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Song Y, Meng Y, Chen K, Huang G, Li S, Hu L. Novel electrochemical sensing strategy for ultrasensitive detection of tetracycline based on porphyrin/metal phthalocyanine-covalent organic framework. Bioelectrochemistry 2024; 156:108630. [PMID: 38147788 DOI: 10.1016/j.bioelechem.2023.108630] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Revised: 12/09/2023] [Accepted: 12/16/2023] [Indexed: 12/28/2023]
Abstract
In this work, a novel two-dimensional semiconducting metal covalent organic framework (CuTAPc-TFPP-COF) was synthesized and used as biosensing platform to construct aptasensor for trace detection of tetracycline (TC). The CuTAPc-TFPP-COF integrates the highly conjugated structure, large specific surface area, high porosity, abundant nitrogen functional groups, excellent electrochemical activity, and strong bioaffinity for aptamers, providing abundant active sites to effectively anchor aptamer strands. As a result, the CuTAPc-TFPP-COF-based aptasensor shows high sensitivity for detecting TC via specific recognition between aptamer and TC to form Apt-TC complex. An ultralow detection limit of 59.6 fM is deduced from the electrochemical impedance spectroscopy within a wide linear range of 0.1-100000 pM for TC. The CuTAPc-TFPP-COF-based aptasensor also exhibits good selectivity, reproducibility, stability, regenerability, and excellent applicability for real river water, milk, and pork samples. Therefore, the CuTAPc-TFPP-COF-based aptasensor will be promising for detecting trace harmful antibiotics residues in environmental water and food samples.
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Affiliation(s)
- Yingpan Song
- College of Material and Chemical Engineering, Zhengzhou University of Light Industry, Zhengzhou, 450002, PR China.
| | - Yubo Meng
- School of Mechanical Engineering, Henan University of Engineering, Zhengzhou, 451191, PR China
| | - Kun Chen
- College of Material and Chemical Engineering, Zhengzhou University of Light Industry, Zhengzhou, 450002, PR China
| | - Gailing Huang
- College of Material and Chemical Engineering, Zhengzhou University of Light Industry, Zhengzhou, 450002, PR China
| | - Sizhuan Li
- College of Material and Chemical Engineering, Zhengzhou University of Light Industry, Zhengzhou, 450002, PR China
| | - Lijun Hu
- College of Material and Chemical Engineering, Zhengzhou University of Light Industry, Zhengzhou, 450002, PR China
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2
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Qi Z, Zhang Z, Jin R, Zhang L, Zheng M, Li J, Wu Y, Li C, Lin B, Liu Y, Liu G. Target Analysis of Polychlorinated Naphthalenes and Nontarget Screening of Organic Chemicals in Bovine Milk, Infant Formula, and Adult Milk Powder by High-Resolution Mass Spectrometry. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2024; 72:773-782. [PMID: 38109498 DOI: 10.1021/acs.jafc.3c07579] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/20/2023]
Abstract
Infant formula is intended as an effective substitute for breast milk but is the main source of polychlorinated naphthalenes (PCNs) to nonbreastfed infants. We performed target and nontarget analyses to determine PCNs and identify other organic contaminants in infant formula. The mean PCN concentrations in infant formula, milk powder, and bovine milk were 106.1, 88.8, and 78.2 μg kg-1 of dry weight, respectively. The PCN congener profiles indicated that thermal processes and raw materials were probably the main sources of PCNs in infant formula. A health risk assessment indicated that PCNs in infant formula do not pose health risks to infants. Using gas chromatography-Orbitrap mass spectrometry, 352, 372, and 161 organic chemicals were identified in the infant formula, milk powder, and bovine milk samples, respectively. Phthalate esters were detected in all four plastic-packed milk powder samples. The results indicated milk becomes more contaminated with organic chemicals during manufacturing, processing, and packaging.
