Evidence map›Paper›PMID 37569623›Full record

ReviewInternational journal of molecular sciences2023

Research Progress of Nucleic Acid Detection Technology for Genetically Modified Maize.

Tongyun Luo, Lujing Li, Shirui Wang, Nan Cheng

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2023. 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. Article
  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

4 authors.

Tongyun LuoCollege of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China.ORCID 0000-0002-2092-8397
Lujing LiCollege of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China.
Shirui WangCollege of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China.
Nan ChengCollege of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China.ORCID 0000-0003-2907-978X

Funding

The STI 2030-Major Projects No.2022ZD0401901Young Elite Scientists Sponsorship Program by BAST No. BYESS2023265
6 · The paper itself

Abstract

Genetically modified (GM) maize is one of the earliest GM crops to have achieved large-scale commercial cultivation globally, and it is of great significance to excel in the development and implementation of safety policy regarding GM, and in its technical oversight. This article describes the general situation regarding genetically modified maize, including its varieties, applications, relevant laws and regulations, and so on. From a technical point of view, we summarize and critically analyze the existing methods for detecting nucleic acid levels in genetically modified maize. The nucleic acid extraction technology used for maize is explained, and the introduction of traditional detection techniques, which cover variable-temperature and isothermal amplification detection technology and gene chip technology, applications in maize are described. Moreover, new technologies are proposed, with special attention paid to nucleic acid detection methods using sensors. Finally, we review the current limitations and challenges of GM maize nucleic acid testing and share our vision for the future direction of this field.

Indexed as

Nucleic Acid Amplification TechniquesZea maysCrops, AgriculturalPlants, Genetically ModifiedTechnologyamplification technologygenetically modified maizenucleic acid detectionsensor

Identifiers

PMID37569623
PMCPMC10418336

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.