A monitoring survey and dietary risk assessment for pesticide residues on peaches in China

Li, Zhixia; Nie, Jun; Yan, Zhiying; Yang, Cheng; Lan, Feng; Huang, Yu-Nan; Chen, Qiusheng; Zhao, Xubo; Li, An

doi:10.1016/j.yrtph.2018.06.007

Cited by 90 publications

(41 citation statements)

References 38 publications

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“…The results of chronic and acute dietary exposure assessment are in agreement with the results of Chu et al 30 . Similar results from studies on chronic dietary risk of pesticides in fruits in Poland and in peaches in China have also been reported 1,41 . They also indicated that the chronic risk values for children were higher than that for adults, but neither exceeded 100%.…”

Section: Discussionsupporting

confidence: 81%

“…Through fruit consumption, children had higher chronic and acute exposure risks than adults, and females had higher exposure risks than males, which supports previous ndings 30,43,44 . In our study, the evaluated fruits exhibited an acceptably low risk to Chinese consumers, however, other studies indicated that some kind of pesticide residues in fruits showed unacceptable acute risks, especially for infants and children 41,43,44 . Although pesticides with high detection rates do not means high exposure risks, the potential risks should be paid more attention to the pesticides with high levels (> MRLs) and the pesticides with no regulations for ARfD values.…”

Section: Discussionmentioning

confidence: 48%

“…Multiple pesticide residues in fruits are commonly observed. Li et al 41 found that carbendazim, cyhalothrin, acetamiprid, cypermethrin, imidacloprid, as well as difenoconazole had high detection frequency in peaches. Previous studies have also noted that pesticides, especially fungicides and insecticides such as carbendazim, pyrimethanil, tri oxystrobin, and acetamiprid, had high detection frequency in strawberry fruits in China, Poland, and Turkey 1,30,42 .…”

Section: Discussionmentioning

confidence: 99%

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Determination and dietary risk assessment of 284 pesticide residues in local fruit cultivars in Shanghai, China

Zhang

Chen

et al. 2021

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The presence of pesticide residues has become one of the main risk factors affecting the safety and quality of agro-food. In this study, a multi-residue method for the analysis of 284 pesticides in five local fruit cultivars in Shanghai was developed based on ultrahigh-performance liquid chromatography-quadrupole time-of-fight mass spectrometry (UPLC-QTOF/MS). The limits of determination and the limits of quantitation of pesticides were 0.6–10 and 2–30 µg/kg, respectively. A total of 44, 10, 10, 18, and 7 pesticides were detected in strawberries, watermelons, melons, peaches, and grapes, respectively. The pesticide levels in 95.0% of the samples were below the maximum residual limits (MRLs) prescribed by China, and in 66.2% of the samples below the EU MRLs. The dietary risk assessment study showed big differences in the chronic and acute exposure risk values among different Chinese consumer groups. Through fruit consumption, children/females showed higher exposure risks than adults/males. But both the risk values were less than 100%, indicating that potential dietary risk induced by the pesticides was not significant for Chinese consumers. Nevertheless, certain measures are needed for both growers and government in order to decrease the MRL-exceeding rate of pesticide residues and ensure the quality and safety of fruits for consumers.

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Section: Discussionsupporting

confidence: 81%

Section: Discussionmentioning

confidence: 48%

Section: Discussionmentioning

confidence: 99%

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Determination and dietary risk assessment of 284 pesticide residues in local fruit cultivars in Shanghai, China

Zhang

Chen

et al. 2021

Preprint

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“…High levels of contamination with pesticide residues may be due to overuse of pesticides to control pests and/or farmers having a lack of awareness about pesticide application doses, mechanisms, and standard pre-harvest intervals (PHIs). Additionally, the non-availability of proper guidance about pesticides' application, inadequate supervision by relevant departments, and non-compliance with best agricultural practices may lead to contaminated vegetables, which are considered to be a potential source of health hazards to consumers [35,36]. Household processing is needed to reduce the intake of pesticide residues.…”

Section: Discussionmentioning

confidence: 99%

Evaluation of Pesticide Residues in Vegetables from the Asir Region, Saudi Arabia

et al. 2020

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This study's aim was to determine the pesticide residues in 10 different vegetable commodities from the Asir region, Saudi Arabia. We evaluated 211 vegetable samples, collected from supermarkets between March 2018 and September 2018, for a total of 80 different pesticides using ultrahigh-performance liquid chromatography-tandem mass spectrometry (UHPLC-MS/MS) and gas chromatography-tandem mass spectrometry (GC-MS/MS) after extraction with a multi-residue method (the QuEChERS method). The results were assessed according to the maximum residue limit (MRL) provided by European regulations for each pesticide in each commodity. All lettuce, cauliflower, and carrot samples were found to be free from pesticide residues. A total of 145 samples (68.7%) contained detectable pesticide residues at or lower than MRLs, and 44 samples (20.9%) contained detectable pesticide residues above MRLs. MRL values were exceeded most often in chili pepper (14 samples) and cucumber (10 samples). Methomyl, imidacloprid, metalaxyl, and cyproconazole were the most frequently detected pesticides. Based on the results of this study, we recommend that a government-supported program for the monitoring of pesticide residues in vegetables be established to promote consumers' health and achieve sustainable farming systems. Author Contributions: M.F.A.R.: Ideas; formulation and evolution of overarching research goals and aims. M.M.A.A.-H.: Performing the experiments, instrumentation and data interpretation, application of statistical and computational techniques to analyze and study data. M.M.F.A.: Application of statistical, mathematical, computational, and other formal techniques to analyze or synthesize study data, or data/evidence collection. H.A.A.: Management activities to annotate (produce metadata), scrub data and maintain research data. M.A.A.: Conducting a research and investigation process. Provision of study materials, laboratory samples. A.A.S.: Application of statistical, mathematical, computational, and other formal techniques to analyze or synthesize study data. H.A.S.: Development and design of methodology; creation of models. N.S.A.: Acquisition of the financial support for the project leading to this publication. Management and coordination responsibility for the research activity planning and execution. All authors have read and agreed to the published version of the manuscript.

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“…The risk-ranking score (S) is obtained by multiplying three groups of individual scores which represent the toxicity of the pesticide, the consumption of pesticides and the evidence of detected residues, calculated by the following equation (Nie et al, 2014;Li et al, 2018):…”

Section: Risk-ranking Scorementioning

confidence: 99%

Detection and risk assessments of multi-pesticides in 1771 cultivated herbal medicines by LC/MS-MS and GC/MS-MS

et al. 2021

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A monitoring survey and dietary risk assessment for pesticide residues on peaches in China

Cited by 90 publications

References 38 publications

Determination and dietary risk assessment of 284 pesticide residues in local fruit cultivars in Shanghai, China

Determination and dietary risk assessment of 284 pesticide residues in local fruit cultivars in Shanghai, China

Evaluation of Pesticide Residues in Vegetables from the Asir Region, Saudi Arabia

Detection and risk assessments of multi-pesticides in 1771 cultivated herbal medicines by LC/MS-MS and GC/MS-MS

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