On-line preconcentration and determination of six sulfonylurea herbicides in cereals by MEKC with large-volume sample stacking and polarity switching

A new MEKC method with large‐volume sample stacking and polarity switching was developed for on‐line preconcentration and detection of sulfonylurea herbicide (SUH) residues in cereals, including nicosulfuron (NS), thifensulfuon (methyl) (TFM), tribenuron‐methly (TBM), sulfometuron‐methyl (SMM), pyra...

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Published inElectrophoresis Vol. 34; no. 9-10; pp. 1304 - 1311
Main Authors Yi, Ling-Xiao, Chen, Guan-Hua, Fang, Rou, Zhang, Li, Shao, Yu-Xiu, Chen, Ping, Tao, Xiang-Xiang
Format Journal Article
LanguageEnglish
Published Germany Blackwell Publishing Ltd 01.05.2013
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Abstract A new MEKC method with large‐volume sample stacking and polarity switching was developed for on‐line preconcentration and detection of sulfonylurea herbicide (SUH) residues in cereals, including nicosulfuron (NS), thifensulfuon (methyl) (TFM), tribenuron‐methly (TBM), sulfometuron‐methyl (SMM), pyrazosulfuron‐ethyl (PSE), and chlorimuron‐ethyl (CME). In order to achieve a high resolution and enrichment factor, several parameters were optimized, such as the pH of the running buffer, the concentration of the BGE and the SDS, the separate voltage, the sample size, the pH, and the electrolyte concentration of the sample. The optimal running buffer was composed of 30 mM borate and 80 mM SDS at pH 7.0. The borate concentration in the sample was 30 mM and the pH value of the sample was the same as that of the running buffer. The concentrating voltage and the separating voltage were –15 kV and 15 kV, respectively. The sample size was 1.455 kPa × 780 s (33.11 cm). Under the optimum conditions, for NS, TFM, TBM, SMM, PSE, and CME, the enrichment factors were 613, 642, 835, 570, 709, and 599; the LODs were 0.29–0.50 ng/g, 0.22–0.36 ng/g, 0.60–0.89 ng/g, 0.39–0.72 ng/g, 0.28–0.56 ng/g, and 0.31–0.57 ng/g; the LOQs of six SUHs were all 5 ng/g; the average recoveries of the spiked sample were 86.68–92.99%, 80.73–93.65%, 81.49–94.40%, 82.97–95.1%, 82.96–98.84%, and 80.41–92.94%, respectively.
AbstractList A new MEKC method with large-volume sample stacking and polarity switching was developed for on-line preconcentration and detection of sulfonylurea herbicide (SUH) residues in cereals, including nicosulfuron (NS), thifensulfuon (methyl) (TFM), tribenuron-methly (TBM), sulfometuron-methyl (SMM), pyrazosulfuron-ethyl (PSE), and chlorimuron-ethyl (CME). In order to achieve a high resolution and enrichment factor, several parameters were optimized, such as the pH of the running buffer, the concentration of the BGE and the SDS, the separate voltage, the sample size, the pH, and the electrolyte concentration of the sample. The optimal running buffer was composed of 30 mM borate and 80 mM SDS at pH 7.0. The borate concentration in the sample was 30 mM and the pH value of the sample was the same as that of the running buffer. The concentrating voltage and the separating voltage were -15 kV and 15 kV, respectively. The sample size was 1.455 kPa × 780 s (33.11 cm). Under the optimum conditions, for NS, TFM, TBM, SMM, PSE, and CME, the enrichment factors were 613, 642, 835, 570, 709, and 599; the LODs were 0.29-0.50 ng/g, 0.22-0.36 ng/g, 0.60-0.89 ng/g, 0.39-0.72 ng/g, 0.28-0.56 ng/g, and 0.31-0.57 ng/g; the LOQs of six SUHs were all 5 ng/g; the average recoveries of the spiked sample were 86.68-92.99%, 80.73-93.65%, 81.49-94.40%, 82.97-95.1%, 82.96-98.84%, and 80.41-92.94%, respectively.
A new MEKC method with large-volume sample stacking and polarity switching was developed for on-line preconcentration and detection of sulfonylurea herbicide (SUH) residues in cereals, including nicosulfuron (NS), thifensulfuon (methyl) (TFM), tribenuron-methly (TBM), sulfometuron-methyl (SMM), pyrazosulfuron-ethyl (PSE), and chlorimuron-ethyl (CME). In order to achieve a high resolution and enrichment factor, several parameters were optimized, such as the pH of the running buffer, the concentration of the BGE and the SDS, the separate voltage, the sample size, the pH, and the electrolyte concentration of the sample. The optimal running buffer was composed of 30 mM borate and 80 mM SDS at pH 7.0. The borate concentration in the sample was 30 mM and the pH value of the sample was the same as that of the running buffer. The concentrating voltage and the separating voltage were -15 kV and 15 kV, respectively. The sample size was 1.455 kPa 780 s (33.11 cm). Under the optimum conditions, for NS, TFM, TBM, SMM, PSE, and CME, the enrichment factors were 613, 642, 835, 570, 709, and 599; the LODs were 0.29-0.50 ng/g, 0.22-0.36 ng/g, 0.60-0.89 ng/g, 0.39-0.72 ng/g, 0.28-0.56 ng/g, and 0.31-0.57 ng/g; the LOQs of six SUHs were all 5 ng/g; the average recoveries of the spiked sample were 86.68-92.99%, 80.73-93.65%, 81.49-94.40%, 82.97-95.1%, 82.96-98.84%, and 80.41-92.94%, respectively.
Author Chen, Guan-Hua
Chen, Ping
Fang, Rou
Yi, Ling-Xiao
Zhang, Li
Shao, Yu-Xiu
Tao, Xiang-Xiang
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Snippet A new MEKC method with large‐volume sample stacking and polarity switching was developed for on‐line preconcentration and detection of sulfonylurea herbicide...
A new MEKC method with large-volume sample stacking and polarity switching was developed for on-line preconcentration and detection of sulfonylurea herbicide...
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SubjectTerms Buffers
Cereals
Chromatography, Micellar Electrokinetic Capillary - methods
Coronal mass ejection
Edible Grain - chemistry
Electric potential
Enrichment
Herbicides - analysis
Herbicides - isolation & purification
Hydrogen-Ion Concentration
Limit of Detection
MEKC
On-line preconcentration
Polarity switching
Running
Stacking
Sulfonylurea Compounds - analysis
Sulfonylurea Compounds - isolation & purification
Sulfonylurea herbicide residuals
Voltage
Title On-line preconcentration and determination of six sulfonylurea herbicides in cereals by MEKC with large-volume sample stacking and polarity switching
URI https://api.istex.fr/ark:/67375/WNG-9J6XZNZN-1/fulltext.pdf
https://onlinelibrary.wiley.com/doi/abs/10.1002%2Felps.201200607
https://www.ncbi.nlm.nih.gov/pubmed/23436573
https://search.proquest.com/docview/1351608999
https://search.proquest.com/docview/1439770179
Volume 34
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