Evidence map›Paper›PMID 34632368›Full record

ArticleFood chemistry: X2021

Physicochemical properties, content, composition and partial least squares models of

Yicheng Zhong, Zhenqian Zhang, Jing Chen, Juan Niu, Yaliang Shi, Yue Wang, Tianxin Chen, Zhimin Sun, Jianhua Chen, Mingbao Luan

Abstract read
In one paragraph

Article in Food chemistry: X, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

10 authors.

Yicheng ZhongInstitute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences/Key Laboratory of Stem-Fiber Biomass and Engineering Microbiology, Ministry of Agriculture, Changsha 410205, PR China.
Zhenqian ZhangAgricultural College, Hunan Agricultural University, Changsha 410205, PR China.
Jing ChenInstitute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences/Key Laboratory of Stem-Fiber Biomass and Engineering Microbiology, Ministry of Agriculture, Changsha 410205, PR China.
Juan NiuInstitute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences/Key Laboratory of Stem-Fiber Biomass and Engineering Microbiology, Ministry of Agriculture, Changsha 410205, PR China.
Yaliang ShiInstitute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences/Key Laboratory of Stem-Fiber Biomass and Engineering Microbiology, Ministry of Agriculture, Changsha 410205, PR China.
Yue WangInstitute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences/Key Laboratory of Stem-Fiber Biomass and Engineering Microbiology, Ministry of Agriculture, Changsha 410205, PR China.
Tianxin ChenInstitute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences/Key Laboratory of Stem-Fiber Biomass and Engineering Microbiology, Ministry of Agriculture, Changsha 410205, PR China.
Zhimin SunInstitute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences/Key Laboratory of Stem-Fiber Biomass and Engineering Microbiology, Ministry of Agriculture, Changsha 410205, PR China.
Jianhua ChenInstitute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences/Key Laboratory of Stem-Fiber Biomass and Engineering Microbiology, Ministry of Agriculture, Changsha 410205, PR China.
Mingbao LuanInstitute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences/Key Laboratory of Stem-Fiber Biomass and Engineering Microbiology, Ministry of Agriculture, Changsha 410205, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Physicochemical properties, oil content, and fatty acids (FAs) composition are key for determining the value of oil crops. The aim of this study was to illustrate the potential of exploiting

Indexed as

Akebia trifoliateASO, A. trfoliata seed oilD1, First derivative (Savitzky-Golay)D2, Second derivative (Savitzky-Golay)Edible oilFAs, Fatty acidsGC-MSLA, Linoleic acidMSC, Multiplicative scatter correctionNear-infrared spectroscopyNIRS, Near-infrared spectroscopyOA, Oleic acidPCA, Principal component analysisPLS, Partial least squaresR2cal, Coefficients of determination for calibrationR2cv, Coefficient of determination for cross-validationRMSEC, Root mean square error of calibrationRMSEP, Root mean square error of predictionSNV, Standard normal variateUFA, Unsaturated fatty acids

Identifiers

PMID34632368
PMCPMC8488009

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.