The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
The application of the anthrone reagent to the estimation of starch in cereals
Abstract
A colorimetric method using anthrone is described for the estimation of starch and soluble sugars in cereals, cereal by‐products, and mixed poultry rations. The method is rapid and requires no elaborate apparatus. An internal glucose standard is used. Results for the starch content of these materials show a standard deviation of 2–2% of the mean value.
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 estimation of carbohydrates in plant extracts by anthrone
Yemm, E. W., & Willis, A. J. (1954) · Biochemical Journal · doi:10.1042/bj0570508 · Cited by 4,493
Quantitative Determination of Carbohydrates With Dreywood's Anthrone Reagent
Morris, D. L. (1948) · Science · doi:10.1126/science.107.2775.254 · Cited by 1,929
Determination of Starch and Amylose in Vegetables
McCready, R. M., Guggolz, J., Silviera, V., & Owens, H. S. (1950) · Analytical Chemistry · doi:10.1021/ac60045a016 · Cited by 1,679
Studies on yeast metabolism. 1. Fractionation and microdetermination of cell carbohydrates
Trevelyan, W. E., & Harrison, J. S. (1952) · Biochemical Journal · doi:10.1042/bj0500298 · Cited by 872
Qualitative Test for Carbohydrate Material
Dreywood, R. (1946) · Industrial & Engineering Chemistry Analytical Edition · doi:10.1021/i560156a015 · Cited by 835
(1968) · Food and Cosmetics Toxicology · doi:10.1016/0015-6264(68)90141-7 · Cited by 254
Cited by
Storm, E., & Ørskov, E. R. (1983) · British Journal Of Nutrition · doi:10.1079/bjn19830114 · Cited by 229
Metadata
- Authors
- Clegg, K. M.
- Venue
- Journal of the Science of Food and Agriculture
- Publisher
- Wiley
- Published
- 1956-01
- Volume
- 7
- Issue
- 1
- Pages
- 40-44
- ISSN
- 0022-5142 (ISSN-L)
- 1097-0010
- OpenAlex
- W2130335582
- Cited by
- 710
- References
- 6
- FWCI
- 3.26
- 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: The application of the anthrone reagent to the estimation of starch in cereals. https://app.cochat.ai/papers/10.1002/jsfa.2740070108
- The paper
- Clegg, K. M. (1956). The application of the anthrone reagent to the estimation of starch in cereals. Journal of the Science of Food and Agriculture. https://doi.org/10.1002/jsfa.2740070108
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.