Evidence map›Paper›PMID 34336359›Full record

ArticleJournal of analytical methods in chemistry2021

Development of Attenuated Total Reflectance Mid-Infrared (ATR-MIR) and Near-Infrared (NIR) Spectroscopy for the Determination of Resistant Starch Content in Wheat Grains.

Rong Wang, Xia Wei, Hongpan Wang, Linshu Zhao, Cengli Zeng, Bingrui Wang, Wenying Zhang, Luxiang Liu, Yanhao Xu

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of analytical methods in chemistry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.1field-weighted citation impact, top 28% of its field
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

2 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. 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 at 5 institutions in 1 country.

Rong WangHubei Key Laboratory of Waterlogging Disaster and Agriculture Use of Wetland and Hubei Collaborative Innovation Centre for Grain Industry and Engineering Research Center of Ecology and Agriculture Use of Wetland, Ministry of Education, Yangtze University, Jingzhou, Hubei 434025, China.
Xia WeiHubei Key Laboratory of Waterlogging Disaster and Agriculture Use of Wetland and Hubei Collaborative Innovation Centre for Grain Industry and Engineering Research Center of Ecology and Agriculture Use of Wetland, Ministry of Education, Yangtze University, Jingzhou, Hubei 434025, China.
Hongpan WangHubei Key Laboratory of Waterlogging Disaster and Agriculture Use of Wetland and Hubei Collaborative Innovation Centre for Grain Industry and Engineering Research Center of Ecology and Agriculture Use of Wetland, Ministry of Education, Yangtze University, Jingzhou, Hubei 434025, China.
Linshu ZhaoInstitute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
Cengli ZengHubei Engineering Research Center for Protection and Utilization of Special Biological Resources in the Hanjiang River Basin, Jianghan University, Wuhan 430056, China.
Bingrui WangCollege of Plant Science & Technology, Huazhong Agricultural University, Wuhan 430064, China.
Wenying ZhangHubei Key Laboratory of Waterlogging Disaster and Agriculture Use of Wetland and Hubei Collaborative Innovation Centre for Grain Industry and Engineering Research Center of Ecology and Agriculture Use of Wetland, Ministry of Education, Yangtze University, Jingzhou, Hubei 434025, China.
Luxiang LiuInstitute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China.ORCID https://orcid.org/0000-0001-6912-1482
Yanhao XuHubei Key Laboratory of Food Crop Germplasm and Genetic Improvement, Food Crops Institute, Hubei Academy of Agricultural Sciences, Wuhan 430064, China.ORCID https://orcid.org/0000-0002-7917-8885
Yangtze University · CNChinese Academy of Agricultural Sciences · CNHuazhong Agricultural University · CNHubei Academy of Agricultural Sciences · CNJianghan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The chemical method for the determination of the resistant starch (RS) content in grains is time-consuming and labor intensive. Near-infrared (NIR) and attenuated total reflectance mid-infrared (ATR-MIR) spectroscopy are rapid and nondestructive analytical techniques for determining grain quality. This study was the first report to establish and compare these two spectroscopic techniques for determining the RS content in wheat grains. Calibration models with four preprocessing techniques based on the partial least squares (PLS) algorithm were built. In the NIR technique, the mean normalization + Savitzky-Golay smoothing (MN + SGS) preprocessing technique had a higher coefficient of determination (

Identifiers

PMID34336359
PMCPMC8298176
OpenAlexW3183166088

What OpenQuestion holds

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Registered trials

None linked

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.