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High Performance Liquid Chromatographic Method for Determination of Metazosulfuron Residue in Representative Crops
High Performance Liquid Chromatographic Method for Determination of Metazosulfuron Residue in Representative Crops
Korean Journal of Environmental Agriculture. 2013. Jun, 32(2): 128-135
Copyright © 2013, The Korean Society of Environmental Agriculture
This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
  • Received : May 19, 2013
  • Accepted : June 21, 2013
  • Published : June 30, 2013
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About the Authors
Hyeri Lee
Environmental Measurement and Analysis Center, National Institute of Environmental Research, Incheon 404-708, Republic of Korea
Eunhye Kim
Department of Agricultural Biotechnology, Seoul National University, Seoul 151-741, Republic of Korea
Young Deuk Lee
Division of Life and Environmental Science, Daegu University, Gyeongsan 712-714, Republic of Korea
Jeong-Han Kim
Department of Agricultural Biotechnology, Seoul National University, Seoul 151-741, Republic of Korea
kjh2404@snu.ac.kr

Abstract
BACKGROUND:
This study was performed to develop a single residue analytical method for new herbicide metazosulfuron in crops.
METHODS AND RESULTS:
Brown rice, apple, mandarin, Kimchi cabbage and soybean were selected as representative crops, and clean-up system, partition solvent and extraction solvent were optimized. Instrumental limit of quantitation (ILOQ), linearity of calibration curve and method limit of quantitation (MLOQ) were determined based on the chromatography and whole procedures. For recovery tests, brown rice, apple, mandarin, Kimchi cabbage and soybean samples were macerated and fortified with metazosulfuron standard solution at three levels (MLOQ, 10 MLOQ and 100 MLOQ). And then those were extracted with acetonitrile, concentrated, and partitioned with ethyl acetate. Then the extracts were concentrated again and cleaned-up through NH 2 (aminopropyl) SPE cartridge with acetone : dichloromethane (1% acetic acid) (20 : 80, v/v) before concentration and analysis with HPLC.
CONCLUSION(S):
ILOQ of metazosulfuron was 2 ng (S/N ≥10) and good linearity was achieved between 0.05 and 12.5 mg/Kg of metazosulfuron standard solutions, with coefficients of determination of 0.9999. MLOQ was 0.02 mg/Kg. Good recoveries from 74.1 to 116.9% with coefficients of variation (C.V.) of less than 10% were obtained, regardless of sample type, which satisfies the criteria of Korea Food and Drug Administration (KFDA). Those results were reconfirmed with LC-MS (SIM). The method established in this study is simple, economic and efficient to be applied to most of crops as an official and general method for residue analysis of metazosulfuron.
Keywords
Introduction
Pesticides have been used to protect food crops from pests (diseases, insects, weeds, nematodes and etc.) for many years. Approximately one-third of the world’s food crops is destroyed by pests during growth, harvesting and storage ( Ware and Whitacre, 2004 ).
However, with their use, the risk of residues remaining on the food is a major concern of food safety issues. Legislations were enacted through the world to regulate pesticides in food products ( Ahmed, 2001 ). The pesticide residue levels in foodstuffs are controlled by MRLs (maximum residue limits) ( Torres 1996 ), which have been set by government agencies to guarantee consumer safety and to regulate international trade. Korean Food and Drug Administration (KFDA) established 11,376 MRLs for 427 pesticides and 368 crops/food in 2012 ( KFDA, 2012 ). For this reason, a variety of analytical methods has been developed and applied routinely for the quantitative detection of pesticide residue in food. Due to the low detection levels required by regulatory bodies and the complex nature of the matrices in which the target compounds are present, efficient sample preparation through many distinctive steps and trace-level detection and identification are important aspects of analytical methods ( Stoytcheva, 2011 ). Therefore, analytical methodologies employed must be capable of residue measurement at very low levels and must also provide unambiguous evidence to confirm both the identity and the magnitude of any residues detected ( KFDA, 2012 ). In the Food Code ( KFDA, 2012 ), many analytical methods have been developed and applied routinely for the monitoring of pesticide residues in food.
Metazosulfuron [1-{3-chloro-1-methyl-4-[(5RS)-5,6-dihydro- 5-methyl-1,4,2-dioxazin-3-yl]-pyrazol-5-ylsulfonyl}-3-(4, 6-dimethoxypyrimidin-2-yl)urea] (Fig. 1), the subject pesticide, is a pyrimidinyl sulfonylurea herbicide developed by Nissan Chemical Industries, Ltd. ( Lee 2011 ). It was registered in 2012 in Korea for control of Echinochloa crus-galli, Monochoria vaginalis, Bindens tripartita, Cyperus difformis, Ludwigia prostrate, Eleocharis kuroguwai, Sagittaria trifolia, and Scirpus juncoides in rice ( Lee 2011 ; KCPA, 2012 ).
