The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Determination and Detection of Reactive Oxygen Species (ROS), Lipid Peroxidation, and Electrolyte Leakage in Plants
Abstract
Reactive oxygen species or intermediates are formed by the incomplete reduction of oxygen. Organisms living in aerobic environment generate various kinds of reactive oxygen species (ROS) molecules, such as superoxide (*O(2)(-)), hydrogen peroxide (H(2)O(2)), hydroxyl radical (OH(-)), singlet oxygen, and lipid hydroperoxides. ROS are highly reactive molecules and are extremely unstable, so detection of ROS relies on measuring the end products that are formed when they react with particular substances. The end products can be measured by changes in their fluorescence, color, or luminescence. ROS causes lipid peroxidation wherein the lipids in the cell membranes are damaged. Lipid peroxidation is usually quantified using a colorimetric assay. When ROS concentrations reach a certain threshold, it activates a programmed cell death response in the cells. This is quantified by measuring the amount of ion leakage. ROS such as superoxide and hydrogen peroxide have been detected traditionally by staining techniques. Superoxide anion is detected with nitroblue tetrazolium (NBT) and hydrogen peroxide by Diaminobenzidine tetrahydrochloride (DAB) staining. In this chapter, methods for determining total ROS and lipid peroxidation assay, histochemical staining techniques for superoxide and H(2)O(2) molecules are described.
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
DHINDSA, R. S., PLUMB-DHINDSA, P., & THORPE, T. A. (1981) · Journal of Experimental Botany · doi:10.1093/jxb/32.1.93 · Cited by 4,421
Thordal‐Christensen, H., Zhang, Z., Wei, Y., & Collinge, D. B. (1997) · The Plant Journal · doi:10.1046/j.1365-313x.1997.11061187.x · Cited by 2,675
Initiation of Runaway Cell Death in an Arabidopsis Mutant by Extracellular Superoxide
Jabs, T., Dietrich, R. A., & Dangl, J. L. (1996) · Science · doi:10.1126/science.273.5283.1853 · Cited by 874
Doke, N. (1983) · Physiological Plant Pathology · doi:10.1016/0048-4059(83)90019-x · Cited by 811
Simple Assay for the Level of Total Lipid Peroxides in Serum or Plasma
Yagi, K. (2003) · Free Radical and Antioxidant Protocols · doi:10.1385/0-89603-472-0:101 · Cited by 539
Catalá, A. (2006) · The International Journal of Biochemistry & Cell Biology · doi:10.1016/j.biocel.2006.02.010 · Cited by 221
Cited by
Zubair, M., Adnan Ramzani, P. M., Rasool, B., Khan, M. A., ur-Rahman, M., Akhtar, I., Turan, V., Tauqeer, H. M., Farhad, M., Khan, S. A., et al. (2021) · Journal of Environmental Management · doi:10.1016/j.jenvman.2021.112047 · Cited by 174
DNA methylation variations underlie lettuce domestication and divergence
Cao, S., Sawettalake, N., Li, P., Fan, S., & Shen, L. (2024) · Genome Biology · doi:10.1186/s13059-024-03310-x · Cited by 23
Enzymatic Recording of Local Hydrogen Peroxide Generation Using Genetically Encodable Enzyme
Mishra, P. K., Park, I., Sharma, N., Yoo, C.-M., Lee, H. Y., & Rhee, H.-W. (2022) · Analytical Chemistry · doi:10.1021/acs.analchem.2c01966 · Cited by 14
Metadata
- Authors
- Jambunathan, N.
- Venue
- Methods in Molecular Biology
- Publisher
- Humana Press
- Published
- 2010
- Volume
- 639
- Pages
- 291-297
- ISSN
- 1064-3745 (ISSN-L)
- 1940-6029
- OpenAlex
- W230687915
- Cited by
- 554
- References
- 6
- FWCI
- 16.55
- 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: Determination and Detection of Reactive Oxygen Species (ROS), Lipid Peroxidation, and Electrolyte Leakage in Plants. https://app.cochat.ai/papers/10.1007/978-1-60761-702-0_18
- The paper
- Jambunathan, N. (2010). Determination and Detection of Reactive Oxygen Species (ROS), Lipid Peroxidation, and Electrolyte Leakage in Plants. Methods in Molecular Biology. https://doi.org/10.1007/978-1-60761-702-0_18
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.