40
20
3
3
5
Ramp
(ºC/sec)
30 (Cd), 10 (Pb)
50
0
0
0
Gas flow
(ml/min)
2
2
0
2
2
RESULTS AND DISCUSSION
Pesticide residues analysis:
Table (3) listed the number of samples analyzed, as well as the
percentage of the samples that contained detectable pesticide residues, also
their minimum, maximum and mean concentrations, number and percentage
of samples that exceeded the MRL's established for pesticide.
Overall, 60.6 % of all samples analyzed had no detectable pesticide
residues, while 39.4 % of samples were contaminated with one or more than
pesticide residues, of which 2.6% was violated. The detected pesticides were
malathion, chlorpyrifos-me, pirimiphos-me, fenitrothion, diniconazole, and
chlorpyrifos. The most frequently detected pesticides in decreasing order of
frequency percentage were malathion (37.4%), chlorpyrifos-me (10.3%),
pirimiphos-me (1.94%), fenitrothion, chlorpyrifos, and diniconazole (0.65%).
Malathion detected in 58 wheat samples (37.4%), with mean values ranged
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El-Zemaity, M. S. et al.
from (0.05 to 1.25 mg/kg).The mean concentration of chlorpyrifos -me varied
from (0.05 – 0.29 mg/kg).
Also, data showed that the highest contamination percentage observed
in the wheat samples collected from El-Fayuom governorate (75%), followed
by Giza governorate (64%), and then by Ismalia. However the lowest
contamination percentage recorded in the samples collected from Minufiya
governorate (12.5%).
Concerning health hazards, the Maximum Residue Limits (MRL's) for
malathion on wheat established by Codex Alimentarius Commission on
Pesticide Residues (CCPR, 2005) are 0.5 mg/kg. The violations of the
malathion Maximum Residue Limits (MRL's) were observed in only four
samples (i.e. 2.6% of 155 total number of samples analyzed). The highest
percentage of violations occurred in three wheat samples collected from Giza
(10 % of total no. of samples analyzed, 48) and in one sample which
collected from Qalybiya governorate.
In general, one would expect the higher residue concentrations for
those pesticides used close to or at harvest, as well as lower residue
concentrations would be expected for treatments earlier in the season. The
causes of violations may be due to compliance with pre-harvest interval for
the different pesticides may be causing the violations. A violative sample
doesn't necessary imply a health risk since the (MRL's) is based on a lifetime
of exposure and incorporates a large safety margin.
Pirimicarb, finitrothion and malathion are the recommended pesticides
on the wheat crop according to the agriculture recommendations (2001). The
contamination of wheat with such pesticide residues may be either due to
their direct use for protecting wheat plants at field and grains at storage
conditions or indirectly from the contaminated environmental sources.
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Heavy metals analysis:
Table (4) shows the minimum, maximum, and mean concentration
levels of Cd, Pb, and Cu contaminants, and also, the contaminated samples
number and percentage, the violated elements and samples, detected in
eighty three samples of wheat collected from different Egyptian local markets
located in ten governorates.
The results listed in table (4) revealed that all the analyzed samples,
collected from different governorates, contaminated with at least one of the
three investigated elements (Cd, Pb, and Cu), and the contamination
percentage was 100%, of which 18.1% of all samples analyzed exceeded the
maximum limits of the detected elements. The copper was the most
frequently detected element in the analyzed samples, where the
contamination percentage was 100%. However, 95.2% of all samples
analyzed were contaminated with cadmium (Cd). The lead (Pb) was detected
in only 57.8% of the total samples analyzed but had the highest violation
percentage, where its levels were exceeded in only fifteen samples (i.e
violation percentage was 18.1% of the total samples analyzed). However, the
cadmium levels were exceeded in only two samples (i.e. violation percentage
was 2.4% of the total samples analyzed).
Today, foodstuff and water are the basic sources for daily lead intake
for adults and children. Table (4), demonstrates that lead (Pb) concentration
ranged from (0.04 to 4.8 mg/kg). The highest mean concentration of Pb
recorded in the samples collected from El- Sharkyia (4.8 mg/kg), followed by
El- Qalyuibya (0.24 mg/kg). However, the lowest mean value (0.1 mg/kg) was
detected in the samples collected from El- Minufiya governorate.
