Evidence map›Paper›PMID 36981090›Full record

ReviewFoods (Basel, Switzerland)2023

Microbial Detoxification of Residual Pesticides in Fermented Foods: Current Status and Prospects.

Nadya Armenova, Lidia Tsigoriyna, Alexander Arsov, Kaloyan Petrov, Penka Petrova

Full text readReview
In one paragraph

Review in Foods (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Review
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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.

Nadya ArmenovaInstitute of Chemical Engineering, Bulgarian Academy of Sciences, 1113 Sofia, Bulgaria.ORCID 0000-0002-4552-1710
Lidia TsigoriynaInstitute of Chemical Engineering, Bulgarian Academy of Sciences, 1113 Sofia, Bulgaria.ORCID 0000-0001-6123-2719
Alexander ArsovInstitute of Microbiology, Bulgarian Academy of Sciences, 1113 Sofia, Bulgaria.ORCID 0000-0003-4733-9530
Kaloyan PetrovInstitute of Chemical Engineering, Bulgarian Academy of Sciences, 1113 Sofia, Bulgaria.ORCID 0000-0001-9197-0894
Penka PetrovaInstitute of Microbiology, Bulgarian Academy of Sciences, 1113 Sofia, Bulgaria.ORCID 0000-0001-7356-5799

Funding

Bulgarian Ministry of Education and Science "Healthy Foods for a Strong Bio-Economy and Quality of Life", National Research Programme approved by DCM # 577/17.08.2018Cost Action SOURDOMICS CA 18101
6 · The paper itself

Abstract

The treatment of agricultural areas with pesticides is an indispensable approach to improve crop yields and cannot be avoided in the coming decades. At the same time, significant amounts of pesticides remain in food and their ingestion causes serious damage such as neurological, gastrointestinal, and allergic reactions; cancer; and even death. However, during the fermentation processing of foods, residual amounts of pesticides are significantly reduced thanks to enzymatic degradation by the starter and accompanying microflora. This review concentrates on foods with the highest levels of pesticide residues, such as milk, yogurt, fermented vegetables (pickles, kimchi, and olives), fruit juices, grains, sourdough, and wines. The focus is on the molecular mechanisms of pesticide degradation due to the presence of specific microbial species. They contain a unique genetic pool that confers an appropriate enzymological profile to act as pesticide detoxifiers. The prospects of developing more effective biodetoxification strategies by engaging probiotic lactic acid bacteria are also discussed.

Indexed as

foodfood detoxificationlactic acid bacteriapesticide

Identifiers

PMID36981090
PMCPMC10048192

What OpenQuestion holds

Textfull text, public
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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.