1
|
Yuan X, Kim CJ, Noh HH. An LC-MS/MS Method for the Simultaneous Analysis of 380 Pesticides in Soybeans, Kidney Beans, Black Soybeans, and Mung Beans: The Effect of Bean Grinding on Incurred Residues and Partitioning. Foods 2023; 12:4477. [PMID: 38137280 PMCID: PMC10742660 DOI: 10.3390/foods12244477] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Revised: 12/04/2023] [Accepted: 12/13/2023] [Indexed: 12/24/2023] Open
Abstract
The significance of sample grinding is frequently disregarded during the development of analytical methods, which are often validated with spiked samples that may not accurately reflect incurred residues. This study investigated the particle size of ground beans as a key factor in optimizing extraction efficiency in order to develop a simple quick, easy, cheap, effective, rugged, and safe (QuEChERS)-based modified method for identifying 380 pesticides in beans using liquid chromatography-tandem mass spectrometry. The efficacy of pesticide extraction was found to be significantly affected by particle size. With small particle sizes (>40 mesh), no supernatant was recovered after QuEChERS partitioning. Therefore, a simple modification was performed before partitioning. The modified method was validated for selective extraction of pesticides, limits of quantification, linearity, accuracy, and precision. This method is simple to implement and, therefore, useful for the analysis of pesticide residues in beans.
Collapse
Affiliation(s)
| | | | - Hyun Ho Noh
- Residual Agrochemical Assessment Division, Department of Agro-Food Safety and Crop Protection, National Institute of Agricultural Sciences, Wanju 55365, Republic of Korea; (X.Y.); (C.J.K.)
| |
Collapse
|
2
|
Zhao G. Multi-Residue Detection of Eight Glucocorticoids by Nano-Au/Fluticasone Propionate Electrochemical Immunosensor. Molecules 2023; 28:6619. [PMID: 37764395 PMCID: PMC10534488 DOI: 10.3390/molecules28186619] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Revised: 09/08/2023] [Accepted: 09/08/2023] [Indexed: 09/29/2023] Open
Abstract
Based on an indirect competitive method, a novel nano-Au/fluticasone propionate electrochemical immunosensor was successfully fabricated by combining the nanoscale effect, superior conductivity of nano-Au, stable Au-S chemical bond as well as strong interaction between glucocorticoid and the receptor, which was used to simultaneously detect eight kinds of glucocorticoids. The modified immunosensors' electrochemical properties were explored by means of a cyclic voltammetry (CV) method and electrochemical impedance spectroscopy (EIS) measurements. Two factors (glucocorticoid receptor concentration, incubation time) were studied in order to obtain the optimal results. The immunosensor presents attractive electrochemical performance with a wide linear range (between 0.1 and 1500 ng⋅mL-1) and low detection limit (between 0.057 and 0.357 ng⋅mL-1), realizing the rapid multi-residue detection of a large class of glucocorticoids. Two glucocorticoids (hydrocortisone, triamcinolone) were detected in actual skincare samples, which obtained satisfactory detection results.
Collapse
Affiliation(s)
- Guozheng Zhao
- Key Laboratory of Magnetic Molecules & Magnetic Information Materials (Ministry of Education), School of Chemistry and Material Science, College of Food Science, Shanxi Normal University, Taiyuan 030031, China;
- Modern College of Humanities and Sciences of Shanxi Normal University, Linfen 041000, China
| |
Collapse
|
3
|
Yuan X, Kim CJ, Lee R, Kim M, Shin HJ, Kim L, Jeong WT, Shin Y, Kyung KS, Noh HH. Validation of a Multi-Residue Analysis Method for 287 Pesticides in Citrus Fruits Mandarin Orange and Grapefruit Using Liquid Chromatography-Tandem Mass Spectrometry. Foods 2022; 11:foods11213522. [PMID: 36360135 PMCID: PMC9657228 DOI: 10.3390/foods11213522] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Revised: 11/03/2022] [Accepted: 11/03/2022] [Indexed: 11/09/2022] Open
Abstract
Since the introduction of the positive list system (PLS) for agricultural products in the Republic of Korea, the demand for a quick, easy multi-residue analysis method increased continuously. Herein, the quick, easy, cheap, effective, rugged, and safe (QuEChERS) technique combined with liquid chromatography−tandem mass spectrometry was employed to optimize a method for the multi-residue analysis of 287 pesticide residues in mandarin orange and grapefruit. Method validation was conducted in terms of selectivity, limit of quantitation (LOQ), linearity, accuracy, precision, and matrix effect. All the compounds at low spiking levels (1, 2.5, 5, or 10 mg/kg) could be quantified at LOQs lower than 0.01 mg/kg (PLS level). The linearity of the matrix-matched calibration curve for each compound is in the range 0.5−50 μg/L, and its coefficient of determination (R2) is >0.990. Satisfactory recovery values of 70−120% with a relative standard deviation of ≤20% are obtained for all compounds in the mandarin orange and grapefruit samples. A negligible matrix effect (−20−20%) is observed for more than 94.8% and 85.4% of the pesticides in mandarin orange and grapefruit, respectively. Therefore, this analytical method can contribute to pesticide residue analyses of citrus fruits for routine laboratory testing.