Also, data showed that the highest contamination percentage (100%)
of Pb was recorded in the samples collected from (Beni Suef, El-Fayoum, ElMinufiya, and El-Sharkyia governorates. While, the lowest contamination
percentage was detected in the samples collected from Giza governorate
(45.7%). Also, all samples collected from Damietta were free from Pb
contaminate. On the other hand, the levels of Pb exceeded its established
maximum limit (0.2 mg/kg), in fifteen samples, out of 83 total number of
samples analyzed (i.e. 18.1 %), five samples from Cairo governorate (i.e. the
violation percentage was 25% out of 20 samples collected from Cairo), three
from Giza governorate (i.e. 8.6 % violation percentage), two from Qalyubiya
(i.e. 50 % violation percentage), one from each of Beni Suef, Fayoum,
Gharbiya, Ismalia, and Sharkiya governorates, where the violation
percentage, calculated relative to the total number of samples analyzed, was
1.2 % for each.
The most probable sources of contamination for lead transferred to the
wheat may be due to the presence of lead in the environment because of air,
soil, and water pollution. Where, the main sources of the lead pollution in the
environment may be industrial production processes and their emissions or
liquid effluents, road traffic with leaded petrol, the smoke and dust emissions
of coal and gas fired power stations. Also, may be due to the application of
some phosphate fertilizers and pesticides contained some lead, mainly as
lead arsenate base.
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4
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4
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El-Zemaity, M. S. et al.
Cadmium is a metal toxic as lead. It is such accumulative poison, and
mainly accumulated in kidney and liver in human beings. Food is the major
source for cadmium intake of human body (Tati et al., 1976; Biddle, 1982;
Dunnick and Fowler, 1988; Robards and Worsfold, 1991). Data showed that
most wheat samples collected from all ten governorates were contaminated
with Cd contaminant. The mean cadmium values were varied between 0.002
and 0.25 mg/kg. The highest mean cadmium value was found as 0.062
mg/kg in wheat samples obtained from Sharkiya governorate. However, the
lowest mean value (0.011 mg/kg) was recorded in samples collected from El Minufiya and El - Qalyubiya governorates. Also data showed that the levels of
Cd exceeded the maximum limit (0.2 mg/kg) established for Cd in only two
samples collected from Cairo governorate, where the violation percentage
was 10% out of 20 collected samples.
The contamination with Cd may be due to field application of
phosphate fertilizers containing Cd as impurity or due to the biosphere
contamination due to its emission in the industrial processes such as
batteries, metal melting and refining, coal and oil-fired power stations,
electroplating plants, etc.
Copper (Cu) has been recognized as an essential element for many
years, due to its presence in important proteins and enzymes. High levels of
Cu can cause acute toxicity. Human deaths have been known to occur from
deliberate ingestion of large quantities of copper sulfate. As shown in the
table (4), all wheat samples collected from ten governorates were
contaminated with Cu, where the contamination percentage was 100 %, and
the mean copper concentration ranged between 4.1 and 354 mg/kg. The
highest mean value of Cu (354 mg/kg) was detected in samples collected
from El-Sharkiya governorate. While, the lowest mean concentration (4.1
mg/kg) recorded in samples from Beni Suef governorate.
The contamination of wheat samples with copper may be due to the
soil or water contamination as a result of the application of fungicides or
fertilizers containing Cu.
Reviewing the obtained data of multiresidue analysis, it could be
concluded that malathion was the most frequently detected pesticide residue
(detected in 58 out of 155 (37.4%) samples), followed by chlorpyrifos-me
(detected in 16 out of 155 (10.3 %) samples). Those compounds are broad
spectrum organophosphorous pesticides used against several insect species.
Violation was observed in only four samples (2.6% of the total samples
analyzed), where malathion exceeded its established MRL.
Also, the obtained data in case of heavy metal analysis threw the light
on the highest violation percentage recorded by lead (18.1% of samples
exceeded its maximum limit) in spite of its lowest contamination percentage
(57.8%) compared with Cd (95.2%) and Cu (100%).
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الكشف عن متبقيات المبيدات والعناصر الثقيلة بعينات القمح المممعحة محن ااقحوا
المحلية بمحافظات مصرية مختلفة
محمحححد قحححعيد الزميتححح ( ،)1محححا ر أحمحححد الحشحححا ( ،)2منححح عبحححد العزيحححز خورشحححيد( ،)3و
()3
غادة عادل عل
( )1ققم وقاية النباتحات – كليحة الزراعحة – مامعحة عحين شحم )2( ،ققحم الكيميحا – كليحة العلحوم –
مامعة عين شم )3( ،المعمل المركزى لتحليل متبقيحات المبيحدات والعناصحر الثقيلحة فح ااغ يحة –
مركز البحوث الزراعية.
