ReviewComprehensive reviews in food science and food safety2026
Green Oil-in-Water Nanoemulsions for Delivery of Phytochemicals With Pesticidal Activity for Sustainable Food Production and Safety.
Review in Comprehensive reviews in food science and food safety, 2026. 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
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
4 citing papers in PubMed.
- Review
- Eugenol nanoemulsion protects chickens against S. Typhimurium infection by improving cecal barrier function and alleviating oxidative stress and inflammation.Poultry science · 2026Article
- From genome to field, biocontrol efficacy of Bacillus subtilis strain M10 against Rhizoctonia solani in common bean.Scientific reports · 2026Article
- Improving Postharvest Quality of 'Tango' Mandarin Using a Preharvest Sonicated Nanoemulsion-Based Delivery System of Methyl Jasmonate and 1-Naphthaleneacetic Acid.Foods (Basel, Switzerland) · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Green oil-in-water (O/W) nanoemulsions incorporating essential oils (EOs) and food-derived compounds are gaining prominence as biopesticidal platforms that address the growing demand for sustainable agriculture, food safety, and reduced chemical inputs. These colloidal delivery systems enhance the solubility, stability, and bioefficacy of hydrophobic phytochemicals, offering an environmentally friendly alternative to conventional agrochemicals. This comprehensive review critically examines recent advances in the formulation and application of green O/W nanoemulsions for crop protection. We synthesize evidence on their pesticidal activity against a wide range of pests and phytopathogens relevant to food crop systems, including aphids, insects, fungi, bacteria, and weeds. Emphasis is placed on food-grade and biodegradable formulation components, such as biosurfactants and natural emulsifiers, as well as their implications for toxicological safety, environmental risk, and scalability. Nanoemulsions have been reported to enhance pest control relative to conventional formulations; however, the reported efficacy varies depending on the formulation composition, target organism, and application conditions. Their full potential remains underexplored in terms of field application, phytotoxicity, and impacts on nontarget organisms. Important gaps persist in addressing underrepresented targets such as plant viruses and nematodes. By integrating concepts of green chemistry, nanotechnology, and food system resilience, this review provides a forward-looking perspective on the role of green nanoemulsions in sustainable crop management. Their development aligns with the Sustainable Development Goals and offers promising solutions for integrated pest management, organic agriculture, and preharvest food safety, reinforcing the transition toward safer and more resilient food systems.
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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.