ReviewAAPS PharmSciTech2025
Integrating Quality by Design (QbD) in Phytosomal Drug Delivery: A New Era in Precision Phytotherapy.
Review in AAPS PharmSciTech, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed.
- Plant-derived exosome-like nanovesicles as programmable bio-organic excipients: a next-generation platform for precision and immuno-silent drug delivery.Daru : journal of Faculty of Pharmacy, Tehran University of Medical Sciences · 2026Review
- Phytosomes against melanoma: disrupting molecular pathways with targeted phytochemical delivery.Discover nano · 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
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Quality by Design (QbD) has emerged as a systematic and proactive approach in pharmaceutical development, ensuring consistent product quality through a thorough understanding of formulation components and critical process parameters. In the context of phytosomal formulations, which increase bioavailability and therapeutic effectiveness of phytoconstituents. QbD-driven risk analysis is essential for optimizing formulation parameters and reducing variability. The incorporation of risk assessment tools, such as Fault Tree Analysis (FTA), Ishikawa fishbone diagrams, Failure Mode and Effect Analysis (FMEA), and Design of Experiments (DoE), facilitates the identification and management of critical material attributes (CMAs) and critical process parameters (CPPs) that profoundly affect the quality attributes of phytosomal carriers. Utilizing a scientific and data-driven methodology, QbD enhances formulation development, resulting in superior stability, encapsulation efficiency, and controlled release properties. Furthermore, the utilization of QbD principles ensures regulatory adherence, improves repeatability, and minimizes batch-to-batch variability, resulting in a more dependable and scalable production process. The pharmaceutical industry is shifting to a methodical and knowledge-based approach, and QbD-driven risk analysis in phytosomal formulations is a transformational tool for maximizing the therapeutic potential of bioactive phytoconstituents.
Indexed as
Identifiers
40721898What 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.