ReviewPolymers2024
Molecular Imprinting Technology for Advanced Delivery of Essential Oils.
Review in Polymers, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed.
- Antimicrobial Systems Based on Essential Oils Advanced by Zinc Oxide Nanoparticles.ACS pharmacology & translational science · 2026Review
- Article
- Exploration of Natural Adsorbents for Applications in Pollution-Reducing Cosmetic Formulations.Gels (Basel, Switzerland) · 2026Review
- Crossing the Blood-Brain Barrier with Molecularly Imprinted Polymeric Nanocarriers: An Emerging Frontier in Brain Disease Therapy.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Overcoming Template Surface Blocking: Geraniol Adsorption Studies Guiding MIP-Based Sensor Design.International journal of molecular sciences · 2025Article
- Enhancing essential oils: advanced extraction, sustainability, and nanotechnology for optimal use.Planta · 2025Review
- Combining Advanced Therapies with Alternative Treatments: A New Approach to Managing Antimicrobial Resistance?Pharmaceutics · 2025Review
- Platelet-Rich Plasma and Electrochemical Biosensors: A Novel Approach to Ovarian Function Evaluation and Diagnostics.International journal of molecular sciences · 2025Review
- Natural drug delivery systems for the treatment of neurodegenerative diseases.Molecular biology reports · 2025Review
- Collagen supplementation and regenerative health: advances in biomarker detection and smart material integration.Frontiers in nutrition · 2025Review
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
No grant is acknowledged in the PubMed record.
Abstract
Essential oils (EOs) hold therapeutic potential, but their conventional delivery systems have some limitations. This review focuses on the critical review and discussion of research related to EO delivery systems. The review also explores how molecular imprinting technologies (MIT) can advance EO delivery. MIT offer several techniques, namely covalent, non-covalent, and semi-covalent imprinting, creating targeted cavities that selectively bind and release EOs. These approaches promise significant advantages including increased selectivity, controlled release, and protection from environmental degradation. However, some challenges related to the stability and biocompatibility of MIPs remain unsolved. Integrating nanotechnology through methods like nanoparticle imprinting and some lithographic techniques seems promising to overcome these limitations. Some recently established models and systems used for EO-related research are paving the way for a more efficient and targeted EO delivery approach to harnessing the therapeutic power of EOs. Therefore, some recent and future research seems promising, and eventually it will increase the effectiveness of MIP-based EO delivery systems.
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.