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Mu G, Yan S, Pan F, Xu H, Jing X, Xue X. Based on theoretical design simultaneous analysis of multiple neonicotinoid pesticides in beeswax by deep eutectic solvents extraction combined with UHPLC-MS/MS. Food Chem X 2025; 25:102073. [PMID: 39758060 PMCID: PMC11699110 DOI: 10.1016/j.fochx.2024.102073] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2024] [Revised: 12/04/2024] [Accepted: 12/06/2024] [Indexed: 01/07/2025] Open
Abstract
Beeswax, an FDA-approved component, has been extensively applied in feed, pharmaceutical, and food industries. The occurrence of neonicotinoid pesticides in beehive systems and their residues in beeswax have caused safety risks. Therefore, establishing a detection method for neonicotinoid pesticide residues in beeswax is crucial for ensuring its quality. The superhydrophobic property of beeswax makes it a challenge to develop suitable determination methods. In this work, we determined Proline and Oxalic acid as a suitable deep eutectic solvent (DES) to extract neonicotinoids from beeswax through theoretical design and verification tests. Systematic molecular dynamics simulations confirmed that hydrogen bonding and van der Waals forces facilitate the migration of neonicotinoid pesticides from beeswax into the DES. Performance analysis of the method revealed that the DES extraction combined with UHPLC-MS/MS approach exhibited excellent detection capabilities. It was applied to real beeswax sample analysis with the characteristics of simpleness, quickness, environmental friendliness, and high throughput.
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Affiliation(s)
- Guodong Mu
- State Key Laboratory of Resource Insects, Institute of Apiculture Research, Chinese Academy of Agricultural Sciences, Beijing 100093, China
| | - Sha Yan
- College of Food Science and Engineering, Shanxi Agricultural University, Taigu 030801, China
| | - Fei Pan
- State Key Laboratory of Resource Insects, Institute of Apiculture Research, Chinese Academy of Agricultural Sciences, Beijing 100093, China
| | - Haitao Xu
- State Key Laboratory of Resource Insects, Institute of Apiculture Research, Chinese Academy of Agricultural Sciences, Beijing 100093, China
| | - Xu Jing
- College of Food Science and Engineering, Shanxi Agricultural University, Taigu 030801, China
| | - Xiaofeng Xue
- State Key Laboratory of Resource Insects, Institute of Apiculture Research, Chinese Academy of Agricultural Sciences, Beijing 100093, China
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2
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Carro N, Fernández R, Sóñora S, Cobas J, García I, Ignacio M, Mouteira A. Optimization of micro-QuEChERS extraction coupled with gas chromatography-mass spectrometry for the fast determination of phthalic acid esters in mussel samples. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2023; 15:1836-1845. [PMID: 36974432 DOI: 10.1039/d3ay00042g] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
In this study, a new miniaturized version of the analytical method based on the Quick, Easy, Cheap, Effective, Rugged, and Safe (QuEChERS) technique using Florisil in the cleanup step for extracting six phthalic acid esters (PAEs) in mussel samples was developed by using a design of experiments. For this purpose, 1.5 mL of ultrapure water and later, 1.5 mL of acetonitrile were added to 0.1 g of the lyophilized sample, followed by 0.3 g of a commercial extraction salt packet (magnesium sulfate, sodium chloride, sodium citrate dihydrate, and sodium hydrogencitrate sesquihydrate). The recovered extract was purified using 0.1 g of Florisil. The final extract was evaporated and reconstituted in 1 mL of hexane. The six phthalates were determined by a GC-MS (SIM) system. The whole method was validated at two concentration levels. Recoveries ranged from 79% to 108%. Reproducibility in terms of coefficients of variation was between 4.9% and 12.1%. The limits of quantification of the whole method were between 0.53 and 38.0 μg per kg dry weight. Five mussel samples coming from the Galician Rías were analysed using this method. Except for three of the five samples where DnOP (di-n-octyl phthalate) was below the limit of quantification, all PAEs were found in concentrations that ranged between 1.99 and 372.7 μg per kg dry weight.