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Affiliation(s)
- Ziyuan Qi
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
- School of Environment, Hangzhou Institute for Advanced Study, UCAS, Hangzhou 310024, China
- College of Resource and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Zherui Zhang
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
- School of Environment, Hangzhou Institute for Advanced Study, UCAS, Hangzhou 310024, China
- College of Resource and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Rong Jin
- School of Environment, Hangzhou Institute for Advanced Study, UCAS, Hangzhou 310024, China
| | - Lei Zhang
- China National Center for Food Safety Risk Assessment, Beijing 100021, P. R. China
| | - Minghui Zheng
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
- School of Environment, Hangzhou Institute for Advanced Study, UCAS, Hangzhou 310024, China
- College of Resource and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jingguang Li
- China National Center for Food Safety Risk Assessment, Beijing 100021, P. R. China
| | - Yongning Wu
- China National Center for Food Safety Risk Assessment, Beijing 100021, P. R. China
| | - Cheng Li
- Institute of Quality Standard and Testing Technology, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, P. R. China
| | - Bingcheng Lin
- School of Environment, Hangzhou Institute for Advanced Study, UCAS, Hangzhou 310024, China
| | - Yahui Liu
- School of Environment, Hangzhou Institute for Advanced Study, UCAS, Hangzhou 310024, China
| | - Guorui Liu
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
- School of Environment, Hangzhou Institute for Advanced Study, UCAS, Hangzhou 310024, China
- College of Resource and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
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3
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Li H, Gong W, Lv W, Wang Y, Dong W, Lu A. Target and suspect screening of pesticide residues in soil samples from peach orchards using liquid chromatography quadrupole time-of-flight mass spectrometry. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2023; 253:114664. [PMID: 36807059 DOI: 10.1016/j.ecoenv.2023.114664] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/11/2022] [Revised: 02/07/2023] [Accepted: 02/15/2023] [Indexed: 06/18/2023]
Abstract
Agricultural soil contamination by pesticide residues has become a serious issue of increasing concern due to their high persistence and toxicity to non-target species. However, as the world's largest peach producer, national scale surveys on pesticide residues in peach orchard soils are scarce in China. In this study, a target and suspect screening method covering over 200 pesticides commonly used in peach orchards was developed using ultra-high performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry in MSE. An identification strategy using different data processing parameters was developed to identify the pesticide occurrence in soil. The method was applied to soil samples from typical peach orchards in 12 regions across China. The present work also discusses in detail the frequency of occurrence, concentration of pesticides, spatial distribution of multiresidues, and relationship between pesticide occurrence and soil properties. In the tested soil samples, 21 herbicides (level 1), 31 fungicides (level 2a), 24 insecticides (level 2a), and 3 growth regulators (level 2a) were identified. The total concentrations of quantifiable herbicides in the soil samples ranged from 1.05 to 327 ng/g. Only in 5.4% of the soil samples, no pesticide residues were present. By contrast, more than 86% of the total contained multiple residues. This study represents the first large-scale survey of pesticides in soil from peach orchards and provides comprehensive and accurate information on the pesticide residue status for risk assessment.
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Affiliation(s)
- Haifeng Li
- Beijing Municipal Key Laboratory of Agriculture Environment Monitoring, Institute of Quality Standard and Testing Technology of Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
| | - Wenwen Gong
- Beijing Municipal Key Laboratory of Agriculture Environment Monitoring, Institute of Quality Standard and Testing Technology of Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
| | - Wenxiao Lv
- Beijing Municipal Key Laboratory of Agriculture Environment Monitoring, Institute of Quality Standard and Testing Technology of Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
| | - Youran Wang
- Beijing Municipal Key Laboratory of Agriculture Environment Monitoring, Institute of Quality Standard and Testing Technology of Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
| | - Wentao Dong
- Beijing Municipal Key Laboratory of Agriculture Environment Monitoring, Institute of Quality Standard and Testing Technology of Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
| | - Anxiang Lu
- Beijing Municipal Key Laboratory of Agriculture Environment Monitoring, Institute of Quality Standard and Testing Technology of Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China.
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4
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Jongedijk E, Fifeik M, Arrizabalaga-Larrañaga A, Polzer J, Blokland M, Sterk S. Use of high-resolution mass spectrometry for veterinary drug multi-residue analysis. Food Control 2022. [DOI: 10.1016/j.foodcont.2022.109488] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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5
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Kaviani Rad A, Balasundram SK, Azizi S, Afsharyzad Y, Zarei M, Etesami H, Shamshiri RR. An Overview of Antibiotic Resistance and Abiotic Stresses Affecting Antimicrobial Resistance in Agricultural Soils. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19084666. [PMID: 35457533 PMCID: PMC9025980 DOI: 10.3390/ijerph19084666] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/29/2021] [Revised: 01/22/2022] [Accepted: 01/25/2022] [Indexed: 01/29/2023]
Abstract
Excessive use of antibiotics in the healthcare sector and livestock farming has amplified antimicrobial resistance (AMR) as a major environmental threat in recent years. Abiotic stresses, including soil salinity and water pollutants, can affect AMR in soils, which in turn reduces the yield and quality of agricultural products. The objective of this study was to investigate the effects of antibiotic resistance and abiotic stresses on antimicrobial resistance in agricultural soils. A systematic review of the peer-reviewed published literature showed that soil contaminants derived from organic and chemical fertilizers, heavy metals, hydrocarbons, and untreated sewage sludge can significantly develop AMR through increasing the abundance of antibiotic resistance genes (ARGs) and antibiotic-resistant bacteria (ARBs) in agricultural soils. Among effective technologies developed to minimize AMR’s negative effects, salinity and heat were found to be more influential in lowering ARGs and subsequently AMR. Several strategies to mitigate AMR in agricultural soils and future directions for research on AMR have been discussed, including integrated control of antibiotic usage and primary sources of ARGs. Knowledge of the factors affecting AMR has the potential to develop effective policies and technologies to minimize its adverse impacts.
