ArticleJournal of fungi (Basel, Switzerland)2022
Enhancement of Fungal Enzyme Production by Radio-Frequency Electromagnetic Fields.
Article in Journal of fungi (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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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.
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Who cites it
4 citing papers in PubMed, 11 citations in OpenAlex.
- Non-contact radiofrequency stimulation to the olfactory nerve of human subjects.APL bioengineering · 2025Article
- Isobavachalcone exhibits antifungal and antibiofilm effects againstFrontiers in cellular and infection microbiology · 2024Article
- A high throughput screening process and quick isolation of novel lignin-degrading microbes from large number of natural biomasses.Biotechnology reports (Amsterdam, Netherlands) · 2023Article
- Ena Proteins Respond to PacC-Mediated pH Signaling Pathway and Play a Crucial Role in Patulin Biosynthesis.Journal of fungi (Basel, Switzerland) · 2023Article
Corrections and comments
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Authors and funding
9 authors at 1 institution in 1 country.
Funding
Abstract
Enzyme production by microorganisms on an industrial scale has demonstrated technical bottlenecks, such as low efficiency in enzyme expression and extracellular secretion. In this study, as a potential tool for overcoming these technical limits, radio-frequency electromagnetic field (RF-EMF) exposure was examined for its possibility to enhance production of an enzyme, α-amylase, in a filamentous fungus,
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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.