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Su Y, Lu J, Liu J, Wang N, Li F, Lei H. Optimization, validation, and application of a liquid chromatography-tandem mass spectrometry method for the determination of 47 banned drug and related chemical residues in livestock urine using graphitized carboxyl multi-walled carbon nanotubes-based QuEChERS extraction. J Chromatogr A 2024; 1721:464858. [PMID: 38564928 DOI: 10.1016/j.chroma.2024.464858] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2024] [Revised: 02/21/2024] [Accepted: 03/29/2024] [Indexed: 04/04/2024]
Abstract
The establishment of an efficient method for the analysis of drug residues in animal urine facilitates the real-time monitoring of drugs used in the production of animal-derived food. A modified QuEChERS extraction-liquid chromatography-tandem mass spectrometry (LC-MS/MS) method was established for the determination of 47 banned drug and related chemical residues in livestock urine. The sample was extracted with acetonitrile by converting the acid-base environment. The sample cleanup effects of seven solid phase extraction cartridges and two EMR-Lipid products were compared, and three materials, including graphitized carboxyl multi-walled carbon nanotubes (MWCNTs), PSA, and C18, were selected as QuEChERS adsorbents from 24 materials. All analytes showed good linearity, with correlation coefficients (R2) greater than 0.9936. Low limits of quantification could be obtained, ranging from 0.2 to 5.5 ng/mL. The average recoveries at low, medium, and high spiked levels were in the range of 70.8-114.9 %, with intra-day precision ranging from 2.4 % to 11.2 % and inter-day precision ranging from 4.5 % to 16.1 %. Swine urine and bovine urine samples collected from different farms were effectively analyzed using the developed method, and metronidazole was detected in three swine urine samples.
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Affiliation(s)
- Youzhi Su
- School of Chemistry and Chemical Engineering/Key Laboratory of Environmental Monitoring and Pollutant Control, Shihezi University, North 4th road NO.221, Shihezi 832003, China; Yining Customs Technology Center, Yining 83500, China
| | - Jianjiang Lu
- School of Chemistry and Chemical Engineering/Key Laboratory of Environmental Monitoring and Pollutant Control, Shihezi University, North 4th road NO.221, Shihezi 832003, China.
| | - Jun Liu
- Chengdu Customs Technology Center, No. 28, South 4th Section, First Ring Road, Wuhou District, Chengdu 610041, China.
| | - Ning Wang
- Yining Customs Technology Center, Yining 83500, China; School of Chemistry and Chemical Engineering/Key Laboratory of Environmental Monitoring and Pollutant Control, Yili Normal University, Yining 835000, China
| | - Fang Li
- Yining Customs Technology Center, Yining 83500, China
| | - Hongqin Lei
- Yining Customs Technology Center, Yining 83500, China
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Multiresidue Determination of Pesticides in Potato Tuber, Peel, and Pulp by QuEChERS and UHPLC-MS/MS. FOOD ANAL METHOD 2023. [DOI: 10.1007/s12161-023-02471-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/12/2023]
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3
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Wu W, Huang X, Liang R, Guo T, Xiao Q, Xia B, Wan Y, Zhou Y. Determination of 63 mycotoxins in grain products by ultrahigh-performance liquid chromatography coupled with quadrupole-Orbitrap mass spectrometry. Food Control 2023. [DOI: 10.1016/j.foodcont.2023.109772] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/30/2023]
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4
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Development of QuEChERS-based multiresidue analytical methods to determine pesticides in corn, grapes and alfalfa. Food Chem 2022; 405:134870. [DOI: 10.1016/j.foodchem.2022.134870] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Revised: 11/02/2022] [Accepted: 11/03/2022] [Indexed: 11/09/2022]
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5
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Liu YF, Wen ZF, Bian Y, Zhou Y, Liu ZF, Zhang Y, Feng XS. A Review on Recent Innovations of Pretreatment and Analysis Methods for Sulfonylurea Herbicides. Crit Rev Anal Chem 2022:1-30. [PMID: 36045570 DOI: 10.1080/10408347.2022.2116694] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2022]
Abstract
Sulfonylurea herbicides (SUHs) are widely used in agriculture because of their low dosage, low cost, and high selectivity. However, due to improper use and lack of effective management, their residues pose a threat to the human health through environment and food pollution. Therefore, there is a need for simple, quick, economical, and effective methods to analyze SUHs in plant-derived foods, crops, and environmental samples. The present article presents a comprehensive review of the pretreatment and analytical technologies used for SUHs in various sample matrices, focusing on the developments since 2010. The main pretreatment methods include liquid-liquid extraction, solid-phase extraction, QuEChERS, and different microextraction methods, whereas analytical methods mainly include liquid chromatography coupled with different detectors, capillary electrophoresis, among others. In addition, the present study also compared the advantages and disadvantages of the methods and the future development is prospected.
