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Budetić M, Kopf D, Dandić A, Samardžić M. Review of Characteristics and Analytical Methods for Determination of Thiabendazole. Molecules 2023; 28:molecules28093926. [PMID: 37175335 PMCID: PMC10179875 DOI: 10.3390/molecules28093926] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Revised: 05/02/2023] [Accepted: 05/04/2023] [Indexed: 05/15/2023] Open
Abstract
Thiabendazole (TBZ) is a fungicide and anthelmintic drug commonly found in food products. Due to its toxicity and potential carcinogenicity, its determination in various samples is important for public health. Different analytical methods can be used to determine the presence and concentration of TBZ in samples. Liquid chromatography (LC) and its subtypes, high-performance liquid chromatography (HPLC) and ultra-high-performance liquid chromatography (UHPLC), are the most commonly used methods for TBZ determination representing 19%, 18%, and 18% of the described methods, respectively. Surface-enhanced Raman spectroscopy (SERS) and fluorimetry are two more methods widely used for TBZ determination, representing 13% and 12% of the described methods, respectively. In this review, a number of methods for TBZ determination are described, but due to their limitations, there is a high potential for the further improvement and development of each method in order to obtain a simple, precise, and accurate method that can be used for routine analysis.
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Affiliation(s)
- Mateja Budetić
- Department of Chemistry, Josip Juraj Strossmayer University of Osijek, 31000 Osijek, Croatia
| | - Doris Kopf
- Department of Chemistry, Josip Juraj Strossmayer University of Osijek, 31000 Osijek, Croatia
| | - Andrea Dandić
- Department of Chemistry, Josip Juraj Strossmayer University of Osijek, 31000 Osijek, Croatia
| | - Mirela Samardžić
- Department of Chemistry, Josip Juraj Strossmayer University of Osijek, 31000 Osijek, Croatia
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2
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Zhang Y, Lv Z, Li X, Zhao K, Huang S, Chen Y, Fu Y, Peng C, Cao T, Ke Y, Xia X. Occurrence and risk assessment of antibiotics in feces of elderly individuals in Shenzhen. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:44943-44951. [PMID: 36697981 DOI: 10.1007/s11356-023-25522-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Accepted: 01/19/2023] [Indexed: 06/17/2023]
Abstract
The occurrence of antibiotics in the feces of elderly individuals in Shenzhen, China, was investigated by monitoring 78 compounds to understand the adverse effects and its association with antibiotic residues in animal products collected from local markets. In total, 18 compounds belonging to 5 classes of antibiotics were identified in 74 of 140 fecal samples. Furthermore, 17.9% of the fecal samples contained at least two antibiotics, and 14.3% of the samples showed antibiotic concentrations higher than 100 μg/kg. Cephalothin exhibited the highest detection frequency (22.1%), followed by azithromycin (15.7%) and tilmicosin (12.9%). Oxytetracycline, norfloxacin, and azithromycin showed extremely high concentrations (> 1000 μg/kg). Eight antibiotics were detected in the animal products, with detection frequencies ranging from 4.8 to 40.0%. Five antibiotics exhibited similar detection frequencies and strong correlations between the human fecal and animal product samples. Health risk assessment based on hazard quotients showed that ciprofloxacin in animal products and human feces posed a medium and high risk, respectively. The hazard quotients of oxytetracycline, norfloxacin, and azithromycin in the feces were greater than 1, indicating a high health risk. These findings suggest that the elderly individuals were frequently exposed to antibiotics via the food chain and faced health risks posed by these antibiotics.
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Affiliation(s)
- Yuan Zhang
- National Key Laboratory of Veterinary Public Health Security, College of Veterinary Medicine, China Agricultural University, Beijing, 100193, China
| | - Ziquan Lv
- Central laboratory of Shenzhen Center for Disease Control and Prevention, Shenzhen Center for Disease Control and Prevention, Shenzhen, 518055, China
| | - Xiaowei Li
- National Key Laboratory of Veterinary Public Health Security, College of Veterinary Medicine, China Agricultural University, Beijing, 100193, China
- Beijing Key Laboratory of Detection Technology for Animal-Derived Food Safety, China Agricultural University, Beijing, 100193, China
| | - Kunxia Zhao
- National Key Laboratory of Veterinary Public Health Security, College of Veterinary Medicine, China Agricultural University, Beijing, 100193, China
| | - Suli Huang
- Central laboratory of Shenzhen Center for Disease Control and Prevention, Shenzhen Center for Disease Control and Prevention, Shenzhen, 518055, China
- Department of Environmental Health, Shenzhen Center for Disease Control and Prevention, Shenzhen, 518055, China
| | - Yuhua Chen
- Central laboratory of Shenzhen Center for Disease Control and Prevention, Shenzhen Center for Disease Control and Prevention, Shenzhen, 518055, China
- Chemical Analysis & Physical Testing Institute, Shenzhen Center for Disease Control and Prevention, Shenzhen, 518055, China
| | - Yulin Fu
- Central laboratory of Shenzhen Center for Disease Control and Prevention, Shenzhen Center for Disease Control and Prevention, Shenzhen, 518055, China
| | - Changfeng Peng
- Central laboratory of Shenzhen Center for Disease Control and Prevention, Shenzhen Center for Disease Control and Prevention, Shenzhen, 518055, China
| | - Tingting Cao
- Central laboratory of Shenzhen Center for Disease Control and Prevention, Shenzhen Center for Disease Control and Prevention, Shenzhen, 518055, China
| | - Yuebin Ke
- Central laboratory of Shenzhen Center for Disease Control and Prevention, Shenzhen Center for Disease Control and Prevention, Shenzhen, 518055, China
| | - Xi Xia
- National Key Laboratory of Veterinary Public Health Security, College of Veterinary Medicine, China Agricultural University, Beijing, 100193, China.
- Beijing Key Laboratory of Detection Technology for Animal-Derived Food Safety, China Agricultural University, Beijing, 100193, China.
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3
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Lavrukhina OI, Amelin VG, Kish LK, Tretyakov AV, Pen’kov TD. Determination of Residual Amounts of Antibiotics in Environmental Samples and Food Products. JOURNAL OF ANALYTICAL CHEMISTRY 2022. [DOI: 10.1134/s1061934822110077] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
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4
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Dai S, Liu D, Han Z, Wang Y, Lu X, Yang M, Zhang Y. Mobile tigecycline resistance gene tet(X4) persists with different animal manure composting treatments and fertilizer receiving soils. CHEMOSPHERE 2022; 307:135866. [PMID: 35952780 DOI: 10.1016/j.chemosphere.2022.135866] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/07/2022] [Revised: 07/15/2022] [Accepted: 07/24/2022] [Indexed: 06/15/2023]
Abstract
The emergence of plasmid-mediated tigecycline-resistant genes [tet(X3)to tet(X6)] in animals and humans has raised serious concerns over their possible cross-environmental dissemination. However, behavior of these emerging mobile tet(X)-variant genes in manure treatment processes, particularly for different composting treatments, has not yet been studied. Here, we explored the environmental behavior of mobile tet(X)-variant genes in two typical manure composting treatments and amended soils based on a large-scale molecular investigation across eight provinces in China. Results showed that tet(X4) was the predominant mobile tet(X)-variant gene in fresh manure, natural and thermophilic composting products with both the highest detection frequency (82.5% ± 14.7%), and absolute abundance of tet(X4)[4.26 ± 0.09) × 1010] copies/g dry weight, followed by tet(X3), tet(X6), and tet(X5). The occurrence of all mobile tet(X)-variant genes, particularly tet(X4), in receiving soil following composting fertilizer application indicated their transmission from manure to soil. Paired-sampling strategy revealed no significant reduction in mobile tet(X)-variant genes by natural composting, while thermophilic composting exhibited clear efficacy in removing tet(X)-variant genes. After thermophilic composting, tet(X4) exhibited the lowest reduction (94.1%) compared with other mobile tet(X)-variant genes (96.9%-99.9%), which may be attributable to its significant correlation with ISCR2 (P < 0.05) facilitating its transfer to various hosts including persisted thermotolerant bacteria. Thus, tet(X4) showed better persistence in livestock-related environments. Collectively, this study highlights the importance of controlling the environmental dissemination of clinically relevant mobile tet(X)-variant genes by establishing a sound process and operational strategy.
