Evidence map›Paper›PMID 41289244›Full record

ArticlePloS one2025

A high-throughput method for determining the amylose content of rice.

Fei Chen, Yunsheng Song, Minghui Dong, Yulin Xie, Zhongying Qiao, Yongliang Zhu, Penghui Cao, Yajie Yu, Caiyong Yuan

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Fei ChenCrop Research Department, Institute of Agricultural Science in Taihu Lake District, Suzhou, Jiangsu, China.ORCID https://orcid.org/0009-0003-2304-9130
Yunsheng SongCrop Research Department, Institute of Agricultural Science in Taihu Lake District, Suzhou, Jiangsu, China.
Minghui DongCrop Research Department, Institute of Agricultural Science in Taihu Lake District, Suzhou, Jiangsu, China.
Yulin XieCrop Research Department, Institute of Agricultural Science in Taihu Lake District, Suzhou, Jiangsu, China.
Zhongying QiaoCrop Research Department, Institute of Agricultural Science in Taihu Lake District, Suzhou, Jiangsu, China.
Yongliang ZhuCrop Research Department, Institute of Agricultural Science in Taihu Lake District, Suzhou, Jiangsu, China.
Penghui CaoCrop Research Department, Institute of Agricultural Science in Taihu Lake District, Suzhou, Jiangsu, China.
Yajie YuCrop Research Department, Institute of Agricultural Science in Taihu Lake District, Suzhou, Jiangsu, China.
Caiyong YuanCrop Research Department, Institute of Agricultural Science in Taihu Lake District, Suzhou, Jiangsu, China.ORCID https://orcid.org/0009-0004-2739-8941

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rice is one of the world's most abundant food crops. The amylose content is a key factor affecting the production of high-quality rice. The commonly used method for determining the amylose content is the Iodine-Starch colorimetric method. Due to the limitations of traditional iodine colorimetric methods, this experiment provides a simple high-throughput method (SSDM) for determining amylose content. Using rice varieties with different genetic backgrounds as experimental materials, the accuracy and practicality of the new method were explored to improve measurement efficiency and simplify the operation process. The results demonstrated a strong correlation (R = 0.9998) between the absorbance values and amylose content, with a relative deviation of less than 1.2%. It showed good repeatability, with a variation range of 0.43% to 1.63%. The experiment takes a short time and can measure 96 samples at once. Therefore, while ensuring the accuracy of experimental results, the high-throughput measurement method improves the efficiency of measuring amylose content. This has important practical significance for early screening and identification of excellent individuals in rice quality genetic breeding programs.

Indexed as

AmyloseHigh-Throughput Screening AssaysOryzaColorimetryReproducibility of ResultsAmylose

Identifiers

PMID41289244
PMCPMC12646410

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.