Residues, dissipation kinetics, and dietary intake risk assessment of two fungicides in grape and soil

Residues, dissipation kinetics, and dietary intake risk assessment of two fungicides in grape and soil

Accepted Manuscript Residues, dissipation kinetics, and dietary intake risk assessment of two fungicides in grape and soil Shouyi Wang, Qingtao Zhang,...

2MB Sizes 0 Downloads 23 Views

Accepted Manuscript Residues, dissipation kinetics, and dietary intake risk assessment of two fungicides in grape and soil Shouyi Wang, Qingtao Zhang, Yurong Yu, Ya Chen, Song Zeng, Ping Lu, Deyu Hu PII:

S0273-2300(18)30280-0

DOI:

https://doi.org/10.1016/j.yrtph.2018.10.015

Reference:

YRTPH 4245

To appear in:

Regulatory Toxicology and Pharmacology

Received Date: 22 May 2018 Revised Date:

3 October 2018

Accepted Date: 20 October 2018

Please cite this article as: Wang, S., Zhang, Q., Yu, Y., Chen, Y., Zeng, S., Lu, P., Hu, D., Residues, dissipation kinetics, and dietary intake risk assessment of two fungicides in grape and soil, Regulatory Toxicology and Pharmacology (2018), doi: https://doi.org/10.1016/j.yrtph.2018.10.015. This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

AC C

EP

TE D

M AN U

SC

RI PT

ACCEPTED MANUSCRIPT

ACCEPTED MANUSCRIPT 1

Residues, dissipation kinetics, and dietary intake risk assessment of

2

two fungicides in grape and soil

3

Shouyi Wang a, Qingtao Zhang b, Yurong Yu b, Ya Chen b, Song Zeng b, Ping Lu

4

Deyu Hu a *

5

a

6

Education

7

b

8

Guiyang 550025, P.R. China

9

*Address correspondence to Deyu Hu and Ping Lu, Key Laboratory of Green

10

Pesticide and Agricultural Bioengineering, Ministry of Education, Center for

11

Research and Development of Fine Chemicals, Guizhou University, Guiyang 550025,

12

P.R. China. Tel.: +86 851 88292170; Fax: +86 851 88292170; E-mail:

13

[email protected]; [email protected].

a*

RI PT

,

Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of

AC C

EP

TE D

M AN U

SC

Center for Research and Development of Fine Chemicals, Guizhou University,

1

ACCEPTED MANUSCRIPT 14

ABSTRACT The residue behavior and dietary intake risk of two fungicides (dimethomorph

16

and pyraclostrobin) in grape (Vitis vinifera L.) were investigated from field trials. A

17

modified quick, easy, cheap, effective, rugged, and safe method for simultaneously

18

determining dimethomorph and pyraclostrobin residues in grape and soil was

19

established

20

spectrometry. The average recoveries of dimethomorph and pyraclostrobin in the

21

grape and soil matrices varied from 76.88% to 97.05%, with relative standard

22

deviations of 1.73% to 10.38%. The degradation half-lives of dimethomorph and

23

pyraclostrobin were 7.3–12.0 days and 3.6–7.0 days in grape and soil, respectively.

24

The terminal residues of dimethomorph and pyraclostrobin in the two matrices were

25

0.05–0.87 mg/kg. For dietary exposure risk assessments, all of the hazard quotient

26

and hazard quotient index values were below 100%, which indicated that the

27

suspending agents of dimethomorph and pyraclostrobin were sprayed on grape at the

28

recommended dosages with no significant potential risks for Chinese consumers.

29

This study provides a reference for analytically evaluating residual degradation

30

behavior and dietary intake risk of two fungicides under field conditions.

31

Keywords: dimethomorph; pyraclostrobin; residue dynamics;

32

assessment; grape.

high

performance

liquid

chromatography–tandem

mass

AC C

EP

TE D

M AN U

SC

using

RI PT

15

2

dietary risk

ACCEPTED MANUSCRIPT 33

1 Introduction Grape (Vitis vinifera L.), belonging to the Vitaceae family, is one of the most

35

commonly consumed fruits and an economically important crop globally. (Hassan,

36

2012; Saad, 2017). It is highly nutritious, with its fruit containing components such

37

as sugar, minerals, vitamins, amino acids, and organic acids (Conde et al., 2007).

38

However, grape is prone to fungal diseases, such as downy mildew, gray mold, and

39

powdery mildew during growth. The use of fungicides is necessary to control these

40

diseases for improving grape quality and increasing its output (Zhang et al., 2017).

41

Dimethomorph is a highly effective and low-toxicity systemic fungicide, which has

42

demonstrated good curative and antisporulant activity, particularly against downy

43

mildew (Cohen et al., 1995; Hengel and Shibamoto, 2000; Kim et al., 2015).

44

Dimethomorph has been widely used to prevent many diseases of vegetables and

45

fruits in China, such as downy mildew, late blight, crown, blue mold, and root rot

46

(Yang et al., 2017). Pyraclostrobin is a broad-spectrum fungicide of the strobilurin

47

family, which can effectively control diseases of blight, anthracnose, and fusarium

48

head blight in cereals, vegetables, fruits, and oil seeds (Reddy et al., 2013).

49

Pyraclostrobin is produced by BASF Corporation (Joshi et al., 2014); it transfers

50

electrons between cytochromes b and c1 to inhibit mitochondrial respiration in the

51

target fungus (Zhang et al., 2017). Mixed formulations of fungicides can more

52

effectively control diseases and protect crop growth, decrease the application dose

53

required, and reduce the risk of fungal resistance compared with a single fungicide

54

(Wu et al., 2018). In this context, 45% suspending agent is most commonly used for

AC C

EP

TE D

M AN U

SC

RI PT

34

3

ACCEPTED MANUSCRIPT mixed formulations of dimethomorph and pyraclostrobin registered in China, which

56

has remarkable curative effects on bacterial and fungal diseases in grape. However,

57

the use of these fungicides may have negative effects on the environment and human

58

health. Consequently, it is important to monitor the residues of dimethomorph and

59

pyraclostrobin in grape.

RI PT

55

In recent years, several methods for residue analysis of these two compounds

61

from variety of matrixes are reported. Regarding some analytical methods of

62

dimethomorph in tomato, cucumber, onion, apple, kiwi, orange, pear, pepper,

63

Chinese cabbage, cauliflower and Swiss chard were introduced, most of which use

64

gas chromatography with tandem mass spectrometry (GC-MS/MS), high

65

performance liquid chromatography with ultraviolet visible detector (HPLC-UV),

66

and liquid chromatography with tandem mass spectrometry (LC-MS/MS)

67

(Walorczyk, 2013; Qi et al., 2015; Kim et al., 2015; Kocourek et al., 2017; Kabir et

68

al., 2018a). Some studies for determination of Pyraclostrobin in different crops

69

(green bean, spring onion, blueberry, sugarcane, winter jujube, banana, paddy, and

70

apple) have been conducted, which include the use of GC-ECD/NPD (gas

71

chromatography equipped with electron capture detector/nitrogen and phosphorus

72

detector) (Munitz et al., 2014; Sadło et al., 2017), HPLC-UV (Fulcher et al., 2014;

73

Fu et al., 2016), HPLC-ESI-MS (high performance liquid chromatography

74

electrospray ionization source-mass spectrometry) (Hanafi et al., 2010), LC-MS/MS

75

(Peng et al., 2014), UPLC-MS/MS (ultra- performance liquid chromatography with

76

tandem mass spectrometry) (Guo et al., 2016). In China, the maximum residue limits

AC C

EP

TE D

M AN U

SC

60

4

ACCEPTED MANUSCRIPT (MRLs) for dimethomorph and pyraclostrobin in grape were set at 5 and 2 mg/kg

78

(GB 2763-2016: MRLs for pesticides in food), whereas values of 3 and 1 mg/kg

79

were set by the European Union (EU Pesticide Database, 2017), respectively.