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Affiliation(s)
- N Carro
- Instituto Tecnolóxico para o Control do Medio Mariño de Galicia (INTECMAR), Consellería do mar, Xunta de Galicia, Peirao de Vilaxoán s/n, 36611 Vilagarcía de Arousa, Spain.
| | - R Fernández
- Instituto Tecnolóxico para o Control do Medio Mariño de Galicia (INTECMAR), Consellería do mar, Xunta de Galicia, Peirao de Vilaxoán s/n, 36611 Vilagarcía de Arousa, Spain.
| | - S Sóñora
- Instituto Tecnolóxico para o Control do Medio Mariño de Galicia (INTECMAR), Consellería do mar, Xunta de Galicia, Peirao de Vilaxoán s/n, 36611 Vilagarcía de Arousa, Spain.
| | - J Cobas
- Instituto Tecnolóxico para o Control do Medio Mariño de Galicia (INTECMAR), Consellería do mar, Xunta de Galicia, Peirao de Vilaxoán s/n, 36611 Vilagarcía de Arousa, Spain.
| | - I García
- Instituto Tecnolóxico para o Control do Medio Mariño de Galicia (INTECMAR), Consellería do mar, Xunta de Galicia, Peirao de Vilaxoán s/n, 36611 Vilagarcía de Arousa, Spain.
| | - M Ignacio
- Instituto Tecnolóxico para o Control do Medio Mariño de Galicia (INTECMAR), Consellería do mar, Xunta de Galicia, Peirao de Vilaxoán s/n, 36611 Vilagarcía de Arousa, Spain.
| | - A Mouteira
- Instituto Tecnolóxico para o Control do Medio Mariño de Galicia (INTECMAR), Consellería do mar, Xunta de Galicia, Peirao de Vilaxoán s/n, 36611 Vilagarcía de Arousa, Spain.
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3
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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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4
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Simultaneous Quantification of Opioids in Blood and Urine by Gas Chromatography-Mass Spectrometer with Modified Dispersive Solid-Phase Extraction Technique. MOLECULES (BASEL, SWITZERLAND) 2022; 27:molecules27196761. [PMID: 36235294 PMCID: PMC9570840 DOI: 10.3390/molecules27196761] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/10/2022] [Revised: 10/02/2022] [Accepted: 10/04/2022] [Indexed: 12/02/2022]
Abstract
Common methodologies such as liquid-liquid extraction and solid-phase extraction are applied for the extraction of opioids from biological specimens i.e., blood and urine. Techniques including LC-MS/LC-MSMS, GC-MS, etc. are used for qualitative or quantitative determination of opioids. The goal of the present work is to design a green, economic, rugged, and simple extraction technique for famous opioids in human blood and urine and their simultaneous quantification by GC-MS equipped with an inert plus electron impact (EI) ionization source at SIM mode to produce reproducible and efficient results. Morphine, codeine, 6-acetylmorphine, nalbuphine, tramadol and dextromethorphan were selected as target opioids. Anhydrous Epsom salt was applied for dSPE of opioids from blood and urine into acetonitrile extraction solvent with the addition of sodium phosphate buffer (pH 6) and n-hexane was added to remove non-polar interfering species from samples. BSTFA was used as a derivatizing agent for GC-MS. Following method validation, the LOD/LLOQ and ULOQ were determined for morphine, codeine, nal-buphine, tramadol, and dextromethorphan at 10 ng/mL and 1500 ng/mL, respectively, while the LOD/LLOQ and ULOQ were determined for 6-acetylmorphine at 5 ng/mL and 150 ng/mL, respectively. This method was applied to real blood and urine samples of opioid abusers and the results were found to be reproducible with true quantification.
