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Biological Monitoring of Exposure to Carbamate
Fungicides: determination of ethylene- and
propylenethiourea by UHPLC-ESI-MS/MS
Cristina Sottani
Lowry Centre, Manchester
9th - 11th September 2013
Plant Protection Products (PPPs)
The most widely used fungicides in agriculture are the alkali and metal salts of
the alkelenebis-(dithiocarbamate) acids. The alkelenebis-(dithiocarbamates)
(DTCs) can be divided into 3 subgroups:

dimethyl dithiocarbamates
(ferbam, thiram and ziram);

ethylene bisdithiocarbamates (EBDCs)
(mancozeb, maneb, metiram, nabam and zineb);

propylene bisdithiocarbamates (propineb).

15/10/2013

Cristina Sottani,                        
Fondazione Salvatore Maugeri  

2
Use and Composition of PPPs in Europe and in Italy
Total amount (220.000 tons ) of PPPs in the EU-25, 2007
Quantity of the PPP in the Top 5 Member States

64% of fungicides

Total amount (50.000 tons) and Composition
of Plant Protection Products in Italy

Tonnes of

AS

80000

83% of fungicides

60000
40000
20000
0
1992 1993 1994 1995 1996
1997

15/10/2013

Fungicides
Herbicides
Insecticides
Others

Cristina Sottani,                        
Fondazione Salvatore Maugeri  

1998

1999

2000

2001

2002

2003

3
Proposed animal metabolism of DTCs

(M01)

Propineb
Propineb
Pro

(M01)

R

Mancozeb

R=H
Ethylenethiourea (ETU)
R=CH3 Propylenethiourea (PTU)

15/10/2013

Cristina Sottani,                  
Fondazione Salvatore Maugeri  

4
Analytical methods to measure ETU in human urine
Method

Sample Preparation

Analytical System

Detection Limit

Aprea et al., 1993

LLE with dichloromethane

HPLC/DAD

LOQ=0.5 mg/g 
(creatinine)

Debbart & Moore, 2002

LLE with dichloromethane

HPLC/UV

LOD=0.5 mg/L

Sottani et al., 2003

LLE with dichloromethane

HPLC/ESI‐MS/MS

LOD=0.5 mg/L

GC/MS

LOD=0.6  mg/L

Fustinoni et al., 2005

LLE with dichloromethane,   
BSTFA derivatization

El Balkhi et al., 2005

SPE with dichloromethane

HPLC/DAD

LOQ=1.0  mg/L

Montesano et al., 2007

Lyophilization , extraction with 
dichloromethane

HPLC/APCI‐MS/MS

LOD=0.16 mg/L

Lindh et al., 2008

Single Step Extraction/PFBr
derivatization

LC/ESI‐MS/MS

LOD=0.05 mg/L

Jones et al., 2010

LLE with dichloromethane

LC/APCI‐MS

LOD=0.25 mg/L

Jayatilaka & Montesano
et al., 2011

Lyophilization,96 well‐plate 
automated  extraction with 
dichloromethane

HPLC/APCI‐MS/MS

LOD= 0.01 mg/L

Ekman & Lindh et al., 2013

Incomplete hydrolysis/PFBr
derivatization, 96 well‐plate 
automated  extraction with 
dichloromethane