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Affiliation(s)
- Abdullah Kaviani Rad
- Department of Soil Science, School of Agriculture, Shiraz University, Shiraz 71946-85111, Iran;
| | - Siva K. Balasundram
- Department of Agriculture Technology, Faculty of Agriculture, University Putra Malaysia, Serdang 43400, Selangor, Malaysia
- Correspondence: (S.K.B.); (M.Z.)
| | - Shohreh Azizi
- UNESCO-UNISA Africa Chair in Nanosciences and Nanotechnology, College of Graduate Studies, University of South Africa, Pretoria 0003, South Africa;
- Nanosciences African Network (NANOAFNET), iThemba LABS-National Research Foundation, Cape Town 7129, South Africa
| | - Yeganeh Afsharyzad
- Department of Microbiology, Faculty of Modern Sciences, The Islamic Azad University of Tehran Medical Sciences, Tehran 19496-35881, Iran;
| | - Mehdi Zarei
- Department of Soil Science, School of Agriculture, Shiraz University, Shiraz 71946-85111, Iran;
- Department of Agriculture and Natural Resources, Higher Education Center of Eghlid, Eghlid 73819-43885, Iran
- Correspondence: (S.K.B.); (M.Z.)
| | - Hassan Etesami
- Department of Soil Science, University of Tehran, Tehran 14179-35840, Iran;
| | - Redmond R. Shamshiri
- Leibniz Institute for Agricultural Engineering and Bioeconomy, 14469 Potsdam-Bornim, Germany;
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6
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Jansen LJM, Nijssen R, Bolck YJC, Wegh RS, van de Schans MGM, Berendsen BJA. Systematic assessment of acquisition and data-processing parameters in the suspect screening of veterinary drugs in archive matrices using LC-HRMS. Food Addit Contam Part A Chem Anal Control Expo Risk Assess 2021; 39:272-284. [PMID: 34854800 DOI: 10.1080/19440049.2021.1999507] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
Monitoring strategies for veterinary drugs in products of animal origin are shifting towards a more risk-based approach. Such strategies not only target a limited number of predefined .substances but also facilitate detection of unexpected substances. By combining the use of archive matrices such as feather meal with suspect-screening methods, early detection of new hazards in the food and feed industry can be achieved. Effective application of such strategies is hampered by complex data interpretation and therefore, targeted data analysis is commonly applied. In this study, the performance of a suspect-screening data processing workflow using a suspect list or the online spectral database mzCloudTM was explored to facilitate detection of veterinary drugs in archive matrices. Data evaluation parameters specifically investigated for application of a suspect list were mass tolerance and the addition or omission of retention times. Application of a mass tolerance of 1.5 ppm leads to an increase in the number of false positives, as does omission of retention times in the suspect list. Different acquisition modes yielding different qualities of MS2 data were studied and proved to be a critical factor, where data-dependent acquisition is preferred when matching to the mzCloudTM database. Using this approach, it is possible to search for compounds on a dedicated suspect list based on the exact mass and retention times and, at the same time, detect unexpected compounds without a priori information. A pilot study was conducted and fourteen different antibiotics were detected (and confirmed by MS/MS). Three of these antibiotics were not included in the suspect list. The optimised suspect-screening method proved to be fit for the purpose of finding veterinary drugs in feather meal, which are not in the scope of the current monitoring methods and therefore, it gives added value in the perspective of a risk-based monitoring.
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Affiliation(s)
- Larissa J M Jansen
- Authenticity & Veterinary Drugs, Wageningen Food Safety Research, Wageningen, The Netherlands
| | - Rosalie Nijssen
- Contaminants & Toxicology, Wageningen Food Safety Research, Wageningen, The Netherlands
| | - Yvette J C Bolck
- Authenticity & Veterinary Drugs, Wageningen Food Safety Research, Wageningen, The Netherlands
| | - Robin S Wegh
- Authenticity & Veterinary Drugs, Wageningen Food Safety Research, Wageningen, The Netherlands
| | - Milou G M van de Schans
- Authenticity & Veterinary Drugs, Wageningen Food Safety Research, Wageningen, The Netherlands
| | - Bjorn J A Berendsen
- Authenticity & Veterinary Drugs, Wageningen Food Safety Research, Wageningen, The Netherlands
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7
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Hu LX, Olaitan OJ, Li Z, Yang YY, Chimezie A, Adepoju-Bello AA, Ying GG, Chen CE. What is in Nigerian waters? Target and non-target screening analysis for organic chemicals. CHEMOSPHERE 2021; 284:131546. [PMID: 34323804 DOI: 10.1016/j.chemosphere.2021.131546] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Revised: 07/05/2021] [Accepted: 07/10/2021] [Indexed: 06/13/2023]
Abstract
Emerging organic contaminants (e.g., active pharmaceutical ingredients and personal care products ingredients) are ubiquitous in the environment and potentially harmful to ecosystems, have gained increasing public attention worldwide. Nevertheless, there is a scarcity of data on these contaminants in Africa. In this study, various types of water samples (wastewater, surface water and tap water) collected from Lagos, Nigeria were analyzed for these chemicals by both target and non-target analysis on an UHPLC-Orbitrap-MS/MS. In total, 109 compounds were identified by non-target screening using the online database mzCloud. Level 1 identification confidence was achieved for 13 compounds for which reference standards were available and level 2 was achieved for the rest. In the quantitative analysis, 18 of 38 target compounds were detected, including the parent compounds and their metabolites. Acetaminophen, sulfamethoxazole, acesulfame, and caffeine were detected in all samples with their highest concentrations at 8000, 5300, 16, and 7700 μg/L in wastewater, 140000, 3300, 7.7, and 12000 μg/L in surface water, and 66, 62, 0.17 and 1000 μg/L in tap water, respectively. The occurrence of psychoactive substances, anticancer treatments, antiretrovirals, antihypertensives, antidiabetics and their metabolites were reported in Nigeria for the first time. These results indicate poor wastewater treatment and management in Nigeria, and provide a preliminary profile of organic contaminants occurring in Nigerian waters. The findings from this study urge more future research on chemical pollution in the aquatic environments in Nigeria.