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Affiliation(s)
- Yu-Fei Liu
- Department of Pharmaceutical Analysis, School of Pharmacy, China Medical University, Shenyang, China
| | - Zhi-Feng Wen
- Department of Neurosurgery, The First Affiliated Hospital of China Medical University, Shenyang, China
| | - Yu Bian
- Department of Pharmaceutical Analysis, School of Pharmacy, China Medical University, Shenyang, China
| | - Yu Zhou
- Department of Pharmacy, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zhi-Fei Liu
- Department of Pharmaceutical Analysis, School of Pharmacy, China Medical University, Shenyang, China
| | - Yuan Zhang
- Department of Pharmaceutical Analysis, School of Pharmacy, China Medical University, Shenyang, China
| | - Xue-Song Feng
- Department of Pharmaceutical Analysis, School of Pharmacy, China Medical University, Shenyang, China
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García-Vara M, Postigo C, Palma P, Bleda MJ, López de Alda M. QuEChERS-based analytical methods developed for LC-MS/MS multiresidue determination of pesticides in representative crop fatty matrices: Olives and sunflower seeds. Food Chem 2022; 386:132558. [PMID: 35339080 DOI: 10.1016/j.foodchem.2022.132558] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2021] [Revised: 02/23/2022] [Accepted: 02/23/2022] [Indexed: 11/18/2022]
Abstract
Oilseed crops are greatly extended all over the world. Their high fat content can interfere during pesticide multiresidue analysis through liquid chromatography-tandem mass spectrometry (LC-MS/MS). This work aimed at overcoming this issue by developing and validating two QuEChERS-based methods for LC-MS/MS determination of 42 pesticides in two fatty food matrices: olives and sunflower seeds. Optimization of the extraction method was achieved following a 26-2 fractional factorial design in a highly cost-effective way. Validation of the multi-residue methods demonstrated improved limits of detection, below the established maximum residue levels (MRLs) for almost all compounds, good precision, and trueness, in compliance with SANTE guidelines. Application of these methods to the analysis of real samples from the Iberian Peninsula showed the presence of some pesticides of relevant environmental concern, including four compounds contained in the Pesticide Action Network International list of highly hazardous pesticides, found at levels between 0.03 ng/g and 104 ng/g.
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Affiliation(s)
- Manuel García-Vara
- Water, Environmental and Food Chemistry Unit (ENFOCHEM), Department of Environmental Chemistry, Institute of Environmental Assessment and Water Research (IDAEA-CSIC), C/ Jordi Girona 18-26, 08034 Barcelona, Spain
| | - Cristina Postigo
- Water, Environmental and Food Chemistry Unit (ENFOCHEM), Department of Environmental Chemistry, Institute of Environmental Assessment and Water Research (IDAEA-CSIC), C/ Jordi Girona 18-26, 08034 Barcelona, Spain
| | - Patricia Palma
- Department of Technologies and Applied Sciences, Polytechnic Institute of Beja, Portugal; Institute of Earth Sciences, University of Évora, Évora, Portugal
| | - María José Bleda
- Institute for Advanced Chemistry of Catalonia (IQAC-CSIC), Jordi Girona 18-26, E-08034 Barcelona, Spain
| | - Miren López de Alda
- Water, Environmental and Food Chemistry Unit (ENFOCHEM), Department of Environmental Chemistry, Institute of Environmental Assessment and Water Research (IDAEA-CSIC), C/ Jordi Girona 18-26, 08034 Barcelona, Spain.
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Chen Z, Sun X, Chen X, Wang D, Yu X, Jiang W. HPLC-MS/MS analysis of zinc-thiazole residues in foods of plant origin by a modified derivatization-QueChERS method. Food Chem 2022; 386:132752. [PMID: 35339087 DOI: 10.1016/j.foodchem.2022.132752] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Revised: 02/12/2022] [Accepted: 03/18/2022] [Indexed: 11/04/2022]
Abstract
Zinc-thiazole is a new fungicide that was independently developed in China and has a high efficiency and low toxicity. A modified derivatization method was established to measure zinc-thiazole in foods of plant origin. Zinc-thiazole decomposed into 2-amino-5-mercapto-1,3,4-thiadiazole (AMT) under alkaline conditions, and the AMT was extracted with acidic acetonitrile (pH = 3). The AMT was quantitated by HPLC-MS/MS, and then the amount of zinc-thiazole residue was calculated. Good linearity (R2 > 0.9997) was obtained in 0.001-1 mg/L. The limit of quantification of zinc-thiazole was 0.02 mg/kg in peaches, grapes, brown rice and soybeans. A qualified accuracy (recoveries of 75%-90%) and precision (RSD of 1%-5%) were obtained at three fortified levels. This method was applied to peach samples collected from farmland, and the zinc-thiazole residues complied with the residue limits. In the future, this method could be used to analyze residues and in the risk assessment of metal-thiazole fungicides.
