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Price EJ, Palát J, Coufaliková K, Kukučka P, Codling G, Vitale CM, Koudelka Š, Klánová J. Open, High-Resolution EI+ Spectral Library of Anthropogenic Compounds. Front Public Health 2021; 9:622558. [PMID: 33768085 PMCID: PMC7985345 DOI: 10.3389/fpubh.2021.622558] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2020] [Accepted: 02/08/2021] [Indexed: 01/21/2023] Open
Abstract
To address the lack of high-resolution electron ionisation mass spectral libraries (HR-[EI+]-MS) for environmental chemicals, a retention-indexed HR-[EI+]-MS library has been constructed following analysis of authentic compounds via GC-Orbitrap MS. The library is freely provided alongside a compound database of predicted physicochemical properties. Currently, the library contains over 350 compounds from 56 compound classes and includes a range of legacy and emerging contaminants. The RECETOX Exposome HR-[EI+]-MS library expands the number of freely available resources for use in full-scan chemical exposure studies and is available at: https://doi.org/10.5281/zenodo.4471217.
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Affiliation(s)
- Elliott J Price
- Faculty of Sports Studies, Masaryk University, Brno, Czechia.,RECETOX Centre, Masaryk University, Brno, Czechia
| | - Jirí Palát
- RECETOX Centre, Masaryk University, Brno, Czechia
| | | | - Petr Kukučka
- RECETOX Centre, Masaryk University, Brno, Czechia
| | | | | | | | - Jana Klánová
- RECETOX Centre, Masaryk University, Brno, Czechia
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Hayward DG, Traag W. New approach for removing co-extracted lipids before mass spectrometry measurement of persistent of organic pollutants (POPs) in foods. CHEMOSPHERE 2020; 256:127023. [PMID: 32428742 DOI: 10.1016/j.chemosphere.2020.127023] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/13/2020] [Revised: 05/06/2020] [Accepted: 05/07/2020] [Indexed: 06/11/2023]
Abstract
Persistent organic pollutants (POPs) methods for foods and animal feeds require sufficient sample intake followed by an extensive removal of interfering matrix components and concentration before a gas chromatographic mass spectrometry (GC-MS) method can be applied. The extraction dissolves associated lipids in animal foods or feeds. Methods must eliminate all co-extracted lipids before determination by GC-MS. A new approach for removing lipids is presented using basic silica gel or metal ion immobilized silica gel (Ag+) in a single step. Absorbent order, adsorbent amounts, and flow rates were found to be essential for consistent results. KOH/silica gel or Ag+ ion (AgNO3) silica gel were both shown to retain 75-85% of the co-extracted lipids without using sulfuric acid. KOH/silica gel method applied to butter fortified at 7.3 pg TEQ/g lipid with polychlorinated dibenzo-p-dioxins/dibenzofurans (PCDD/Fs) produced accurate results for all fortified congeners with 20% of predicted (n = 6). Ag+ silica gel incorporated into the Miura GO-EHT automated system produced similar results fortified at 3 pg TEQ/g lipid. During PCDD/F fortifications of butter with PCDD/Fs (n = 6), labeled standard recoveries for PCDD/Fs and planar polychlorinated biphenyls (PCBs) were all acceptable (52-99%) averaging 77% using the Miura system. A reduction in the amounts of sulfuric acid silica gel needed was possible in the completion of co-extractant removal. PCDD/F spikes into butter and for a spiked sunflower oil (PCDD/Fs and coplanar PCBs) were within ± 20% of the predicted using the Miura system; suitable for current methods criteria for foods including criteria in EU legislation.
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Affiliation(s)
- Douglas G Hayward
- U.S. Food and Drug Administration, 5001 Campus Dr, College Park, MD, 20740, USA.
| | - Willem Traag
- DSP Systems, Food Valley BTA 12, Darwinstraat 7a, 6718 XR, Ede, the Netherlands
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Turnipseed SB, Jayasuriya H. Analytical methods for mixed organic chemical residues and contaminants in food. Anal Bioanal Chem 2020; 412:5969-5980. [PMID: 32350581 PMCID: PMC10984255 DOI: 10.1007/s00216-020-02668-8] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2020] [Revised: 04/06/2020] [Accepted: 04/17/2020] [Indexed: 02/06/2023]
Abstract
Developing methods that can analyze multiple categories of organic chemical residues such as pesticides, veterinary drugs, mycotoxins, human drugs, and environmental contaminants in food with a single analytical procedure is a growing trend. These methods for mixed organic chemical residues and contaminants focus on the chemical properties of these analytes rather than how they are used and adulterate the food supply. This paper highlights recently published methods for mixed residue and contaminant methods in food including advances in technology (instrumental hardware, data processing programs, and sample cleanup) that allow for a larger number of compounds to be monitored simultaneously. The factors that determine the scope, or number and type of analytes in a given method, including needs for specific food commodities, complexity of the analytical procedure, and the intended purpose (qualitative vs quantitative analysis) will be examined. Although there are clear advantages to expanding the number of unwanted chemicals being monitored in the global food supply, challenges to developing and implementing mixed organic residue and contaminant methods will also be discussed. Going forward, it will be important to implement these methods to more thoroughly protect the food supply for a wide variety of targeted and non-targeted chemical residues and contaminants while also having the regulatory framework in place to effectively manage the results of these comprehensive analyses. Graphical abstract.