Sulfonylurea herbicides interfere with acetolactate synthase (ALS), the enzyme responsible for synthesis of branched-chain amino acids such as valine, leucine, and isoleucine. The inhibition of this enzyme disrupts the plant’s ability to manufacture proteins, with such disruption leading subsequently to the cessation of all cell division and eventual death of the plant ( Krämer 2012 ).
Analysis of sulfonylurea herbicide residues were reported for grains ( Ishimitsu 2002 ; Saha 2003 ; Kang 2011 ), seeds ( Ishimitsu 2002 ), vegetables ( Ishimitsu 2002 ), soil ( Hollaway 1999 ; Menne 1999 ; Saha 2003 ) and drinking water ( Gallitzendörfer 2011 ) using HPLC/UVD or MS, capillary electrophoresis, bioassays, and enzyme-linked immunosorbent assays. However, no report was available for the analysis of metazosulfuron residues in crop or food, since it is a relatively new sulfonylurea herbicide.
The purpose of this study is to develop a novel analytical method of metazosulfuron residues in crop/food using HPLC, which can be used generally and officially for many different crop/food samples through full method validation. As crop samples for study, representative crops were selected among five crop groups such as cereal, fruits, vegetables, beans/oily crops and potatoes.
Materials and Methods
- The subject pesticides and crops
Metazosulfuron (91.3%, purity) ( Fig. 1 ) was obtained from Kyung Nong Corporation (Seoul, Korea). Brown rice, apple, mandarin, Kimchi cabbage and soybean of "residue-free grade" were purchased from local market. They were chopped, macerated and kept in a freezer at a temperature below -20℃ in polyethylene bags.
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Structure of metazosulfuron.
- Chemicals, reagents and standard solutions
Acetonitrile, acetone, n -hexane, dichloromethane, methanol and ethyl acetate were HPLC grade (Burdick and Jackson®, Ulsan, Korea). Sodium sulfate, anhydrous (GR grade) and sodium chloride (GR grade) were from Samchun Pure Chemical Co. Ltd. (Pyeongtaek City, Korea). Florisil® (60-100 mesh, Fluka TM , Sigma-Aldrich Co., Switzerland) and silica gel (60-230 mesh, Merck, Frankfurter, Germany) were used for glass column clean-up while Florisil®, silica gel, aminopropyl (NH 2 ) SPE cartridges (1 g, SepPak, Waters corp.), and alumina N SPE cartridge (1 g, Supelco, Sigma-aldrich Co.) were used for solid phase extraction clean-up system. Acetic acid and formic acid were from Sigma-Aldrich Co. (Saint Louis, USA). Filter papers (GF/A) were from Whatman International Ltd. (Maidstone, England). Fat removing solvent (FR solvent) was prepared by saturating n-hexane in acetonitrile. A stock solution of metazosulfuron was prepared in acetonitrile at a concentration of 1000 mg/L and the working solutions were prepared by appropriate dilutions of the stock solutions with acetonitrile.
- Measurement of instrumental sensitivity and calibration curve linearity
Metazosulfuron standard solutions (0.05, 0.1, and 1 mg/L) were analyzed with HPLC and the S/N (Signal/noise ratio) of metazosulfuron peak on chromatograms was calculated for ILOQ. The standard solutions at concentrations of 0.05, 0.1, 1, 5, 10 and 12.5 mg/L were analyzed with HPLC and the calibration curve linearity (R 2 ) was measured.
- Establishment of the HPLC condition for the separation of metazosulfuron in crop samples
HPLC analysis was performed using an Agilent HPLC 1100 series system (Delaware, USA) with Agilent Eclipse XDB-C18 column or YMC-Pack pro C18 (250 mm × 4.6 mm i.d., 5 μm particles) at 35℃. Mobile phase was 0.1% formic acid in acetonitrile (A) and 0.1% formic acid in water (B) (flow rate : 1 mL/min). For the analysis of brown rice and apple samples with Agilent Eclipse XDB-C18 column, 60 : 40 (v/v, A : B) was used as mobile phase, and 65 : 35 (v/v, A : B) for mandarin, Kimchi cabbage and soybean samples with YMC Pack-pro C18 column. The injection volume was 20 μL and the detection wavelength of metazosulfuron in crop samples was at 245 nm.