80

Chinese regulatory authorities and researchers have realized the necessity of such

81

studies, not only for monitoring pesticide residues, but also for assessing the dietary

82

exposure risk among consumers (Fang et al., 2015). Although many previous studies

83

have reported dimethomorph and pyraclostrobin residues in different crops, to the

84

best of our knowledge, there have been no systematic studies on the dissipation,

85

residues, and dietary exposure risk assessment of dimethomorph and pyraclostrobin

86

in grape.

M AN U

SC

RI PT

77

In the present study, a modified quick, easy, cheap, effective, rugged, and safe

88

(QuEChERS) method was established to simultaneously determine dimethomorph

89

and pyraclostrobin residues in grape and soil by LC-MS/MS. Field trials were

90

conducted to investigate the dissipation rate and terminal residues of the mixed

91

formulation (dimethomorph and pyraclostrobin) in grape, then, the dietary intake

92

risk was evaluated through dietary exposure assessment based on the residue, food

93

consumption, and toxicology data. Our study aimed to ensure the scientific

94

application of this mixed formulation in grape and to provide residue data useful for

95

the risk assessment of its presence in the diet on human health, offering guidance for

96

the rational and safe use of this mixed fungicide.

97

2 Materials and methods

98

2.1 Materials and reagents

99

AC C

EP

TE D

87

Dimethomorph standards (99.0%) and pyraclostrobin standards (99.0%) were 5

ACCEPTED MANUSCRIPT purchased from Dr. Ehrenstorfer GmbH (Germany). 45% suspending agent (SC)

101

containing 30% dimethomorph and 15% pyraclostrobin was supplied by Hangzhou

102

Yulong Chemical Co., Ltd (Hangzhou, China). LC-grade methanol (99.9%) was

103

purchased from Thermo-Fisher Scientific (Waltham, MA, USA). Analytical grade

104

acetonitrile, dichloromethane, petroleum ether, acetone, sodium chloride, and

105

anhydrous magnesium sulfate were obtained from Chengdu Jinshan Chemical

106

Reagent Co. (Chengdu, China). C18 (50 µm) and primary secondary amine (PSA)

107

(40-60 µm) sorbents were purchased from Agela Technologies Inc. (Tianjin, China).

108

Distilled water was purchased from Watsons Corporation (Dongguan, China).

M AN U

SC

RI PT

100

Individual stock standard solutions of dimethomorph (200 µg/mL) and

110

pyraclostrobin (200 µg/mL) were prepared in methanol and stored in volumetric

111

flasks at −20°C. Mixed standard solutions of dimethomorph and pyraclostrobin were

112

prepared by diluting stock solutions with methanol to the concentration range of

113

0.01–2 µg/mL. A matrix-matched standard calibration method was prepared during

114

the analytical procedure by adding the appropriate volumes of mixed standard

115

solution in blank grape and soil extracts to eliminate matrix effects. All standard

116

solutions were kept in the fridge at 4°C before use.

117

2.2 Field experiment design

EP

AC C

118

TE D

109

According to the pesticide registration information and Guidelines on Pesticide

119

Residue Trials (NY/T 788-2004) issued by the Ministry of Agriculture of the

120

People’s Republic of China, field trials were conducted in Huishui (Guizhou

121

Province) and Xiaoxian (Anhui Province) during the 2016 agricultural season (June 6

ACCEPTED MANUSCRIPT to October). During the entire trial, the average air temperatures of Anhui and

123

Guizhou were 17°C (Anhui) and 14.4°C (Guizhou), the average annual durations of

124

sunshine were 1400 h (Anhui) and 2350 (Guizhou) h, and the mean annual

125

precipitation were 1200 mm (Anhui) and 1300 mm (Guizhou), respectively. The soil

126

type in Huisui is loess with 6%–10% organic matter, pH 5.0–6.5, and the soil type in

127

Xiaoxain is silt loam with 1.14% organic matter, pH 7.0–7.4. The treatments

128

comprised grape dynamic test treatment, four terminal residual test treatments, and

129

one control plot. The plot of each experimental treatment was 30 m2, with plots

130

established in triplicate. To avoid cross-contamination, each plot was separated by a

131

buffer zone.

M AN U

SC

RI PT

122

In the degradation dynamics experiment, the mixed formulation of

133

dimethomorph and pyraclostrobin was dissolved in water and sprayed once when

134

the grape fruits are about half the size of mature fruit, the dosage was 800 grams of

135

active ingredient per hectare (g.a.i./ha). Grape samples of approximately 1 kg and

136

soil samples of 1 kg (0–10 cm in depth) were collected randomly from each plot at

137

2 h and 1, 2, 3, 5, 7, 10, 14, 21, and 28 days after spraying treatment. For the

138

terminal residue experiment, the mixed formulation of dimethomorph and

139

pyraclostrobin was sprayed on grapes at two dosage levels: 800 g.a.i./ha (low

140

dosage, recommended dosage) and 1000 g.a.i./ha (high dosage). Both low and high

141

dosages were sprayed three and four times, respectively. Samples were collected

142

randomly after 7, 14, and 21 days of spraying treatment. All samples were placed in

143

polyethylene bags and transported back to the laboratory.

AC C

EP

TE D

132

7

ACCEPTED MANUSCRIPT 144

2.3 Analytical procedures

145

2.3.1 Sample preparation The samples from the field trials were homogenized and divided into four equal

147

portions by quartering technique; two portions (200 g, each) were used for the

148

subsequent experiments. All samples were stored at −20°C before analysis.

149

2.3.2 Sample extraction and purification

RI PT

146

A total of 5.0 g of grape samples or 10.0 g of soil samples was weighed and

151

placed into a 50-mL polypropylene centrifuge tube, to which 20 mL of acetonitrile

152

was added. The mixture was ultrasonically extracted for 15 min, followed by the

153

addition of 3.0 g of anhydrous MgSO4 and 2.0 g of anhydrous Na2SO4. Next, the

154

samples were mixed for 2 min at a speed of 2500 rpm and then centrifuged at a

155

speed of 6000 rpm for 5 min. Subsequently, 1.0 mL of supernatant solution was

156

accurately extracted to the pipette and transferred into a 2-mL centrifuge tube

157

containing 50 mg of C18 and 50 mg of PSA. The tube was centrifuged at 1200 rpm

158

for 3 min after vortexing for 1 min. Finally, the supernatant was filtered through a

159

0.22-µm nylon syringe filter before analysis by LC-MS/MS.