LC/APCI‐MS/MS

LOQ=0.5 mg/L
5
ETU and PTU detection in human urine

UHPLC system: 
1290 LC infinity 

Column – method #1

Pinnacle DB PFPP 1.9 mm 100 x 2.1 mm

Column – method #2

ZORBAX SB-Aq 2.1 x 100 1.8

Mobile Phase

A= 0.01% (v/v) formic acid in water; B= MeOH

Flow rate

0.4 ml/min

Gradient

Isocratic condition

Temperature

20°C

Injection

2 ml with needle wash

Detection

MS/MS

Ionization

Electrospary, positive ionization

6
MS/MS Fragmentation Pattern of ETU and D4-IS

+

+

H
N
S

NH
102 MW

15/10/2013

+H+

H2
N
S

HN
2

i
NH

m/z 103

S

NH
m/z 103

i

H2N+
H3C

m/z 44

7
MS/MS Fragmentation Pattern of PTU

S
HN

S
NH

+H+

PTU

S

H2N+ NH

i

H2N+ NH

H 3C

H3C

H 3C

CH3 H
H3C

m/z 58

m/z 60

m/z 117

+

HN

CH3 H

H 3C

m/z 117

116 MW

+

H2N

i

+
Hydrocarbon fragment

m/z 41
S

PTU
15/10/2013

NH
H
N

116 MW

+H+

H2N

S
H
N

m/z 117

i

S +H2N
HN
m/z 117

i

H 2N

+

HN

H
H3C

m/z 60

+
H

H3C

m/z 58

8
Calibration curves

Level
1

0.5

15/10/2013

Cristina Sottani,                   
Fondazione Salvatore Maugeri  

4.0
5.0
8.0

QC3

10.0

7

PTU

2.0

6
4

1.0

5

10

0.5

QC2

0.5

0.4

4

4

2

3

ETU

0.2

QC1

10

μg/L

20.0

9
SRM LC-ESI-MS/MS profiles at QC2 level for ETU and PTU

ETU (Rt 1.8 min)

ISTD (Rt 1.8 min)

PTU (Rt 2.5 min)

Strong matrix effect leading to a signal
suppression was observed from the most
analyzed matrices.

SRM profile of standard samples (set A)

ISTD (Rt 1.8 min)
ISTD (Rt 1.8 min)

ETU (Rt 1.8 min)

ETU (Rt 1.8 min)

PTU (Rt 2.5 min)

PTU (Rt 2.5 min)

SRM profile of a blank urine extracted
sample spiked after extraction (set B)
15/10/2013

SRM profile of a blank urine sample
spiked before extraction (set C)