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5
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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: 20] [Impact Index Per Article: 6.7] [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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6
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Chen X, Huang M, Xu Z, Gao Y, Yu G. Ethanol-ammonium sulfate system based modified quick, easy, cheap, effective, rugged and safe method for the determination of four neonicotinoid pesticide and metabolite residues in two canned fruits. J Sep Sci 2022; 45:2632-2641. [PMID: 35522796 DOI: 10.1002/jssc.202200016] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2022] [Revised: 04/27/2022] [Accepted: 04/29/2022] [Indexed: 11/11/2022]
Abstract
As the pesticide and its metabolite residues in processed fruits could become a significant route of human exposure. The work presented herein focuses on developing a feasible quick, easy, cheap, effective, rugged and safe method with improved extraction and cleanup system for the determination of imidacloprid, acetamiprid, thiamethoxam and clothianidin (metabolite of thiamethoxam) in canned fruits. The low toxic solvent ethanol was used to extract the analytes, and ammonium sulfate was used to promote the phase separation. Moreover, the carboxylated multi walled carbon nanotube was acted as the clean-up sorbent for removal of high solubility impurities. The proposed method was validated with fortified real samples at different concentration levels (20∼200 μg kg-1 ). Recoveries obtained from three spiked levels (20, 50, 200 μg kg-1 ) were ranged from 74.9% to 86.4% with relative standard deviations of the intra-day and inter-day in the range of 0.8 to 5.5% and 2.0 to 7.1%, respectively. Limit of detections were ranged from 0.2 to 0.5 μg kg-1 and 0.2 to 0.6 μg kg-1 for orange and peach, respectively. The results demonstrated that the proposed method could be considered appropriate, comparatively lower toxic for the analysis of neonicotinoid pesticide residues in canned fruit. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Xiaochu Chen
- Institute of Biological and Medical Engineering, Guangdong Academy of Science, Guangzhou, 510316, China.,Research Center for Sugarcane Industry Engineering Technology of Light Industry of China, Guangzhou, 510316, China
| | - Minxing Huang
- Institute of Biological and Medical Engineering, Guangdong Academy of Science, Guangzhou, 510316, China.,Research Center for Sugarcane Industry Engineering Technology of Light Industry of China, Guangzhou, 510316, China
| | - Zhuoyan Xu
- Institute of Biological and Medical Engineering, Guangdong Academy of Science, Guangzhou, 510316, China.,Research Center for Sugarcane Industry Engineering Technology of Light Industry of China, Guangzhou, 510316, China
| | - Yufeng Gao
- Institute of Biological and Medical Engineering, Guangdong Academy of Science, Guangzhou, 510316, China.,Research Center for Sugarcane Industry Engineering Technology of Light Industry of China, Guangzhou, 510316, China
| | - Goubin Yu
- Institute of Biological and Medical Engineering, Guangdong Academy of Science, Guangzhou, 510316, China.,Research Center for Sugarcane Industry Engineering Technology of Light Industry of China, Guangzhou, 510316, China
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7
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Yin Z, Yuan B, Lyu W, Huang Q, Simon JE, Wu Q. Method development and validation for analysis of phenolic compounds in fatty complex matrices using enhanced matrix removal (EMR) lipid cleanup and UHPLC-QqQ-MS/MS. Food Chem 2022; 373:131096. [PMID: 34710678 DOI: 10.1016/j.foodchem.2021.131096] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2021] [Revised: 08/15/2021] [Accepted: 09/06/2021] [Indexed: 12/01/2022]
Abstract
Reliable analysis of phenolic compounds in fatty matrices is a challenging task. In this work, a robust analytical method was developed and validated for 55 phenolic compounds employing QuEChERS (quick, efficient, cheap, easy, rugged and safe) and Enhanced Matrix Removal (EMR)-lipid cleanup in 96-well plates for sample preparation, coupled with ultra-high performance liquid chromatography with triple quadrupole mass spectrometry (UHPLC-QqQ-MS/MS). Seven high-fat matrices of pork brain, belly and liver; horse serum, beef, salmon and avocado were explored for method validation and led to promising stepwise recoveries of extraction, clean-up, drying-reconstitution of most analytes ranging from 75% to 113%, and with an accuracy of 78%∼117%, except for six catechin-analogues. The matrix removal efficiency of EMR was determined using UHPLC-quadruple time of flight (QTOF)-MS, and results indicated that 56%∼77% of co-extractives were removed. This method would be readily extended to wide range of applications demanding high-throughput and sensitive analysis of phenolic compounds in fatty samples.