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Affiliation(s)
- Shiting Dai
- State Key Laboratory of Environmental Aquatic Chemistry, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China; University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Dejun Liu
- Beijing Key Laboratory of Detection Technology for Animal-Derived Food Safety, College of Veterinary Medicine, China Agricultural University, Beijing, 100193, China
| | - Ziming Han
- State Key Laboratory of Environmental Aquatic Chemistry, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China; University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Yang Wang
- Beijing Key Laboratory of Detection Technology for Animal-Derived Food Safety, College of Veterinary Medicine, China Agricultural University, Beijing, 100193, China
| | - Xiaofei Lu
- Beijing Zhongnong Tuba Biotechnology Research Institute Co., Ltd., Beijing, 100190, China
| | - Min Yang
- State Key Laboratory of Environmental Aquatic Chemistry, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China; University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Yu Zhang
- State Key Laboratory of Environmental Aquatic Chemistry, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China; University of Chinese Academy of Sciences, Beijing, 100049, China.
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5
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Omotola EO, Oluwole AO, Oladoye PO, Olatunji OS. Occurrence, detection and ecotoxicity studies of selected pharmaceuticals in aqueous ecosystems- a systematic appraisal. ENVIRONMENTAL TOXICOLOGY AND PHARMACOLOGY 2022; 91:103831. [PMID: 35151848 DOI: 10.1016/j.etap.2022.103831] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/06/2021] [Revised: 01/31/2022] [Accepted: 02/07/2022] [Indexed: 06/14/2023]
Abstract
Pharmaceutical compounds (PCs) have globally emerged as a significant group of environmental contaminants due to the constant detection of their residues in the environment. The main scope of this review is to fill the void of information on the knowledge on the African occurrence of selected PCs in environmental matrices in comparison with those outside Africa and their respective toxic actions on both aquatic and non-aquatic biota through ecotoxicity bioassays. To achieve this objective, the study focused on commonly used and detected pharmaceutical drugs (residues). Based on the conducted literature survey, Africa has the highest levels of ciprofloxacin, sulfamethoxazole, lamivudine, acetaminophen, and diclofenac while Europe has the lowest of all these PC residues in her physical environments. For ecotoxicity bioassays, the few data available are mostly on individual groups of pharmaceuticals whereas there is sparsely available data on their combined forms.
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Affiliation(s)
- Elizabeth Oyinkansola Omotola
- School of Chemistry and Physics, University of KwaZulu-Natal, Durban 4000, South Africa; Department of Chemical Sciences, Tai Solarin University of Education, Ijebu Ode PMB 2118, Ogun State, Nigeria.
| | | | - Peter Olusakin Oladoye
- Department of Chemistry and Biochemistry, Florida International University, 11200 SW 8th St, Miami, FL 33199, United States
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Zhi S, Zhou J, Zhang Z, Zhang K. Determination of 38 antibiotics in raw and treated wastewater from swine farms using liquid chromatography-mass spectrometry. J Sep Sci 2022; 45:1525-1537. [PMID: 35178862 DOI: 10.1002/jssc.202100845] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2021] [Revised: 02/06/2022] [Accepted: 02/13/2022] [Indexed: 11/06/2022]
Abstract
The present study firstly aimed at developing a multi-residue method to identify and quantify 38 veterinary antibiotics (belonging to 5 different classes) not only for raw swine wastewater but also for wastewater different treated by different units. The proposed method is based on a solid-phase extraction procedure and ultra-performance liquid chromatography with mass spectrometry. For sample preparation, the optimal loading sample volume was selected as 50 mL, whose pH was adjusted to approximately 3.0 using formic acid. Then 0.1 g/L ethylenediamine tetraacetic acid disodium salt was added. The recovery rates for different types of wastewaters were in the range of 35.94%-124.51% and the relative standard deviations were in the range of 0.36%-14.62%. All the matrix standard curves exhibited high linearity (0.9956-0.9999). The matrix effects for the target antibiotics ranged from -61.73% to +148.75%. To ensure practicality of the method, we performed the detection of the actual added concentration to determine method detection limits and quantitation limits. The quantitation limits of most of the target antibiotics were 0.04 μg/L, except for spiramycin (0.1 μg/L) and roxithromycin (0.2 μg/L). This optimized and validated method was applied to analyze antibiotic residues in swine water samples from 4 swine farms. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Suli Zhi
- Agro-Environmental Protection Institute, Ministry of Agriculture, Tianjin, P. R. China
| | - Jing Zhou
- Guangdong VTR Bio-Tech Co., Ltd., Zhuhai, Guangdong, P. R. China
| | - Zulin Zhang
- The James Hutton Institute, Aberdeen, United Kingdom
| | - Keqiang Zhang
- Agro-Environmental Protection Institute, Ministry of Agriculture, Tianjin, P. R. China
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7
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Zeleke G, De Baere S, Suleman S, Devreese M. Development and Validation of a Reliable UHPLC-MS/MS Method for Simultaneous Quantification of Macrocyclic Lactones in Bovine Plasma. MOLECULES (BASEL, SWITZERLAND) 2022; 27:molecules27030998. [PMID: 35164263 PMCID: PMC8838099 DOI: 10.3390/molecules27030998] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/27/2021] [Revised: 01/28/2022] [Accepted: 01/28/2022] [Indexed: 11/16/2022]
Abstract
A fast, accurate and reliable ultra-high performance liquid chromatography–tandem mass spectrometry (UHPLC-MS/MS) method was developed for simultaneous quantification of ivermectin (IVER), doramectin (DORA), and moxidectin (MOXI) in bovine plasma. A priority for sample preparation was the eradication of possible infectious diseases to avoid travel restrictions. The sample preparation was based on protein precipitation using 1% formic acid in acetonitrile, followed by Ostro® 96-well plate pass-through sample clean-up. The simple and straightforward procedure, along with the short analysis time, makes the current method unique and suitable for a large set of sample analyses per day for PK studies. Chromatographic separation was performed using an Acquity UPLC HSS-T3 column, with 0.01% acetic acid in water and methanol, on an Acquity H-Class ultra-high performance liquid chromatograph (UHPLC) system. The MS/MS instrument was a Xevo TQ-S® mass spectrometer, operating in the positive electrospray ionization mode and two multiple reaction monitoring (MRM) transitions were monitored per component. The MRM transitions of m/z 897.50 > 753.4 for IVER, m/z 921.70 > 777.40 for DORA and m/z 640.40 > 123.10 for MOXI were used for quantification. The method validation was performed using matrix-matched calibration curves in a concentration range of 1 to 500 ng/mL. Calibration curves fitted a quadratic regression model with 1/x2 weighting (r ≥ 0.998 and GoF ≤ 4.85%). Limits of quantification (LOQ) values of 1 ng/mL were obtained for all the analytes, while the limits of detection (LOD) were 0.02 ng/mL for IVER, 0.03 ng/mL for DORA, and 0.58 ng/mL for MOXI. The results of within-day (RSD < 6.50%) and between-day (RSD < 8.10%) precision and accuracies fell within acceptance ranges. No carry-over and no peak were detected in the UHPLC-MS/MS chromatogram of blank samples showing good specificity of the method. The applicability of the developed method was proved by an analysis of the field PK samples.