Collapse
Affiliation(s)
- Xiu Yuan
- Residual Agrochemical Assessment Division, Department of Agro-Food Safety and Crop Protection, National Institute of Agricultural Sciences, Wanju 55365, Korea
| | - Chang Jo Kim
- Residual Agrochemical Assessment Division, Department of Agro-Food Safety and Crop Protection, National Institute of Agricultural Sciences, Wanju 55365, Korea
| | - Raekeun Lee
- Residual Agrochemical Assessment Division, Department of Agro-Food Safety and Crop Protection, National Institute of Agricultural Sciences, Wanju 55365, Korea
| | - Min Kim
- Residual Agrochemical Assessment Division, Department of Agro-Food Safety and Crop Protection, National Institute of Agricultural Sciences, Wanju 55365, Korea
| | - Hee Jeong Shin
- Residual Agrochemical Assessment Division, Department of Agro-Food Safety and Crop Protection, National Institute of Agricultural Sciences, Wanju 55365, Korea
| | - Leesun Kim
- Residual Agrochemical Assessment Division, Department of Agro-Food Safety and Crop Protection, National Institute of Agricultural Sciences, Wanju 55365, Korea
| | - Won Tae Jeong
- Residual Agrochemical Assessment Division, Department of Agro-Food Safety and Crop Protection, National Institute of Agricultural Sciences, Wanju 55365, Korea
| | - Yongho Shin
- Department of Applied Biology, College of Natural Resources and Life Science, Dong-A University, Busan 49315, Korea
| | - Kee Sung Kyung
- Department of Environmental and Biological Chemistry, College of Agriculture, Life and Environment Science, Chungbuk National University, Cheongju 28644, Korea
- Correspondence: (K.S.K.); (H.H.N.); Tel.: +82-63-238-3225 (H.H.N.)
| | - Hyun Ho Noh
- Residual Agrochemical Assessment Division, Department of Agro-Food Safety and Crop Protection, National Institute of Agricultural Sciences, Wanju 55365, Korea
- Correspondence: (K.S.K.); (H.H.N.); Tel.: +82-63-238-3225 (H.H.N.)
| |
Collapse
|
4
|
Kim J, Park H, Kang HS, Cho BH, Oh JH. Comparison of Sample Preparation and Determination of 60 Veterinary Drug Residues in Flatfish Using Liquid Chromatography-Tandem Mass Spectrometry. Molecules 2020; 25:molecules25051206. [PMID: 32156017 PMCID: PMC7179470 DOI: 10.3390/molecules25051206] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2020] [Revised: 03/04/2020] [Accepted: 03/05/2020] [Indexed: 11/16/2022] Open
Abstract
This study was performed to optimize the analytical method for multi-residues of 60 compounds in flatfish samples. Three sample preparation methods were tested to identify the optimal recovery conditions for target analytes. As a result, 10 mL of water/acetonitrile (1:4, v/v) was used to extract analytes from fish samples. For purification, C18 and 10 mL of acetonitrile saturated hexane were used to treat the samples. After evaporation and reconstitution, the fish samples were analyzed by ultra-performance liquid chromatography-tandem mass spectrometry. The proposed method was validated according to the CODEX guidelines (CAC/GL-71). Our results showed the recoveries of 73.2%-115% and coefficients of variation of 1.6%-22.1%. The limit of quantification was 0.0005-0.005 mg/kg in the fishery products. In analysis of real samples, no samples exceeded the limit of quantification. This analytical method can be used for multi-residue screening and confirmation of the residues of veterinary drugs in fishery products.