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Affiliation(s)
- Li-Xin Hu
- Environmental Research Institute / School of Environment, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou, 510006, China
| | - Olatunde James Olaitan
- Department of Pharmaceutical Chemistry, Faculty of Pharmacy, Olabisi Onabanjo University, Ago Iwoye, Ogun State, Nigeria
| | - Zhe Li
- Department of Environmental Science, Stockholm University, 10691, Stockholm, Sweden
| | - Yuan-Yuan Yang
- Environmental Research Institute / School of Environment, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou, 510006, China
| | - Anyakora Chimezie
- School of Science and Technology, Pan Atlantic University, Lagos, Nigeria
| | | | - Guang-Guo Ying
- Environmental Research Institute / School of Environment, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou, 510006, China
| | - Chang-Er Chen
- Environmental Research Institute / School of Environment, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, South China Normal University, Guangzhou, 510006, China; Department of Environmental Science, Stockholm University, 10691, Stockholm, Sweden.
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8
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Holton E, Kasprzyk-Hordern B. Multiresidue antibiotic-metabolite quantification method using ultra-performance liquid chromatography coupled with tandem mass spectrometry for environmental and public exposure estimation. Anal Bioanal Chem 2021; 413:5901-5920. [PMID: 34498102 PMCID: PMC8425450 DOI: 10.1007/s00216-021-03573-4] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2021] [Revised: 06/24/2021] [Accepted: 07/21/2021] [Indexed: 11/28/2022]
Abstract
This manuscript describes a new multiresidue method utilising ultra-performance liquid chromatography tandem mass spectrometry (UPLC-MS/MS) via multiple reaction monitoring (MRM), for the identification and quantification of 58 antibiotics and their 26 metabolites, in various solid and liquid environmental matrices. The method was designed with a ‘one health’ approach in mind requiring multidisciplinary and multisectoral collaborative efforts. It enables comprehensive evaluation of antibiotic usage in surveyed communities via wastewater-based epidemiology, as well as allowing for the assessment of potential environmental impacts. The instrumental performance was very good, demonstrating linearity up to 3000 μg L−1, and high accuracy and precision. The method accuracy in several compounds was significantly improved by dividing calibration curves into separate ranges. This was accompanied by applying a weighting factor (1/x). Microwave-assisted and/or solid-phase extraction of analytes from liquid and solid matrices provided good recoveries for most compounds, with only a few analytes underperforming. Method quantification limits were determined as low as 0.017 ng L−1 in river water, 0.044 ng L−1 in wastewater, 0.008 ng g−1 in river sediment, and 0.009 ng g−1 in suspended solids. Overall, the method was successfully validated for the quantification of 64 analytes extracted from aqueous samples, and 45 from solids. The analytes that underperformed are considered on a semi-quantitative basis, including aminoglycosides and carbapenems. The method was applied to both solid and liquid environmental matrices, whereby several antibiotics and their metabolites were quantified. The most notable antibiotic-metabolite pairs are three sulfonamides and their N-acetyl metabolites; four macrolides/lincomycins and their N-desmethyl metabolites; and five quinolone metabolites.
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9
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Solliec M, Roy-Lachapelle A, Storck V, Callender K, Greer CW, Barbeau B. A data-independent acquisition approach based on HRMS to explore the biodegradation process of organic micropollutants involved in a biological ion-exchange drinking water filter. CHEMOSPHERE 2021; 277:130216. [PMID: 33780680 DOI: 10.1016/j.chemosphere.2021.130216] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/11/2020] [Revised: 03/01/2021] [Accepted: 03/05/2021] [Indexed: 06/12/2023]
Abstract
Drinking water producers continuously develop innovative treatment processes to effectively remove organic micropollutants from raw water. Biological ion-exchange (BIEX) water treatment is one of these new techniques under development and showing great potential. In order to investigate if biodegradation is highly involved in such a removal technique, cultures were prepared with microorganisms sampled on the resins of a BIEX filter. Then, organic micropollutants were spiked into these cultures and their (bio)degradation was followed over 30 days by ultra-high performance liquid chromatography coupled to high-resolution mass spectrometry (UHPLC-HRMS). The purpose of this study was firstly to develop an analytical method using UHPLC-HRMS able to monitor the degradation of three spiked organic micropollutants in culture. Beyond quantification, this method allowed the simultaneous recording of fragmentation information via the use of a data-independent acquisition approach to perform a non-exhaustive search of transformation products related to the spiked micropollutants in culture aliquots. Secondly, a data treatment approach was developed to process raw spectral data generated by aliquots analysis by optimizing the precursor isolation mass windows, the accurate mass tolerance, peak intensity thresholds and choice of database. The use of this new method with a post-data acquisition treatment approach completed by the exhaustive study of fragmentation spectra allowed the tentative identification of 11 transformation products related to the spiked compounds. Finally, 16S rRNA gene amplicon sequencing revealed that bacterial genera known for their ability to degrade the spiked micropollutants were present in the microbial community of the BIEX drinking water filter.
