1
|
An assessment of quality assurance/quality control efforts in high resolution mass spectrometry non-target workflows for analysis of environmental samples. Trends Analyt Chem 2020. [DOI: 10.1016/j.trac.2020.116063] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
|
2
|
Meischl F, Harder M, Kirchler CG, Kremser J, Huck CW, Bonn GK, Rainer M. Novel asymmetric 1,3-di(alkyloxy)imidazolium based ionic liquids for liquid-phase microextraction of selected analgesics and estrogens from aqueous samples. J Mol Liq 2019. [DOI: 10.1016/j.molliq.2019.111157] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
|
3
|
Shao B, Li H, Shen J, Wu Y. Nontargeted Detection Methods for Food Safety and Integrity. Annu Rev Food Sci Technol 2019; 10:429-455. [DOI: 10.1146/annurev-food-032818-121233] [Citation(s) in RCA: 39] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Nontargeted workflows for chemical hazard analyses are highly desirable in the food safety and integrity fields to ensure human health. Two different analytical strategies, nontargeted metabolomics and chemical database filtering, can be used to screen unknown contaminants in food matrices. Sufficient mass and chromatographic resolutions are necessary for the detection of compounds and subsequent componentization and interpretation of candidate ions. Analytical chemistry–based technologies, including gas chromatography–mass spectrometry (GC-MS), liquid chromatography–mass spectrometry (LC-MS), nuclear magnetic resonance (NMR), and capillary electrophoresis–mass spectrometry (CE-MS), combined with chemometrics analysis are being used to generate molecular formulas of compounds of interest. The construction of a chemical database plays a crucial role in nontargeted detection. This review provides an overview of the current sample preparation, analytical chemistry–based techniques, and data analysis as well as the limitations and challenges of nontargeted detection methods for analyzing complex food matrices. Improvements in sample preparation and analytical platforms may enhance the relevance of food authenticity, quality, and safety.
Collapse
Affiliation(s)
- Bing Shao
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Veterinary Medicine, China Agricultural University, Beijing 100193, China
| | - Hui Li
- 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
| | - Yongning Wu
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Veterinary Medicine, China Agricultural University, Beijing 100193, China
- NHC Key Laboratory of Food Safety Risk Assessment, China National Center for Food Safety Risk Assessment, Beijing 100022, China
| |
Collapse
|
4
|
Reinstadler V, Lierheimer S, Boettcher M, Oberacher H. A validated workflow for drug detection in oral fluid by non-targeted liquid chromatography-tandem mass spectrometry. Anal Bioanal Chem 2019; 411:867-876. [PMID: 30519959 PMCID: PMC6338695 DOI: 10.1007/s00216-018-1504-x] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2018] [Revised: 11/05/2018] [Accepted: 11/19/2018] [Indexed: 12/16/2022]
Abstract
Oral fluid is recognized as an important specimen for drug testing. Common applications are monitoring in substance abuse treatment programs, therapeutic drug monitoring, pain management, workplace drug testing, clinical toxicology, and driving under the influence of drugs (DRUID). In this study, we demonstrate that non-targeted LC-MS/MS with subsequent compound identification by tandem mass spectral library search is a valuable tool for comprehensive detection and confirmation of drugs in oral fluid samples. The workflow developed involves solid-phase extraction and chromatographic separation on reversed phase materials. Mass spectrometric detection is accomplished on a quadrupole-quadrupole-time-of-flight instrument operated with data-dependent acquisition control. The workflow was optimized for 500 μl of neat oral fluid collected with the Greiner Bio-One saliva collection system. The fitness of the developed method was tested and proven by analyzing blank and spiked samples as well as 59 authentic patient samples. We could demonstrate that compounds with logP values in the range 0.5-5.5 are efficiently detected at low nanograms per milliliter concentrations. The true positive and true negative rates of automated library search were equal or close to 100%. The beauty of the non-targeted LC-MS/MS approach is the ability to detect compounds hardly included in routinely applied targeted assays, and this was demonstrated by detecting the synthetic opioid U-47700 in two patient samples. Graphical abstract ᅟ.
Collapse
Affiliation(s)
- Vera Reinstadler
- Institute of Legal Medicine and Core Facility Metabolomics, Medical University of Innsbruck, Muellerstr. 44, 6020, Innsbruck, Austria
| | - Stefan Lierheimer
- MVZ Labor Dessau GmbH, Bauhüttenstr. 6, 06847, Dessau-Roßlau, Germany
| | - Michael Boettcher
- MVZ Labor Dessau GmbH, Bauhüttenstr. 6, 06847, Dessau-Roßlau, Germany
| | - Herbert Oberacher
- Institute of Legal Medicine and Core Facility Metabolomics, Medical University of Innsbruck, Muellerstr. 44, 6020, Innsbruck, Austria.
| |
Collapse
|
5
|
Oberacher H, Reinstadler V, Kreidl M, Stravs MA, Hollender J, Schymanski EL. Annotating Nontargeted LC-HRMS/MS Data with Two Complementary Tandem Mass Spectral Libraries. Metabolites 2018; 9:metabo9010003. [PMID: 30583579 PMCID: PMC6359582 DOI: 10.3390/metabo9010003] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2018] [Revised: 12/17/2018] [Accepted: 12/21/2018] [Indexed: 12/15/2022] Open
Abstract
Tandem mass spectral databases are indispensable for fast and reliable compound identification in nontargeted analysis with liquid chromatography–high resolution tandem mass spectrometry (LC-HRMS/MS), which is applied to a wide range of scientific fields. While many articles now review and compare spectral libraries, in this manuscript we investigate two high-quality and specialized collections from our respective institutes, recorded on different instruments (quadrupole time-of-flight or QqTOF vs. Orbitrap). The optimal range of collision energies for spectral comparison was evaluated using 233 overlapping compounds between the two libraries, revealing that spectra in the range of CE 20–50 eV on the QqTOF and 30–60 nominal collision energy units on the Orbitrap provided optimal matching results for these libraries. Applications to complex samples from the respective institutes revealed that the libraries, combined with a simple data mining approach to retrieve all spectra with precursor and fragment information, could confirm many validated target identifications and yield several new Level 2a (spectral match) identifications. While the results presented are not surprising in many ways, this article adds new results to the debate on the comparability of Orbitrap and QqTOF data and the application of spectral libraries to yield rapid and high-confidence tentative identifications in complex human and environmental samples.