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Affiliation(s)
- Gemechu Zeleke
- Laboratory of Pharmacology and Toxicology, Department of Pathobiology, Pharmacology and Zoological Medicine, Faculty of Veterinary Medicine, Ghent University, B-9820 Merelbeke, Belgium; (G.Z.); (S.D.B.)
- Institute of Health, School of Pharmacy, Jimma University, Jimma P.O. Box 378, Ethiopia;
| | - Siegrid De Baere
- Laboratory of Pharmacology and Toxicology, Department of Pathobiology, Pharmacology and Zoological Medicine, Faculty of Veterinary Medicine, Ghent University, B-9820 Merelbeke, Belgium; (G.Z.); (S.D.B.)
| | - Sultan Suleman
- Institute of Health, School of Pharmacy, Jimma University, Jimma P.O. Box 378, Ethiopia;
| | - Mathias Devreese
- Laboratory of Pharmacology and Toxicology, Department of Pathobiology, Pharmacology and Zoological Medicine, Faculty of Veterinary Medicine, Ghent University, B-9820 Merelbeke, Belgium; (G.Z.); (S.D.B.)
- Correspondence: ; Tel.: +32-(0)9-264-73-47
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8
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López-Serna R, Bolado S, Irusta R, Jiménez JJ. Determination of veterinary drugs in microalgae biomass from photobioreactors fed with piggery wastewater. CHEMOSPHERE 2022; 287:132076. [PMID: 34478963 DOI: 10.1016/j.chemosphere.2021.132076] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/27/2021] [Revised: 08/25/2021] [Accepted: 08/27/2021] [Indexed: 06/13/2023]
Abstract
Concentration data of veterinary drugs in microalgae biomass collected from photobioreactors fed with piggery wastewaters are presented for the first time in this work. To this aim, a QuEChERS methodology and an ultrasound-assisted solid-liquid extraction have been assessed as sample preparation procedures with the purpose of determining 20 veterinary drugs, mainly antibiotics of different physico-chemical properties in addition to dexamethasone, fenbendazole and progesterone. Some critical operation parameters of the QuEChERS procedure were optimized by an experimental design but tetracycline, oxytetracycline, doxycycline, marbofloxacin and ciprofloxacin were not detected by the QuEChERS sample preparation. The use of a longer and thorough approach, a solid-liquid extraction with water/methanol in presence of primary secondary amine as a clean-up agent followed by solid-phase extraction on Oasis HLB cartridges, is recommended to monitor all intended analytes. The determination in extracts is carried out by ultra-high performance liquid chromatography-tandem mass spectrometry in selected reaction monitoring mode. Limits of detection about 0.2-42 ng per g of lyophilized microalgae sample, and repeatabilities about 6-46% (n = 5, RSDs) are reached. The solid-liquid extraction method was applied to microalgae biomass samples collected from a photobioreactor. Nine drugs were detected in the samples at relatively low concentration and a proportional relationship between the found concentrations and the octanol/water partition coefficients of the drugs has been outlined. Moreover, a linear ratio between the concentrations measured in biomass and effluent has been observed for most of the drugs.
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Affiliation(s)
- Rebeca López-Serna
- Department of Analytical Chemistry, Faculty of Sciences, University of Valladolid, Campus Miguel Delibes, Paseo de Belén 7, 47011, Valladolid, Spain; Institute of Sustainable Processes, Dr. Mergelina s/n, 47011, Valladolid, Spain
| | - Silvia Bolado
- Institute of Sustainable Processes, Dr. Mergelina s/n, 47011, Valladolid, Spain; Department of Chemical Engineering and Environmental Technology, School of Industrial Engineering, University of Valladolid, Dr. Mergelina, s/n, 47011, Valladolid, Spain
| | - Rubén Irusta
- Institute of Sustainable Processes, Dr. Mergelina s/n, 47011, Valladolid, Spain; Department of Chemical Engineering and Environmental Technology, School of Industrial Engineering, University of Valladolid, Dr. Mergelina, s/n, 47011, Valladolid, Spain
| | - Juan J Jiménez
- Department of Analytical Chemistry, Faculty of Sciences, University of Valladolid, Campus Miguel Delibes, Paseo de Belén 7, 47011, Valladolid, Spain; Institute of Sustainable Processes, Dr. Mergelina s/n, 47011, Valladolid, Spain.
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9
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Bustamante-Rangel M, Rodríguez-Gonzalo E, Milagros Delgado-Zamareño M. Evaluation of the selectivity of molecularly imprinted polymer cartridges for nitroimidazoles. Application to the simultaneous extraction of nitroimidazoles and benzimidazoles from samples of animal origin. Microchem J 2022. [DOI: 10.1016/j.microc.2021.107000] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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10
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Yang Y, Lin G, Liu L, Lin T. Rapid determination of multi-antibiotic residues in honey based on modified QuEChERS method coupled with UPLC-MS/MS. Food Chem 2021; 374:131733. [PMID: 34875428 DOI: 10.1016/j.foodchem.2021.131733] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2021] [Revised: 11/26/2021] [Accepted: 11/27/2021] [Indexed: 01/27/2023]
Abstract
Antibiotic residues in honey cause public health problems. To analyze multi-antibiotic residues in honey, a modified QuEChERS (quick, easy, cheap, effective, rugged and safe) extraction method coupled with ultra-performance liquid chromatography tandem mass spectrometry (UPLC-MS/MS) was developed for simultaneous quantification of 70 antibiotic residues in honey. Matrix-matched calibrations indicated the correlation coefficients were higher than 0.998. The recovery was in a range of 70.5%-119.8% with intra-day relative standard deviation (RSD) of ≤ 10.0% and inter-day RSD of ≤ 13.9%. The limits of detection ranged between 0.050 μg/kg and 1.02 μg/kg. Limits of quantification was 0.17 μg/kg to 3.40 μg/kg. The matrix effects were negligible in 71.4% of compounds and moderately in 24.3% of compounds. Methacycline, oxytetracycline, tetracycline and its metabolite 4-tetracycline residues were detected in the tested samples. Validation parameters were acceptable and were in line with the Codex guidelines. This method was effective for detecting multi-antibiotic residues in honey.
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Affiliation(s)
- Yan Yang
- Department of Physical and Chemical Analysis, Fujian Center for Disease Control and Prevention, Fuzhou 350001, China; College of Food Science, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Guobing Lin
- Department of Physical and Chemical Analysis, Fujian Center for Disease Control and Prevention, Fuzhou 350001, China
| | - Lijing Liu
- Department of Physical and Chemical Analysis, Fujian Center for Disease Control and Prevention, Fuzhou 350001, China
| | - Tainan Lin
- Fujian Provincial Governmental Hospital, Fuzhou 350001, China.
