Evidence map›Paper›PMID 34366473›Full record

ArticleJournal of food science and technology2021

Evaluation of DNA extraction methods for molecular traceability in cold pressed, solvent extracted and refined groundnut oils.

Keotshepile Precious Bojang, Aparna Kuna, Sreerangam N C V L Pushpavalli, Supta Sarkar, M Sreedhar

Open access · greenAbstract read
In one paragraph

Article in Journal of food science and technology, 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
1.5field-weighted citation impact, top 16% 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, 10 citations in OpenAlex.

  1. Article
  2. Review
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 at 1 institution in 1 country.

Keotshepile Precious BojangPost Graduate & Research Centre, PJTS Agricultural University, Hyderabad, India.
Aparna Kuna2MFPI-Quality Control Laboratory, PJTS Agricultural University, Hyderabad, India.
Sreerangam N C V L PushpavalliInstitute of Biotechnology, PJTS Agricultural University, Hyderabad, India.
Supta SarkarDepartmentof Foods & Nutrition, College of Community Science, PJTS Agricultural University, Hyderabad, India.
M Sreedhar5Regional Rice and Sugarcane Research Centre, PJTS Agricultural University, Rudrur, India.
Professor Jayashankar Telangana State Agricultural University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Groundnut oil (GNO)/peanut oil is one of the agro-food products with great economic value and hence an attractive target for adulteration and mislabeling. Simple Sequence Repeats (SSR) are markers of choice for DNA fingerprinting studies as they exhibit high polymorphism due to variable number of repeats. Hence, this study was designed to evaluate and optimize a method for DNA isolation from groundnut oil and study the possibility of using the isolated DNA for molecular traceability using SSR markers. Four methods to isolate DNA from groundnut oil were evaluated. All the four methods were modified CTAB protocols, but differed in procedures for extraction, buffer compositions, amount of oil used and DNA carriers. For molecular traceability of oils, extraction and recovery of DNA from edible oil is a key step, especially in refined oils. A method that employed DNA enrichment prior to extraction with CTAB buffer yielded amplifiable DNA from cold pressed GNO, crude hexane extracted GNO and refined GNO. The optimized method for isolation of DNA from groundnut oil is simple, efficient, less costly and reproducible when compared to chromatography and spectroscopy based techniques.

Indexed as

DNA extractionFingerprintingFood adulterationGroundnut oilSSR markers

Identifiers

PMID34366473
PMCPMC8292516
OpenAlexW3138215503

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.