تم تجميع 599عينة قمح من أسواق محلية بعشر محافظات مصرية .وقد ضعدعت هدال انعيندات جميعدا
نلتحليل انمتع نلكشد عدن متبايدات انمبيد ات انععدوية انتابعدة نمجموعدات انكلدورينو انروسدرورو اننيتدروجينو
وبعض انمبي ات انبيروثروي يدة .وفادف فد ن <7عيندة منادا قد ضعدعت نتحليدل انمعدا ن انثايلدة نتاد ير مسدتويات
انرصدا )(Pbو انكددا ميوم )(Cdو واننحدا ) (Cuباددا .وقد نددت نتداحل انتحليددل انمتعد نلمتبايددات عدن عد م
انكش عن أى متبايات نلمبي ات من %:.0:من انعينداتو وأن نسدبة %7=08منادا كاندت ملوثدة بمتبادي مبيد
واح د أو أكثددر مددن كددل مددن مددايثيونو كلوربيريرددو -ميثيددلو بيريميرددو -ميثيددلو فينترثيددونو كلوربيريرددو و
و اينيكونازول .وق نت اننتاحل أيعا أن مبي مايثيون ق سجل أعلي نسدبة تلدو نعيندات انامدح )%7;08و و
ق د تعدد ى مسددتوى انمتبايددات فددي بعددض انعينددات انملوثددة انحدد القصددي انمسددموب بدد مددن متبايددات انم ثيددون
)%60:تبعا نمواصرات انكو ك .09مجم/كجم).
وباننسبة نلمعا ن انثايلة فا ندت اننتداحل أن كدل انعيندات انتدي تدم تحليلادا ملوثدة بواحد أو أكثدر مدن انمعدا ن
انث ثددة انتددي اسددتا فتاا ان راسددة انرصددا و انكددا ميومو اننحددا ) حي د بل ددت نسددبة انتلددو %5..و وأن مددن
بيناا نسبة %5<05ق تع ى مستوى انتلو باا انح القصي انمسموب ب و وكان اننحا أكثر انعناصدر انثايلدة
انتي تم انكش عناا ت ل في انك انكا ميوم ثم انرصا .
كلمات مفتاحية :متبايات انمبي اتو معا ن ثايلةو قمحو انكش و مصر.
قام بتحكيم البحث
كلية الزراعة – مامعة المنصورة
مركز البحوث الزراعية
أ.د /عل عل عبد الهادى
أ.د /اشرف محمود حقن المرصف
287
El-Zemaity, M. S. et al.
288
J. Plant Prot. and Path., Mansoura Univ., Vol. 3 (3): 273 - 287, 2012
Table (3): Minimum, maximum, mean values of pesticide residues together with the frequency, number and
percentage of contaminated and violated wheat samples collected from different Egyptian governorates
Governorate
Total No. Contaminated Samples Detected
of samples
Pesticides
Beni Suef
8
No.
2
%
25
Cairo
31
7
22.6
Damietta
5
2
40
Fayoum
4
3
75
Gharbiya
9
3
33.3
Giza
48
31
64.6
Malathion
Malathion
Chlorpyrifos-Me
Fenitrothion
Malathion
Chlorpyrifos-Me
Malathion
Chlorpyrifos-Me
Malathion
Chlorpyrifos-Me
Permethrin
Fenitrothion
Malathion
Chlorpyrifos-Me
Pirimiphos-Me
Diniconazole
Contaminated
samples with
Min.
each
(mg/kg)
pesticide
No.
%
2
100
0.06
6
85.7
0.05
3
42.9
0.05
1
14.3
0.05
2
100
0.05
1
50
0.09
3
100
0.05
1
33.3
0.07
2
66.7
0.05
2
66.7
0.06
1
33.3
0.2
1
33.3
0.24
30
96.8
0.05
9
29
0.05
3
9.68
0.03
1
3.2
3.2
Max.
(mg/kg)
Mean
(mg/kg)
MRL
(mg/kg)
0.16
0.12
0.1
0.05
0.13
0.09
0.41
0.07
0.12
0.52
0.2
0.24
2.1
0.42
0.2
3.2
0.11
0.065
0.067
0.05
0.09
0.09
0.17
0.07
0.085
0.29
0.2
0.24
0.28
0.146
0.09
3.2
0.5
0.5
10
[10]
0.5
10
0.5
10
0.5
10
**
[10]
0.5
10
[10]
**
Violated
compound
No.
0
0
0
0
0
0
0
0
0
0
--0
3
0
0
---
%
0
0
0
0
0
0
0
0
0
0
--0
6.25
0
0
---
El-Zemaity, M. S. et al.
Table (3) continued:
Contaminated
samples with
Min.
Max.
Mean
each
(mg/kg) (mg/kg)
(mg/kg)
pesticide
No.
%
No.
