The DOI matches its Crossref record.
Fully automated liquid extraction‐based surface sampling and ionization using a chip‐based robotic nanoelectrospray platform
Abstract
A fully automated liquid extraction‐based surface sampling device utilizing an Advion NanoMate chip‐based infusion nanoelectrospray ionization system is reported. Analyses were enabled for discrete spot sampling by using the Advanced User Interface of the current commercial control software. This software interface provided the parameter control necessary for the NanoMate robotic pipettor to both form and withdraw a liquid microjunction for sampling from a surface. The system was tested with three types of analytically important sample surface types, viz., spotted sample arrays on a MALDI plate, dried blood spots on paper, and whole‐body thin tissue sections from drug dosed mice. The qualitative and quantitative data were consistent with previous studies employing other liquid extraction‐based surface sampling techniques. Published in 2009 by John Wiley & Sons, Ltd.
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
Cited by
Ambient Sampling/Ionization Mass Spectrometry: Applications and Current Trends
Harris, G. A., Galhena, A. S., & Fernández, F. M. (2011) · Analytical Chemistry · doi:10.1021/ac200918u · Cited by 527
Zhang, J., Rector, J., Lin, J. Q., Young, J. H., Sans, M., Katta, N., Giese, N., Yu, W., Nagi, C., Suliburk, J., et al. (2017) · Science Translational Medicine · doi:10.1126/scitranslmed.aan3968 · Cited by 406
Therapeutic Drug Monitoring by Dried Blood Spot: Progress to Date and Future Directions
Wilhelm, A. J., den Burger, J. C. G., & Swart, E. L. (2014) · Clinical Pharmacokinetics · doi:10.1007/s40262-014-0177-7 · Cited by 342
Mass spectrometry imaging for drug distribution studies
Prideaux, B., & Stoeckli, M. (2012) · Journal of Proteomics · doi:10.1016/j.jprot.2012.07.028 · Cited by 279
Native Mass Spectrometry of Membrane Proteins
Keener, J. E., Zhang, G., & Marty, M. T. (2021) · Analytical Chemistry · doi:10.1021/acs.analchem.0c04342 · Cited by 126
Metadata
- Authors
- Kertesz, V., & Van Berkel, G. J.
- Venue
- Journal of Mass Spectrometry
- Publisher
- Wiley
- Published
- 2009-12-17
- Volume
- 45
- Issue
- 3
- Pages
- 252-260
- ISSN
- 1076-5174 (ISSN-L)
- 1096-9888
- OpenAlex
- W2035212554
- Cited by
- 350
- References
- 0
- FWCI
- 7.44
- 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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Fully automated liquid extraction‐based surface sampling and ionization using a chip‐based robotic nanoelectrospray platform. https://app.cochat.ai/papers/10.1002/jms.1709
- The paper
- Kertesz, V., & Van Berkel, G. J. (2010). Fully automated liquid extraction‐based surface sampling and ionization using a chip‐based robotic nanoelectrospray platform. Journal of Mass Spectrometry. https://doi.org/10.1002/jms.1709
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.