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Affiliation(s)
- Morgan Solliec
- NSERC Industrial Chair on Drinking Water, Department of Civil Engineering, Polytechnique School of Montreal, Montreal, QC, Canada.
| | - Audrey Roy-Lachapelle
- Environment and Climate Change Canada, Aquatic Contaminants Research Division, Montreal, QC, Canada
| | - Veronika Storck
- NSERC Industrial Chair on Drinking Water, Department of Civil Engineering, Polytechnique School of Montreal, Montreal, QC, Canada
| | - Katrina Callender
- National Research Council Canada, Energy, Mining and Environment Research Centre, Montreal, QC, Canada
| | - Charles W Greer
- National Research Council Canada, Energy, Mining and Environment Research Centre, Montreal, QC, Canada
| | - Benoit Barbeau
- NSERC Industrial Chair on Drinking Water, Department of Civil Engineering, Polytechnique School of Montreal, Montreal, QC, Canada
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Abstract
The development of suspect or non-target screening methods to detect xenobiotics in biological fluids is essential to properly understand the exposome and assess its adverse health effects on humans. In order to fulfil that aim, the biomonitorization of human fluids is compulsory. However, these methods are not yet extensively developed, especially for polar organic xenobiotics in biofluids such as milk, as most works are only focused on certain analytes of interest. In this work, a multi-target analysis method to determine 245 diverse xenobiotics in milk by means of Ultra High Performance Liquid Chromatography (UHPLC)-qOrbitrap was developed. Under optimal conditions, liquid milk samples were extracted with acetonitrile in the presence of anhydrous Na2SO4 and NaCl, and the extracts were cleaned-up by protein precipitation at low temperature and Captiva Non-Drip (ND)—Lipids filters. The optimized method was validated at two concentration-levels (10 ng/g and 40 ng/g) obtaining satisfactory figures of merit for more than 200 compounds. The validated multi-target method was applied to several milk samples, including commercial and breast milk, provided by 4 healthy volunteers. Moreover, the method was extended to perform suspect analysis of more than 17,000 xenobiotics. All in all, several diverse xenobiotics were detected, highlighting food additives (benzothiazole) or phytoestrogens (genistein and genistin) in commercial milk samples, and stimulants (caffeine), plasticizers (phthalates), UV filters (benzophenone), or pharmaceuticals (orlistat) in breast milk samples.
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11
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Ivanova B, Spiteller M. Stochastic dynamic mass spectrometric quantification of steroids in mixture - Part II. Steroids 2020; 164:108750. [PMID: 33069721 DOI: 10.1016/j.steroids.2020.108750] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/04/2020] [Accepted: 10/04/2020] [Indexed: 01/25/2023]
Abstract
This paper deals with quantification of the following steroids in mixture: hydrocortisone (1), deoxycorticosterone (2), progesterone (3) and methyltestosterone (4) by means of mass spectrometry and implementing our innovative stochatic dynamic functional relationship between the analyte concentration in solution and the experimental variable intensity. The mass spectrometric data are correlated independently using chromatography. Chemometric analysis is carried out.
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Affiliation(s)
- Bojidarka Ivanova
- Lehrstuhl für Analytische Chemie, Institut für Umweltforschung, Fakultät für Chemie und Chemische Biologie, Universität Dortmund, Otto-Hahn-Straße 6, 44221 Dortmund, Nordrhein-Westfalen, Germany.
