Evidence map›Paper›PMID 35464246›Full record

ArticleFood science and biotechnology2022

Simple chromatographic determination of aflatoxins in Korean fermented soybean products doenjang, ganjang, and gochujang, with comparison of derivatization methods.

So Young Woo, Hyun Ee Ok, Sang Yoo Lee, A-Yeong Jeong, Tae Kyun Jeong, Hyang Sook Chun

Open access · greenAbstract read
In one paragraph

Article in Food science and biotechnology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

3 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Review
  3. 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

6 authors at 1 institution in 1 country.

So Young WooSchool of Food Science and Technology, Chung-Ang University, Anseong, 17546 Korea.
Hyun Ee OkSchool of Food Science and Technology, Chung-Ang University, Anseong, 17546 Korea.
Sang Yoo LeeSchool of Food Science and Technology, Chung-Ang University, Anseong, 17546 Korea.
A-Yeong JeongSchool of Food Science and Technology, Chung-Ang University, Anseong, 17546 Korea.
Tae Kyun JeongSchool of Food Science and Technology, Chung-Ang University, Anseong, 17546 Korea.
Hyang Sook ChunSchool of Food Science and Technology, Chung-Ang University, Anseong, 17546 Korea.
Chung-Ang University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Korean fermented soybean products doenjang, ganjang, and gochujang are vulnerable to contamination with aflatoxigenic fungi in the open fermentation environment. Therefore, simple and effective methods to determine aflatoxins (AFs) in these complex food matrices are needed. High-performance liquid chromatography with fluorescence detection using two derivatization methods for AF determination in three fermented soybean products was optimized and validated. Pre-column derivatization (preCD) of the AF extracts was performed using trifluoroacetic acid, and post-column derivatization (PCD) was performed in a photochemical reactor for enhanced detection. Both derivatization methods resulted in acceptable performances for linearity (R2 > 0.999), recovery (71-118%), and precision (< 10.6%) values. Recovery and precision with preCD and PCD were similar, but the limit of detection was superior with PCD. When these analytical methods were applied to commercially available fermented soybean products, the AF levels of all commercial products were ranged from not detected to 6.06 μg/kg.

Indexed as

AflatoxinDoenjangGanjangGochujangPhotochemical reactor for enhanced detection

Identifiers

PMID35464246
PMCPMC8994806
OpenAlexW4214597172

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.