Cristina Sottani,                      
Fondazione Salvatore Maugeri  

10
Matrix Effect
Sample
Level

RT

Area

Area

Matrix Effect
%

set A

Name

set B

set B/set A*100

Accuracy

0.2

1

1.8

2808

1669

59

99

0.4

2

1.8

5545

3384

61

96

0.5

QC1

1.8

8004

3929

49

92

1

3

1.8

14146

8344

59

101

2

4

1.8

29538

14847

50

100

4

QC2

1.8

58866

30631

52

100

5

5

1.8

63762

39722

62

105

8

6

1.8

114708

61170

53

98

10

QC3

1.8

140210

77539

55

102

20

7

1.8

307868

153814

50

99

Area

Area

Matrix Effect
%

set A

set B

set B/set A*100

Sample
Name

Level

RT

Accuracy

0.2

1

2.5

6692

3318

50

94

0.4

2

2.5

11925

6926

58

101

0.5

QC1

2.5

16728

8099

48

98

1

3

2.5

28836

15862

55

103

2

4

2.5

59290

27671

47

101

4

QC2

2.5

110481

56883

51

101

5

5

2.5

151978

72009

47

104

8

6

2.5

220357

113349

51

99

10

QC3

2.5

261265

141931

54

102

20

7

2.5

463100

280953

61

100

11
Sample
ISTD Resp. Ratio

ISTD Resp. Ratio

Matrix Effect
%

ISTD Resp. Ratio

Recovery
%

Name

RT

set A

set B

set B/set A*100

set C

set C/set BC*100

0.2

1.8

0.010

0.0100

1.8

0.018

0.0202

99
115
89
104
101
96
84
99
100
88

0.0081

0.4

81
84
97
96
96
98
96
91
80
75

0.0170

0.5

1.8

0.030

0.0263

1

1.8

0.052

0.0548

0.0256

2

1.8

0.108

0.1091

4

1.8

0.252

0.2405

5

1.8

0.347

0.2908

8

1.8

0.433

0.4293

10

1.8

0.560

0.5597

20

1.8

1.362

1.1955

ISTD Resp. Ratio

ISTD Resp. Ratio

Matrix Effect
%

ISTD Resp. Ratio

Recovery
%

0.0527
0.1046
0.2348
0.2788
0.3886
0.4469
0.8954

Sample

Name

RT

set A

set B

set B/set A*100

set C

set C/set B*100

0.2

2.5

0.0241

0.0199

2.5

0.0422

0.0414

0.5

2.5

0.0660

0.0501

1

2.5

0.1070

0.1041

2

2.5

0.2176

0.2033

4

2.5

0.4964

0.4048

5

2.5

0.5659

0.5228

8

2.5

0.8312

0.7956

10

2.5

1.0432

1.0245

20

1.8

2.1698

2.0011

83
98
76
97
93
82
92
96
98
92

0.0159

0.4

80
93
92
108
105
90
98
92
89
94

15/10/2013

0.0384
0.0459
0.1120
0.2141
0.3640
0.5134
0.7312
0.9135
1.8860

12
Efficiency of the chromatographic conditions and sample preparation

ISTD (Rt 1.8 min)
ETU (Rt 1.8 min)
PTU (Rt 2.5 min)

SRM profile of a blank urine sample SPE spiked and
extracted (set C)
ISTD (Rt 1.8 min)

15/10/2013

SRM profile of a blank urine sample SPE extracted
(set C)
Cristina Sottani,                    
Fondazione Salvatore Maugeri  

13
1.600
yA = 0.0662x ‐ 0.0212
R² = 0.988

1.400
1.200

Set A
Set B

yB = 0.0591x ‐ 0.0084
R² = 0.998

1.000

Set C

yC = 0.0446x + 0.0175
R² = 0.99338

0.800
0.600

ETU

0.400
0.200
0.000
‐0.200

0

2.5000

5

10

15

20

yA = 0.1072x + 0.0084
R² = 0.99824

2.0000

Set A
Set B
Set C

yB = 0.1002x + 0.0046
R² = 0.99976

1.5000

25

PTU

yC = 0.0933x + 0.0065
R² = 0.9987

1.0000

0.5000

0.0000
0

15/10/2013

5

10

15

20

25

Cristina Sottani,                   
Fondazione Salvatore Maugeri  

14
Method Development
Coefficient of Regressions of repeated calibration curves
Limit of detection

✔

✔

Limit of quantification:

✔

CVs Intra-Run ; Inter-Run

✔

Matrix Effect Assessment

✔

Recovery

✔

Reproducibility : ✔
Accuracy and Precision
CVs Intra-Run ; Inter-Run

✔
✔

Stability Studies
15/10/2013

Cristina Sottani,                       
Fondazione Salvatore Maugeri  

15
Discussion
•

The world‐wide consumption of dithiocarbamates is between 25 000
and 35 000 metric tons per year.

•

Residues of DTCs and ETU are found in and/or on crops treated with
dithiocarbamates. The residue levels change during storage, processing,
and cooking due to environmental factors. During these processes, the
parent compounds may be converted to ETU and/or PTU.

•

Human exposure to dithiocarbamates was calculated for the population
of the USA on the basis of estimated consumption of dietary residues of
ETU in treated crops.
INTERNATIONAL PROGRAMME ON CHEMICAL SAFETY (ICPS)
ENVIRONMENTAL HEALTH CRITERIA; DITHIOCARBAMATE PESTICIDES, ETHYLENETHIOUREA AND
PROPYLENETHIOUREA Published under the joint sponsorship of the United Nations Environment
Programme, the International Labour Organisation, and the World Health Organization. Geneva 1988.

•

Science has recently published a paper intended to create greater
awareness in matter of Pesticides for Food Security and Safety.
Verger PJP,WHO, Boobis A.R. Imperial College UK, Science, 341, 2013.

15/10/2013

16
Conclusions
①The aim of our study is to validate an analytical method with a
reproducibility (accuracy and precision) and sensitivity
sufficient enough to measure human exposure to metabolites
of dithiocarbamates (ETU and PTU).

②The establishment of the reference values of ETU and PTU is a
growing need to study the quality of the environment in
countries where grape production is predominant such as Italy
and other Southern European lands.