| | - Michael Spiteller
- Lehrstuhl für Analytische Chemie, Institut für Umweltforschung, Fakultät für Chemie und Chemische Biologie, Universität Dortmund, Otto-Hahn-Straße 6, 44221 Dortmund, Nordrhein-Westfalen, Germany
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12
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Guo Z, Huang S, Wang J, Feng YL. Recent advances in non-targeted screening analysis using liquid chromatography - high resolution mass spectrometry to explore new biomarkers for human exposure. Talanta 2020; 219:121339. [DOI: 10.1016/j.talanta.2020.121339] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2020] [Revised: 05/16/2020] [Accepted: 06/09/2020] [Indexed: 12/29/2022]
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13
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Guo Z, Zhu Z, Huang S, Wang J. Non-targeted screening of pesticides for food analysis using liquid chromatography high-resolution mass spectrometry-a review. Food Addit Contam Part A Chem Anal Control Expo Risk Assess 2020; 37:1180-1201. [DOI: 10.1080/19440049.2020.1753890] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Affiliation(s)
- Zeqin Guo
- College of Bioengineering, Chongqing University, Chongqing, P. R. China
| | - Zhiguo Zhu
- College of Pharmacy and Life Science, Jiujiang University, Jiujiang, P.R. China
| | - Sheng Huang
- College of Bioengineering, Chongqing University, Chongqing, P. R. China
| | - Jianhua Wang
- College of Bioengineering, Chongqing University, Chongqing, P. R. China
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14
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Hohrenk LL, Itzel F, Baetz N, Tuerk J, Vosough M, Schmidt TC. Comparison of Software Tools for Liquid Chromatography–High-Resolution Mass Spectrometry Data Processing in Nontarget Screening of Environmental Samples. Anal Chem 2019; 92:1898-1907. [DOI: 10.1021/acs.analchem.9b04095] [Citation(s) in RCA: 46] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Affiliation(s)
- Lotta L. Hohrenk
- Instrumental Analytical Chemistry, University of Duisburg-Essen, Universitätsstrasse 5, D-45141 Essen, Germany
- Centre for Water and Environmental Research, University of Duisburg-Essen, Universitätsstrasse 2, 45141 Essen, Germany
| | - Fabian Itzel
- Institut für Energie- und Umwelttechnik e. V., Bliersheimer Strasse 58-60, 47229 Duisburg, Germany
- Centre for Water and Environmental Research, University of Duisburg-Essen, Universitätsstrasse 2, 45141 Essen, Germany
| | - Nicolai Baetz
- Instrumental Analytical Chemistry, University of Duisburg-Essen, Universitätsstrasse 5, D-45141 Essen, Germany
- Institut für Energie- und Umwelttechnik e. V., Bliersheimer Strasse 58-60, 47229 Duisburg, Germany
| | - Jochen Tuerk
- Institut für Energie- und Umwelttechnik e. V., Bliersheimer Strasse 58-60, 47229 Duisburg, Germany
- Centre for Water and Environmental Research, University of Duisburg-Essen, Universitätsstrasse 2, 45141 Essen, Germany
| | - Maryam Vosough
- Department of Clean Technologies, Chemistry and Chemical Engineering, Research Center of Iran, P.O. Box 14335-186, Tehran 1496813151, Iran
| | - Torsten C. Schmidt
- Instrumental Analytical Chemistry, University of Duisburg-Essen, Universitätsstrasse 5, D-45141 Essen, Germany
- Centre for Water and Environmental Research, University of Duisburg-Essen, Universitätsstrasse 2, 45141 Essen, Germany
- IWW Water Center, Moritzstrasse 26, 45476 Mülheim an der Ruhr, Germany
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15
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Gumbi BP, Moodley B, Birungi G, Ndungu PG. Target, Suspect and Non-Target Screening of Silylated Derivatives of Polar Compounds Based on Single Ion Monitoring GC-MS. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2019; 16:ijerph16204022. [PMID: 31640145 PMCID: PMC6843951 DOI: 10.3390/ijerph16204022] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/26/2019] [Revised: 08/30/2019] [Accepted: 09/11/2019] [Indexed: 11/21/2022]
Abstract
There is growing interest in determining the unidentified peaks within a sample spectra besides the analytes of interest. Availability of reference standards and hyphenated instruments has been a key and limiting factor in the rapid determination of emerging pollutants in the environment. In this work, polar compounds were silylated and analyzed with gas chromatography mass spectrometry (GC-MS) to determine the abundant fragments within the single ion monitoring (SIM) mode and methodology. Detection limits and recoveries of the compounds were established in river water, wastewater, biosolid and sediment matrices. Then, specific types of polar compounds that are classified as emerging contaminants, pharmaceuticals and personal care products, in the environment were targeted in the Mgeni and Msunduzi Rivers. We also performed suspect and non-target analysis screening to identify several other polar compounds in these rivers. A total of 12 compounds were quantified out of approximately 50 detected emerging contaminants in the Mgeni and Msunduzi Rivers. This study is significant for Africa, where the studies of emerging contaminants are limited and not usually prioritized.
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Affiliation(s)
- Bhekumuzi Prince Gumbi
- School of Chemistry and Physics, University of KwaZulu-Natal, Durban 4000, South Africa.
| | - Brenda Moodley
- School of Chemistry and Physics, University of KwaZulu-Natal, Durban 4000, South Africa.
| | - Grace Birungi
- Department of Chemistry, Mbarara University of Science and Technology, Mbarara 1410, Uganda.
| | - Patrick Gathura Ndungu
- Department of Chemical Sciences, University of Johannesburg, Johannesburg 2028, South Africa.
