Evidence map›Paper›PMID 27782205›Full record

ArticleScientific reports2016

Discrimination of transgenic soybean seeds by terahertz spectroscopy.

Wei Liu, Changhong Liu, Feng Chen, Jianbo Yang, Lei Zheng

Abstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. 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

5 authors.

Wei LiuSchool of Biotechnology and Food Engineering, Hefei University of Technology, Hefei 230009, China.
Changhong LiuSchool of Biotechnology and Food Engineering, Hefei University of Technology, Hefei 230009, China.
Feng ChenDepartment of Food, Nutrition and Packaging Sciences, Clemson University, Clemson, SC 29634, United States.
Jianbo YangRice Research Institute, Anhui Academy of Agricultural Sciences, Hefei 230031, China.
Lei ZhengSchool of Biotechnology and Food Engineering, Hefei University of Technology, Hefei 230009, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Discrimination of genetically modified organisms is increasingly demanded by legislation and consumers worldwide. The feasibility of a non-destructive discrimination of glyphosate-resistant and conventional soybean seeds and their hybrid descendants was examined by terahertz time-domain spectroscopy system combined with chemometrics. Principal component analysis (PCA), least squares-support vector machines (LS-SVM) and PCA-back propagation neural network (PCA-BPNN) models with the first and second derivative and standard normal variate (SNV) transformation pre-treatments were applied to classify soybean seeds based on genotype. Results demonstrated clear differences among glyphosate-resistant, hybrid descendants and conventional non-transformed soybean seeds could easily be visualized with an excellent classification (accuracy was 88.33% in validation set) using the LS-SVM and the spectra with SNV pre-treatment. The results indicated that THz spectroscopy techniques together with chemometrics would be a promising technique to distinguish transgenic soybean seeds from non-transformed seeds with high efficiency and without any major sample preparation.

Indexed as

Terahertz SpectroscopyDiscriminant AnalysisGlycine maxLeast-Squares AnalysisPlants, Genetically ModifiedPrincipal Component AnalysisSeedsSupport Vector Machine

Identifiers

PMID27782205
PMCPMC5080623

What OpenQuestion holds

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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.