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11
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Cavaillé L, Kim C, Bounouba M, Zind H, Claparols C, Riboul D, Pinelli E, Albasi C, Bessiere Y. Development and validation of QuEChERS-based extraction for quantification of nine micropollutants in wastewater treatment plant. Anal Bioanal Chem 2021; 413:5201-5213. [PMID: 34228133 DOI: 10.1007/s00216-021-03489-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2021] [Revised: 06/10/2021] [Accepted: 06/17/2021] [Indexed: 10/20/2022]
Abstract
A modified quick, easy, cheap, effective, rugged, and safe (QuEChERS) method was established for simultaneous quantification of eight pharmaceutical molecules (2-hydroxyibuprofen, diclofenac, ibuprofen, propranolol, ofloxacin, oxazepam, sulfamethoxazole, carbamazepine) and caffeine in environmental matrices. Analysis was performed by ultra-high-performance liquid chromatography with tandem mass spectrometry (UHPLC-MS-MS). Quantification was performed by using the 13C internal standard method for each molecule. Two methods were firstly optimized on freeze-dried waste activated sludge and then applied and validated on real complex matrices, which have contrasted physicochemical properties, i.e., clarified wastewater and primary sludge. The combination of acetate buffer with MgSO4 (protocol A) and citrate buffer with Na2SO4 (protocol B) was found necessary to recover the nine targeted compounds. Adding a higher salts quantity of Na2SO4 (protocol B) compared to MgSO4 (protocol A) is crucial to increase the ionic strength of the aqueous solution and to obtain comparable extraction recoveries of the targeted molecules. Adding two times solvent volume to the aqueous phase leads to increased absolute recovery for all molecules and both protocols. After demonstration of the final protocol's performance on the control matrix, its robustness was tested on the matrices of interest. As a result, the two proposed detection methods exhibit good reproducibility, high sensitivity, and high reliability.
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Affiliation(s)
- L Cavaillé
- Laboratoire de Génie Chimique, Université de Toulouse, CNRS, INPT, UPS, CNRS, INPT, UPS, 31400, Toulouse, France
| | - C Kim
- TBI, Université de Toulouse, CNRS, INRAE, INSA, 135 Avenue de Rangueil, 31077, Toulouse, France
| | - M Bounouba
- TBI, Université de Toulouse, CNRS, INRAE, INSA, 135 Avenue de Rangueil, 31077, Toulouse, France
| | - H Zind
- TBI, Université de Toulouse, CNRS, INRAE, INSA, 135 Avenue de Rangueil, 31077, Toulouse, France
| | - C Claparols
- Université de Toulouse, UPS, ICT, 118 route de Narbonne, 31062, Toulouse Cedex 9, France.,CNRS, LCC, 205 route de Narbonne, BP 44099, 31077, Toulouse Cedex 4, France
| | - D Riboul
- Laboratoire de Génie Chimique, Université de Toulouse, CNRS, INPT, UPS, CNRS, INPT, UPS, 31400, Toulouse, France.,UMR 5245 CNRS-INP-UPS, Laboratoire d'écologie fonctionnelle et Environnement, 31326, Castanet-Tolosan, France
| | - E Pinelli
- UMR 5245 CNRS-INP-UPS, Laboratoire d'écologie fonctionnelle et Environnement, 31326, Castanet-Tolosan, France
| | - C Albasi
- Laboratoire de Génie Chimique, Université de Toulouse, CNRS, INPT, UPS, CNRS, INPT, UPS, 31400, Toulouse, France
| | - Y Bessiere
- TBI, Université de Toulouse, CNRS, INRAE, INSA, 135 Avenue de Rangueil, 31077, Toulouse, France.
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12
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Argüeso-Mata M, Bolado S, Jiménez JJ, López-Serna R. Determination of antibiotics and other veterinary drugs in the solid phase of pig manure. CHEMOSPHERE 2021; 275:130039. [PMID: 33640746 DOI: 10.1016/j.chemosphere.2021.130039] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/04/2020] [Revised: 02/08/2021] [Accepted: 02/13/2021] [Indexed: 06/12/2023]
Abstract
The presence of residues of veterinary pharmaceuticals in farm wastewaters such as pig slurry represents a problem that needs to be tackled to avoid further contamination of environmental waters and the development of resistant bacteria. For their monitoring and control, it is necessary the existence of reliable analytical tools. The present paper describes for the first time the development and optimization by statistical experimental design of a specifically designed analytical method for the analysis of 21 veterinary drugs, including 18 antibiotics of several families (β-lactams, tetracyclines, fluoroquinolones, sulfonamides, macrolides, among others), 1 antiparasitic, 1 analgesic and 1 hormone, in a complex environmental matrix such as the fresh solid phase of pig slurry. The resulting method, consisted of an ultrasound assisted extraction (UAE) combined with in-situ dispersive solid phase extraction (d-SPE) from a 0.3 g of freeze-dried sample aliquot followed by a preconcentration step by compact solid phase extraction (c-SPE) and subsequent instrumental analysis by ultra-high-performance-liquid-chromatography (UHPLC) coupled to mass spectrometry in tandem (MS/MS) by a triple quadrupole, was successfully validated as a very sensitive (method limit of quantification in the low ng g-1) and reliable method (relative recoveries around 100% and method repeatability featured by a general relative standard deviation below 20%). Provided raw data was intended to be processed by matrix-matched quantification approach. The resulting methodology was applied to the characterization of several pig manures from different Spanish farms sampled across breeding season between 2018 and 2019. Sample precedence showed to have a high impact in the positives, its frequency and concentration.
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Affiliation(s)
- Manuel Argüeso-Mata
- Department of Analytical Chemistry, Faculty of Sciences, University of Valladolid, Campus Miguel Delibes, Paseo de Belén 7, 47011, Valladolid, Spain; Institute of Sustainable Processes, Dr. Mergelina s/n, 47011, Valladolid, Spain
| | - Silvia Bolado
- Institute of Sustainable Processes, Dr. Mergelina s/n, 47011, Valladolid, Spain; Department of Chemical Engineering and Environmental Technology, School of Industrial Engineering, University of Valladolid, Dr. Mergelina, S/n, 47011, Valladolid, Spain
| | - Juan José Jiménez
- Department of Analytical Chemistry, Faculty of Sciences, University of Valladolid, Campus Miguel Delibes, Paseo de Belén 7, 47011, Valladolid, Spain; Institute of Sustainable Processes, Dr. Mergelina s/n, 47011, Valladolid, Spain
| | - Rebeca López-Serna
- Institute of Sustainable Processes, Dr. Mergelina s/n, 47011, Valladolid, Spain; Department of Chemical Engineering and Environmental Technology, School of Industrial Engineering, University of Valladolid, Dr. Mergelina, S/n, 47011, Valladolid, Spain.
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13
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Fu Y, Chen Y, Liu D, Yang D, Liu Z, Wang Y, Wang J, Wang X, Xu X, Li X, He J, Jiang J, Zhai W, Huang L, He T, Xia X, Cai C, Wang Y, Jiang H. Abundance of tigecycline resistance genes and association with antibiotic residues in Chinese livestock farms. JOURNAL OF HAZARDOUS MATERIALS 2021; 409:124921. [PMID: 33421874 DOI: 10.1016/j.jhazmat.2020.124921] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/31/2020] [Revised: 12/17/2020] [Accepted: 12/19/2020] [Indexed: 06/12/2023]
Abstract
The discovery of plasmid-mediated tet(X) variants and efflux pump gene tmexCD1-toprJ1 conferring bacteria resistance to tigecycline has compromised glycylcycline as the last line of defense against infection, which poses serious threat to public health. Herein, real-time quantitative PCR was used to detect the abundance of seven tigecycline resistance genes (TRGs), including six tet(X) variants and tmexCD1-toprJ1, and insertion sequences ISCR2 and IS26. Then, the concentrations of nine antibiotics were quantified in fecal samples collected from 157 livestock farms in four Chinese provinces. TRGs, especially tet(X4), tmexCD1-toprJ1, and insertion sequences ISCR2 and IS26, were more abundant in chicken feces than in pig and cattle feces, suggesting the greater risk for the propagation of TRGs in chicken feces. Positive correlations (ρ = 0.3741-0.8275, P < 0.0001) between ISCR2/IS26 and TRGs (except tet(X1)) further demonstrated that ISCR2 mediates the transfer of tet(X3), tet(X4), and tet(X5) and that IS26 plays a certain role for the mobilization of tet(X4) and tmexCD1-toprJ1. Tetracyclines had no positive correlation with the abundance of TRGs (except tet(X1)), meanwhile florfenicol and tiamulin were positively correlated with TRGs. However, further research is needed to confirm whether or not florfenicol and tiamulin are potential driving factors of TRG accumulation.
