The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Optical Oxygen Sensors for Applications in Microfluidic Cell Culture
Open accessAbstract
The presence and concentration of oxygen in biological systems has a large impact on the behavior and viability of many types of cells, including the differentiation of stem cells or the growth of tumor cells. As a result, the integration of oxygen sensors within cell culture environments presents a powerful tool for quantifying the effects of oxygen concentrations on cell behavior, cell viability, and drug effectiveness. Because microfluidic cell culture environments are a promising alternative to traditional cell culture platforms, there is recent interest in integrating oxygen-sensing mechanisms with microfluidics for cell culture applications. Optical, luminescence-based oxygen sensors, in particular, show great promise in their ability to be integrated with microfluidics and cell culture systems. These sensors can be highly sensitive and do not consume oxygen or generate toxic byproducts in their sensing process. This paper presents a review of previously proposed optical oxygen sensor types, materials and formats most applicable to microfluidic cell culture, and analyzes their suitability for this and other in vitro applications.
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
The origins and the future of microfluidics
Whitesides, G. M. (2006) · Nature · doi:10.1038/nature05058 · Cited by 9,687
Hypoxia — a key regulatory factor in tumour growth
Harris, A. L. (2002) · Nature Reviews Cancer · doi:10.1038/nrc704 · Cited by 5,177
Tumor Hypoxia: Definitions and Current Clinical, Biologic, and Molecular Aspects
Hockel, M., & Vaupel, P. (2001) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/93.4.266 · Cited by 2,662
Biomolecular gradients in cell culture systems
Keenan, T. M., & Folch, A. (2008) · Lab Chip · doi:10.1039/b711887b · Cited by 596
Cited by
A guide to the organ-on-a-chip
Leung, C. M., de Haan, P., Ronaldson-Bouchard, K., Kim, G.-A., Ko, J., Rho, H. S., Chen, Z., Habibovic, P., Jeon, N. L., Takayama, S., et al. (2022) · Nature Reviews Methods Primers · doi:10.1038/s43586-022-00118-6 · Cited by 1,116
The Art of Fluorescence Imaging with Chemical Sensors
Schäferling, M. (2012) · Angewandte Chemie International Edition · doi:10.1002/anie.201105459 · Cited by 721
Near-infrared phosphorescence: materials and applications
Xiang, H., Cheng, J., Ma, X., Zhou, X., & Chruma, J. J. (2013) · Chemical Society Reviews · doi:10.1039/c3cs60029g · Cited by 720
Organ-on-a-chip platforms: a convergence of advanced materials, cells, and microscale technologies
Ahadian, S., Civitarese, R., Bannerman, D., Mohammadi, M. H., Lu, R., Wang, E., Davenport‐Huyer, L., Lai, B., Zhang, B., Zhao, Y., et al. (2018) · Advanced Healthcare Materials · doi:10.1002/adhm.201700506 · Cited by 315
Rivera, K. R., Yokus, M. A., Erb, P. D., Pozdin, V. A., & Daniele, M. (2019) · The Analyst · doi:10.1039/c8an02201a · Cited by 57
Metadata
- Authors
- Grist, S. M., Chrostowski, L., & Cheung, K. C.
- Venue
- Sensors
- Publisher
- MDPI AG
- Published
- 2010-10-15
- Volume
- 10
- Issue
- 10
- Pages
- 9286-9316
- ISSN
- 1424-8220 (ISSN-L)
- OpenAlex
- W2023049557
- Cited by
- 169
- References
- 4
- FWCI
- 7.43
- Type
- journal article
- Language
- en
- Open access
- gold
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: Optical Oxygen Sensors for Applications in Microfluidic Cell Culture. https://app.cochat.ai/papers/10.3390/s101009286
- The paper
- Grist, S. M., Chrostowski, L., & Cheung, K. C. (2010). Optical Oxygen Sensors for Applications in Microfluidic Cell Culture. Sensors. https://doi.org/10.3390/s101009286
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.