160

2.3.3 LC-MS/MS analysis

M AN U

TE D

EP

AC C

161

SC

150

Dimethomorph and pyraclostrobin were separated on a 20 AD-XR liquid

162

chromatography (LC) system, with a Phenomenex Luna C18 column (150 mm × 2

163

mm id, film thinness 5 µm; Phenomenex, CA, USA). The mobile phases contained

164

methanol (A) and 0.1% formic acid aqueous solution (B). The gradient elution

165

procedure was as follows: 95% B (0–0.4 min), 95% B (0.4–2.0 min), 40% B (2.0– 8

ACCEPTED MANUSCRIPT 7.8 min), 15% B (7.8–12.0 min), 15% B (12.0–12.2 min), and 95% B (12.2–13.0

167

min). The flow rate of the mobile phase was set at 0.3 mL/min, and the injection

168

volume was 1 µL. The chromatographic column temperature was set at 40°C. An

169

applied biosystems sciex API 4000Q trap quadrupole mass spectrometer equipped

170

with an iron source turbo spray unit was used for the monitoring and quantitative

171

analysis of dimethomorph and pyraclostrobin. The analysis of the two fungicides

172

was performed in positive mode using multiple reaction monitoring (MRM).

173

Nitrogen (99.999% purity) was used as the curtain, nebulizer, and collision gases;

174

the pressures of the ion source gas (gases 1 and 2) and curtain gas were 413.68 kPa

175

and 206.84 kPa, respectively; ion spray voltage was 5.5 kV; and ion source

176

temperature was 600°C. The ion pair parameters of the two fungicides are presented

177

in Table 1.

178

Table 1 near here

179

2.4 Calculations

180

2.4.1 Method validation

EP

TE D

M AN U

SC

RI PT

166

The performance of method was validated using certain parameters, including

182

linearity, accuracy, precision, matrix effects, limit of detection (LOD) and limit of

183

quantitation (LOQ) (Li et al., 2012; Kabir et al., 2018b). Linearity was evaluated

184

using the correlation coefficient (R2), derived mainly from a six-point calibration

185

curve; the calibration curves were obtained by plotting the peak area against the

186

corresponding concentration of target analytes in pure solvent and matrix (Rahman

187

et al., 2015). The matrix effect (ME) was calculated using the following formula:

AC C

181

9

ACCEPTED MANUSCRIPT m1 -m2 ×100% m2

ME =

where m1 and m2 are the slopes of the calibration curves obtained in matrix and pure

189

solvent. ME = 0 represents no ME, ME > 0 represents signal enhancement, whereas

190

ME < 0 represents signal suppression. LOD and LOQ are defined by signal-to-noise

191

ratios of 3 and 10, respectively. In recovery experiments, different concentrations of

192

spiked samples for dimethomorph and pyraclostrobin (0.04, 0.4 and 4 mg/kg in

193

grape and 0.02, 0.2, and 2 mg/kg in soil) were investigated. The precision and

194

accuracy of the analytical method were evaluated by calculating recovery and

195

relative standard deviation (RSD) for intra-day (five replicates) and inter-day (fifteen

196

replicates in consecutive three days) (Li et al., 2015; Wang and Zhang, 2017).

197

2.4.2 Degradation kinetics

M AN U

SC

RI PT

188

First-order kinetics equation was used to evaluate degradation of dimethomorph

199

and pyraclostrobin over time in grape and soil, the specific calculation formula is as

200

follows:

Ct = C0 e-kt t1/2 =

AC C

EP

TE D

198

ln 2 k

201

Where C0 (mg/kg) denotes the initial concentration of the compound, k (day−1)

202

denotes the rate constant of degradation, Ct (mg/kg) denotes the concentration of the

203

compound at time t (day), and t1/2 denotes the half-life of compound degradation

204

(Zhu et al., 2016; Song et al., 2018).

205

2.4.3 Assessment of dietary exposure

206

The chronic and acute dietary exposure risk quotients of dimethomorph and 10

ACCEPTED MANUSCRIPT 207

pyraclostrobin were calculated to comprehensively assess the risk of intake of the

208

mixed formulation sprayed on grapes. The chronic assessment was performed using

209

the following formulas: STMR × Fi bw EDI HQ = × 100% ADI

RI PT

EDI =

Where STRM (mg/kg) denotes the supervised trials median residue, Fi denotes the

211

food consumption data (g/day), bw denotes mean body weight (kg), EDI denotes the

212

estimated daily intake (mg/kg·bw), ADI denotes the acceptable daily intake

213

(mg/kg·bw), and HQ denotes the hazard quotient, (Lozowicka et al., 2014; Gad Alla

214

et al., 2015)

M AN U

215

SC

210

The acute assessment was performed using the following formulas: LP×HR bw ESTI αHI = × 100% ARfD

TE D

ESTI =

216

Where, according to the Principles and Methods for the Risk Assessment of

217

Chemicals

218

(FAO) and the World Health Organization (WHO), LP denotes the large portion

219

consumption for the commodity,

220

percentile of food consumption derived from records of individual consumer days

221

(i.e. survey days on which the food or foods of interest were consumed); HR is the

222

highest residue in composite sample of edible portion found in the supervised trials

223

used for estimating the maximum residue level (FAO/WHO, 2009). ESTI denotes

224

the estimated short-term intake (mg/kg·bw), ARfD denotes the acute reference dose

AC C

EP

issued by Food and Agriculture Organization of the United Nations

and the values have been based on the 97.5th

11

ACCEPTED MANUSCRIPT (mg/kg·bw), and αHI denotes the hazard quotient index. HQ and αHI < 100%

226

indicates an acceptable risk for consumers, whereas a situation where HQ or αHI is >

227

100% indicates that an unacceptable risk for consumers is posed (Fang, et al., 2015;

228

Lin et al., 2017).

229

3 Results and discussions

230

3.1 Method validation Representative

LC-MS/MS

chromatograms

of

dimethomorph

SC

231

RI PT

225

and

pyraclostrobin in standard solutions and spiked grape and soil samples are shown in

233

Figure 1. The linearity of the method was evaluated using the standard calibration

234

curves of dimethomorph and pyraclostrobin with a concentration range of 0.01–2

235

µg/mL. As shown in Table 2, superior linearity was observed for two compounds (R2

236

values of 0.9994–0.9999), and signal suppression for dimethomorph was found in

237

grape and soil due to ME (−16.67) values < 0. Hence, calibration was implemented

238

using external matrix-matched standards to eliminate the matrix effect in this study.