Collapse
|
5
|
Chen JN, Lian YJ, Zhou YR, Wang MH, Zhang XQ, Wang JH, Wu YN, Wang ML. Determination of 107 Pesticide Residues in Wolfberry with Acetate-buffered Salt Extraction and Sin-QuEChERS Nano Column Purification Coupled with Ultra Performance Liquid Chromatography Tandem Mass Spectrometry. Molecules 2019; 24:molecules24162918. [PMID: 31408943 PMCID: PMC6719108 DOI: 10.3390/molecules24162918] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2019] [Revised: 08/03/2019] [Accepted: 08/09/2019] [Indexed: 11/30/2022] Open
Abstract
A multi-residue method for the determination of 107 pesticide residues in wolfberry has been developed and validated. Similar pretreatment approaches were compared, and the linearity, matrix effect, analysis limits, precision, stability and accuracy were validated, which verifies the satisfactory performance of this new method. The LODs and LOQs were in the range of 0.14–1.91 µg/kg and 0.46–6.37 µg/kg, respectively. The recovery of analytes at three fortification levels (10 µg/kg, 50 µg/kg, 100 µg/kg) ranged from 63.3–123.0%, 72.0–118.6% and 67.0–118.3%, respectively, with relative standard deviations (RSDs) below 15.0%. The proposed method was applied to the analysis of fifty wolfberry samples collected from supermarkets, pharmacies and farmers’ markets in different cities of Shandong Province. One hundred percent of the samples analyzed included at least one pesticide, and a total of 26 pesticide residues was detected in fifty samples, which mainly were insecticides and bactericide. Several pesticides with higher detection rates were 96% for acetamiprid, 82% for imidacloprid, 54% for thiophanate-methyl, 50% for blasticidin-S, 42% for carbendazim, 42% for tebuconazole and 36% for difenoconazole in wolfberry samples. This study proved the adaptability of the developed method to the detection of multiple pesticide residues in wolfberry and provided basis for the research on the risks to wolfberry health.
Collapse
Affiliation(s)
- Jia-Nan Chen
- College of Food Science and Engineering, Shandong Agricultural University, Taian 271018, China
| | - Yu-Jing Lian
- College of Food Science and Engineering, Shandong Agricultural University, Taian 271018, China
| | - Yi-Ran Zhou
- College of Food Science and Engineering, Shandong Agricultural University, Taian 271018, China
| | - Ming-Hui Wang
- College of Food Science and Engineering, Shandong Agricultural University, Taian 271018, China
| | - Xi-Qing Zhang
- Jieke Testing Service Co., Ltd., Yantai 265231, China
| | - Jian-Hua Wang
- Agricultural College, Shandong Agricultural University, Taian 271018, China
| | - Yong-Ning Wu
- College of Food Science and Engineering, Shandong Agricultural University, Taian 271018, China
- China National Center for Food Safety Risk Assessment, Beijing 100017, China
| | - Ming-Lin Wang
- College of Food Science and Engineering, Shandong Agricultural University, Taian 271018, China.
| |
Collapse
|
6
|
Santos L, Rosa J, Freitas A, Leston S, Barbosa J, Ramos F. Detection and quantification of 47 antibiotic residues in farmed European sea bass (Dicentrarchus labrax) using a multi-class and multi-residue UHPLC-MS/MS method. Food Addit Contam Part A Chem Anal Control Expo Risk Assess 2019; 36:561-570. [PMID: 30900958 DOI: 10.1080/19440049.2019.1572229] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Abstract
In the present study, a multi-class multi-residue method for the simultaneous detection and determination of antibiotics in European sea bass (Dicentrarchus labrax) was developed and validated. The method based on UHPLC-MS/MS proved to be a rapid, highly selective and sensitive tool, requiring minimum sample preparation, for screening and detection of 47 compounds from eight different classes. The validation was performed according to EU regulation 2002/657/EC, proving the method's suitability for application in routine analysis. The method was applied to the analysis of 30 samples of farmed European sea bass purchased in different supermarkets in Portugal. Antibacterial residues were detected in 6 of the 30 analysed samples, namely enrofloxacin and oxytetracycline, in concentrations ranging from 0.1 to 12 µg kg-1.
