ArticleFrontiers in microbiology2025
Assessing the authenticity and purity of a commercial
Article in Frontiers in microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Biopesticides, biological agents for pest control in plants, are becoming increasingly prevalent in agricultural practices. However, no established methodology currently exists to assess their quality, and there are currently no publicly available authenticity and purity evaluations of commercial products. This lack of data may represent risks because of their widespread dispersal in the environment. We evaluated the potential of whole genome sequencing (WGS) and metagenomics approaches, including nanopore long-read sequencing, to verify both authenticity (i.e., the labeled strain) and biological purity (i.e., the absence of any undesired genetic material) of commercial
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Registered trials
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.