Collapse
Affiliation(s)
- Herbert Oberacher
- Institute of Legal Medicine and Core Facility Metabolomics, Medical University of Innsbruck, 6020 Innsbruck, Austria.
| | - Vera Reinstadler
- Institute of Legal Medicine and Core Facility Metabolomics, Medical University of Innsbruck, 6020 Innsbruck, Austria.
| | - Marco Kreidl
- Institute of Legal Medicine and Core Facility Metabolomics, Medical University of Innsbruck, 6020 Innsbruck, Austria.
| | - Michael A Stravs
- Eawag, Swiss Federal Institute of Aquatic Science and Technology, 8600 Dübendorf, Switzerland.
| | - Juliane Hollender
- Eawag, Swiss Federal Institute of Aquatic Science and Technology, 8600 Dübendorf, Switzerland.
- Institute of Biogeochemistry and Pollutant Dynamics, ETH Zurich, 8092 Zurich, Switzerland.
| | - Emma L Schymanski
- Eawag, Swiss Federal Institute of Aquatic Science and Technology, 8600 Dübendorf, Switzerland.
- Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, 4367 Belvaux, Luxembourg.
| |
Collapse
|
6
|
Phillips KA, Yau A, Favela KA, Isaacs KK, McEachran A, Grulke C, Richard AM, Williams AJ, Sobus JR, Thomas RS, Wambaugh JF. Suspect Screening Analysis of Chemicals in Consumer Products. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2018; 52:3125-3135. [PMID: 29405058 PMCID: PMC6168952 DOI: 10.1021/acs.est.7b04781] [Citation(s) in RCA: 76] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/18/2023]
Abstract
A two-dimensional gas chromatography-time-of-flight/mass spectrometry (GC×GC-TOF/MS) suspect screening analysis method was used to rapidly characterize chemicals in 100 consumer products-which included formulations (e.g., shampoos, paints), articles (e.g., upholsteries, shower curtains), and foods (cereals)-and therefore supports broader efforts to prioritize chemicals based on potential human health risks. Analyses yielded 4270 unique chemical signatures across the products, with 1602 signatures tentatively identified using the National Institute of Standards and Technology 2008 spectral database. Chemical standards confirmed the presence of 119 compounds. Of the 1602 tentatively identified chemicals, 1404 were not present in a public database of known consumer product chemicals. Reported data and model predictions of chemical functional use were applied to evaluate the tentative chemical identifications. Estimated chemical concentrations were compared to manufacturer-reported values and other measured data. Chemical presence and concentration data can now be used to improve estimates of chemical exposure, and refine estimates of risk posed to human health and the environment.
Collapse
Affiliation(s)
- Katherine A. Phillips
- National Exposure Research Laboratory U.S. Environmental Protection Agency, Office of Research and Development, 109 T. W. Alexander Drive, RTP, NC USA 27711
| | - Alice Yau
- Southwest Research Institute, San Antonio, TX
| | | | - Kristin K. Isaacs
- National Exposure Research Laboratory U.S. Environmental Protection Agency, Office of Research and Development, 109 T. W. Alexander Drive, RTP, NC USA 27711
| | - Andrew McEachran
- Oak Ridge Institute for Science and Education (ORISE), Oak Ridge, TN, USA 37830
- National Center for Computational Toxicology U.S. Environmental Protection Agency, Office of Research and Development, 109 T. W. Alexander Drive, RTP, NC USA 27711
| | - Christopher Grulke
- National Center for Computational Toxicology U.S. Environmental Protection Agency, Office of Research and Development, 109 T. W. Alexander Drive, RTP, NC USA 27711
| | - Ann M. Richard
- National Center for Computational Toxicology U.S. Environmental Protection Agency, Office of Research and Development, 109 T. W. Alexander Drive, RTP, NC USA 27711
| | - Antony J. Williams
- National Center for Computational Toxicology U.S. Environmental Protection Agency, Office of Research and Development, 109 T. W. Alexander Drive, RTP, NC USA 27711
| | - Jon R. Sobus
- National Exposure Research Laboratory U.S. Environmental Protection Agency, Office of Research and Development, 109 T. W. Alexander Drive, RTP, NC USA 27711
| | - Russell S. Thomas
- National Center for Computational Toxicology U.S. Environmental Protection Agency, Office of Research and Development, 109 T. W. Alexander Drive, RTP, NC USA 27711
| | - John F. Wambaugh
- National Center for Computational Toxicology U.S. Environmental Protection Agency, Office of Research and Development, 109 T. W. Alexander Drive, RTP, NC USA 27711
| |
Collapse
|
7
|
Lab on smartphone with interfaced electrochemical chips for on-site gender verification. J Electroanal Chem (Lausanne) 2016. [DOI: 10.1016/j.jelechem.2016.08.007] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
|