239

The LOQ of dimethomorph and pyraclostrobin in grape were 0.04 mg/kg while the

240

LOD were 0.012 mg/kg; the LOQ of the two fungicides in soil were 0.02 mg/kg

241

while the LOD were 0.006 mg/kg. The recoveries and RSD of target analytes are

242

rendered in Table 3. Average recoveries of dimethomorph in grape and soil were

243

77.96%–97.05% (intra-day) and 82.93%–96.51% (inter-day), whereas intra-day and

244

inter-day RSD were in the range of 1.73% to 10.38%. For pyraclostrobin, the

245

recoveries in the two matrices were 76.88%–92.71% (intra-day) and 80.52%–89.22%

246

(inter-day), with corresponding RSD between 2.57% and 8.36%. The satisfactory

AC C

EP

TE D

M AN U

232

12

ACCEPTED MANUSCRIPT recovery and repeatability demonstrate that this method has superior accuracy and

248

precision, so it is appropriate for analysis to detect dimethomorph and pyraclostrobin

249

in grape and soil.

250

Figure 1 near here

251

Table 2 near here

252

Table 3 near here

253

3.2 Degradation of dimethomorph and pyraclostrobin in grape and soil

SC

RI PT

247

According to the results of the monitoring analysis, the degradation curves of

255

dimethomorph and pyraclostrobin in grape and soil from Anhui and Guizhou were

256

plotted and are shown in Figure 2. The original residues of dimethomorph in grape at

257

Anhui and Guizhou were 2.44 and 2.39 mg/kg after 2 h of spraying. Meanwhile, the

258

equivalent values of residues were 0.41 and 0.68 mg/kg in soil, respectively. The

259

degradation dynamics equations of dimethomorph were Ct = 1.7772 e−0.083t (Anhui)

260

and Ct = 2.0592 e−0.095t (Guizhou) in grape, with half-lives (t1/2) of 8.4 and 7.3 days;

261

the values were close to those obtained in previous studies (9.4 days; Liu et al.,

262

2012). The degradation dynamics equations of dimethomorph in soil were Ct = 0.376

263

e−0.06t (Anhui) and Ct = 0.619 e−0.058t (Guizhou), with t1/2 of 11.6 and 12.0 days. For

264

pyraclostrobin, the original concentrations were 0.44 and 0.62 mg/kg in grape and

265

soil from Anhui, and 0.47 and 0.41 mg/kg for Guizhou, respectively. The

266

degradation dynamics equations of pyraclostrobin were Ct = 0.3868 e−0.099t (Anhui)

267

and Ct = 0.3539 e−0.192t (Guizhou) in soil, and t1/2 values were 7.0 and 3.6 days,

268

respectively. In contrast, the degradation dynamics equations of pyraclostrobin in

AC C

EP

TE D

M AN U

254

13

ACCEPTED MANUSCRIPT grape were Ct = 0.2851 e−0.148t (Anhui) and Ct = 0.3133 e−0.143t (Guizhou), with t1/2

270

values of 4.7 and 4.9 days. These t1/2 values were less than some presented in other

271

reports, where the t1/2 values of pyraclostrobin were 5.5–8.0 days in blueberries

272

(Munitz et al., 2014), 8.3–9.1 days in bananas (Fu et al., 2016), and 6.4–9.3 days in

273

pepper (Wu et al., 2018). The degradation rate of dimethomorph in grape at 14 days

274

after spraying was > 78% and that at 28 days after spraying was > 80% in soil.

275

Meanwhile, the degradation rate of pyraclostrobin at 10 days after spraying was > 85%

276

in the two matrices. The degradation rate and t1/2 values illustrate that pyraclostrobin

277

dissipates faster than dimethomorph in grape and soil.

278

Figure 2 near here

279

3.3 Terminal residues of dimethomorph and pyraclostrobin in grape and soil

M AN U

SC

RI PT

269

The terminal residue results of the two fungicides in grapes and soil are

281

presented in Table 4. The terminal residues of dimethomorph were 0.09–0.87 and

282

0.05–0.19 mg/kg in grape and soil, respectively, at 7, 14, and 21 days after spraying

283

for the two dosage levels. Meanwhile, the terminal residues of pyraclostrobin were

284

0.05–0.32 and 0.05–0.87 mg/kg in grape and soil, respectively. It turned out that the

285

residual levels of dimethomorph and pyraclostrobin in grape were below 3 and 1

286

mg/kg (MRLs set by the EU), respectively.

287

Table 4 near here

288

3.4 Exposure risk assessment

AC C

EP

TE D

280

289

In this study, acute and chronic dietary exposure risk assessments for

290

dimethomorph and pyraclostrobin in grape were performed on the basis of 14

ACCEPTED MANUSCRIPT 291

monitoring of pesticide residues and toxicity data for these two fungicides as well as

292

data on grape consumption in China. The results of acute dietary exposure risk assessments are summarized in Table

294

5. The HR values of dimethomorph and pyraclostrobin in grapes were 0.87 and 0.32

295

mg/kg from the terminal residue experiments. The Chinese adult mean body weight

296

is 63 kg (Lin et al., 2017). According to the World Health Organization, LP of grape

297

is 570.3 g/d for Chinese residents (WHO, 2015). The ARfD values for

298

dimethomorph and pyraclostrobin are 0.6 and 0.05 mg/kg·bw, respectively, as

299

derived from the Joint Meeting on Pesticide Residues (JMPR) reports (FAO, 2007;

300

FAO, 2003). All of the calculated ESTI values of dimethomorph and pyraclostrobin

301

were far less than the corresponding ARfD values; the αHI values were < 10%,

302

which means that the acute dietary exposure risk of dimethomorph and

303

pyraclostrobin among humans is acceptable.

304

Table 5 near here

TE D

M AN U

SC

RI PT

293

The chronic dietary exposure risk assessments for dimethomorph and

306

pyraclostrobin in grape were performed on the basis of the consumption of fruit

307

among Chinese from different age groups. The intakes of fruit and mean weight of

308

different age groups are shown in Table 6 (Jin, 2008). The ADI values for

309

dimethomorph and pyraclostrobin are 0.2 and 0.03 mg/kg·bw, as derived from the

310

JMPR reports (FAO, 2007; FAO, 2003). The STRM values of dimethomorph and

311

pyraclostrobin in grape were 0.34 and 0.10 mg/kg, respectively. As seen in Table 6,

312

dimethomorph and pyraclostrobin have a higher chronic dietary exposure risk in

AC C

EP

305

15

ACCEPTED MANUSCRIPT children than in adults because the HQ values of children were higher than those of

314

adults. In addition, females were more sensitive to dimethomorph and pyraclostrobin

315

than males within the same age group because the HQ values of females were higher

316

than those of males. However, all of the EDI values were far below the ADI values,

317

and the HQ values ranged from 0.07% to 1.20% (< 10%), which implies that the

318

chronic dietary exposure risk of dimethomorph and pyraclostrobin among humans is

319

also acceptable. For dimethomorph and pyraclostrobin in grape, smaller HQ and αHI

320

values demonstrated that there is no significant potential risk for Chinese residents

321

according to the recommended application guide.

