ReviewJournal of food science2026
Optimizing Essential Oil Blends by Mixture Design Approaches for Enhanced Antimicrobial and Antioxidant Activity: A Review.
Review in Journal of food science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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
5 citing papers in PubMed.
- Ceratonia siliqua: Phytochemistry, Bioactivity, and Its Emerging Role as a Sustainable Food and Industrial Resource.Journal of food science · 2026Review
- GC-MS Profiling, Antioxidant and Enzyme Inhibitory Activities of Basil (Molecules (Basel, Switzerland) · 2026Article
- Plant Monoterpenes Geraniol, Eugenol and Carvacrol Against Multidrug-Resistant ESKAPE Isolates from Surgical Wounds.Antibiotics (Basel, Switzerland) · 2026Article
- A Sustainable Approach for the Use of Plant Proteins as Functional Ingredients in Dairy Alternatives.Food science & nutrition · 2026Review
- Optimizing Essential Oil Blends by Mixture Design Approaches for Enhanced Antimicrobial and Antioxidant Activity: A Review.Journal of food science · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
The growing interest in natural alternatives to synthetic additives has driven research into essential oils (EOs) for antimicrobial and antioxidant applications. Statistical mixture design approaches provide effective tools to optimize multi-component EO blends for enhanced bioactivity. This review presents an overview of recent advances in applying mixture design methodologies, such as simplex lattice and simplex centroid designs, to develop EO combinations with improved antimicrobial and antioxidant activity. We summarize key findings on blend synergies, discuss mechanisms underlying enhanced efficacy, and highlight case studies where optimized mixtures outperform the action of individual EOs. Current patents and practical applications of optimized EO blends are reviewed, and future research directions are proposed, including multi-component formulations, encapsulation approaches, and machine learning-driven optimization. By synthesizing these insights, this review highlights mixture design as a sustainable and innovative approach to developing eco-friendly, effective EO-based antimicrobial and antioxidant formulations.
Indexed as
Identifiers
What OpenQuestion holds
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.