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Affiliation(s)
- Zhiya Yin
- New Use Agriculture and Natural Plant Products Program, Department of Plant Biology Rutgers, The State University of New Jersey, 59 Dudley Road, New Brunswick, NJ 08901, USA; Department of Food Science, Rutgers, The State University of New Jersey, 65 Dudley Road, New Brunswick, NJ 08901, USA
| | - Bo Yuan
- New Use Agriculture and Natural Plant Products Program, Department of Plant Biology Rutgers, The State University of New Jersey, 59 Dudley Road, New Brunswick, NJ 08901, USA; Department of Food Science, Rutgers, The State University of New Jersey, 65 Dudley Road, New Brunswick, NJ 08901, USA
| | - Weiting Lyu
- New Use Agriculture and Natural Plant Products Program, Department of Plant Biology Rutgers, The State University of New Jersey, 59 Dudley Road, New Brunswick, NJ 08901, USA; Department of Medicinal Chemistry, Rutgers, The State University of New Jersey, 160 Frelinghuysen Road, Piscataway, NJ 08854, USA
| | - Qingrong Huang
- Department of Food Science, Rutgers, The State University of New Jersey, 65 Dudley Road, New Brunswick, NJ 08901, USA
| | - James E Simon
- New Use Agriculture and Natural Plant Products Program, Department of Plant Biology Rutgers, The State University of New Jersey, 59 Dudley Road, New Brunswick, NJ 08901, USA; Department of Medicinal Chemistry, Rutgers, The State University of New Jersey, 160 Frelinghuysen Road, Piscataway, NJ 08854, USA; Center for Agricultureal Food Ecosystens, The New Jersey Institute for Food, Nutrition and Health, Rutgers University, 61 Dudley Road, New Brunswick, NJ 08901, USA.
| | - Qingli Wu
- New Use Agriculture and Natural Plant Products Program, Department of Plant Biology Rutgers, The State University of New Jersey, 59 Dudley Road, New Brunswick, NJ 08901, USA; Department of Food Science, Rutgers, The State University of New Jersey, 65 Dudley Road, New Brunswick, NJ 08901, USA; Department of Medicinal Chemistry, Rutgers, The State University of New Jersey, 160 Frelinghuysen Road, Piscataway, NJ 08854, USA; Center for Agricultureal Food Ecosystens, The New Jersey Institute for Food, Nutrition and Health, Rutgers University, 61 Dudley Road, New Brunswick, NJ 08901, USA.
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8
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Yuan B, Zhao D, Lyu W, Yin Z, Kshatriya D, Simon JE, Bello NT, Wu Q. Development and validation of a micro-QuEChERS method with high-throughput enhanced matrix removal followed with UHPLC-QqQ-MS/MS for analysis of raspberry ketone-related phenolic compounds in adipose tissues. Talanta 2021; 235:122716. [PMID: 34517584 DOI: 10.1016/j.talanta.2021.122716] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Revised: 07/11/2021] [Accepted: 07/12/2021] [Indexed: 11/28/2022]
Abstract
Raspberry ketone (RK) is a major flavor compound in red raspberries, and it has been marketed as a popular weight-loss dietary supplement with high potential in accumulating in fatty tissues. However, challenges in extracting and characterizing RK and its associated phenolic compounds in fatty tissues persist due to the complex matrix effect. In this work, we reported a high-throughput sample preparation method for RK and 25 related phenolic compounds in white adipose tissues using an improved micro-scale QuEChERS (quick, efficient, cheap, easy, rugged and safe) approach with enhanced matrix removal (EMR)-lipid cleanup in 96-well plates, followed by UHPLC-QqQ-MS/MS analysis. The absolute recovery was 73-105% at the extraction step, and achieved 71-96% at the EMR cleanup step. The EMR cleanup removed around 66% of total lipids in the acetonitrile extract as profiled by UHPLC-QTOF-MS/MS. The innovative introduction of a reversed-phase C18 sorbent into the extract significantly improved the analytes' recovery during SpeedVac drying. The final accuracy achieved 80-120% for most analytes. Overall, this newly developed and validated method could serve as a powerful tool for analyzing RK and related phenolic compounds in fatty tissues.