③ETU and PTU reference values will be available and reported in
next studies. Data will be suitable to give us the basis for the
risk assessment of the impact of fungicides on the human
health.
15/10/2013

Cristina Sottani,                       
Fondazione Salvatore Maugeri  

17
Thanks for your attention !!!

15/10/2013

Cristina Sottani,                    
Fondazione Salvatore Maugeri  

18

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14.4 Sottani

  • 1. Biological Monitoring of Exposure to Carbamate Fungicides: determination of ethylene- and propylenethiourea by UHPLC-ESI-MS/MS Cristina Sottani Lowry Centre, Manchester 9th - 11th September 2013
  • 2. Plant Protection Products (PPPs) The most widely used fungicides in agriculture are the alkali and metal salts of the alkelenebis-(dithiocarbamate) acids. The alkelenebis-(dithiocarbamates) (DTCs) can be divided into 3 subgroups: dimethyl dithiocarbamates (ferbam, thiram and ziram); ethylene bisdithiocarbamates (EBDCs) (mancozeb, maneb, metiram, nabam and zineb); propylene bisdithiocarbamates (propineb). 15/10/2013 Cristina Sottani,                         Fondazione Salvatore Maugeri   2
  • 3. Use and Composition of PPPs in Europe and in Italy Total amount (220.000 tons ) of PPPs in the EU-25, 2007 Quantity of the PPP in the Top 5 Member States 64% of fungicides Total amount (50.000 tons) and Composition of Plant Protection Products in Italy Tonnes of AS 80000 83% of fungicides 60000 40000 20000 0 1992 1993 1994 1995 1996 1997 15/10/2013 Fungicides Herbicides Insecticides Others Cristina Sottani,                         Fondazione Salvatore Maugeri   1998 1999 2000 2001 2002 2003 3
  • 4. Proposed animal metabolism of DTCs (M01) Propineb Propineb Pro (M01) R Mancozeb R=H Ethylenethiourea (ETU) R=CH3 Propylenethiourea (PTU) 15/10/2013 Cristina Sottani,                   Fondazione Salvatore Maugeri   4
  • 5. Analytical methods to measure ETU in human urine Method Sample Preparation Analytical System Detection Limit Aprea et al., 1993 LLE with dichloromethane HPLC/DAD LOQ=0.5 mg/g  (creatinine) Debbart & Moore, 2002 LLE with dichloromethane HPLC/UV LOD=0.5 mg/L Sottani et al., 2003 LLE with dichloromethane HPLC/ESI‐MS/MS LOD=0.5 mg/L GC/MS LOD=0.6  mg/L Fustinoni et al., 2005 LLE with dichloromethane,    BSTFA derivatization El Balkhi et al., 2005 SPE with dichloromethane HPLC/DAD LOQ=1.0  mg/L Montesano et al., 2007 Lyophilization , extraction with  dichloromethane HPLC/APCI‐MS/MS LOD=0.16 mg/L Lindh et al., 2008 Single Step Extraction/PFBr derivatization LC/ESI‐MS/MS LOD=0.05 mg/L Jones et al., 2010 LLE with dichloromethane LC/APCI‐MS LOD=0.25 mg/L Jayatilaka & Montesano et al., 2011 Lyophilization,96 well‐plate  automated  extraction with  dichloromethane HPLC/APCI‐MS/MS LOD= 0.01 mg/L Ekman & Lindh et al., 2013 Incomplete hydrolysis/PFBr derivatization, 96 well‐plate  automated  extraction with  dichloromethane LC/APCI‐MS/MS LOQ=0.5 mg/L 5