322

Table 6 near here

323

4 Conclusions

M AN U

SC

RI PT

313

In this study, the validated QuEChERS and LC-MS/MS analytical method was

325

developed and applied to simultaneously determine the levels of dimethomorph and

326

pyraclostrobin residues in grape and soil, achieved satisfactory precision and

327

accuracy. Subsequently, the degradation dynamics and terminal residues of

328

dimethomorph and pyraclostrobin in grape and soil were studied under field

329

conditions. The results show that the t1/2 values of dimethomorph and pyraclostrobin

330

were 7.3–12.0 days and 3.6–7.0 days in the two matrices, and pyraclostrobin

331

degraded more rapidly than dimethomorph. The levels of terminal residues for

332

dimethomorph and pyraclostrobin in all matrices were below the MRLs values set by

333

the EU (3 and 1 mg/kg, respectively). Based on the terminal residue results, dietary

334

exposure risk assessments for dimethomorph and pyraclostrobin in grape were

AC C

EP

TE D

324

16

ACCEPTED MANUSCRIPT performed. All of the HQ and αHI values were < 100%, which indicates no

336

significant potential risks of dimethomorph and pyraclostrobin in grape at the

337

recommended dosages. Our study could provide a valuable reference for the safe and

338

reasonable use of these two fungicides on grapes.

339

Acknowledgments

340

This work was supported by the National Key Research and Development Program

341

of China under grant numbers 2016YFD0201305 and 2016YFD0201306 and the

342

Science and Technology Programs of Guizhou Province under grant number

343

20136024.

344

Conflicts of interest

345

No potential conflict of interest was reported by the authors.

AC C

EP

TE D

M AN U

SC

RI PT

335

17

ACCEPTED MANUSCRIPT 346

References

347

Cohen, Y., Baider, A., Cohen, B.H., 1995. Dimethomorph activity against oomycete fungal

plant

pathogens.

Phytopathology.

349

http://dx.doi.org/10.1094/Phyto-85-1500.

85,

1500-1506.

RI PT

348

Conde, C., Silva, P., Fontes, N., Dias, A. C.P., Tavares, R.M., Sousa, M.J., Agasse, A.,

351

Delrot, S., Gerós, H., 2007. Biochemical changes throughout grape berry

352

development and fruit and wine quality. Food. 1, 1–22. EU

pesticide

database,

(2017).

Available

at

M AN U

353

SC

350

354

http://ec.europa.eu/food/plant/pesticides/eu-pesticides-database/public/?event=p

355

esticide.residue.selection&language=EN (accessed 10 March 2018.). Fang, L.P., Zhang, S.Q., Chen, Z.L., Du, H.X., Zhu, Q., Dong, Z., Li, H.D., 2015.

357

Risk assessment of pesticide residues in dietary intake of celery in China. Regul.

358

Toxicol. Pharmacol. 73, 578-586. http://dx.doi.org/10.1016/j.yrtph.2015.08.009.

359

FAO,

2003.

List

TE D

356

of

Pesticides

evaluated

by

JMPR

and

JMPS-D.

http://www.fao.org/agriculture/crops/thematic-sitemap/theme/pests/lpe/lpe-p/en

361

/ (accessed 12 March 2018.).

363 364

AC C

362

EP

360

FAO,

2007.

List

of

Pesticides

evaluated

by

JMPR

and

JMPS-P.

http://www.fao.org/agriculture/crops/thematic-sitemxianap/theme/pests/lpe/lped/en/ (accessed 12 March 2018.).

365

FAO/WHO, 2009. Dietary exposure assessment of chemicals in food (Chapter 6).

366

Principles and methods for the risk assessment of chemicals in food (p. 98).

367

ISBN978 92 4 157240 8, ISSN 0250-863X. 18

ACCEPTED MANUSCRIPT 368

Fulcher, J.M., Wayment, D.G., Jr, P.M.W., Webber, C.L., 2014. Pyraclostrobin

369

wash-off from sugarcane leaves and aerobic dissipation in agricultural soil. J.

370

Agric. Food Chem. 62, 2141-2146. http://dx.doi.org/10.1021/jf405506p. Fu, J.T., Li, Z.H., Huang, R.L., Wang, S.Y., Huang, C.L., Cheng, D.M., Zhang, Z.X.,

372

2016. Dissipation, residue, and distribution of pyraclostrobin in banana and soil

373

under field conditions in South China. Int. J. Environ. Anal. Chem. 96,

374

1367-1377. http://dx.doi.org/10.1080/03067319.2016.1255734.

SC

RI PT

371

Gad Alla, S.A., Loutfy, N.M., Shendy, A.H., Ahmed, M.T., 2015. Hazard index, a

376

tool for a long term risk assessment of pesticide residues in some commodities,

377

a

378

http://dx.doi.org/10.1016/j.yrtph.2015.09.016.

pilot

M AN U

375

study.

Regul.

Toxicol.

Pharmacol.

73,

985-991.

GB 2763-2016, 2016. National Food Safety Standard e Maximum Residue Limits

380

for Pesticides in Food, Ministry of Health and Ministry of Agriculture of the

381

People's Republic of China. Agriculture Publishing House, Beijing.

TE D

379

Guo, X.Y., Wu, W.Z., Song, N.H., Li, J.Y., Kong, D.Y., Kong, X.J., He, J., Chen,

383

K.L., Shan, Z.J., 2016. Residue dynamics and risk assessment of pyraclostrobin

385 386

AC C

384

EP

382

in rice, plants, hulls, field soil, and paddy water. Hum. Ecol. Risk Assess. 23, 67-81. http://dx.doi.org/10.1080/10807039.2016.1222579.

Hanafi, A., Garau, V.L., Caboni, P., Sarais, G., Cabras, P., 2010. Minor crops for

387

export:

a

case

study

388

lambda-cyhalothrin residue levels on green beans and spring onions in Egypt. J

389

Environ

Sci

of

boscalid,

Heal

pyraclostrobin,

B. 19

45,

lufenuron

and

493-500.

ACCEPTED MANUSCRIPT 390

http://dx.doi.org/10.1080/03601234.2010.493466. Hassan, H.M.M., 2012. Hepatoprotective Effect of Red Grape Seed Extracts Against

392

Ethanol-Induced Cytotoxicity. Global J. Biotechnol. Biochem. 7, 30-37.

393

http://dx.doi.org/10.5829/idosi.gjbb.2012.7.2.1102.

RI PT

391

Hengel, M.J., Shibamoto, T., 2000. Gas Chromatographic-Mass Spectrometric

395

Method for the Analysis of Dimethomorph Fungicide in Dried Hops. J. Agric.

396

Food Chem. 48, 5824-5828. http://dx.doi.org/10.1021/jf030021n.

SC

394

Jin S.G., 2008. The Tenth Report of Nutrition and Health Status for China Residents:

398

Nutrition and Health Status of Annual 2002. People’s Medical Publishing

399

House, Beijing.