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Affiliation(s)
- Sherri B Turnipseed
- Animal Drugs Research Center, US Food and Drug Administration, Denver, CO, 80225, USA.
| | - Hiranthi Jayasuriya
- Center for Veterinary Medicine, Office of Research, US Food and Drug Administration, Laurel, MD, 20708, USA
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Cao G, Li K, Guo J, Lu M, Hong Y, Cai Z. Mass Spectrometry for Analysis of Changes during Food Storage and Processing. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2020; 68:6956-6966. [PMID: 32516537 DOI: 10.1021/acs.jafc.0c02587] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
Many physicochemical changes occur during food storage and processing, such as rancidity, hydrolysis, oxidation, and aging, which may alter the taste, flavor, and texture of food products and pose risks to public health. Analysis of these changes has become of great interest to many researchers. Mass spectrometry is a promising technique for the study of food and nutrition domains as a result of its excellent ability in molecular profiling, food authentication, and marker detection. In this review, we summarized recent advances in mass spectrometry techniques and their applications in food storage and processing. Furthermore, current technical challenges associated with these methodologies were discussed.
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Affiliation(s)
- Guodong Cao
- State Key Laboratory of Environmental and Biological Analysis, Department of Chemistry, Hong Kong Baptist University, Kowloon, Hong Kong Special Administrative Region of the People's Republic of China
| | - Kun Li
- State Key Laboratory of Environmental and Biological Analysis, Department of Chemistry, Hong Kong Baptist University, Kowloon, Hong Kong Special Administrative Region of the People's Republic of China
- State Key Laboratory of Cotton Biology, Key Laboratory of Plant Stress Biology, School of Life Sciences, Henan University, Kaifeng, Henan 475004, People's Republic of China
| | - Jinggong Guo
- State Key Laboratory of Cotton Biology, Key Laboratory of Plant Stress Biology, School of Life Sciences, Henan University, Kaifeng, Henan 475004, People's Republic of China
| | - Minghua Lu
- State Key Laboratory of Cotton Biology, Key Laboratory of Plant Stress Biology, School of Life Sciences, Henan University, Kaifeng, Henan 475004, People's Republic of China
| | - Yanjun Hong
- State Key Laboratory of Environmental and Biological Analysis, Department of Chemistry, Hong Kong Baptist University, Kowloon, Hong Kong Special Administrative Region of the People's Republic of China
- HKBU Institute of Research and Continuing Education, Shenzhen, Guangdong 518057, People's Republic of China
| | - Zongwei Cai
- State Key Laboratory of Environmental and Biological Analysis, Department of Chemistry, Hong Kong Baptist University, Kowloon, Hong Kong Special Administrative Region of the People's Republic of China
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Nagornov KO, Zennegg M, Kozhinov AN, Tsybin YO, Bleiner D. Trace-Level Persistent Organic Pollutant Analysis with Gas-Chromatography Orbitrap Mass Spectrometry-Enhanced Performance by Complementary Acquisition and Processing of Time-Domain Data. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2020; 31:257-266. [PMID: 32031392 DOI: 10.1021/jasms.9b00032] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
The range of commercial techniques for high-resolution gas-chromatography-mass spectrometry (GC-MS) has been recently extended with the introduction of GC Orbitrap Fourier transform mass spectrometry (FTMS). We report on progress with quantitation performance in the analysis of persistent organic pollutants (POP), by averaging of time-domain signals (transients), from a number of GC-FTMS experiment replicates. Compared to a standard GC-FTMS measurement (a single GC-FTMS experiment replicate, mass spectra representation in reduced profile mode), for the 10 GC-FTMS technical replicates of ultratrace POP analysis, sensitivity improvement of up to 1 order of magnitude is demonstrated. The accumulation method was implemented with an external high-performance data acquisition system and dedicated data processing software to acquire the time-domain data for each GC-FTMS replicate and to average the acquired GC-FTMS data sets. Concomitantly, the increased flexibility in ion signal detection allowed the attainment of ultrahigh-mass resolution (UHR), approaching R = 700 000 at m/z = 200.
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Affiliation(s)
| | - Markus Zennegg
- Swiss Federal Laboratories for Materials Science and Technology (Empa) , Überlandstrasse 129 , 8600 Dübendorf , Switzerland
| | - Anton N Kozhinov
- Spectroswiss , EPFL Innovation Park, Building I, 1015 Lausanne , Switzerland
| | - Yury O Tsybin
- Spectroswiss , EPFL Innovation Park, Building I, 1015 Lausanne , Switzerland
| | - Davide Bleiner
- Swiss Federal Laboratories for Materials Science and Technology (Empa) , Überlandstrasse 129 , 8600 Dübendorf , Switzerland
- Department of Chemistry , University of Zurich , Winterthurerstrasse 190 , 8057 Zurich , Switzerland
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QUICK: Quality and Usability Investigation and Control Kit for Mass Spectrometric Data from Detection of Persistent Organic Pollutants. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2019; 16:ijerph16214203. [PMID: 31671576 PMCID: PMC6862152 DOI: 10.3390/ijerph16214203] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/27/2019] [Revised: 10/26/2019] [Accepted: 10/28/2019] [Indexed: 12/14/2022]
Abstract
Persistent organic pollutants (POPs) cause a significant public and environmental health concern due to their toxicity, long-range transportability, persistence, and bioaccumulation. The US Food and Drug Administration (FDA) has a program to monitor POPs in human and animal foods at ultra-trace levels, using gas chromatography coupled with mass spectrometry (GC-MS). Stringent quality control procedures are practiced within this program, ensuring the reliability and accuracy of these POP results. Due to the complexity of this program's quality control (QC), the decision-making process for data usability was very time-consuming, upward of three analyst hours for a batch of six extracts. We significantly reduced this time by developing a software kit, written in Python, to evaluate instrument and sample QC, along with data usability. A diverse set of 45 samples were tested using our software, QUICK (Quality and Usability Investigation and Control Kit), that resulted in equivalent results provided by a human reviewer. The software improved the efficiency of the analytical process by reducing the need for user intervention, while simultaneously recognizing a 95% decrease in data reduction time, from 3 hours to 10 minutes.
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