  • 6. ETU and PTU detection in human urine UHPLC system:  1290 LC infinity  Column – method #1 Pinnacle DB PFPP 1.9 mm 100 x 2.1 mm Column – method #2 ZORBAX SB-Aq 2.1 x 100 1.8 Mobile Phase A= 0.01% (v/v) formic acid in water; B= MeOH Flow rate 0.4 ml/min Gradient Isocratic condition Temperature 20°C Injection 2 ml with needle wash Detection MS/MS Ionization Electrospary, positive ionization 6
  • 7. MS/MS Fragmentation Pattern of ETU and D4-IS + + H N S NH 102 MW 15/10/2013 +H+ H2 N S HN 2 i NH m/z 103 S NH m/z 103 i H2N+ H3C m/z 44 7
  • 8. MS/MS Fragmentation Pattern of PTU S HN S NH +H+ PTU S H2N+ NH i H2N+ NH H 3C H3C H 3C CH3 H H3C m/z 58 m/z 60 m/z 117 + HN CH3 H H 3C m/z 117 116 MW + H2N i + Hydrocarbon fragment m/z 41 S PTU 15/10/2013 NH H N 116 MW +H+ H2N S H N m/z 117 i S +H2N HN m/z 117 i H 2N + HN H H3C m/z 60 + H H3C m/z 58 8
  • 10. SRM LC-ESI-MS/MS profiles at QC2 level for ETU and PTU ETU (Rt 1.8 min) ISTD (Rt 1.8 min) PTU (Rt 2.5 min) Strong matrix effect leading to a signal suppression was observed from the most analyzed matrices. SRM profile of standard samples (set A) ISTD (Rt 1.8 min) ISTD (Rt 1.8 min) ETU (Rt 1.8 min) ETU (Rt 1.8 min) PTU (Rt 2.5 min) PTU (Rt 2.5 min) SRM profile of a blank urine extracted sample spiked after extraction (set B) 15/10/2013 SRM profile of a blank urine sample spiked before extraction (set C) Cristina Sottani,                       Fondazione Salvatore Maugeri   10
  • 11. Matrix Effect Sample Level RT Area Area Matrix Effect % set A Name set B set B/set A*100 Accuracy 0.2 1 1.8 2808 1669 59 99 0.4 2 1.8 5545 3384 61 96 0.5 QC1 1.8 8004 3929 49 92 1 3 1.8 14146 8344 59 101 2 4 1.8 29538 14847 50 100 4 QC2 1.8 58866 30631 52 100 5 5 1.8 63762 39722 62 105 8 6 1.8 114708 61170 53 98 10 QC3 1.8 140210 77539 55 102 20 7 1.8 307868 153814 50 99 Area Area Matrix Effect % set A set B set B/set A*100 Sample Name Level RT Accuracy 0.2 1 2.5 6692 3318 50 94 0.4 2 2.5 11925 6926 58 101 0.5 QC1 2.5 16728 8099 48 98 1 3 2.5 28836 15862 55 103 2 4 2.5 59290 27671 47 101 4 QC2 2.5 110481 56883 51 101 5 5 2.5 151978 72009 47 104 8 6 2.5 220357 113349 51 99 10 QC3 2.5 261265 141931 54 102 20 7 2.5 463100 280953 61 100 11
  • 12. Sample ISTD Resp. Ratio ISTD Resp. Ratio Matrix Effect % ISTD Resp. Ratio Recovery % Name RT set A set B set B/set A*100 set C set C/set BC*100 0.2 1.8 0.010 0.0100 1.8 0.018 0.0202 99 115 89 104 101 96 84 99 100 88 0.0081 0.4 81 84 97 96 96 98 96 91 80 75 0.0170 0.5 1.8 0.030 0.0263 1 1.8 0.052 0.0548 0.0256 2 1.8 0.108 0.1091 4 1.8 0.252 0.2405 5 1.8 0.347 0.2908 8 1.8 0.433 0.4293 10 1.8 0.560 0.5597 20 1.8 1.362 1.1955 ISTD Resp. Ratio ISTD Resp. Ratio Matrix Effect % ISTD Resp. Ratio Recovery % 0.0527 0.1046 0.2348 0.2788 0.3886 0.4469 0.8954 Sample Name RT set A set B set B/set A*100 set C set C/set B*100 0.2 2.5 0.0241 0.0199 2.5 0.0422 0.0414 0.5 2.5 0.0660 0.0501 1 2.5 0.1070 0.1041 2 2.5 0.2176 0.2033 4 2.5 0.4964 0.4048 5 2.5 0.5659 0.5228 8 2.5 0.8312 0.7956 10 2.5 1.0432 1.0245 20 1.8 2.1698 2.0011 83 98 76 97 93 82 92 96 98 92 0.0159 0.4 80 93 92 108 105 90 98 92 89 94 15/10/2013 0.0384 0.0459 0.1120 0.2141 0.3640 0.5134 0.7312 0.9135 1.8860 12