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Affiliation(s)
- Yulin Fu
- Beijing Key Laboratory of Detection Technology for Animal-Derived Food Safety, College of Veterinary Medicine, China Agricultural University, Beijing 100193, China
| | - Yiqiang Chen
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Dejun Liu
- Beijing Key Laboratory of Detection Technology for Animal-Derived Food Safety, College of Veterinary Medicine, China Agricultural University, Beijing 100193, China
| | - Dawei Yang
- China Institute of Veterinary Drug Control, Beijing 100081, China
| | - Zhihai Liu
- College of Chemistry and Pharmaceutical Sciences, Qingdao Agricultural University, Qingdao 266109, China
| | - Yingyu Wang
- Beijing Key Laboratory of Detection Technology for Animal-Derived Food Safety, College of Veterinary Medicine, China Agricultural University, Beijing 100193, China
| | - Jiayi Wang
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Xueyang Wang
- Beijing Key Laboratory of Detection Technology for Animal-Derived Food Safety, College of Veterinary Medicine, China Agricultural University, Beijing 100193, China
| | - Xiangyue Xu
- National Laboratory for Veterinary Drug Safety Evaluation, Huazhong Agriculture University, Wuhan 430070, China; College of Veterinary Medicine, Huazhong Agriculture University, Wuhan 430070, China
| | - Xing Li
- Beijing Key Laboratory of Detection Technology for Animal-Derived Food Safety, College of Veterinary Medicine, China Agricultural University, Beijing 100193, China
| | - Junjia He
- Beijing Key Laboratory of Detection Technology for Animal-Derived Food Safety, College of Veterinary Medicine, China Agricultural University, Beijing 100193, China
| | - Junyao Jiang
- Beijing Key Laboratory of Detection Technology for Animal-Derived Food Safety, College of Veterinary Medicine, China Agricultural University, Beijing 100193, China
| | - Weishuai Zhai
- Beijing Key Laboratory of Detection Technology for Animal-Derived Food Safety, College of Veterinary Medicine, China Agricultural University, Beijing 100193, China
| | - Lingli Huang
- National Laboratory for Veterinary Drug Safety Evaluation, Huazhong Agriculture University, Wuhan 430070, China; College of Veterinary Medicine, Huazhong Agriculture University, Wuhan 430070, China
| | - Tao He
- Institute of Food Safety and Nutrition, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, China
| | - Xi Xia
- Beijing Key Laboratory of Detection Technology for Animal-Derived Food Safety, College of Veterinary Medicine, China Agricultural University, Beijing 100193, China
| | - Chang Cai
- Research and Innovation Office, Murdoch University, Murdoch 6150, Australia; China Australia Joint Laboratory for Animal Health Big Data Analytics, College of Animal Science and Technology, Zhejiang Agricultural and Forestry University, Hangzhou 311300, China
| | - Yang Wang
- Beijing Key Laboratory of Detection Technology for Animal-Derived Food Safety, College of Veterinary Medicine, China Agricultural University, Beijing 100193, China.
| | - Haiyang Jiang
- Beijing Key Laboratory of Detection Technology for Animal-Derived Food Safety, College of Veterinary Medicine, China Agricultural University, Beijing 100193, China.
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14
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Wang Y, Li X, Fu Y, Chen Y, Wang Y, Ye D, Wang C, Hu X, Zhou L, Du J, Shen J, Xia X. Association of florfenicol residues with the abundance of oxazolidinone resistance genes in livestock manures. JOURNAL OF HAZARDOUS MATERIALS 2020; 399:123059. [PMID: 32516648 DOI: 10.1016/j.jhazmat.2020.123059] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/19/2020] [Revised: 05/23/2020] [Accepted: 05/25/2020] [Indexed: 06/11/2023]
Abstract
Livestock and poultry manures are major reservoirs of antibiotic-resistant bacteria and antibiotic resistance genes (ARGs). Linezolid is a clinical medicine for humans and has never been approved for use in livestock. Interestingly, three linezolid resistance genes (cfr, optrA, and poxtA) have been detected in bacteria of animal origin, arousing public concern. This study investigated the abundance of three ARGs, cfr, optrA, and poxtA, in manures from 157 large-scale farms in China using real-time quantitative polymerase chain reaction. The residual concentrations of linezolid, florfenicol, tiamulin, and valnemulin were determined using ultra-high performance liquid chromatography-tandem mass spectrometry. A total of 140 livestock farms were tested positive for ARGs, and the positive detection rate was 89.17 %. OptrA was the most commonly detected ARG. The diversity and abundance of ARGs were significantly higher in poultry and swine manure than in bovine manure. Redundancy analysis presented a strong association between florfenicol and all the three ARGs targeted in the study, and tiamulin showed a significant correlation with optrA. Our results indicated that the residual concentration of florfenicol had a major effect on the distribution of the three ARGs in livestock manures, and extensive use of florfenicol may lead to the production of linezolid resistance genes.
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Affiliation(s)
- Yingyu Wang
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Veterinary Medicine, China Agricultural University, Beijing 100193, China
| | - Xiaowei Li
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Veterinary Medicine, China Agricultural University, Beijing 100193, China
| | - Yulin Fu
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Veterinary Medicine, China Agricultural University, Beijing 100193, China
| | - Yiqiang Chen
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Yang Wang
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Veterinary Medicine, China Agricultural University, Beijing 100193, China
| | - Dongyang Ye
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Veterinary Medicine, China Agricultural University, Beijing 100193, China
| | - Chengfei Wang
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Veterinary Medicine, China Agricultural University, Beijing 100193, China
| | - Xue Hu
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Veterinary Medicine, China Agricultural University, Beijing 100193, China
| | - Lan Zhou
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Veterinary Medicine, China Agricultural University, Beijing 100193, China
| | - Jingjing Du
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Veterinary Medicine, China Agricultural University, Beijing 100193, China
| | - Jianzhong Shen
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Veterinary Medicine, China Agricultural University, Beijing 100193, China.
| | - Xi Xia
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Veterinary Medicine, China Agricultural University, Beijing 100193, China.
