Evidence map›Paper›PMID 38577346›Full record

ArticleFood chemistry. Molecular sciences2024

Quantitative and qualitative analysis of three DNA extraction methods from soybean, maize, and canola oils and investigation of the presence of genetically modified organisms (GMOs).

Melika Vahdani, Mohammad Ali Sahari, Mehrnaz Tanavar

Abstract read
In one paragraph

Article in Food chemistry. Molecular sciences, 2024. 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
–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

2 citing papers in PubMed.

  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

3 authors.

Melika VahdaniDepartment of Food Science and Technology, College of Agriculture, Tarbiat Modares University, P. O. Box, 14115-336 Tehran, Iran.
Mohammad Ali SahariDepartment of Food Science and Technology, College of Agriculture, Tarbiat Modares University, P. O. Box, 14115-336 Tehran, Iran.
Mehrnaz TanavarDepartment of Plant Genetics and Breeding, College of Agriculture, Tarbiat Modares University, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The objective of this study was to develop a DNA-based method for the identification and tracking of edible oils, which is important for health management. Three different DNA extraction methods (CTAB, MBST kit, and manual hexane-based method) were used to obtain high-purity DNA from crude and refined soybean, maize, and canola oils. PCR was then conducted using specific primers to identify the presence of genes related to each oil type and to assess transgenicity. The results showed that DNA was present in crude and refined oils, but in very low amounts. However, using method 3 for DNA extraction provided sufficient quantity and quality of DNA for successful PCR amplification. The study concluded that the main challenge in DNA extraction from oils is the presence of PCR inhibitors, which can be overcome using the manual hexane

Indexed as

Acetic acid glacial (PubChem CID: 176)Chloroform (PubChem CID: 6212)Coomassie brilliant blue G-250 (PubChem CID: 6324599)Crude and refined edible oilsCTAB (PubChem CID: 5974)DNA extractionEthanol (PubChem CID: 702)Genetically modified organisms (GMOs)Hexane (PubChem CID: 8058)Isopropanol (PubChem CID: 3776)Methanol (PubChem CID: 887)PCR inhibitorsPolymerase chain reaction (PCR)

Identifiers

PMID38577346
PMCPMC10990853

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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.