For the selection of optimum detection wavelength of metazosulfuron, an aliquot (20 μL) of a standard solution (10 mg/Kg) was analyzed to get the full UV spectrum with DAD (diode-array detector; 180-400 nm) under isocratic elution (acetonitrile : water = 50 : 50, v/v).
- Clean-up with Florisil® and silica gel glass column or SPE cartridge
Glass column clean-up systems were prepared by packing of Florisil® (10 g) or silica gel (10 g) into glass column (15 × 350 mm). Those columns and two Florisil® and silica gel SPE cartridges were conditioned with n -hexane before loading the metazosulfuron standard solution (5 mL of 1 mg/L for glass column or 1 mL of 1 mg/L for SPE cartridge), and then metazosulfuron was eluted from glass columns and SPE cartridges with several compositions of acetone/ n -hexane with 1% formic acid (10/90, 20/80, 30/70, 40/60, and 50/50; v/v) in sequence. Volume of each eluting solvent was 50 mL for glass columns or 5 mL for SPE cartridges.
- Clean-up with alumina N SPE cartridges
The alumina N SPE was conditioned with dichloromethane before loading the metazosulfuron standard solution (1 mL of 1 mg/L) and then metazosulfuron was eluted from SPE cartridges with several compositions of acetone or methanol/dichloromethane with 1% acetic acid (10/90, 20/80, 30/70, 40/60, and 50/50; v/v) in sequence.
- Clean-up with NH2SPE cartridges
The NH 2 SPE was conditioned and eluted as for alumina N SPE with several compositions of acetone/dichloromethane with 1% acetic acid.
Each eluate from Florisil®, silica gel column and SPE, alumina N and NH 2 SPE was concentrated under reduced vacuum and the residue was dissolved with acetonitrile and analyzed with HPLC.
- Establishment of the partitioning condition of metazosulfuron
For the optimization of the liquid-liquid partitioning system, an aliquot of metazosulfuron solution (1 mL, 5 mg/L) was added to water (25 mL) and stood about 30 min in a separatory funnel before water (50 mL) and saturated sodium chloride solution (50 mL) were added. The mixture was extracted with each portion of three solvents (dichloromethane, n -hexane and ethyl acetate; 100 and 50 mL for each solvent). Organic phases were dried over anhydrous sodium sulfate and evaporated under reduced pressure at 40℃ (R-114, Büchi, Switzerland). The residue was dissolved with acetonitrile (5 mL) and analyzed with HPLC.
In the establishment of the fat removal system for such case of soybean, an aliquot of metazosulfuron solution (1 mL, 5 mg/L) was added to 50 mL of n -hexane saturated with acetonitrile, and extracted with FR solvent (50, 30 mL). Acetonitrile layer was evaporated under reduced pressure at 40℃ and the residue was dissolved with acetonitrile (5 mL) before analysis.
- Recovery test of metazosulfuron in various crop samples
Samples (25 g) of brown rice and soybean were macerated and fortified with metazosulfuron standard solution at 0.02 mg/Kg, 0.2 mg/Kg and 2 mg/Kg levels before the samples were extracted with acetonitrile (100 mL) by shaking (Reciprocal shaker SA-2s, Taitec, Japan) at 180 rpm for 1 h. The mixture was filtered under reduced pressure through a Whatman TM GF/A filter paper and the filter cake was rinsed with acetonitrile (30 mL). The filtrate was concentrated under vacuum at 40℃. The concentrate was dissolved in ethyl acetate (100 mL), and then water (50 mL) and saturated sodium chloride solution (50 mL) were added for partitioning by shaking. Partitioning was repeated once more with 50 mL of ethyl acetate and the combined ethyl acetate layer was dried over anhydrous sodium sulfate, concentrated, and the residue was dissolved in 20% acetone/dichloromethane (5 mL). After loading the extract (1 mL) on the NH2 SPE column, which was conditioned with dichloromethane (10 mL), the cartridge was washed with 10 mL of acetone/dichloromethane (50 : 50, v/v) and eluted with 10 mL of acetone/dichloromethane (1% acetic acid) (30 : 70, v/v). The eluate was concentrated, dissolved with acetonitrile (1 mL), and analyzed with HPLC.
- Optimization of [M+H]+ion (m/z476) of metazosulfuron in LC-MS and analysis of crop samples
Varian 500-MS IT-MASS spectrometer (California, USA) equipped with Shiseido Nanospace SI-2 HPLC (Tokyo, Japan) was used with Phenomenex Kinetex C18 column (100 mm × 2.1 mm i.d., 2.6 μm particles, California, USA). Elution solvent for HPLC was 0.1% formic acid in acetonitrile and 0.1% formic acid in water (50 : 50, v/v) (flow rate : 0.2 mL/min). Drying gas temperature, drying gas pressure, and nebulizer gas pressure were 350℃, 40 psi and 30 psi, respectively.