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Affiliation(s)
- Bo Yuan
- New Use Agriculture and Natural Plant Products Program, Department of Plant Biology and Center for Agriculture Food Ecosystems, Rutgers, The State University of New Jersey, 59 Dudley Road, New Brunswick, NJ, 08901, USA; Department of Food Science, Rutgers, The State University of New Jersey, 65 Dudley Road, New Brunswick, NJ, 08901, USA
| | - Danyue Zhao
- New Use Agriculture and Natural Plant Products Program, Department of Plant Biology and Center for Agriculture Food Ecosystems, Rutgers, The State University of New Jersey, 59 Dudley Road, New Brunswick, NJ, 08901, USA; Department of Applied Biology and Chemical Technology, The Hong Kong Polytechnic University, Hong Kong.
| | - Weiting Lyu
- New Use Agriculture and Natural Plant Products Program, Department of Plant Biology and Center for Agriculture Food Ecosystems, Rutgers, The State University of New Jersey, 59 Dudley Road, New Brunswick, NJ, 08901, USA; Department of Medicinal Chemistry, Rutgers, The State University of New Jersey, 160 Frelinghuysen Road, Piscataway, NJ, 08854, USA
| | - Zhiya Yin
- New Use Agriculture and Natural Plant Products Program, Department of Plant Biology and Center for Agriculture Food Ecosystems, Rutgers, The State University of New Jersey, 59 Dudley Road, New Brunswick, NJ, 08901, USA; Department of Food Science, Rutgers, The State University of New Jersey, 65 Dudley Road, New Brunswick, NJ, 08901, USA
| | - Dushyant Kshatriya
- Department of Animal Sciences and Nutritional Sciences, School of Environmental and Biological Sciences,
Rutgers University, 84 Lipman Drive, New Brunswick, NJ, 08901, USA
| | - James E Simon
- New Use Agriculture and Natural Plant Products Program, Department of Plant Biology and Center for Agriculture Food Ecosystems, Rutgers, The State University of New Jersey, 59 Dudley Road, New Brunswick, NJ, 08901, USA; Department of Medicinal Chemistry, Rutgers, The State University of New Jersey, 160 Frelinghuysen Road, Piscataway, NJ, 08854, USA
| | - Nicholas T Bello
- Department of Animal Sciences and Nutritional Sciences, School of Environmental and Biological Sciences,
Rutgers University, 84 Lipman Drive, New Brunswick, NJ, 08901, USA
| | - Qingli Wu
- New Use Agriculture and Natural Plant Products Program, Department of Plant Biology and Center for Agriculture Food Ecosystems, Rutgers, The State University of New Jersey, 59 Dudley Road, New Brunswick, NJ, 08901, USA; Department of Food Science, Rutgers, The State University of New Jersey, 65 Dudley Road, New Brunswick, NJ, 08901, USA; Department of Medicinal Chemistry, Rutgers, The State University of New Jersey, 160 Frelinghuysen Road, Piscataway, NJ, 08854, USA.
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9
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Musarurwa H, Tavengwa NT. Emerging green solvents and their applications during pesticide analysis in food and environmental samples. Talanta 2021; 223:121507. [DOI: 10.1016/j.talanta.2020.121507] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2020] [Revised: 08/01/2020] [Accepted: 08/03/2020] [Indexed: 12/24/2022]
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10
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Senovieski ML, Gegenschatz SA, Chiappini FA, Teglia CM, Culzoni MJ, Goicoechea HC. In-syringe dispersive liquid-liquid microextraction vs. solid phase extraction: A comparative analysis for the liquid chromatographic determination of three neonicotinoids in cotyledons. Microchem J 2020. [DOI: 10.1016/j.microc.2020.105181] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
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11
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Zhu Y, Du P, Yang J, Yin Q, Yang Y. Screening of multiclass pesticide residues in maca and Moringa oleifera by a modified QuEChERS sample preparation procedure and UPLC-ESI-MS/MS analysis. RSC Adv 2020; 10:36906-36919. [PMID: 35517969 PMCID: PMC9057067 DOI: 10.1039/d0ra06375d] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2020] [Accepted: 09/17/2020] [Indexed: 11/26/2022] Open