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15
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Xu C, Lv Z, Shen Y, Liu D, Fu Y, Zhou L, Liu W, Chen K, Ye H, Xia X, Xia J, Wang Y, Ke Y, Shen J. Metagenomic insights into differences in environmental resistome profiles between integrated and monoculture aquaculture farms in China. ENVIRONMENT INTERNATIONAL 2020; 144:106005. [PMID: 32739516 DOI: 10.1016/j.envint.2020.106005] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/22/2020] [Revised: 07/20/2020] [Accepted: 07/20/2020] [Indexed: 06/11/2023]
Abstract
Cumulative research on resistomes and microbiomes from aquatic environments has revealed that both integrated freshwater and monoculture freshwater aquaculture systems can cause the development and dissemination of antibiotic resistance genes (ARGs) and associated mobile genetic elements (MGEs). However, few studies have examined differences in resistomes between the different aquaculture modes, and those that do have focused on antibiotic residues or individual resistance genes. In the current study, we collected 44 environmental samples from two monoculture freshwater aquaculture farms and four integrated farms (two duck and fish farms, two laying duck and fish farms) in Guangdong, China, in 2018. After measuring the concentrations of antibiotic residues in the samples, we characterized MGEs and ARGs and examined their association with potential bacterial hosts in the microbial communities using high-throughput sequencing-based metagenomic and network analyses. We then compared the resistome profiles of the different aquaculture models. We found that the number and total relative abundance of ARG and MGE subtypes in the integrated (fish and duck/laying duck) farm samples were significantly higher than those in samples from monoculture freshwater aquaculture farms. Specifically, both the mobile colistin resistance genes mcr variants and tigecycline resistance gene tet(X) variants in integrated farms exhibited higher total relative abundance than that in monoculture farms. Moreover, the interrelationships among ARGs and microbial taxa, ARGs and MGEs, and MGEs and microbial taxa in the integrated farm samples were also more complex than those observed in monoculture freshwater aquaculture farm samples. Meanwhile, the species of Acinetobacter and Escherichia were identified to be the possible host of tet(X) and ESBL gene blaCTX-M in aquaculture, respectively. To the best of our knowledge, this is the first metagenomic study to analyze differences in resistome profiles between integrated and monoculture ponds. Overall, integrated aquaculture systems exhibited a higher prevalence of resistance genes compared with monoculture freshwater aquaculture farms. Therefore, additional antimicrobial resistance surveillance should be focused on this type of freshwater aquaculture system.
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Affiliation(s)
- Chunyan Xu
- Beijing Key Laboratory of Detection Technology for Animal-Derived Food Safety, College of Veterinary Medicine, China Agricultural University, Beijing, China
| | - Ziquan Lv
- Key Laboratory of Molecular Epidemiology of Shenzhen, Shenzhen Center for Disease Control and Prevention, Shenzhen, China
| | - Yingbo Shen
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Dejun Liu
- Beijing Key Laboratory of Detection Technology for Animal-Derived Food Safety, College of Veterinary Medicine, China Agricultural University, Beijing, China
| | - Yulin Fu
- Beijing Key Laboratory of Detection Technology for Animal-Derived Food Safety, College of Veterinary Medicine, China Agricultural University, Beijing, China
| | - Lan Zhou
- Beijing Key Laboratory of Detection Technology for Animal-Derived Food Safety, College of Veterinary Medicine, China Agricultural University, Beijing, China
| | - Weiwen Liu
- Key Laboratory of Molecular Epidemiology of Shenzhen, Shenzhen Center for Disease Control and Prevention, Shenzhen, China
| | - Kun Chen
- Key Laboratory of Molecular Epidemiology of Shenzhen, Shenzhen Center for Disease Control and Prevention, Shenzhen, China
| | - Hailing Ye
- Key Laboratory of Molecular Epidemiology of Shenzhen, Shenzhen Center for Disease Control and Prevention, Shenzhen, China
| | - Xi Xia
- Beijing Key Laboratory of Detection Technology for Animal-Derived Food Safety, College of Veterinary Medicine, China Agricultural University, Beijing, China
| | - Junjie Xia
- Key Laboratory of Molecular Epidemiology of Shenzhen, Shenzhen Center for Disease Control and Prevention, Shenzhen, China
| | - Yang Wang
- Beijing Key Laboratory of Detection Technology for Animal-Derived Food Safety, College of Veterinary Medicine, China Agricultural University, Beijing, China
| | - Yuebin Ke
- Key Laboratory of Molecular Epidemiology of Shenzhen, Shenzhen Center for Disease Control and Prevention, Shenzhen, China.
| | - Jianzhong Shen
- Beijing Key Laboratory of Detection Technology for Animal-Derived Food Safety, College of Veterinary Medicine, China Agricultural University, Beijing, China.
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16
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Zhi S, Zhou J, Liu H, Wu H, Zhang Z, Ding Y, Zhang K. Simultaneous extraction and determination of 45 veterinary antibiotics in swine manure by liquid chromatography-tandem mass spectrometry. J Chromatogr B Analyt Technol Biomed Life Sci 2020; 1154:122286. [PMID: 32755814 DOI: 10.1016/j.jchromb.2020.122286] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2020] [Revised: 05/25/2020] [Accepted: 07/24/2020] [Indexed: 11/17/2022]
Abstract
A multiresidue method for identification and quantification of 45 veterinary antibiotics (VAs) belonging to 5 different drug classes has been developed, which is the first comprehensive method for pig manure. The proposed method used mixed liquor with methanol: acetonitrile: citrate buffer ratio of 1:1:2 to extract the target VAs from freeze-dried manure. The extracting solution passed through solid-phase extraction (SPE) procedure with Oasis HLB cartridges, which could isolate the target VAs and clean the samples in a single step. After blow-drying and concentrating, the samples were analyzed by ultra-high performance liquid chromatography-tandem mass spectrometry (UHPLC-MS/MS) in one single injection with a run time of 12 min. The average recovery rates for most of the VAs were in the range of 50-120% with relative standard deviations below 15%. Linearity was studied in the range between 2 and 1000 μg/kg using matrix-matched calibration and pure solvent calibration, to evaluate the matrix effects (MEs). The limits of detection (LDs) and quantification (LQs) were in the range of 0.01-1.54 μg/kg and 0.03-5.13 μg/kg respectively, except for penicillin G. Finally, the proposed method was used to quantify VA residues in real swine manure from three farms with different scales; tetracyclines, sulfonamides, quinolones and macrolides were the most frequently detected compounds.
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Affiliation(s)
- Suli Zhi
- Agro-Environmental Protection Institute, Ministry of Agriculture and Rural Affairs, Tianjin 300191, China
| | - Jing Zhou
- College of Resources and Environment, Northeast Agricultural University, Haerbin 150036, China
| | - Haixue Liu
- Agricultural Analysis and Test Center, Tianjin Agricultural University, Tianjin 300384, China
| | - Huihui Wu
- Agricultural Analysis and Test Center, Tianjin Agricultural University, Tianjin 300384, China
| | - Zulin Zhang
- The James Hutton Institute, Craigiebuckler, Aberdeen AB15 8QH, UK
| | - Yongzhen Ding
- Agro-Environmental Protection Institute, Ministry of Agriculture and Rural Affairs, Tianjin 300191, China
| | - Keqiang Zhang
- Agro-Environmental Protection Institute, Ministry of Agriculture and Rural Affairs, Tianjin 300191, China.