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Affiliation(s)
- Zirui Chen
- College of Food Science and Engineering/Collaborative Innovation Center for Modern Grain Circulation and Safety/Key Laboratory of Grains and Oils Quality Control and Processing, Nanjing University of Finance and Economics, Nanjing 210023, China
| | - Xing Sun
- Institute of Agricultural Resources & Environment, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, China
| | - Xiaolong Chen
- Institute of Agricultural Resources & Environment, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, China
| | - Donglan Wang
- Institute of Agricultural Resources & Environment, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, China
| | - Xiangyang Yu
- College of Food Science and Engineering/Collaborative Innovation Center for Modern Grain Circulation and Safety/Key Laboratory of Grains and Oils Quality Control and Processing, Nanjing University of Finance and Economics, Nanjing 210023, China; Institute of Agricultural Resources & Environment, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, China.
| | - Wenqi Jiang
- Institute of Agricultural Resources & Environment, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, China.
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Vickackaite V, Jurkute I, Poskus V, Bugelyte B. Combined microwave‐assisted extraction and headspace gas chromatography for hexanal determination in fat‐rich food. SEPARATION SCIENCE PLUS 2022. [DOI: 10.1002/sscp.202100048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Vida Vickackaite
- Department of Analytical and Environmental Chemistry Vilnius University Vilnius Lithuania
| | - Ingrida Jurkute
- Department of Analytical and Environmental Chemistry Vilnius University Vilnius Lithuania
| | - Vilius Poskus
- Department of Analytical and Environmental Chemistry Vilnius University Vilnius Lithuania
| | - Birute Bugelyte
- Department of Analytical and Environmental Chemistry Vilnius University Vilnius Lithuania
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Simultaneous determination of pesticides and their degradation products in potatoes by MSPD-LC-MS/MS. J Food Compost Anal 2021. [DOI: 10.1016/j.jfca.2021.104129] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
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10
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Kinross AD, Hageman KJ, Doucette WJ, Foster AL. Comparison of Accelerated Solvent Extraction (ASE) and Energized Dispersive Guided Extraction (EDGE) for the analysis of pesticides in leaves. J Chromatogr A 2020; 1627:461414. [PMID: 32823112 DOI: 10.1016/j.chroma.2020.461414] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2020] [Revised: 06/24/2020] [Accepted: 07/15/2020] [Indexed: 01/01/2023]
Abstract
Various techniques have been evaluated for the extraction and cleanup of pesticides from environmental samples. In this work, a Selective Pressurized Liquid Extraction (SPLE) method for pesticides was developed using a Thermo Fisher Scientific Accelerated Solvent Extraction (ASE) system. This instrument was compared to the newly introduced (2017) extraction instrument, the Energized Dispersive Guided Extraction (EDGE) system, which combines Pressurized Liquid Extraction (PLE) and dispersive Solid Phase Extraction (dSPE). We first optimized the SPLE method using the ASE instrument for pesticide extraction from alfalfa leaves using layers of Florisil and graphitized carbon black (GCB) downstream of the leaf homogenate in the extraction cell (Layered ASE method). We then compared results obtained for alfalfa and citrus leaves with the Layered ASE method to those from a method in which the leaf homogenate and sorbents were mixed (Mixed ASE method) and to similar methods modified for use with EDGE (Layered EDGE and Mixed EDGE methods). The ASE and EDGE methods led to clear, colorless extracts with low residual lipid weight. No significant differences in residual lipid masses were observed between the methods. The UV-Vis spectra showed that Florisil removed a significant quantity of the light-absorbing chemicals, but that GCB was required to produce colorless extracts. Recoveries of spiked analytes into leaf homogenates were generally similar among methods, but in several cases, significantly higher recoveries were observed in ASE extracts. Nonetheless, no significant differences were observed among pesticide concentrations in field samples when calculated with the isotope dilution method in which labelled surrogates were added to samples before extraction. The extraction time with the ASE methods was ~45 minutes, which was ~4.5 times longer than with the EDGE methods. The EDGE methods used ~10 mL more solvent than the ASE methods. Based on these results, the EDGE is an acceptable extraction instrument and, for most compounds, the EDGE had a similar extraction efficiency to the ASE methods.