Collapse
Affiliation(s)
- Lúcia Santos
- a REQUIMTE/LAQV, Pharmacy Faculty , University of Coimbra , Coimbra , Portugal
| | - João Rosa
- a REQUIMTE/LAQV, Pharmacy Faculty , University of Coimbra , Coimbra , Portugal.,b CFE - Centre for Functional Ecology, Department of Life Sciences , University of Coimbra , Coimbra , Portugal
| | - Andreia Freitas
- c INIAV- Instituto Nacional de Investigação Agrária eVeterinária , I.P. - Unidade Estratégica de Investigação e Serviços de Tecnologia e Segurança Alimentar, Rua dos Lágidos , Vila do Conde , Portugal
| | - Sara Leston
- a REQUIMTE/LAQV, Pharmacy Faculty , University of Coimbra , Coimbra , Portugal.,b CFE - Centre for Functional Ecology, Department of Life Sciences , University of Coimbra , Coimbra , Portugal
| | - Jorge Barbosa
- c INIAV- Instituto Nacional de Investigação Agrária eVeterinária , I.P. - Unidade Estratégica de Investigação e Serviços de Tecnologia e Segurança Alimentar, Rua dos Lágidos , Vila do Conde , Portugal
| | - Fernando Ramos
- a REQUIMTE/LAQV, Pharmacy Faculty , University of Coimbra , Coimbra , Portugal
| |
Collapse
|
7
|
Tong Z, Wu YC, Liu QQ, Shi YH, Zhou LJ, Liu ZY, Yu LS, Cao HQ. Multi-Residue Analysis of Pesticide Residues in Crude Pollens by UPLC-MS/MS. Molecules 2016; 21:E1652. [PMID: 27916955 DOI: 10.3390/molecules21121652] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2016] [Revised: 11/24/2016] [Accepted: 11/24/2016] [Indexed: 11/16/2022] Open
Abstract
A multi-residue method for the determination of 54 pesticide residues in pollens has been developed and validated. The proposed method was applied to the analysis of 48 crude pollen samples collected from eight provinces of China. The recovery of analytes ranged from 60% to 136% with relative standard deviations (RSDs) below 30%. Of the 54 targeted compounds, 19 pesticides were detected. The major detection rates of each compound were 77.1% for carbendazim, 58.3% for fenpropathrin, 56.3% for chlorpyrifos, 50.0% for fluvalinate, 31.3% for chlorbenzuron, and 29.2% for triadimefon in crude pollen samples. The maximum values of each pesticide were 4516 ng/g for carbendazim, 162.8 ng/g for fenpropathrin, 176.6 ng/g for chlorpyrifos, 316.2 ng/g for fluvalinate, 437.2 ng/g for chlorbenzuron, 79.00 ng/g for triadimefon, and so on. This study provides basis for the research on the risks to honeybee health.
Collapse
|
8
|
Zhao MA, Feng YN, Zhu YZ, Kim JH. Multi-residue method for determination of 238 pesticides in Chinese cabbage and cucumber by liquid chromatography-tandem mass spectrometry: comparison of different purification procedures. J Agric Food Chem 2014; 62:11449-56. [PMID: 25380470 DOI: 10.1021/jf504570b] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/28/2023]
Abstract
This paper describes the comparison of five sample cleanup procedures for the determination of 238 pesticides via triple quadrupole liquid chromatography-tandem mass spectrometry (LC-MS/MS, with only 10 min of chromatographic running time) in Chinese cabbage and cucumber. Samples were extracted with a quick, easy, cheap, effective, rugged, and safe (QuECHERS) preparation method and cleanup with different sorbents, including primary secondary amine (PSA), multi-walled carbon nanotubes (MWCNTs), and polystyrene (PLS), to find out the most suitable cleanup methods for Chinese cabbage and cucumber. The recovery and matrix effect were evaluated by monitoring the main parameters in one group of 238 pesticides at the spiked level of 8 and 40 μg/kg. In Chinese cabbage, when PSA dispersive solid-phase extraction (D-SPE) was applied, recoveries of 183 pesticides ranged between 70 and 120% with relative standard deviation (RSD) values lower than 20% at a spiked level of 40 μg/kg, indicating the effectiveness of the purification step. In cucumber, 203 pesticides were in the 70-120% recovery range with good reproducibility by PSA mini-cartridge column cleanup at a spiked level of 40 μg/kg and RSD values were generally below 20%. The limits of quantitation [LOQs; signal-to-noise (S/N) = 10] were in the range of 0.16-10.20 μg/kg for Chinese cabbage and 0.06-21.06 μg/kg for cucumber, while the limits of detection (LODs; S/N = 3) were between 0.05 and 3.06 μg/kg and between 0.02 and 6.32 μg/kg in Chinese cabbage and cucumber, respectively. The proposed methods that might be applied for the multi-residue analysis in Chinese cabbage and cucumber are contributed to their rapid speed and good recoveries.
Collapse
Affiliation(s)
- Mei-Ai Zhao
- College of Life Science, and ‡College of Chemistry and Pharmacy, Qingdao Agricultural University , Changcheng Road, Chengyang, Qingdao, Shandong 266-109, People's Republic of China
| | | | | | | |
Collapse
|