The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Label-free biodetection using a smartphone
Abstract
Utilizing its integrated camera as a spectrometer, we demonstrate the use of a smartphone as the detection instrument for a label-free photonic crystal biosensor. A custom-designed cradle holds the smartphone in fixed alignment with optical components, allowing for accurate and repeatable measurements of shifts in the resonant wavelength of the sensor. Externally provided broadband light incident upon an entrance pinhole is subsequently collimated and linearly polarized before passing through the biosensor, which resonantly reflects only a narrow band of wavelengths. A diffraction grating spreads the remaining wavelengths over the camera's pixels to display a high resolution transmission spectrum. The photonic crystal biosensor is fabricated on a plastic substrate and attached to a standard glass microscope slide that can easily be removed and replaced within the optical path. A custom software app was developed to convert the camera images into the photonic crystal transmission spectrum in the visible wavelength range, including curve-fitting analysis that computes the photonic crystal resonant wavelength with 0.009 nm accuracy. We demonstrate the functionality of the system through detection of an immobilized protein monolayer, and selective detection of concentration-dependent antibody binding to a functionalized photonic crystal. We envision the capability for an inexpensive, handheld biosensor instrument with web connectivity to enable point-of-care sensing in environments that have not been practical previously.
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
Integrated rapid-diagnostic-test reader platform on a cellphone
Mudanyali, O., Dimitrov, S., Sikora, U., Padmanabhan, S., Navruz, I., & Ozcan, A. (2012) · Lab on a Chip · doi:10.1039/c2lc40235a · Cited by 426
Cited by
Smartphone-based biosensors: A critical review and perspectives
Roda, A., Michelini, E., Zangheri, M., Di Fusco, M., Calabria, D., & Simoni, P. (2016) · TrAC Trends in Analytical Chemistry · doi:10.1016/j.trac.2015.10.019 · Cited by 520
Smartphone Fluorescence Spectroscopy
Yu, H., Tan, Y., & Cunningham, B. T. (2014) · Analytical Chemistry · doi:10.1021/ac502080t · Cited by 281
Self-citationFemtomolar Detection by Nanocoated Fiber Label-Free Biosensors
Chiavaioli, F., Zubiate, P., Del Villar, I., Zamarreño, C. R., Giannetti, A., Tombelli, S., Trono, C., Arregui, F. J., Matias, I. R., & Baldini, F. (2018) · ACS Sensors · doi:10.1021/acssensors.7b00918 · Cited by 253
Quantitative Imaging with a Mobile Phone Microscope
Skandarajah, A., Reber, C. D., Switz, N. A., & Fletcher, D. A. (2014) · PLoS ONE · doi:10.1371/journal.pone.0096906 · Cited by 196
Metadata
- Authors
- Gallegos, D., Long, K. D., Yu, H., Clark, P. P., Lin, Y., George, S., Nath, P., & Cunningham, B. T.
- Venue
- Lab on a Chip
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2013
- Volume
- 13
- Issue
- 11
- Pages
- 2124
- ISSN
- 1473-0189 (ISSN-L)
- 1473-0197
- OpenAlex
- W2093843230
- Cited by
- 312
- References
- 1
- FWCI
- 20.90
- 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: Label-free biodetection using a smartphone. https://app.cochat.ai/papers/10.1039/c3lc40991k
- The paper
- Gallegos, D., Long, K. D., Yu, H., Clark, P. P., Lin, Y., George, S., Nath, P., & Cunningham, B. T. (2013). Label-free biodetection using a smartphone. Lab on a Chip. https://doi.org/10.1039/c3lc40991k
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.