Abstract
In the present study, a modified QuEChERS (quick, easy, cheap, effective, rugged, and safe) method was proposed for the simultaneous analysis of 75 pesticides in maca and Moringa oleifera with ultra-performance liquid chromatography-electrospray ionization-tandem mass spectrometry (UPLC-ESI-MS/MS). The developed method was validated in accordance with linearity, linear range, limit of detection, limit of quantification, accuracy, precision, and matrix effect. Each analyte had good linearity (R2 > 0.99) in the corresponding concentration range. The method LOD and LOQ values of all the analytes ranged from 0.01 μg kg−1 to 303.35 μg kg−1 and 0.03 μg kg−1 to 1011.15 μg kg−1, respectively. The recoveries (n = 6) of the analyzed pesticides were in the range of 75.92–113.43%. The RSDs of precision were between 0.60% and 7.36%. All matrix effect values ranged from 81.79% to 118.71% and 80.36% to 119.64% in maca and Moringa oleifera, respectively. The analysis of 103 samples showed the presence of isofenphos-methyl in some of them. The method had a good application prospect and could be used as a general approach for the quantitative determination of pesticide residues in food. In the present study, a modified QuEChERS (quick, easy, cheap, effective, rugged, and safe) method was proposed for the simultaneous analysis of 75 pesticides in maca and Moringa oleifera with UPLC-ESI-MS/MS.![]()
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Affiliation(s)
- Yanqin Zhu
- Research Center for Analysis and Measurement, Kunming University of Science and Technology Kunming 650093 China +86-87165113971 +86-87165113971.,Analysis and Test Center of Yunnan Province Kunming 650093 China.,Faculty of Life Science and Technology, Kunming University of Science and Technology Kunming 650500 China
| | - Ping Du
- Research Center for Analysis and Measurement, Kunming University of Science and Technology Kunming 650093 China +86-87165113971 +86-87165113971.,Analysis and Test Center of Yunnan Province Kunming 650093 China
| | - Jun Yang
- Research Center for Analysis and Measurement, Kunming University of Science and Technology Kunming 650093 China +86-87165113971 +86-87165113971.,Analysis and Test Center of Yunnan Province Kunming 650093 China
| | - Qinhong Yin
- Faculty of Narcotics Control, Yunnan Police College Kunming 650223 China
| | - Yaling Yang
- Faculty of Life Science and Technology, Kunming University of Science and Technology Kunming 650500 China
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12
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Tu X, Chen W. Overview of Analytical Methods for the Determination of Neonicotinoid Pesticides in Honeybee Products and Honeybee. Crit Rev Anal Chem 2020; 51:329-338. [PMID: 32072823 DOI: 10.1080/10408347.2020.1728516] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Abstract
Neonicotinoid pesticides are widely applied for controlling pests in a variety of agriculture crops. Due to the systemic distribution in plants, neonicotinoid pesticides have been found in nectar and pollen, which are the main source of food for the important pollinator honeybee. The risk of neonicotinoid residues in honeybee products and honeybee has caused great attention since their impacts on the environment, ecology, and food safety issues. These concerns require the accurate and sensitive determination of neonicotinoids and their metabolites in the honeybee products and honeybee. Since the trace residue level of neonicotinoid and the complexity of the samples, analysis of neonicotinoid targets in these important matrices is still a great challenge. The present review provides general overview of analytical methods for the determination of neonicotinoid pesticides and their metabolites in honeybee products and honeybee.