M AN U

397

Joshi, J., Sharma, S., Guruprasad, K.N., 2014. Foliar application of pyraclostrobin

401

fungicide enhances the growth, rhizobial-nodule formation and nitrogenase

402

activity in soybean (var. JS-335). Pestic. Biochem. Physiol. 114, 61-66.

403

http://dx.doi.org/10.1016/j.pestbp.2014.07.002.

TE D

400

Kabir, M.H., Abd El-Aty, A.M., Rahman, M.M., Chung, H.S., Lee, H.S., Jeong, J.H.,

405

Wang, J., Shin, S., Shin, H.C., Shim, J.H., 2018a. Dissipation kinetics,

407 408

AC C

406

EP

404

pre-harvest residue limits, and dietary risk assessment of the systemic fungicide metalaxyl in Swiss chard grown under greenhouse conditions. Regul. Toxicol. Pharmacol. 92, 201-206. http://dx.doi.org/10.1016/j.yrtph.2017.12.003.

409

Kabir, M.H., Abd El-Aty, A.M., Rahman, M.M., Chung, H.S., Lee, H.S., Kim, M.R.,

410

Chang, B.J., Wang, J., Shin, H.C., Shim, J.H., 2018b. Residual dynamic and

411

risk assessment of dimethomorph in Swiss chard grown at two different sites. 20

ACCEPTED MANUSCRIPT 412

Biomed. Chromatogr. 32, e4053. http://dx.doi.org/10.1002/bmc.4053 Kim, S.W., Abd El-Aty, A.M., Rahman, M.M., Choi, J.H., Lee, Y.J., Ko, A.Y., Choi,

414

O.J., Jung, H.N., Hacımüftüoğlu, A., Shim, J.H., 2015. The effect of household

415

processing on the decline pattern of dimethomorph in pepper fruits and leaves.

416

Food Control. 50, 118-124. http://dx.doi.org/10.1016/j.foodcont.2014.08.023.

RI PT

413

Kocourek, F., Stara, J., Holy, K., Horska, T., Kocourek, V., Kovacova, J.,

418

Kohoutkova, J., Suchanova, M., Hajslova, J., 2017. Evaluation of pesticide

419

residue dynamics in Chinese cabbage, head cabbage and cauliflower. Food

420

Addit

421

http://dx.doi.org/10.1080/19440049.2017.1311419.

contam

M AN U

SC

417

A.

34,

980-989.

Li, Y.B., Dong, F.S., Liu, X.G., Xu, J., Li, J., Kong, Z.Q., Chen, X., Liang, X.Y.,

423

Zheng, Y.Q., 2012. Simultaneous enantioselective determination of triazole

424

fungicides in soil and water by chiral liquid chromatography/tandem mass

425

spectrometry.

426

http://dx.doi.org/10.1016/j.chroma.2011.12.044.

428 429 430

Chromatogr

A.

1224,

51-60.

EP

J

Li, Y.J., Lu, P., Hu, D.Y., Bhadury, P.S., Zhang, Y.P., Zhang, K.K., 2015.

AC C

427

TE D

422

Determination of Dufulin Residue in Vegetables, Rice, and Tobacco Using Liquid Chromatography with Tandem Mass Spectrometry. J. AOAC Int. 98, 1739-1744. http://dx.doi.org/10.5740/jaoacint.15-134.

431

Lin, H.F., Dong, B.Z., Hu, J.Y., 2017. Residue and intake risk assessment of

432

prothioconazole and its metabolite prothioconazole-desthio in wheat field.

433

Environ Monit Assess. 189, 236. http://dx.doi.org/10.1007/s10661-017-5943-1. 21

ACCEPTED MANUSCRIPT 434

Liu, C.Y., Wan, K., Huang, J.X., Wang, Y.C., Wang, F.H., 2012. Behavior of mixed

435

formulation of metalaxyl and dimethomorph in grape and soil under field

436

conditions.

437

http://dx.doi.org/10.1016/j.ecoenv.2012.06.030.

Environ

Saf.

84,

112-116.

RI PT

Ecotoxicol

Lozowicka, B., Kaczynski, P., Paritova, A.E., Kuzembekova, G.B., Abzhalieva, A.B.,

439

Sarsembayeva, N.B., Alihan, K., 2014. Pesticide residues in grain from

440

Kazakhstan and potential health risks associated with exposure to detected

441

pesticides.

442

http://dx.doi.org/10.1016/j.fct.2013.11.038.

Chem.

Toxicol.

64,

M AN U

Food

SC

438

238-248.

443

Munitz, M.S., Resnik, S.L., Montti, M.I.T., Visciglio, S., 2014. Validation of a

444

SPME-GC Method for Azoxystrobin and Pyraclostrobin in Blueberries, and

445

Their

446

http://dx.doi.org/10.4236/as.2014.511104.

449 450 451 452

Sci.

5,

964-974.

TE D

Agric.

Press, Beijing, China.

EP

448

Kinetics.

NY/T 788-2004, 2004. Guideline on Pesticide Residue Trials. China Agriculture

Peng, W., Zhao, L.W., Liu, F.M., Xue, J.Y., Li, H.C., Shi, K.W., 2014. Effect of paste

AC C

447

Degradation

processing on residue levels of imidacloprid, pyraclostrobin, azoxystrobin and fipronil

in

winter jujube.

Food

Addit

contam

A.

31,

1562-1567.

http://dx.doi.org/10.1080/19440049.2014.941948.

453

Qi, P.P., Wang, Z.W., Yang, G.L., Shang, C.Q., Xu, H., Wang, X.Y., Zhang, H., Wang,

454

Q., Wang, X.Q., 2015. Removal of acidic interferences in multi-pesticides

455

residue analysis of fruits using modified magnetic nanoparticles prior to 22

ACCEPTED MANUSCRIPT 456

determination via ultra-HPLC-MS/MS. Microchim. Acta. 182, 2521-2528.

457

http://dx.doi.org/10.1007/s00604-015-1615-4. Rahman, M.M., Abd El-Aty, A.M., Choi, J.H., Kim, S.W., Shin, S.C., Shim, J.H.,

459

2015. Consequences of the matrix effect on recovery of dinotefuran and its

460

metabolites in green tea during tandem mass spectrometry analysis. Food Chem.

461

168, 445-453. http://dx.doi.org/10.1016/j.foodchem.2014.07.095.

RI PT

458

Reddy, S.N., Gupta, S., Gajbhiye, V.T., 2013. Adsorption-desorption and leaching of

463

pyraclostrobin in indian soils. J Environ Sci Heal B. 48, 948-959.

464

http://dx.doi.org/10.1080/03601234.2013.816600.

466

M AN U

465

SC

462

Saad, K.J., 2017. Phytochemical investigation of Fruits and Seeds of Grape (Vitis vinifera L.) grown in Iraq. Int. J. Pharm. Sci. Rev. Res. 42, 65-66. Sadło, S., Szpyrka, E., Piechowicz, B., Antos, P., Józefczyk, R., Balawejder, M.,

468

2017. Reduction of Captan, Boscalid and Pyraclostrobin Residues on Apples

469

Using Water Only, Gaseous Ozone, and Ozone Aqueous Solution. Ozone: Sci.