A standard solution (1 mg/Kg) of metazosulfuron (5 μL) was analyzed using LC-MS in ESI (Electrospray ionization) positive mode (mass range : m/z 100-600) and the instrumental conditions such as capillary voltage, RF loading storage and needle voltage were optimized for the best formation of its protonated molecular ion ([M+H] + ; m/z 476). A full scan spectrum of metazosulfuron was obtained with the optimized conditions and then m/z 476 was used as a SIM (selected ion monitoring) ion in the analysis of crop samples (0.02 mg/Kg level).
Results and Discussions
- The representative crops
Although the MRL of metazosulfuron was established only for rice (0.05 mg/Kg), apple and mandarin from fruits, Kimchi cabbage from vegetables, potato from potatoes, and soybean from beans and oil crops were selected as representative crops, in consideration of their popularity and matrix characteristics.
- HPLC conditions for analysis of metazosulfuron
Optimum detection wavelength of metazosulfuron in HPLC was investigated for sensitive detection. When a full UV spectrum of metazosulfuron was recorded using DAD, λ max was observed at 245 nm, which was used as a detection wavelength in this study. Other sulfonylurea herbicides also engaged 245 nm as a detection wavelength for azimsulfuron, flazasulfuron, and halosulfuron-methyl ( Ishimitsu 2002 ), while 212 nm for sulfosulfuron and its metabolites ( Saha 2003 ), and 230 nm for chlorsulfuron, metsulfuron-methyl, triasulfuron ( Hollaway 1999 ).
- Establishment of clean-up procedure with glass column and SPE cartridge
In pesticide residue analysis adsorption chromatography is generally used for the clean-up of the interfering coextractives (e.g. lipids and pigments) which were not removed by liquid-liquid partitioning. It depends on the existence of weaker van der Waals forces and/or hydrogen bonding ( Fong 1999 ). Florisil®, silica gel and alumina were used traditionally as column chromatography sorbents. However, in the case of sulfonylurea herbicides, C18 SPE ( Hollaway 1999 ; Menne 1999 ), PPL (styrene-divinylbenzene) SPE ( Gallitzendörfer 2011 ), alumina N and SAX (strong anion exchange) SPE ( Ishimitsu 2002 ) were also used for clean-up procedures.
In the first trial with Florisil®/silica gel glass column and Florisil®/silica gel SPE cartridges, the recoveries of metazosulfuron were very low (37-53%, data not shown) when eluted with various combinations of acetone/ n -hexane with 1% formic acid. Therefore, as reported by the Pesticide Residue Analytical Group (2006) , alumina N SPE cartridge was tried with elution solvents of acetone/dichloromethane and methanol/dichloromethane with acetic acid. On this cartridge, methanol/dichloromethane with 1% acetic acid gave only 38.4% recovery (data not shown) while acetone/dichloromethane with 1% acetic acid gave reasonable recovery of 101.9% ( Table 1 ). However, elution profile of the latter solvent was not good because metazosulfuron was eluted too late. Then NH 2 SPE cartridge was tried as reported by PRAG (2006) with acetone/dichloromethane with 1% acetic acid. In this case, a mixture of 20:80-30:70 (acetone/dichloromethane with 1% acetic acid) gave a good recovery, indicating 10 mL of such combination of solvents could be used as an elution solvent ( Table 1 ). Therefore, clean-up method was established with NH 2 SPE cartridge and acetone/dichloromethane with 1% acetic acid as the elution solvent.
Recovery rate by sequential elution of acetone/dichloromethane with 1% acetic acid
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Recovery rate by sequential elution of acetone/dichloromethane with 1% acetic acid
- Liquid-liquid partitioning of metazosulfuron
After the successful establishment of the clean-up procedure, the liquid-liquid partitioning system was examined. Liquid-liquid partitioning of sample extract between immiscible solvents, such as water versus organic solvents, removes the polar interfering coextactives (e.g. carbohydrates) ( Fong 1999 ). Sodium chloride was added in the partitioning system because when more 'salt' is dissolved in the aqueous phase, more of the pesticide is partitioned into the organic phase ( Fong 1999 ). In this study, three organic solvents such as ethyl acetate, dichloromethane, and n-hexane, were used with water ( Table 2 ). Metazosulfuron was well partitioned with ethyl acetate (100 + 50 mL), giving a total recovery of 98.5%.