  • 13. Efficiency of the chromatographic conditions and sample preparation ISTD (Rt 1.8 min) ETU (Rt 1.8 min) PTU (Rt 2.5 min) SRM profile of a blank urine sample SPE spiked and extracted (set C) ISTD (Rt 1.8 min) 15/10/2013 SRM profile of a blank urine sample SPE extracted (set C) Cristina Sottani,                     Fondazione Salvatore Maugeri   13
  • 14. 1.600 yA = 0.0662x ‐ 0.0212 R² = 0.988 1.400 1.200 Set A Set B yB = 0.0591x ‐ 0.0084 R² = 0.998 1.000 Set C yC = 0.0446x + 0.0175 R² = 0.99338 0.800 0.600 ETU 0.400 0.200 0.000 ‐0.200 0 2.5000 5 10 15 20 yA = 0.1072x + 0.0084 R² = 0.99824 2.0000 Set A Set B Set C yB = 0.1002x + 0.0046 R² = 0.99976 1.5000 25 PTU yC = 0.0933x + 0.0065 R² = 0.9987 1.0000 0.5000 0.0000 0 15/10/2013 5 10 15 20 25 Cristina Sottani,                    Fondazione Salvatore Maugeri   14
  • 15. Method Development Coefficient of Regressions of repeated calibration curves Limit of detection ✔ ✔ Limit of quantification: ✔ CVs Intra-Run ; Inter-Run ✔ Matrix Effect Assessment ✔ Recovery ✔ Reproducibility : ✔ Accuracy and Precision CVs Intra-Run ; Inter-Run ✔ ✔ Stability Studies 15/10/2013 Cristina Sottani,                        Fondazione Salvatore Maugeri   15
  • 16. Discussion • The world‐wide consumption of dithiocarbamates is between 25 000 and 35 000 metric tons per year. • Residues of DTCs and ETU are found in and/or on crops treated with dithiocarbamates. The residue levels change during storage, processing, and cooking due to environmental factors. During these processes, the parent compounds may be converted to ETU and/or PTU. • Human exposure to dithiocarbamates was calculated for the population of the USA on the basis of estimated consumption of dietary residues of ETU in treated crops. INTERNATIONAL PROGRAMME ON CHEMICAL SAFETY (ICPS) ENVIRONMENTAL HEALTH CRITERIA; DITHIOCARBAMATE PESTICIDES, ETHYLENETHIOUREA AND PROPYLENETHIOUREA Published under the joint sponsorship of the United Nations Environment Programme, the International Labour Organisation, and the World Health Organization. Geneva 1988. • Science has recently published a paper intended to create greater awareness in matter of Pesticides for Food Security and Safety. Verger PJP,WHO, Boobis A.R. Imperial College UK, Science, 341, 2013. 15/10/2013 16
  • 17. Conclusions ①The aim of our study is to validate an analytical method with a reproducibility (accuracy and precision) and sensitivity sufficient enough to measure human exposure to metabolites of dithiocarbamates (ETU and PTU). ②The establishment of the reference values of ETU and PTU is a growing need to study the quality of the environment in countries where grape production is predominant such as Italy and other Southern European lands. ③ETU and PTU reference values will be available and reported in next studies. Data will be suitable to give us the basis for the risk assessment of the impact of fungicides on the human health. 15/10/2013 Cristina Sottani,                        Fondazione Salvatore Maugeri   17
  • 18. Thanks for your attention !!! 15/10/2013 Cristina Sottani,                     Fondazione Salvatore Maugeri   18