470

Eng. 39, 97-103. http://dx.doi.org/10.1080/01919512.2016.1257931.

472 473 474 475

EP

Song, W.C., Jia, C.H., Jing, J.J., Zhao, E.C., He, M., Chen, L., Yu, P.Z., 2018.

AC C

471

TE D

467

Residue behavior and dietary intake risk assessment of carbosulfan and its metabolites

in

cucumber.

Regul.

Toxicol.

Pharmacol.

95,

250-253.

http://dx.doi.org/10.1016/j.yrtph.2018.03.023.

Walorczyk, S., 2013. Improved method for determination of the fungicide

476

dimethomorph

in

vegetables.

Acta

477

http://dx.doi.org/10.1556/AChrom.25.2013.4.10. 23

Chromatogr.

25,

725-733.

ACCEPTED MANUSCRIPT 478

Wang, D.P., Zhang, K.K., 2017. Determination of the dissipation dynamics and

479

residue behaviors of chlorantraniliprole in sugarcane and soil by LC-MS/MS.

480

Environ.

481

http://dx.doi.org/10.1007/s10661-017-6099-8.

Assess.

189,

372.

RI PT

482

Monit.

WHO, 2015. A Template for the Automatic Calculation of the IESTI [cited 15 March 2018];

Available

from:

484

http://www.who.int/foodsafety/areas_work/chemical-risks/gems-food/en.

SC

483

Wu, S.Z., Zhang, H.Z., Zheng, K.M., Meng, B.H., Wang, F., Cui, Y., Zeng, S., Zhang,

486

K.K., H, D.Y., 2018. Simultaneous determination and method validation of

487

difenoconazole, propiconazole and pyraclostrobin in pepper and soil by

488

LC−MS/MS in field trial samples from three provinces, China. Biomed.

489

Chromatogr. 32, e4052. http://dx.doi.org/10.1002/bmc.4052.

TE D

M AN U

485

Yang, L., Zhao, H., Li, Y.C., Zhang, Y.Q., Ye, H.Z., Zhao, G.F., Ran, X., Liu, F., Li,

491

C.P., 2017. Insights into the recognition of dimethomorph by disulfide bridged

492

beta-cyclodextrin and its high selective fluorescence sensing based on indicator

493

displacement

assay.

Biosens.

Bioelectron.

87,

737-744.

AC C

494

EP

490

http://dx.doi.org/10.1016/j.bios.2016.09.044.

495

Zhang, C., Wang, J., Zhang, S., Zhu, L.S., Du, Z.K., Wang, J.H., 2017. Acute and

496

subchronic toxicity of pyraclostrobin in zebrafish (Danio rerio). Chemosphere.

497

188, 510-516. http://dx.doi.org/10.1016/j.chemosphere.2017.09.025.

498

Zhang, H.Z., Zhang, A.W., Huang, M., Yu, W.W., Li, Z.Y., Wu, S.Z., Zheng, K.M.,

499

Zhang, K.K., Hu, D.Y., 2017. Simultaneous determination of boscalid and 24

ACCEPTED MANUSCRIPT 500

fludioxonil

in

grape

and

soil

under

field

conditions

by

gas

501

chromatography/tandem triple quadrupole mass spectrometry. Biomed.

502

Chromatogr. 32, e4091. http://dx.doi.org/10.1002/bmc.4091 Zhu, X.D., Jia, C.H., Duan, L.F., Zhang, W., Yu, P.Z., He, M., Chen, L., Zhao, E.C.,

504

2016. Residue behavior and dietary intake risk assessment of three fungicides in

505

tomatoes (Lycopersicon esculentum Mill.) under greenhouse conditions. Regul.

506

Toxicol. Pharmacol. 81, 284-287. http://dx.doi.org/10.1016/j.yrtph.2016.09.015.

AC C

EP

TE D

M AN U

SC

RI PT

503

25

ACCEPTED MANUSCRIPT Table captions

508

Table 1. Mass spectrometric parameters of dimethomorph and pyraclostrobin.

509

Table 2. Calibration equation, determination coefficient (R2), LOD and LOQ, matrix

510

effect (ME) of dimethomorph and pyraclostrobin in different matrices.

511

Table 3. Average recoveries and RSD for dimethomorph and pyraclostrobin under

512

two matrices and spiking levels.

513

Table 4. Terminal residues levels of dimethomorph and pyraclostrobin in grape and

514

soil.

515

Table 5. Acute dietary risk assessment of dimethomorph and pyraclostrobin in grape.

516

Table 6. Chronic dietary risk assessment of dimethomorph and pyraclostrobin in

517

grape.

AC C

EP

TE D

M AN U

SC

RI PT

507

26

ACCEPTED MANUSCRIPT 518

Table 1. Mass spectrometric parameters of dimethomorph and pyraclostrobin. Analyte

Dimethomorph Pyraclostrobin

Precursor ion (m/z)

Product ion (m/z) Quantitation

388.2 388.3

301.10 194.20

Confirmation

Collision energy (ev)

Declustering potential (v)

165.10 164.20

30.05/43.18 13.05/24.81

82.62 82.62

AC C

EP

TE D

M AN U

SC

RI PT

519

27

ACCEPTED MANUSCRIPT 520

Table 2. Calibration equation, determination coefficient (R2), LOQ and LOD, matrix

521

effect (ME) of dimethomorph and pyraclostrobin in different matrices.

Dimethomorph

Pyraclostrobin

a

523

b

Regression equationa

Methanol Grape Soil Methanol Grape Soil

6

y = 6 × 10 x + 37197 y = 5 × 106 x + 320072 y = 5 × 106 x + 44349 y = 2 × 106 x + 6379.5 y = 2 × 106 x + 26514 y = 2 × 106 x + 24304

y, the Peak area value; x, concentration value.

R2

LOQ (mg/kg)

0.9999 0.9994 0.9997 0.9999 0.9998 0.9998

LOD (mg/kg)

ME (%)







0.04 0.02

0.012 0.006

−16.67 −16.67







0.04 0.02

0.012 0.006

0 0

b

SC

522

Matrix

RI PT

Analyte

—, blank test with no matrix effect.

AC C

EP

TE D

M AN U

524

28

ACCEPTED MANUSCRIPT 525

Table 3. Average recoveries and RSD for dimethomorph and pyraclostrobin under two

526

matrices and spiking levels. intra-day (n = 5)

Inter-day (n = 15) a

Matrix

Spiked level (mg/kg)

Average recovery (%)

RSD (%)

Dimethomorph

Grape

0.04 0.4 4 0.02 0.2 2 0.04 0.4 4 0.02 0.2 2

79.37 92.35 97.05 77.96 91.01 90.02 80.30 82.93 89.17 76.88 92.71 89.22

4.23 7.87 1.73 7.04 2.86 2.57 4.19 6.12 2.57 5.72 3.92 5.54

Grape

Soil

527

a

RSD, relative standard deviation.