%
Malathion
6
100
0.05
0.11
0.065
Ismailia
14
6
42.9
Chlorpyrifos-Me
2
33.3
0.05
0.05
0.05
Minufiya
8
1
12.5
Malathion
1
100
0.05
0.05
0.05
Malathion
3
100
0.07
3.6
1.25
Qalyubiya
14
3
21.4
Chlorpyrifos-Me
1
33.3
0.08
0.08
0.08
Malathion
3
75
0.05
0.29
0.13
Sharkiya
14
4
28.6
Chlorpyrifos
1
25
0.05
0.05
0.05
Total
155
61
39.4
Malathion
58
37.4
Chlorpyrifos-Me
16
10.3
Fenitrothion
1
0.65
Pirimifos-Me
3
1.94
Diniconazole
1
0.65
Chlorpyrifos
1
0.65
* = Maximum Residue Limit (MRL) issued by Codex Committee of Pesticide Residues (CCPR) (2008)
** = MRL is not available
[ ] extrapolated on cereal grains
Total No. Contaminated Samples Detected
Governorate
of samples
Pesticides
290
MRL
(mg/kg)
0.5
10
0.5
0.5
10
0.5
0.5
Violated
compound
No.
0
0
0
1
0
0
0
4
%
0
0
0
7.14
0
0
0
2.6
J. Plant Prot. and Path., Mansoura Univ., Vol. 3 (3), March, 2012
Table (4): Minimum, maximum, mean values of heavy metals together with the frequency, number and
percentage of contaminated and violated wheat samples collected from different Egyptian
governorates.
Governorate
Total No.
of
samples
Contaminated
Samples
No.
Elements
%
Beni Suef
1
1
100
Cairo
20
20
100
Damietta
2
2
100
Fayoum
3
3
100
Gharbiya
6
6
100
Giza
35
35
100
Ismailia
10
10
100
Cd
Cu
Pb
Cd
Cu
Pb
Cd
Cu
Pb
Cd
Cu
Pb
Cd
Cu
Pb
Cd
Cu
Pb
Cd
Cu
Pb
Contaminated
samples with
each element
No.
%
1
100
1
100
1
100
19
95
20
100
12
60
2
100
2
100
0
0
3
100
3
100
3
100
6
100
6
100
4
67
34
97
35
100
16
45.7
8
80
10
100
8
80
291
Min.
(mg/kg)
Max.
(mg/kg)
Mean
(mg/kg)
ML
(mg/kg)
0.031
4.1
0.23
0.003
0.22
0.04
0.04
3.9
0
0.008
5
0.04
0.004
2.63
0.022
0.006
0.92
0.04
0.002
3.4
0.04
0.031
4.1
0.23
0.25
9
0.5
0.06
4.8
0
0.04
8.8
0.28
0.015
11.2
0.22
0.074
12.1
0.48
0.13
4.8
0.51
0.031
4.1
0.23
0.05
4.78
0.122
0.05
4.35
0
0.022
6.47
0.15
0.05
5.82
0.103
0.038
4.98
0.13
0.033
4.28
0.145
0.2
**
0.2
0.2
**
0.2
0.2
**
0.2
0.2
**
0.2
0.2
**
0.2
0.2
**
0.2
0.2
**
0.2
Violated
element
No.
0
-1
2
-5
0
-0
0
-1
0
-1
0
-3
0
-1
%
0
-100
10.5
-25
0
-0
0
-33.3
0
-16.7
0
-8.6
0
-10
Violated
samples
No.
%
1
100
5
25
0
0
1
33.3
1
16.7
3
8.6
1
10
El-Zemaity, M. S. et al.
Table (4) continued:
Contaminated
samples with
Min.
Max.
each element
(mg/kg)
(mg/kg)
No.
%
No.
%
Cd
1
100
0.011
0.011
Minufiya
1
1
100
Cu
1
100
7.7
7.7
Pb
1
100
0.1
0.1
Cd
4
100
0.002
0.018
Qalyubiya
4
4
100
Cu
4
100
4.03
8.1
Pb
2
50
0.23
0.25
Cd
1
100
0.062
0.062
Sharkiya
1
1
100
Cu
1
100
354
354
Pb
1
100
4.8
4.8
Total
83
83
100
Cd
79
95.2
Cu
83
100
Pb
48
57.8
Maximum Limits (ML) of the heavy metals on wheat samples issued by the codex committee
(2008).
** : no ML established for Cu on wheat.
Governorate
Total No.
of samples
Contaminated
Samples
Elements
292
Mean
ML (mg/kg)
(mg/kg)
Violated
element
Violated
samples
No.
%
No.
%
0
0
--0
0
0
0
0
0
--2
50
2
50
0
0
--1
100
1
100
2
2.4
15
18.1
15
18.1
on Food Additive and Contaminants (CCFAC)
0.011
7.7
0.1
0.011
5.61
0.24
0.062
354
4.8
0.2
**
0.2
0.2
**
0.2
0.2
**
0.2