The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Forensic application of the luminol reaction as a presumptive test for latent blood detection
Open accessAbstract
The forensic application of the luminol chemiluminescence reaction is reviewed. Luminol has been effectively employed for more than 40 years for the presumptive detection of bloodstains which are hidden from the naked eye at crime scenes and, for this reason, has been considered one of the most important and well-known assays in the field of forensic sciences. This review provides an historical overview of the forensic use of luminol, and the current understanding of the reaction mechanism with particular reference to the catalysis by blood. Operational use of the luminol reaction, including issues with interferences and the effect of the luminol reaction on subsequent serological and DNA testing is also discussed.
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
CRC Handbook of Chemistry and Physics
(2014) · doi:10.1201/b17118 · Cited by 57,706
BOHR, N. (1933) · Nature · doi:10.1038/131421a0 · Cited by 549
Cited by
Antioxidants: Characterization, natural sources, extraction and analysis
Oroian, M., & Escriche, I. (2015) · Food Research International · doi:10.1016/j.foodres.2015.04.018 · Cited by 572
Luminol-Based Chemiluminescent Signals: Clinical and Non-clinical Application and Future Uses
Khan, P., Idrees, D., Moxley, M. A., Corbett, J. A., Ahmad, F., von Figura, G., Sly, W. S., Waheed, A., & Hassan, M. I. (2014) · Applied Biochemistry and Biotechnology · doi:10.1007/s12010-014-0850-1 · Cited by 295
Metadata
- Authors
- Barni, F., Lewis, S. W., Berti, A., Miskelly, G. M., & Lago, G.
- Venue
- Talanta
- Publisher
- Elsevier BV
- Published
- 2007-05-15
- Volume
- 72
- Issue
- 3
- Pages
- 896-913
- ISSN
- 0039-9140 (ISSN-L)
- OpenAlex
- W2124847502
- Cited by
- 342
- References
- 2
- FWCI
- 24.36
- 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: Forensic application of the luminol reaction as a presumptive test for latent blood detection. https://app.cochat.ai/papers/10.1016/j.talanta.2006.12.045
- The paper
- Barni, F., Lewis, S. W., Berti, A., Miskelly, G. M., & Lago, G. (2007). Forensic application of the luminol reaction as a presumptive test for latent blood detection. Talanta. https://doi.org/10.1016/j.talanta.2006.12.045
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.
