The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
The Bradford Method for Protein Quantitation
Abstract
A rapid and accurate method for the estimation of protein concentration is essential in many fields of protein study. An assay originally described by Bradford ( 1 ) has become the preferred method for quantifying protein in many laboratories. This technique is simpler, faster, and more sensitive than the Lowry method. Moreover, when compared with the Lowry method, it is subject to less interference by common reagents and nonprotein components of biological samples ( see Note 1 ). These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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
Bradford, M. M. (1976) · Analytical Biochemistry · doi:10.1016/0003-2697(76)90527-3 · Cited by 255,302
Cited by
Macrophage-derived exosome-mimetic hybrid vesicles for tumor targeted drug delivery
Rayamajhi, S., Nguyen, T. D. T., Marasini, R., & Aryal, S. (2019) · Acta Biomaterialia · doi:10.1016/j.actbio.2019.05.054 · Cited by 429
Sun, W., Bernard, C., Van De Cotte, B., Van Montagu, M., & Verbruggen, N. (2001) · The Plant Journal · doi:10.1046/j.1365-313x.2001.01107.x · Cited by 317
Shukla, J. N., Kalsi, M., Sethi, A., Narva, K. E., Fishilevich, E., Singh, S., Mogilicherla, K., & Palli, S. R. (2016) · RNA Biology · doi:10.1080/15476286.2016.1191728 · Cited by 309
A promising laccase immobilization approach for Bisphenol A removal from aqueous solutions
Lassouane, F., Aït-Amar, H., Amrani, S., & Rodriguez-Couto, S. (2019) · Bioresource Technology · doi:10.1016/j.biortech.2018.09.129 · Cited by 251
Yuan, Y., Xu, X., Jing, C., Zou, P., Zhang, C., & Li, Y. (2018) · Carbohydrate Polymers · doi:10.1016/j.carbpol.2017.11.061 · Cited by 197
Metadata
- Authors
- Kruger, N. J.
- Venue
- Basic Protein and Peptide Protocols
- Publisher
- Humana Press
- Published
- 2003-11-14
- Volume
- 32
- Pages
- 9-16
- OpenAlex
- W2244276231
- Cited by
- 1,264
- References
- 1
- FWCI
- 23.24
- Type
- book chapter
- 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: The Bradford Method for Protein Quantitation. https://app.cochat.ai/papers/10.1385/0-89603-268-x:9
- The paper
- Kruger, N. J. (2003). The Bradford Method for Protein Quantitation. Basic Protein and Peptide Protocols. https://doi.org/10.1385/0-89603-268-x%3A9
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.