Efficiency of liquid-liquid partitioning with three different solvents
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Efficiency of liquid-liquid partitioning with three different solvents
- Method validation
Method validation is a set of procedures to evaluate the performance characteristics such as recovery, linearity and range of calibration, limits of detection and quantitation of a method for specific analyte and sample types ( Codex Alimentarius Commission, 2003 ).
ILOQ ( Fong 1999 ; Miller, 2005 ) was determined as 2 ng from the analysis of several concentrations, and it is satisfactory for the quantitative analysis of low levels of metazosulfuron residue. Excellent linearity was achieved between 0.05 and 12.5 mg/Kg of metazosulfuron standard solutions, with a coefficient of determination (R 2 ) of 0.9999. The regression equations were y = 19.09737x-0.195207 for brown rice and apple, and y = 17.73516x-0.368011 for mandarin, Kimchi cabbage, and soybean.
Method Limit of Quantitation (MLOQ) is a practical LOQ of the total analytical method. It is usually calculated using ILOQ, injection volume, final extract volume and sample weight in the analytical method (Equation 1) ( Lee 2012 ).
MLOQ (mg/Kg) = (2 ng × 5 mL) / (20 μL × 25 g) = 0.02 mg/Kg___________Equation 1
MLOQ value for metazosulfuron was calculated using equation 1 was 0.02 mg/Kg. This value satisfied the criteria of KFDA which is below 0.05 mg/Kg or half of MRL ( Lee, 2012 ).
The selectivity of the analytical method was reasonable because there were no interfering peaks at the retention times of metazosulfuron (5.966 min for brown rice and apple, and 6.661 min for mandarin, Kimchi cabbage, and soybean).
Recovery test can provide accuracy and precision of the sample preparation method by the recovery rate (accuracy, %) and coefficients of variation (C.V.) (precision, %) ( Fong 1999 ). Untreated samples were spiked at MLOQ, 10 MLOQ and 100 MLOQ levels of metazosulfuron standard solutions, and the analysis was performed using the established method of extraction, partitioning, and clean-up to give reasonable recoveries (74.1-98.1%) and low C.V. (2.4-8.2%) ( Fig. 2 and 3 ). Those results were similar to other reports of sulfonylurea herbicides such as azimsulfuron, flazasulfuron, and halosulfuron-methyl in several crops by HPLC-UVD ( Ishimitsu 2002 ).
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Recoveries (%) of metazosulfuron in crop samples. Errors bars represent the C.V. (%), (n = 3).
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Representative HPLC chromatograms of apple recovery: Control sample (A), Fortified apple sample at 0.2 mg/Kg (B).
Comparing with the reported analytical methods with other sulfonylurea herbicides ( Ishimitsu 2002 ) which used complicated extraction procedures including pH adjustment and multi-step clean-up with two types of SPE cartridges, the method established in this study is much more simple, economic and efficient.
- Confirmation of metazosulfuron in crop matrices by LC-MS(SIM)
LC-MS was used for the confirmation of the recovered metazosulfuron residues in crop samples. Before sample analysis, three parameters (capillary voltage, RF loading, and needle voltage) of LC-MS were tuned to get the highest sensitivity of metazosulfuron. Capillary voltage affects the focusing of ions into the capillary as well as the energy imparted to them as they exit the capillary and enter the skimmer. RF Loading (%) optimizes the amount of energy that an ion acquires after injection into the ion trap. The needle voltage is the voltage applied to the tip of the spray needle to make charged fine droplets with the aid of a nebulizer gas. By using a combinationthese three, the full scan spectrum of metazosulfuron gave m/z 476, the protonated molecular ion [M+H] + as the most intensive peak ( Fig. 4 ). Analysis by LC-MS with SIM mode using m/z 476 ion reconfirmed that the corresponding peak in recovery samples (0.02 mg/Kg level) is a real metazosulfuron residue ( Fig. 5 ). In addition, LC-MS(SIM) gave a cleaner peak of shorter retention time without other coextractives peaks ( Fig. 5 ), and it is far more sensitive than HPLC. These results with LC-MS(SIM) suggested that it could also be used for residue analysis, if routinely available, even though it is very expensive to furnish and maintain.
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LC-MS full scan spectrum of metazosulfuron.
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LC-MS(SIM) chromatogram of soybean recovery: Control sample (A), Fortified sample at 0.02 mg/Kg (B).
Acknowledgements
This research was supported by a grant (09072KFDA4403) from Korea Food and Drug Administration in 2012.
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