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Affiliation(s)
- Ashlie D Kinross
- Department of Chemistry and Biochemistry, Utah State University, United States
| | - Kimberly J Hageman
- Department of Chemistry and Biochemistry, Utah State University, United States.
| | - William J Doucette
- Department of Civil and Environmental Engineering, Utah State University, United States
| | - Alexandria L Foster
- Department of Chemistry and Biochemistry, Utah State University, United States
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Pang J, Song X, Huang X, Yuan D. Porous monolith-based magnetism-reinforced in-tube solid phase microextraction of sulfonylurea herbicides in water and soil samples. J Chromatogr A 2020; 1613:460672. [DOI: 10.1016/j.chroma.2019.460672] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2019] [Revised: 11/01/2019] [Accepted: 11/02/2019] [Indexed: 12/27/2022]
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Poly (Octadecyl Methacrylate-Co-Trimethylolpropane Trimethacrylate) Monolithic Column for Hydrophobic in-Tube Solid-Phase Microextraction of Chlorophenoxy Acid Herbicides. Molecules 2019; 24:molecules24091678. [PMID: 31036796 PMCID: PMC6540311 DOI: 10.3390/molecules24091678] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2019] [Revised: 04/22/2019] [Accepted: 04/25/2019] [Indexed: 01/15/2023] Open
Abstract
Chlorophenoxy acid herbicides (CAHs), which are widely used on cereal crops, have become an important pollution source in grains. In this work, a highly hydrophobic poly (octadecyl methacrylate-co-trimethylolpropane trimethacrylate) [poly (OMA-co-TRIM)] monolithic column has been specially prepared for hydrophobic in-tube solid-phase microextraction (SPME) of CAHs in rice grains. Due to the hydrophobicity of CAHs in acid conditions, trace CAHs could be efficiently extracted by the prepared monolith with strong hydrophobic interaction. Several factors for online hydrophobic in-tube SPME, including the length of the monolithic column, ACN and trifluoroacetic acid percentage in the sampling solution, elution volume, and elution flow rate, were investigated with respect to the extraction efficiencies of CAHs. Under the optimized conditions, the limits of detection of the four CAHs fell in the range of 0.9–2.1 μg/kg. The calibration curves provided a wide linear range of 5–600 μg/kg and showed good linearity. The recoveries of this method ranged from 87.3% to 111.6%, with relative standard deviations less than 7.3%. Using this novel, highly hydrophobic poly (OMA-co-TRIM) monolith as sorbent, a simple and sensitive online in-tube SPME-HPLC method was proposed for analysis of CAHs residue in practical samples of rice grains.
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Graphene reinforced multiple monolithic fiber solid-phase microextraction of phenoxyacetic acid herbicides in complex samples. Talanta 2018; 191:257-264. [PMID: 30262059 DOI: 10.1016/j.talanta.2018.08.073] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2018] [Revised: 08/18/2018] [Accepted: 08/27/2018] [Indexed: 01/19/2023]
Abstract
To increase the specific surface area (SSA) of monolith-based adsorbent for the extraction of phenoxyacetic acid herbicides (PAAs) in complex samples, graphene was embedded in an adsorbent based on poly (4-vinylpyridine-co-ethylene glycol dimethacrylate) monolith (GEM). The new adsorbent was employed as extraction phase of multiple monolithic fiber solid-phase microextraction (MMF-SPME). The influences of preparation conditions and extraction parameters on the enrichment performance of GEM/MMF-SPME for PAAs were investigated in detail. Results well indicated that the embedded graphene could obviously enhance the SSA of the adsorbent and introduce π-π electrostatic stacking groups. The prepared GEM/MMF-SPME could extract PAAs effectively by means of π-π electrostatic stacking, hydrophobic, ion-exchange and hydrogen bonding interactions. Under the most favorable conditions, a convenient, sensitive, cost-effective and environmentally friendly method for the determination of trace PAAs in water and rice samples was developed by the combination of GEM/MMF-SPME and high performance liquid chromatography-diode array detection (HPLC-DAD). Results showed that for water sample, the limits of detection (LOD, S/N = 3) and limit of quantification (LOQ, S/N = 10) values were in the range of 0.093-0.12 μg/L and 0.31-0.41 μg/L, respectively. The corresponding values in rice sample were 0.36-0.66 μg/kg and 1.18-2.27 μg/kg, respectively. The proposed method was successfully applied to quantify trace PAAs in water and rice samples. Recoveries achieved for water and rice samples at different spiked concentrations were in the ranges of 70.0-118% and 70.0-117%, respectively. The RSDs varied from 0.3% to 10% for all analytes. The results well revealed the potential application of GEM/MMF-SPME as an effective sample preparation processes for the monitoring of PAAs in water, rice and other complex samples.
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