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17
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Qian M, Yang L, Chen X, Li K, Xue W, Li Y, Zhao H, Cao G, Guan X, Shen G. The treatment of veterinary antibiotics in swine wastewater by biodegradation and Fenton-like oxidation. THE SCIENCE OF THE TOTAL ENVIRONMENT 2020; 710:136299. [PMID: 31923671 DOI: 10.1016/j.scitotenv.2019.136299] [Citation(s) in RCA: 37] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/21/2019] [Revised: 12/21/2019] [Accepted: 12/21/2019] [Indexed: 06/10/2023]
Abstract
Elevated concentrations and potential toxicities of antibiotics in swine wastewater prompt the exploration of effective treatment methods to minimize the amount of antibiotics released to the environment. This study examined the technical and economic feasibility of using combined biodegradation and advanced oxidation processes for swine wastewater treatment. The up-flow anaerobic sludge blanket (UASB) reactor was mainly responsible for conventional organic pollutant removal (i.e., a COD removal rate of 75%). The subsequent sequencing batch reactor (SBR) under a short sludge retention time (SRT) of 3 days removed the biodegradable antibiotics by >95%, and hindered the nitrification process which retained NH4+-N and reduced operational cost (since the treated wastewater was intended to be used as a farm fertilizer). The subsequent Fenton-like oxidation (with the aid of citric acid) achieved an average antibiotic removal efficiency of 74% under optimal reaction conditions: H2O2 dosage of 2.9 mM, [Fe2+]: [H2O2] = 1:3, [CA]: [Fe2+] = 1:1, pH 6.0, reaction time of 120 min. The superior treatment efficiency of Fenton-like compared to the conventional Fenton (74% vs 5%) under nearly neutral conditions was attributed to the chelating role of citric acid with Fe2+/Fe3+, leading to the enhanced Fe2+/Fe3+ solubility and therefore the promotion of ∙OH formation. This hybrid process of anaerobic and aerobic biodegradation and Fenton-like oxidation should be suitable and cost-effective for the treatment of wastewater with abundant conventional pollutants and persistent emerging trace contaminants.
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Affiliation(s)
- Mengcheng Qian
- School of Resources and Environmental Engineering, East China University of Science and Technology, Shanghai 200237, China
| | - Linyan Yang
- School of Resources and Environmental Engineering, East China University of Science and Technology, Shanghai 200237, China; Shanghai Institute of Pollution Control and Ecological Security, Shanghai 200092, China; National Engineering Laboratory for Industrial Wastewater Treatment, East China University of Science and Technology, Shanghai 200237, China.
| | - Xingkui Chen
- School of Resources and Environmental Engineering, East China University of Science and Technology, Shanghai 200237, China
| | - Kai Li
- School of Resources and Environmental Engineering, East China University of Science and Technology, Shanghai 200237, China
| | - Weibo Xue
- School of Resources and Environmental Engineering, East China University of Science and Technology, Shanghai 200237, China
| | - Yejin Li
- School of Resources and Environmental Engineering, East China University of Science and Technology, Shanghai 200237, China
| | - Huihui Zhao
- School of Resources and Environmental Engineering, East China University of Science and Technology, Shanghai 200237, China
| | - Guomin Cao
- School of Resources and Environmental Engineering, East China University of Science and Technology, Shanghai 200237, China; Shanghai Institute of Pollution Control and Ecological Security, Shanghai 200092, China; National Engineering Laboratory for Industrial Wastewater Treatment, East China University of Science and Technology, Shanghai 200237, China
| | - Xiaohong Guan
- State Key Laboratory of Pollution Control and Resources Reuse, College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China
| | - Genxiang Shen
- Shanghai Academy of Environmental Sciences, Shanghai 200233, China
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18
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Irlam RC, Parkin MC, Brabazon DP, Beardah MS, O'Donnell M, Barron LP. Improved determination of femtogram-level organic explosives in multiple matrices using dual-sorbent solid phase extraction and liquid chromatography-high resolution accurate mass spectrometry. Talanta 2019; 203:65-76. [DOI: 10.1016/j.talanta.2019.05.047] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2018] [Revised: 05/09/2019] [Accepted: 05/10/2019] [Indexed: 10/26/2022]
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19
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Wang J, Hu Q, Li P, Fang Y, Yang W, Ma N, Pei F. Comparison of three different lipid removal cleanup techniques prior to the analysis of sulfonamide drug residues in porcine tissues. Food Sci Nutr 2019; 7:3006-3016. [PMID: 31572594 PMCID: PMC6766571 DOI: 10.1002/fsn3.1158] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2019] [Revised: 06/20/2019] [Accepted: 06/25/2019] [Indexed: 11/10/2022] Open
Abstract
A number of 17 sulfonamides (SNs) determination in porcine tissues using two new materials including Enhanced Matrix Removal for Lipid (EMR-L) and Oasis PRiME hydrophilic-lipophilic balance (HLB), and the conventional liquid-liquid extraction with n-hexane (LLE) sample preparation methods were evaluated and compared. Samples were extracted uniformly with acidified acetonitrile and cleaned up by the three sample preparation methods, and then, analytes were further separated by ultrahigh-performance liquid chromatography (UHPLC) and detected by a triple quadrupole mass spectrometry (MS/MS) or a quadrupole-time-of-flight tandem mass spectrometry (Q-TOF/MS). The results showed that the matrix effects from the EMR-L and HLB were significantly lower than that from LLE, suggesting that these two new materials are superior to n-hexane in the precipitation of proteins and the adsorption of lipids. Moreover, the recoveries of 17 SNs were quantified by the matrix-matched calibration curve at spiked level of 5, 10, and 20 μg/kg, and 97.0% of the results satisfied method validation requirements. The samples cleaned up by EMR-L and HLB achieved the highest average recovery in liver and kidney with high moisture content, and muscle which is high in fat, respectively. In addition, Q-TOF/MS could play a good role in aided verification based on the result of repeated validation test. In summary, either combination of approaches could be used to achieve monitoring purposes; it is still worthwhile to adopt a specific sample preparation method and MS detector for the quantification in a specific matrix.
