The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.
Single-molecule mass spectrometry in solution using a solitary nanopore
Open accessAbstract
We introduce a two-dimensional method for mass spectrometry in solution that is based on the interaction between a nanometer-scale pore and analytes. As an example, poly(ethylene glycol) molecules that enter a single α-hemolysin pore cause distinct mass-dependent conductance states with characteristic mean residence times. The conductance-based mass spectrum clearly resolves the repeat unit of ethylene glycol, and the mean residence time increases monotonically with the poly(ethylene glycol) mass. This technique could prove useful for the real-time characterization of molecules in solution.
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
A tutorial on hidden Markov models and selected applications in speech recognition
Rabiner, L. R. (1989) · Proceedings of the IEEE · doi:10.1109/5.18626 · Cited by 22,743
Error bounds for convolutional codes and an asymptotically optimum decoding algorithm
Viterbi, A. (1967) · IEEE Transactions on Information Theory · doi:10.1109/tit.1967.1054010 · Cited by 6,759
Characterization of individual polynucleotide molecules using a membrane channel
Kasianowicz, J. J., Brandin, E., Branton, D., & Deamer, D. W. (1996) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.93.24.13770 · Cited by 3,362
Self-citationMixture Densities, Maximum Likelihood and the EM Algorithm
Redner, R. A., & Walker, H. F. (1984) · SIAM Review · doi:10.1137/1026034 · Cited by 2,693
Structure of Staphylococcal α-Hemolysin, a Heptameric Transmembrane Pore
Song, L., Hobaugh, M. R., Shustak, C., Cheley, S., Bayley, H., & Gouaux, J. E. (1996) · Science · doi:10.1126/science.274.5294.1859 · Cited by 2,377
Investigations on the Theory of the Brownian Movement
Topping, J. (1956) · Physics Bulletin · doi:10.1088/0031-9112/7/10/012 · Cited by 2,033
Investigations on the theory of the Brownian movement
Einstein, A. (1926) · BURJC Digital (King Juan Carlos University) · Cited by 1,861
Ion-beam sculpting at nanometre length scales
Li, J., Stein, D., McMullan, C., Branton, D., Aziz, M. J., & Golovchenko, J. A. (2001) · Nature · doi:10.1038/35084037 · Cited by 1,677
Baum, L. E. (1972) · Medical Entomology and Zoology · Cited by 1,405
Akeson, M., Branton, D., Kasianowicz, J. J., Brandin, E., & Deamer, D. W. (1999) · Biophysical Journal · doi:10.1016/s0006-3495(99)77153-5 · Cited by 959
Self-citation
Cited by
Nanopore-based technologies beyond DNA sequencing
Ying, Y.-L., Hu, Z.-L., Zhang, S., Qing, Y., Fragasso, A., Maglia, G., Meller, A., Bayley, H., Dekker, C., & Long, Y.-T. (2022) · Nature Nanotechnology · doi:10.1038/s41565-022-01193-2 · Cited by 538
Electrical recognition of the twenty proteinogenic amino acids using an aerolysin nanopore
Ouldali, H., Sarthak, K., Ensslen, T., Piguet, F., Manivet, P., Pelta, J., Behrends, J. C., Aksimentiev, A., & Oukhaled, A. (2020) · Nature Biotechnology · doi:10.1038/s41587-019-0345-2 · Cited by 474
Real-time shape approximation and fingerprinting of single proteins using a nanopore
Yusko, E. C., Bruhn, B. R., Eggenberger, O. M., Houghtaling, J., Rollings, R. C., Walsh, N. C., Nandivada, S., Pindrus, M., Hall, A. R., Sept, D., et al. (2017) · Nature Nanotechnology · doi:10.1038/nnano.2016.267 · Cited by 473
Lee, H., Venable, R. M., MacKerell, A. D., & Pastor, R. W. (2008) · Biophysical Journal · doi:10.1529/biophysj.108.133025 · Cited by 472
Applications of Nanobiotechnology in Clinical Diagnostics
Jain, K. K. (2007) · Clinical Chemistry · doi:10.1373/clinchem.2007.090795 · Cited by 381
Metadata
- Authors
- Robertson, J. W. F., Rodrigues, C. G., Stanford, V. M., Rubinson, K. A., Krasilnikov, O. V., & Kasianowicz, J. J.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2007-05-15
- Volume
- 104
- Issue
- 20
- Pages
- 8207-8211
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2027593760
- Cited by
- 364
- References
- 24
- FWCI
- 10.97
- Type
- journal article
- Language
- en
- Open access
- green
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: Single-molecule mass spectrometry in solution using a solitary nanopore. https://app.cochat.ai/papers/10.1073/pnas.0611085104
- The paper
- Robertson, J. W. F., Rodrigues, C. G., Stanford, V. M., Rubinson, K. A., Krasilnikov, O. V., & Kasianowicz, J. J. (2007). Single-molecule mass spectrometry in solution using a solitary nanopore. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.0611085104
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.
