The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Alleviating the Reference Standard Dilemma Using a Systematic Exact Mass Suspect Screening Approach with Liquid Chromatography-High Resolution Mass Spectrometry
Abstract
In this study, the efficiency of a suspect screening strategy using liquid chromatography-high resolution mass spectrometry (LC-HRMS) without the prior purchase of reference standards was systematically optimized and evaluated for assessing the exposure of rarely investigated pesticides and their transformation products (TPs) in 76 surface water samples. Water-soluble and readily ionizable (electrospray ionization) substances, 185 in total, were selected from a list of all insecticides and fungicides registered in Switzerland and their major TPs. Initially, a solid phase extraction-LC-HRMS method was established using 45 known, persistent, and high sales volume pesticides. Seventy percent of these target substances had limit of quantitation (LOQ) < 5 ng L(-1). This compound set was then used to develop and optimize a HRMS suspect screening method using only the exact mass as a priori information. Thresholds for blank subtraction, peak area, peak shape, signal-to-noise, and isotopic pattern were applied to automatically filter the initially picked peaks. The success rate was 70%; false negatives mainly resulted from low intense peaks. The optimized approach was applied to the remaining 140 substances. Nineteen additional substances were detected in environmental samples, two TPs for the first time in the environment. Sixteen substances were confirmed with reference standards purchased subsequently, while three TP standards could be obtained from industry or other laboratories. Overall, this screening approach was fast and very successful and can easily be expanded to other micropollutant classes for which reference standards are not readily accessible such as TPs of household chemicals.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Krauss, M., Singer, H., & Hollender, J. (2010) · Analytical and Bioanalytical Chemistry · doi:10.1007/s00216-010-3608-9 · Cited by 743
Self-citationIn silico fragmentation for computer assisted identification of metabolite mass spectra
Wolf, S., Schmidt, S., Müller-Hannemann, M., & Neumann, S. (2010) · BMC Bioinformatics · doi:10.1186/1471-2105-11-148 · Cited by 698
Environmental Mass Spectrometry: Emerging Contaminants and Current Issues
Richardson, S. D. (2012) · Analytical Chemistry · doi:10.1021/ac202903d · Cited by 323
Cited by
Nontarget Screening with High Resolution Mass Spectrometry in the Environment: Ready to Go?
Hollender, J., Schymanski, E. L., Singer, H. P., & Ferguson, P. L. (2017) · Environmental Science & Technology · doi:10.1021/acs.est.7b02184 · Cited by 733
Self-citationZubarev, R. A., & Makarov, A. (2013) · Analytical Chemistry · doi:10.1021/ac4001223 · Cited by 658
Gago-Ferrero, P., Bletsou, A. A., Damalas, D. E., Aalizadeh, R., Alygizakis, N. A., Singer, H. P., Hollender, J., & Thomaidis, N. S. (2020) · Journal of Hazardous Materials · doi:10.1016/j.jhazmat.2019.121712 · Cited by 254
Self-citationMeyer, C., Stravs, M. A., & Hollender, J. (2024) · Environmental Science & Technology · doi:10.1021/acs.est.4c00968 · Cited by 64
Tang, C., Zheng, R., Zhu, Y., Liang, Y., Liang, Y., Liang, S., Xu, J., Zeng, Y.-H., Luo, X.-J., Lin, H., et al. (2023) · Environmental Science & Technology · doi:10.1021/acs.est.3c04239 · Cited by 16
Metadata
- Authors
- Moschet, C., Piazzoli, A., Singer, H., & Hollender, J.
- Venue
- Analytical Chemistry
- Publisher
- American Chemical Society (ACS)
- Published
- 2013-10-25
- Volume
- 85
- Issue
- 21
- Pages
- 10312-10320
- ISSN
- 0003-2700 (ISSN-L)
- 1520-6882
- OpenAlex
- W2312302414
- Cited by
- 191
- References
- 3
- FWCI
- 25.03
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.