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Affiliation(s)
- Jie Wang
- College of Food Science and EngineeringNanjing University of Finance and EconomicsNanjingChina
| | - Qiuhui Hu
- College of Food Science and EngineeringNanjing University of Finance and EconomicsNanjingChina
| | - Peng Li
- College of Food Science and EngineeringNanjing University of Finance and EconomicsNanjingChina
| | - Yong Fang
- College of Food Science and EngineeringNanjing University of Finance and EconomicsNanjingChina
| | - Wenjian Yang
- College of Food Science and EngineeringNanjing University of Finance and EconomicsNanjingChina
| | - Ning Ma
- College of Food Science and EngineeringNanjing University of Finance and EconomicsNanjingChina
| | - Fei Pei
- College of Food Science and EngineeringNanjing University of Finance and EconomicsNanjingChina
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20
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Pan L, Feng X, Cao M, Zhang S, Huang Y, Xu T, Jing J, Zhang H. Determination and distribution of pesticides and antibiotics in agricultural soils from northern China. RSC Adv 2019; 9:15686-15693. [PMID: 35521405 PMCID: PMC9064340 DOI: 10.1039/c9ra00783k] [Citation(s) in RCA: 36] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2019] [Accepted: 04/29/2019] [Indexed: 11/21/2022] Open
Abstract
Different types of soil samples from a typical farmland in northern China were collected and evaluated for the presence of the pesticides and antibiotics. 47 pesticides were extracted with a quick, easy, cheap, effective, rugged, and safe (QuEChERS) preparation method and cleanup with 50 mg C18, while 10 antibiotics were extracted with methanol/EDTA–McIlvaine buffer solution (v/v = 1/1), then both of them were analyzed with high performance liquid chromatography-tandem mass spectrometer (HPLC-MS/MS). Total concentrations of the 47 pesticides in the soil samples ranged from not detectable (ND) to 3.8 mg kg−1. The soil exhibited relatively high ecological risk for atrazine, chlorpyrifos, tebuconazole, difenoconazole, pymetrozine, and thiamethoxam, as over 1.0% of the sample concentrations exceeded 0.1 mg kg−1. The residual levels of the 10 antibiotics were relatively low (ND-951.0 μg kg−1). Tetracyclines exhibited a high detection rate (20.9%), with 2.8% of the soil samples exhibiting tetracyclines concentrations exceeding 100 μg kg−1, implying high ecological risk. The 4 sulfonamides and 2 macrolides analyzed showed detection rates below 0.8%. Spatial changes in the distribution of pesticides and antibiotics appear to be related to land use patterns, particularly orchards and vegetable plots. The over-standard rate of pesticides and antibiotics in orchards was greater than that of vegetable plots, and grain fields had the lowest over-standard rate. These data were helpful to figure out the pollution of these pesticides and antibiotics, and provided valuable information for soil quality assessment and risk assessment. Different types of soil samples from a typical farmland in northern China were collected and evaluated for the presence of the pesticides and antibiotics.![]()
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Affiliation(s)
- Lixiang Pan
- College of Science
- China Agricultural University
- Beijing
- P. R. China
| | - Xiaoxiao Feng
- College of Science
- China Agricultural University
- Beijing
- P. R. China
| | - Meng Cao
- College of Resources and Environmental Sciences
- China Agricultural University
- Beijing
- P. R. China
| | - Shiwen Zhang
- College of Earth and Environmental Sciences
- Anhui University of Science and Technology
- Huainan
- P. R. China
| | - Yuanfang Huang
- College of Resources and Environmental Sciences
- China Agricultural University
- Beijing
- P. R. China
| | - Tianheng Xu
- College of Science
- China Agricultural University
- Beijing
- P. R. China
| | - Jing Jing
- College of Science
- China Agricultural University
- Beijing
- P. R. China
| | - Hongyan Zhang
- College of Science
- China Agricultural University
- Beijing
- P. R. China
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21
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Jiang R, Qi Y, Gao A, Zhong H. Ion fragmentations via photoelectron activated radical relays and competed hole oxidization on semiconductor nanoparticles for mass spectrometry. Anal Chim Acta 2018; 1044:1-11. [DOI: 10.1016/j.aca.2018.06.033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2018] [Revised: 06/09/2018] [Accepted: 06/12/2018] [Indexed: 11/17/2022]
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22
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Cheng DL, Ngo HH, Guo WS, Chang SW, Nguyen DD, Kumar SM, Du B, Wei Q, Wei D. Problematic effects of antibiotics on anaerobic treatment of swine wastewater. BIORESOURCE TECHNOLOGY 2018; 263:642-653. [PMID: 29759819 DOI: 10.1016/j.biortech.2018.05.010] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/27/2018] [Revised: 05/01/2018] [Accepted: 05/02/2018] [Indexed: 06/08/2023]
Abstract
Swine wastewaters with high levels of organic pollutants and antibiotics have become serious environmental concerns. Anaerobic technology is a feasible option for swine wastewater treatment due to its advantage in low costs and bioenergy production. However, antibiotics in swine wastewater have problematic effects on micro-organisms, and the stability and performance of anaerobic processes. Thus, this paper critically reviews impacts of antibiotics on pH, COD removal efficiencies, biogas and methane productions as well as the accumulation of volatile fatty acids (VFAs) in the anaerobic processes. Meanwhile, impacts on the structure of bacteria and methanogens in anaerobic processes are also discussed comprehensively. Furthermore, to better understand the effect of antibiotics on anaerobic processes, detailed information about antimicrobial mechanisms of antibiotics and microbial functions in anaerobic processes is also summarized. Future research on deeper knowledge of the effect of antibiotics on anaerobic processes are suggested to reduce their adverse environmental impacts.
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Affiliation(s)
- D L Cheng
- Centre for Technology in Water and Wastewater, School of Civil and Environmental Engineering, University of Technology Sydney, Sydney, NWS 2007, Australia
| | - H H Ngo
- Centre for Technology in Water and Wastewater, School of Civil and Environmental Engineering, University of Technology Sydney, Sydney, NWS 2007, Australia.
| | - W S Guo
- Centre for Technology in Water and Wastewater, School of Civil and Environmental Engineering, University of Technology Sydney, Sydney, NWS 2007, Australia
| | - S W Chang
- Department of Environmental Energy & Engineering, Kyonggi University, 442-760, Republic of Korea
| | - D D Nguyen
- Department of Environmental Energy & Engineering, Kyonggi University, 442-760, Republic of Korea
| | - S Mathava Kumar
- Department of Civil Engineering, Indian Institute of Technology Madras, Chennai, Tamilnadu 600036, India
| | - B Du
- School of Resources and Environment, University of Jinan, Jinan 250022, PR China
| | - Q Wei
- Key Laboratory of Chemical Sensing & Analysis in Universities of Shandong, School of Chemistry and Chemical Engineering, University of Jinan, Jinan 250022, PR China
| | - D Wei
- School of Resources and Environment, University of Jinan, Jinan 250022, PR China
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Zhang Y, Xue X, Su S, Guo Z, Wang J, Ding L, Liu Y, Zhu J. A Multi-Class, Multi-Residue Method for Detection of Veterinary Drugs in Multiple Meat Using a Pass-Through Cleanup SPE Technique and UPLC-MS/MS Analysis. FOOD ANAL METHOD 2018. [DOI: 10.1007/s12161-018-1244-8] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
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24
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Barchanska H, Danek M, Sajdak M, Turek M. Review of Sample Preparation Techniques for the Analysis of Selected Classes of Pesticides in Plant Matrices. Crit Rev Anal Chem 2018; 48:467-491. [PMID: 29621408 DOI: 10.1080/10408347.2018.1451297] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
Abstract
The aim of this article is to present the trends in extraction techniques applied for the isolation of pesticides from plant matrix. To fully compare the effectiveness of different extraction techniques, it was required to analyze compounds with possibly wide spectrum of physicochemical properties. Hence, compounds representing neonicotinoids, pyrethroids, sulfonylureas and phenylamides were selected. Based on literature studies, it may be concluded that there are three main approaches to make the analytical procedures for pesticides determination more effective: (i) the optimization of extraction conditions, however, according to ANOVA conducted on the collected literature data, not all parameters influence the extraction process equally; chemometric studies based on literature reports may lead to the conclusion that the most favorable conditions (criterion: analyte recovery, repeatability) for neonicotinoid, pyrethroid and sulfonylurea herbicide extraction from plant tissues are provided by QuEChERS - extraction with acetonitrile, while the mixtures of PSA and GCB (for neonicotinoids), and PSA, GCB, C18 (for pyrethroids) should be used in d-SPE step. For sulfonylurea compounds and metalaxyl it was impossible to identify a sorbent(s) that cleans up the extract more effectively than the others; (ii) to develop a new generation of sorbents; however, the range of their applicability is limited, mainly due to difficulties in their synthesis; (iii) to develop the new extraction techniques with as few "trouble spots" as possible.
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Affiliation(s)
- Hanna Barchanska
- a Department of Inorganic , Analytical Chemistry and Electrochemistry, Faculty of Chemistry, Silesian University of Technology , Gliwice , Poland
| | - Magdalena Danek
- a Department of Inorganic , Analytical Chemistry and Electrochemistry, Faculty of Chemistry, Silesian University of Technology , Gliwice , Poland
| | - Marcin Sajdak
- b Institute for Chemical Processing of Coal , Zabrze , Poland
| | - Marian Turek
- a Department of Inorganic , Analytical Chemistry and Electrochemistry, Faculty of Chemistry, Silesian University of Technology , Gliwice , Poland
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