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16
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Bamberger M, Nell M, Ahmed AH, Santoro R, Ingraffea AR, Kennedy RF, Nagel SC, Helbling DE, Oswald RE. Surface water and groundwater analysis using aryl hydrocarbon and endocrine receptor biological assays and liquid chromatography-high resolution mass spectrometry in Susquehanna County, PA. ENVIRONMENTAL SCIENCE. PROCESSES & IMPACTS 2019; 21:988-998. [PMID: 31093631 PMCID: PMC6800239 DOI: 10.1039/c9em00112c] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
The contamination of surface water and ground water by human activities, such as fossil fuel extraction and agriculture, can be difficult to assess due to incomplete knowledge of the chemicals and chemistry involved. This is particularly true for the potential contamination of drinking water by nearby extraction of oil and/or gas from wells completed by hydraulic fracturing. A case that has attracted considerable attention is unconventional natural gas extraction in Susquehanna County, Pennsylvania, particularly around Dimock, Pennsylvania. We analyzed surface water and groundwater samples collected throughout Susquehanna County with complementary biological assays and high-resolution mass spectrometry. We found that Ah receptor activity was associated with proximity to impaired gas wells. We also identified certain chemicals, including disclosed hydraulic fracturing fluid additives, in samples that were either in close proximity to impaired gas wells or that exhibited a biological effect. In addition to correlations with drilling activity, the biological assays and high-resolution mass spectrometry detected substances that arose from other anthropogenic sources. Our complementary approach provides a more comprehensive picture of water quality by considering both biological effects and a broad screening for chemical contaminants.
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17
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Han B, Min H, Jeon M, Kang B, Son J. A rapid non‐target screening method for determining prohibited substances in human urine using liquid chromatography/high‐resolution tandem mass spectrometry. Drug Test Anal 2018; 11:382-391. [DOI: 10.1002/dta.2495] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2018] [Revised: 08/27/2018] [Accepted: 09/01/2018] [Indexed: 12/23/2022]
Affiliation(s)
- Boyoung Han
- Doping Control CenterKorea Institute of Science and Technology Seoul South Korea
| | - Hophil Min
- Doping Control CenterKorea Institute of Science and Technology Seoul South Korea
| | - Mijin Jeon
- Doping Control CenterKorea Institute of Science and Technology Seoul South Korea
| | - Byeori Kang
- Doping Control CenterKorea Institute of Science and Technology Seoul South Korea
| | - Junghyun Son
- Doping Control CenterKorea Institute of Science and Technology Seoul South Korea
- Department of Biological ChemistryKorea University of Science and Technology (UST) Daejeon Republic of Korea
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18
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Colby JM, Thoren KL, Lynch KL. Suspect Screening Using LC-QqTOF Is a Useful Tool for Detecting Drugs in Biological Samples. J Anal Toxicol 2018; 42:207-213. [PMID: 29309651 DOI: 10.1093/jat/bkx107] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2017] [Accepted: 12/06/2017] [Indexed: 11/12/2022] Open
Abstract
High-resolution mass spectrometers (HRMS), including quadrupole time of flight mass analyzers (QqTOF), are becoming more prevalent as screening tools in clinical and forensic toxicology laboratories. Among other advantages, HRMS instruments can collect untargeted, full-scan mass spectra. These datasets can be analyzed retrospectively using a combination of techniques, which can extend the drug detection capabilities. Most laboratories using HRMS in production settings perform untargeted data collection, but analyze data in a targeted manner. To perform targeted analysis, a laboratory must first analyze a reference standard to determine the expected characteristics of a given compound. In an alternate technique known as suspect screening, compounds can be tentatively identified without the use of reference standards. Instead, predicted and/or intrinsic characteristics of a compound, such as the accurate mass, isotope pattern, and product ion spectrum are used to determine its presence in a sample. The fact that reference standards are not required a priori makes this data analysis approach very attractive, especially for the ever-changing landscape of novel psychoactive substances. In this work, we compared the performance of four data analysis workflows (targeted and three suspect screens) for a panel of 170 drugs and metabolites, detected by LC-QqTOF. We found that retention time was not required for drug identification; the suspect screen using accurate mass, isotope pattern, and product ion library matching was able to identify more than 80% of the drugs that were present in human urine samples. We showed that the inclusion of product ion spectral matching produced the largest decrease in false discovery and false negative rates, as compared to suspect screening using mass alone or using just mass and isotope pattern. Our results demonstrate the promise that suspect screening holds for building large, economical drug screens, which may be a key tool to monitor the use of emerging drugs of abuse, including novel psychoactive substances.