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Affiliation(s)
- Xijuan Tu
- College of Bee Science, Fujian Agriculture and Forestry University, Fuzhou, China.,College of Animal Science, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Wenbin Chen
- College of Bee Science, Fujian Agriculture and Forestry University, Fuzhou, China.,College of Animal Science, Fujian Agriculture and Forestry University, Fuzhou, China
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13
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Wang Z, Chen J, Zhan T, He X, Wang B. Simultaneous determination of eight neonicotinoid insecticides, fipronil and its three transformation products in sediments by continuous solvent extraction coupled with liquid chromatography-tandem mass spectrometry. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2020; 189:110002. [PMID: 31825794 DOI: 10.1016/j.ecoenv.2019.110002] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/26/2019] [Revised: 11/20/2019] [Accepted: 11/23/2019] [Indexed: 06/10/2023]
Abstract
Neonicotinoids (NEOs) and fipronil (FIP) are insecticides that are widely used in modern agriculture and have received considerable attention in recent years due to their adverse effects on non-target organisms in the environment. In the present study, a new method to simultaneously detect eight common NEO insecticides and FIP and its three transformation products (FIPs) in sediments was developed using high-performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS) based on a combined pretreatment of continuous solvent extraction (CSE) and solid phase extraction (SPE). Under optimized conditions, 5.0 g of freeze-dried sediment samples were initially extracted with methanol (20 mL)-methanol (15 mL)-water (20 mL) in sequence, and then the extract was cleaned with hydrophilic-lypophilic balance SPE cartridges, and HPLC-MS/MS analysis was conducted. The established method was validated to be sensitive, linear, accurate, and precise. The limits of detection (LOD) and limits of quantification (LOQ) of target compounds were 0.012-0.055 μg/kg d.w and 0.031-0.091 μg/kg d.w, respectively. Good linearity (R2 > 0.990) was observed between 4.0 × 10-2 and 20.0 μg/kg d.w. The recovery rates of all target insecticides were between 75.5% and 98.5%, and the relative standard deviations (RSD) were all less than 15.0% at the low, medium, and high spiked levels. Finally, the optimized method was applied to analyze 12 target insecticides in the sediments obtained from Jiaozhou Bay of China and its main inflow rivers. Acetamiprid, thiamethoxam, fipronil sulfide, and fipronil sulfone were detected in the river sediment samples at the concentration from <LOQ to 0.197 μg/kg d.w. Thus, the two types of studied insecticides can enter the sedimentary environment. Overall, the proposed method can be used to investigate the contamination status of typical NEOs and FIP insecticides in sediments and provide base data to comprehensively understand their environmental behavior, safety, and fate.
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Affiliation(s)
- Zhiwei Wang
- College of Chemistry and Molecular Engineering, Qingdao University of Science and Technology, Qingdao, 266042, China; Key Laboratory of Science and Engineering for Marine Ecology and Environment, The First Institute of Oceanography, Ministry of Natural Resources, Qingdao, 266061, China
| | - Junhui Chen
- Key Laboratory of Science and Engineering for Marine Ecology and Environment, The First Institute of Oceanography, Ministry of Natural Resources, Qingdao, 266061, China; Laboratory for Marine Ecology and Environmental Science, Pilot National Laboratory for Marine Science and Technology (Qingdao), Qingdao, 266071, China
| | - Tianrong Zhan
- College of Chemistry and Molecular Engineering, Qingdao University of Science and Technology, Qingdao, 266042, China
| | - Xiuping He
- Key Laboratory of Science and Engineering for Marine Ecology and Environment, The First Institute of Oceanography, Ministry of Natural Resources, Qingdao, 266061, China; Laboratory for Marine Ecology and Environmental Science, Pilot National Laboratory for Marine Science and Technology (Qingdao), Qingdao, 266071, China.
| | - Baodong Wang
- Key Laboratory of Science and Engineering for Marine Ecology and Environment, The First Institute of Oceanography, Ministry of Natural Resources, Qingdao, 266061, China; Laboratory for Marine Ecology and Environmental Science, Pilot National Laboratory for Marine Science and Technology (Qingdao), Qingdao, 266071, China
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14
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Recent developments and applications of QuEChERS based techniques on food samples during pesticide analysis. J Food Compost Anal 2019. [DOI: 10.1016/j.jfca.2019.103314] [Citation(s) in RCA: 60] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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15
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Li H, Sun B, Chen T. Detection of clothianidin residues in cucumber and apple juice using lateral-flow immunochromatographic assay. FOOD AGR IMMUNOL 2019. [DOI: 10.1080/09540105.2019.1667309] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Affiliation(s)
- Hongliang Li
- School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi’an, People’s Republic of China
| | - Baoguo Sun
- Beijing Technology and Business University, Beijing, People’s Republic of China
| | - Tian Chen
- School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi’an, People’s Republic of China
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Bernal J, Nozal MJ, Martín MT, Bernal JL, Ares AM. Trace analysis of flubendiamide in bee pollen using enhanced matrix removal-lipid sorbent clean-up and liquid chromatography-electrospray ionization mass spectrometry. Microchem J 2019. [DOI: 10.1016/j.microc.2019.05.037] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
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