AC C

EP

TE D

528

SC

Pyraclostrobin

M AN U

Soil

29

Average recovery (%)

RI PT

Analyte

88.02 89.43 96.51 82.93 91.51 91.02 89.09 85.86 89.15 80.52 87.85 87.48

RSD (%) 9.08 8.59 2.81 10.38 5.48 6.87 8.36 4.95 3.74 7.64 7.38 5.37

ACCEPTED MANUSCRIPT 529

Table 4. Terminal residues levels of dimethomorph and pyraclostrobin in grape and

530

soil. Dosage(g.a.i./ha)a

Site

Spray times

Interval (days)

Average residual levels (n = 3) (mg/kg) Dimethomorph Grape Soil

4

1000

3

4

Anhui

800

3

1000

TE D

4

3

a.i, active ingredient; ha, he.

AC C

532

a

EP

4

531

7 14 21 7 14 21 7 14 21 7 14 21 7 14 21 7 14 21 7 14 21 7 14 21

0.38±0.02 0.28±0.02 0.20±0.05 0.37±0.06 0.33±0.03 0.24±0.01 0.62±0.04 0.47±0.04 0.21±0.03 0.87±0.12 0.48±0.13 0.10±0.03 0.34±0.02 0.24±0.02 0.17±0.04 0.34±0.06 0.29±0.03 0.20±0.00 0.54±0.03 0.39±0.03 0.17±0.02 0.76±0.11 0.41±0.11 0.09±0.02

0.11±0.01 0.08±0.00 0.08±0.00 0.19±0.05 0.16±0.00 0.10±0.00 0.08±0.02 0.14±0.00 0.13±0.06 0.06±0.01 0.12±0.00 0.08±0.00 0.09±0.01 0.07±0.00 0.07±0.00 0.15±0.04 0.13±0.00 0.08±0.00 0.07±0.02 0.12±0.00 0.11±0.04 0.05±0.01 0.10±0.00 0.06±0.00

30

0.16±0.01 0.08±0.00 0.08±0.02 0.09±0.02 0.10±0.02 0.07±0.01 0.32±0.03 0.15±0.01 0.09±0.01 0.27±0.05 0.31±0.03 0.06±0.01 0.16±0.02 0.07±0.01 0.06±0.02 0.10±0.02 0.08±0.03 0.09±0.06 0.16±0.02 0.15±0.02 0.05±0.00 0.23±0.03 0.14±0.03 0.06±0.00

0.10±0.00 0.09±0.02 0.12±0.01 0.10±0.00 0.21±0.01 0.21±0.02 0.87±0.17 0.27±0.00 0.19±0.02 0.29±0.04 0.35±0.03 0.25±0.03 0.05±0.00 0.10±0.01 0.12±0.01 0.10±0.01 0.22±0.00 0.19±0.02 0.16±0.00 0.27±0.01 0.19±0.03 0.26±0.03 0.42±0.03 0.32±0.04

RI PT

3

SC

800

M AN U

Guizhou

Pyraclostrobin Grape Soil

ACCEPTED MANUSCRIPT 533

Table 5. Acute dietary risk assessment of dimethomorph and pyraclostrobin in grape. Pesticides

HRa (mg/kg)

LPb (kg/d)

ESTIc (mg/kg bw day)

ARfDd (mg/kg bw)

αHIe (%)

Dimethomorph Pyraclostrobin

0.87 0.32

0.5703

0.0079 0.0029

0.6 0.05

1.32% 5.80%

a

“HR” is the highest residue.

535

b

“LP” values represent the estimated daily intake.

536

c

“ESTI” values represent the estimated short term intake.

537

d

“ARfD” is the acute reference dose, which is derived from the Joint Meeting on

538

Pesticide Residues (JMPR) reports.

539

e

AC C

EP

TE D

SC

M AN U

“αHI” values represent hazard quotient index.

RI PT

534

31

ACCEPTED MANUSCRIPT 540

Table 6. Chronic dietary risk assessment of dimethomorph and pyraclostrobin in

541

grape.

Age

Sexa

14-17 18-29 30-44 45-59 60-69 ≥ 70

1.1256 1.2273 0.9552 1.0788 0.6993 0.7348 0.4686 0.4560 0.3551 0.4370 0.2434 0.3452 0.1881 0.2771 0.1730 0.2225 0.1869 0.2179 0.1569 0.1447

0.3311 0.3610 0.2810 0.3173 0.2057 0.2161 0.1378 0.1341 0.1039 0.1285 0.0716 0.1015 0.0553 0.0815 0.0509 0.0654 0.0550 0.0641 0.0462 0.0425

a

“M” and “F” represent “male” and “female”, respectively.

543

b

“EDI” values represent the estimated daily intake.

544

c

“HQ” values represent the hazard quotient.

AC C

EP

542

545

32

Dimethomorph

Pyraclostrobin

0.56% 0.61% 0.48% 0.54% 0.35% 0.37% 0.23% 0.23% 0.18% 0.22% 0.12% 0.17% 0.09% 0.14% 0.09% 0.11% 0.09% 0.11% 0.08% 0.07%

1.10% 1.20% 0.94% 1.06% 0.69% 0.72% 0.46% 0.45% 0.35% 0.43% 0.24% 0.34% 0.18% 0.27% 0.17% 0.22% 0.18% 0.21% 0.15% 0.14%

RI PT

11-13

43.7 44.4 47.2 51.4 47.1 46.9 47.0 45.6 48.5 58.1 41.8 52.9 35.9 45.4 32.1 37.3 33.8 34.8 27.0 21.7

HQc (%)

SC

7-10

13.2 12.3 16.8 16.2 22.9 21.7 34.1 34 46.7 45.2 58.4 52.1 64.9 55.7 63.1 57 61.5 54.3 58.5 51

EDIb (µg/kg, b.w.) Dimethomorph Pyraclostrobin

M AN U

4-6

M F M F M F M F M F M F M F M F M F M F

Fruit intake (g/d)

TE D

2-3

Body weight (kg)

ACCEPTED MANUSCRIPT Figure captions

547

Figure 1. LC-MS/MS chromatograms of dimethomorph and pyraclostrobin in

548

standard solution (0.1 µg/mL), spiked grape (0.4 mg/kg) and soil (0.2 mg/kg) samples.

549

Figure 2. Degradation of dimethomorph (A, B) and pyraclostrobin (C, D) in grape and

550

soil.

AC C

EP

TE D

M AN U

SC

RI PT

546

33

AC C

EP

TE D

M AN U

SC

RI PT

ACCEPTED MANUSCRIPT

AC C

EP

TE D

M AN U

SC

RI PT

ACCEPTED MANUSCRIPT

ACCEPTED MANUSCRIPT Highlights •

A validated method was established to simultaneously determine dimethomorph and pyraclostrobin in the grape and soil. Dissipation kinetics and terminal residue of two fungicides in grape and soil were

RI PT



investigated.

EP

TE D

M AN U

SC

The dietary intake risk of fungicides in grape was assessed.

AC C