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Affiliation(s)
- Jennifer M Colby
- Department of Pathology, Microbiology, and Immunology, Vanderbilt University, 1301 Medical Center Drive, Nashville, TN 37232, USA
| | - Katie L Thoren
- Department of Laboratory Medicine, University of California San Francisco, 1001 Potrero Avenue NH 2M16, San Francisco, CA 94110, USA
| | - Kara L Lynch
- Department of Laboratory Medicine, University of California San Francisco, 1001 Potrero Avenue NH 2M16, San Francisco, CA 94110, USA
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19
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An automated on-line turbulent flow liquid-chromatography technology coupled to a high resolution mass spectrometer LTQ-Orbitrap for suspect screening of antibiotic transformation products during microalgae wastewater treatment. J Chromatogr A 2018; 1568:57-68. [DOI: 10.1016/j.chroma.2018.06.027] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2018] [Revised: 06/07/2018] [Accepted: 06/10/2018] [Indexed: 12/26/2022]
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20
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Fu Y, Zhang Y, Zhou Z, Lu X, Lin X, Zhao C, Xu G. Screening and Determination of Potential Risk Substances Based on Liquid Chromatography–High-Resolution Mass Spectrometry. Anal Chem 2018; 90:8454-8461. [DOI: 10.1021/acs.analchem.8b01153] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Affiliation(s)
- Yanqing Fu
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yanhui Zhang
- School of Computer Science & Technology, Dalian University of Technology, Dalian 116023, China
| | - Zhihui Zhou
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xin Lu
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xiaohui Lin
- School of Computer Science & Technology, Dalian University of Technology, Dalian 116023, China
| | - Chunxia Zhao
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Guowang Xu
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China
- University of Chinese Academy of Sciences, Beijing 100049, China
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21
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Bottoni P, Caroli S. Presence of residues and metabolites of pharmaceuticals in environmental compartments, food commodities and workplaces: A review spanning the three-year period 2014–2016. Microchem J 2018. [DOI: 10.1016/j.microc.2017.06.016] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
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22
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Fu Y, Zhao C, Lu X, Xu G. Nontargeted screening of chemical contaminants and illegal additives in food based on liquid chromatography–high resolution mass spectrometry. Trends Analyt Chem 2017. [DOI: 10.1016/j.trac.2017.07.014] [Citation(s) in RCA: 36] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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23
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Mol HG, Tienstra M, Zomer P. Evaluation of gas chromatography – electron ionization – full scan high resolution Orbitrap mass spectrometry for pesticide residue analysis. Anal Chim Acta 2016; 935:161-72. [DOI: 10.1016/j.aca.2016.06.017] [Citation(s) in RCA: 73] [Impact Index Per Article: 9.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2016] [Revised: 06/09/2016] [Accepted: 06/12/2016] [Indexed: 11/28/2022]
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24
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Fu Y, Zhou Z, Kong H, Lu X, Zhao X, Chen Y, Chen J, Wu Z, Xu Z, Zhao C, Xu G. Nontargeted Screening Method for Illegal Additives Based on Ultrahigh-Performance Liquid Chromatography-High-Resolution Mass Spectrometry. Anal Chem 2016; 88:8870-7. [PMID: 27480407 DOI: 10.1021/acs.analchem.6b02482] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
Abstract
Identification of illegal additives in complex matrixes is important in the food safety field. In this study a nontargeted screening strategy was developed to find illegal additives based on ultrahigh-performance liquid chromatography-high-resolution mass spectrometry (UHPLC-HRMS). First, an analytical method for possible illegal additives in complex matrixes was established including fast sample pretreatment, accurate UHPLC separation, and HRMS detection. Second, efficient data processing and differential analysis workflow were suggested and applied to find potential risk compounds. Third, structure elucidation of risk compounds was performed by (1) searching online databases [Metlin and the Human Metabolome Database (HMDB)] and an in-house database which was established at the above-defined conditions of UHPLC-HRMS analysis and contains information on retention time, mass spectra (MS), and tandem mass spectra (MS/MS) of 475 illegal additives, (2) analyzing fragment ions, and (3) referring to fragmentation rules. Fish was taken as an example to show the usefulness of the nontargeted screening strategy, and six additives were found in suspected fish samples. Quantitative analysis was further carried out to determine the contents of these compounds. The satisfactory application of this strategy in fish samples means that it can also be used in the screening of illegal additives in other kinds of food samples.
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Affiliation(s)
- Yanqing Fu
- Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Science , Dalian 116023, China.,University of Chinese Academy of Sciences , Beijing 100049, China
| | - Zhihui Zhou
- Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Science , Dalian 116023, China.,University of Chinese Academy of Sciences , Beijing 100049, China
| | - Hongwei Kong
- Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Science , Dalian 116023, China.,University of Chinese Academy of Sciences , Beijing 100049, China
| | - Xin Lu
- Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Science , Dalian 116023, China.,University of Chinese Academy of Sciences , Beijing 100049, China
| | - Xinjie Zhao
- Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Science , Dalian 116023, China.,University of Chinese Academy of Sciences , Beijing 100049, China
| | - Yihui Chen
- Xiangshan Entry-Exit Inspection and Quarantine Bureau, Ningbo 315000, China
| | - Jia Chen
- Hangzhou Pooke Testing Technology Company, Limited, Hangzhou 310000, China
| | - Zeming Wu
- Thermo Fisher Scientific, China, Application Center, Shanghai 210623, China
| | - Zhiliang Xu
- Hangzhou Pooke Testing Technology Company, Limited, Hangzhou 310000, China
| | - Chunxia Zhao
- Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Science , Dalian 116023, China.,University of Chinese Academy of Sciences , Beijing 100049, China
| | - Guowang Xu
- Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Science , Dalian 116023, China.,University of Chinese Academy of Sciences , Beijing 100049, China
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25
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Suspect Screening of Pharmaceuticals and Related Bioactive Compounds, Their Metabolites and Their Transformation Products in the Aquatic Environment, Biota and Humans Using LC-HR-MS Techniques. APPLICATIONS OF TIME-OF-FLIGHT AND ORBITRAP MASS SPECTROMETRY IN ENVIRONMENTAL, FOOD, DOPING, AND FORENSIC ANALYSIS 2016. [DOI: 10.1016/bs.coac.2016.02.011] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
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