Determination of cyantraniliprole and its major metabolite residues in vegetable and soil using ultra‐performance liquid chromatography/tandem mass spectrometry

Jung

et al. 2019

Sci Rep

The dissipation patterns of cyantraniliprole and its metabolite IN-J9Z38 were investigated using proso millet ( Panicum miliaceum ) under open-field conditions to establish a pre-harvest interval. A simple and sensitive analytical method was developed for analyzing residues using ultra-high performance liquid chromatography coupled with tandem mass spectrometry (UHPLC-MS/MS) for multiple reaction monitoring of target compounds. The analytical method was validated in terms of the instrumental limit of quantitation, method limit of quantitation, linearity, accuracy, and precision. The method was successfully applied to the analysis of cyantraniliprole and IN-J9Z38 residues in the field samples of four plots, which were treated twice with an oil dispersion formulation, according to the date of pesticide treatment before harvest. In the case of cyantraniliprole in grain and straw, there was a 91.1 and 89.1% decrease, respectively, from the initial residues (14–7 days) to the final plot (40–30 days before harvest). However, IN-J9Z38 gradually increased over time, indicating that cyantraniliprole transformed into IN-J9Z38 during cultivation. The biological half-lives of total cyantraniliprole were 11.3 and 9.4 days for grain and straw, respectively. The results obtained in this study will inform regulation and management of pesticide use for the minor crop proso millet.

Section: Resultscontrasting

confidence: 93%

Section: Resultsmentioning

confidence: 99%

Figure 1Chemical structure of cyantraniliprole ( A ) and IN-J9Z38 ( B ).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Dissipation of the Insecticide Cyantraniliprole and Its Metabolite IN-J9Z38 in Proso Millet during Cultivation

Jung

et al. 2019

Sci Rep

Pest Management Science

“…Therefore, the concentrations of cyantraniliprole in corn plants might be quickly diluted during rapid plant growth in the summer. In addition, the dissipation of chlorantraniliprole in the corn plants ( t 1/2 = 3.02–3.21 days) was similar to that in cauliflower ( t 1/2 = 3.86 days), watermelon ( t 1/2 = 2.7 days), cucumber ( t 1/2 = 2.2 days) and tomato ( t 1/2 = 2.8 days) . The anthranilic diamide insecticide chlorantraniliprole can be distributed throughout the high lipid content matrices in crops due to its greater lipophilic character .…”

Section: Discussionmentioning

confidence: 61%

Cyantraniliprole seed treatment efficiency against Agrotis ipsilon (Lepidoptera: Noctuidae) and residue concentrations in corn plants and soil

Zhang

Ding

et al. 2019

BACKGROUND: The black cutworm Agrotis ipsilon is the most destructive early season insect pest of corn. In this study, the control efficiency of cyantraniliprole seed treatment against A. ipsilon was evaluated, and the residual concentrations of cyantraniliprole and its metabolite J9Z38 in the stalks of corn seedlings and soil were investigated. RESULTS:Plant pot experiments showed that A. ipsilon larval mortality was greater than 92% and that the percentage of corn seedlings damaged by A. ipsilon was less than 24% when corn seeds were treated with cyantraniliprole at 2 and 4 g AI kg −1 seed. Cyantraniliprole seed treatment at a dosage of 2 g AI kg −1 seed significantly reduced A. ipsilon infestation compared to chlorantraniliprole and clothianidin seed treatments in corn fields. Cyantraniliprole seed treatment resulted in more persistent control efficiency of A. ipsilon in spring than in summer. Cyantraniliprole and J9Z38 residues in corn stalks and soil degraded more slowly in the spring than in the summer. CONCLUSION: Cyantraniliprole used as a seed treatment can protect corn plants from A. ipsilon infestations throughout the seedling stage. The high biological activity of cyantraniliprole was consistent with the residue levels of cyantraniliprole in the corn stalks and soil. Residual toxicity determination for A. ipsilonResidual toxicity was estimated using the stem bases of the cyantraniliprole-treated corn plants (the seeds treated with cyantraniliprole at a dosage of 2 g AI kg −1 seed were sown at the same time in field experiments in 2016) collected at 1, 3, 5, 7, 10, 14, 21, 28 and 35 days after seedling emergence in the spring and summer of 2016. Newly molted and active third-, fourth-, fifth-or sixth-instar larvae (within 12 h of molting) were placed into 12-well tissue culture plates and starved for 4-5 h

J of Separation Science

“…To our knowledge, LC–MS, which has high selectivity, precision, and sensitivity, has become a powerful technique for monitoring pesticides at trace levels. . Meanwhile, with the development of UHPLC that uses columns containing stationary phases with a particle size (<2 μm) smaller than conventional LC, the analysis time has become shorter and the peak resolution higher.…”

Section: Introductionmentioning

confidence: 99%

Comparison of different cleanup procedures for oil crops based on the development of a trace analytical method for the determination of pyraclostrobin and epoxiconazole

Pan

Dong

et al. 2014

Self Cite

The effects of different cleanup procedures in removing high-molecular-mass lipids and natural colorants from oil-crop extracts, including dispersive solid-phase extraction, low-temperature precipitation and gel permeation chromatography, were studied. The pigment removal, lipid quantity, and matrix effects of the three cleanup methods were evaluated. Results indicated that the gel permeation chromatography method is the most effective way to compare the dispersive solid-phase extraction and low-temperature precipitation. Pyraclostrobin and epoxiconazole applied extensively in oil-crop production were selected as typical pesticides to study and a trace analytical method was developed by gel permeation chromatography and ultra high performance liquid chromatography with tandem mass spectrometry. Average recoveries of the target pesticides at three levels (10, 50, and 100 μg/kg) were in the range of 74.7-96.8% with relative standard deviation values below 9.2%. The limits of detection did not exceed 0.46 μg/kg, whereas the limits of quantification were below 1.54 μg/kg and much lower than maximum residue limit in all matrices. This study may provide the essential data for optimizing the analytical method of pesticides in oil-crop samples.