ArticleMicroorganisms2025
Optimization of Microbial Consortium Formulation for Oily Food Waste Composting Using Mixture Design Methodology.
Article in Microorganisms, 2025. 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.
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Who cites it
4 citing papers in PubMed.
- Combined Application of a Composite Microbial Inoculant and Bulking Agents Improves Chicken Manure Composting.Microorganisms · 2026Article
- Intelligent Plasmonic Bio-Holoelectrochemical Systems: A Testable Architecture for Light-Programmed Microbial Electrochemistry.Global challenges (Hoboken, NJ) · 2026Review
- Combined application of Vancomycin and Levofloxacin potentiates the antimicrobial activity against MRSA: a response surface methodology-based study.Folia microbiologica · 2026Article
- Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
The efficient compounding of microbial agents for use in aerobic composting processes is a pressing problem that needs to be addressed. This work focused on the lack of effective oil-degrading microorganisms and the challenges in formulating microbial consortia during the composting of food waste (FW). Following the isolation of three bacteria and three fungi with high oil-degrading ability, a simplex-lattice mixture design methodology was used to conduct compounding within and between groups of bacteria and fungi. Three special cubic response models were successfully developed and validated by performing an analysis of variance. From our analysis, it was demonstrated that the three models had high R
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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.