Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 465

The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.

High‐throughput micro plate assays for screening flavonoid content and DPPH‐scavenging activity in sorghum bran and flour

Herald, Thomas J, Gadgil, Priyadarshini, Tilley, Michael·2012·Journal of the Science of Food and Agriculture

Abstract

BACKGROUND: Sorghum possesses phenolic compounds that are health‐promoting constituents of the grain. There are approximately 40 000 sorghum accessions, many of which have not been evaluated for the grain's health‐promoting potential. Conventional methods for measuring total phenolic content, flavonoid content and 2,2‐diphenyl‐1‐picrylhydrazyl (DPPH)‐scavenging capacity are time‐consuming and labour‐intensive, resulting in low overall throughput. The objective of this study was to develop a high‐throughput screening assay for large sorghum sample sets to determine flavonoid and phenolic content and to modify existing DPPH and total phenolic assays. RESULTS: The 96‐well assays exhibited a correlation of > 0.9 with the conventional assays. The 96‐well assays allowed for up to 64 samples to be run per day compared with 20–24 samples (depending on the test) for the conventional methods. The 96‐well assays had excellent accuracy (97.65–106.16% recovery), precision (1.06–8.28% coefficient of variation (CV)) and reproducibility (1.32–2.13% CV inter‐day and 1.36–2.09% CV intra‐day). CONCLUSION: The high‐throughput 96‐well plate method proved to be as robust and reproducible as the conventional method for determining total phenolic content, flavonoid content and DPPH‐scavenging capacity in either sorghum bran or flour. Published 2012 by John Wiley & Sons, Ltd.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1002/jsfa.5633

Cites

20 of 20 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Show all 20 references

Cited by

Metadata

Authors
Herald, T. J., Gadgil, P., & Tilley, M.
Venue
Journal of the Science of Food and Agriculture
Publisher
Wiley
Published
2012-03-14
Volume
92
Issue
11
Pages
2326-2331
ISSN
  • 0022-5142 (ISSN-L)
  • 1097-0010
OpenAlex
W2121622799
Cited by
465
References
20
FWCI
4.16
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

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.