Literature DB >> 28948413

Risk assessment and monitoring of dinotefuran and its metabolites for Chinese consumption of apples.

Weiwei Yu1, Min Huang1, Jiaojiao Chen1, Sizhuo Wu1, Kunming Zheng1, Song Zeng1, Kankan Zhang2, Deyu Hu3.   

Abstract

Residues of dinotefuran and its metabolites, 1-methyl-3-(tetrahydro-3-furylmethyl)urea (UF) and 1-methyl-3-(tetrahydro-3-furylmethyl)guanidine (DN), in apple were investigated using a "QuEChERS" (quick, easy, cheap, effective, rugged, safe) pretreatment and liquid chromatography-tandem mass spectrometry. Limits of detection (LODs) and quantification (LOQs) of dinotefuran, UF, and DN in apples were 0.011-0.960 and 0.037-3.200 μg/kg, respectively. The average recoveries of dinotefuran, UF, and DN in apple ranged from 70.0 to 83.6% with relative standard deviations less than 13%. A formulation of 20% water-dispersible dinotefuran granules was sprayed at 1-1.5-fold the recommended dose 3-4 times on apple trees. Total terminal residues of dinotefuran in apple were less than 2 mg/kg, which is the maximum residue limit (MRL) set by Japan. When following the recommended application guidelines, dinotefuran is unlikely to present significant health concerns to the Chinese population because the risk quotient (RQ) is less than 100%. This work could provide guidance for the safe use of dinotefuran and serve as a reference for the establishment of a maximum residue limit of dinotefuran in apple in China.

Entities:  

Keywords:  Apple; Dinotefuran; Metabolites; Risk assessment

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Year:  2017        PMID: 28948413     DOI: 10.1007/s10661-017-6239-1

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  2 in total

1.  Simultaneous determination and risk assessment of metalaxyl and azoxystrobin in potato by liquid chromatography with tandem mass spectrometry.

Authors:  Weiwei Yu; Xiaoshuang Luo; Xinxian Qin; Min Huang; Jian Li; Song Zeng; Kankan Zhang; Deyu Hu
Journal:  Environ Monit Assess       Date:  2018-05-09       Impact factor: 2.513

2.  Identification of long noncoding RNAs reveals the effects of dinotefuran on the brain in Apis mellifera (Hymenopptera: Apidae).

Authors:  Minjie Huang; Jie Dong; Haikun Guo; Minghui Xiao; Deqian Wang
Journal:  BMC Genomics       Date:  2021-07-03       Impact factor: 3.969

  2 in total

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