The DOI matches its Crossref record.
A decade of microfluidic analysis coupled with electrospray mass spectrometry: An overview
Abstract
This review presents a thorough overview covering the period 1997-2006 of microfluidic chips coupled to mass spectrometry through an electrospray interface. The different types of fabrication processes and materials used to fabricate these chips throughout this period are discussed. Three 'eras' of interfaces are clearly distinguished. The earliest approach involves spraying from the edge of a chip, while later devices either incorporate a standard fused-silica emitter inserted into the device or fully integrated emitters formed during chip fabrication. A summary of microfluidic-electrospray devices for performing separations and sample pretreatment steps before sample introduction into the mass spectrometer is also presented.
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
Swenberg, J. A., Lu, K., Moeller, B. C., Gao, L., Upton, P. B., Nakamura, J., & Starr, T. B. (2011) · Toxicological Sciences · doi:10.1093/toxsci/kfq371 · Cited by 377
Recent developments in liquid chromatography–mass spectrometry and related techniques
Holčapek, M., Jirásko, R., & Lísa, M. (2012) · Journal of Chromatography A · doi:10.1016/j.chroma.2012.08.072 · Cited by 330
Capillary electrophoresis applied to proteomic analysis
Fonslow, B. R., & Yates III, J. R. (2009) · Journal of Separation Science · doi:10.1002/jssc.200800592 · Cited by 92
On‐line CE/ESI/MS interfacing: Recent developments and applications in proteomics
Krenkova, J., & Foret, F. (2012) · PROTEOMICS · doi:10.1002/pmic.201200140 · Cited by 44
Metadata
- Authors
- Koster, S., & Verpoorte, E.
- Venue
- Lab on a Chip
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2007
- Volume
- 7
- Issue
- 11
- Pages
- 1394
- ISSN
- 1473-0189 (ISSN-L)
- 1473-0197
- OpenAlex
- W2167936546
- Cited by
- 204
- References
- 0
- FWCI
- 16.92
- 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: A decade of microfluidic analysis coupled with electrospray mass spectrometry: An overview. https://app.cochat.ai/papers/10.1039/b709706a
- The paper
- Koster, S., & Verpoorte, E. (2007). A decade of microfluidic analysis coupled with electrospray mass spectrometry: An overview. Lab on a Chip. https://doi.org/10.1039/b709706a
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.