Evidence map›Paper›PMID 40721898›Full record

ReviewAAPS PharmSciTech2025

Integrating Quality by Design (QbD) in Phytosomal Drug Delivery: A New Era in Precision Phytotherapy.

Sumant Kumar, Omar Awad Alsaidan, Sami I Alzarea, Akshay Kumar, Suresh Babu Kondaveeti, Diksha Sharma, Mohit Kumar, Devesh Kumar

Abstract readReview
PubMed Publisher
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Sumant KumarDepartment of Pharmaceutical Sciences and Technology, Maharaja Ranjit Singh Punjab Technical University (MRSPTU), Bathinda, 151001, Punjab, India.
Omar Awad AlsaidanDepartment of Pharmaceutics, College of Pharmacy, Jouf University, 72341, Sakaka, Saudi Arabia.
Sami I AlzareaDepartment of Pharmacology, College of Pharmacy, Jouf University, 72341, Sakaka, Aljouf, Saudi Arabia.
Akshay KumarChitkara College of Pharmacy, Chitkara University, Rajpura, Punjab, 140401, India.
Suresh Babu KondaveetiDept of Biochemistry, Symbiosis Medical College for Women, Symbiosis International (Deemed University), Pune, India.
Diksha SharmaRajiv Gandhi Government Post Graduate Ayurvedic College, Paprola - Panchrukhi Road, Paprola, Himachal Pradesh, 176115, India.
Mohit KumarChitkara College of Pharmacy, Chitkara University, Rajpura, Punjab, 140401, India. maddysharma3303@gmail.com.ORCID http://orcid.org/0000-0003-1603-9295
Devesh KumarChitkara College of Pharmacy, Chitkara University, Rajpura, Punjab, 140401, India. deveshkumar96755@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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

Drug Delivery SystemsPhytochemicalsPhytotherapyBiological AvailabilityChemistry, PharmaceuticalDrug CarriersDrug CompoundingHumansPrecision MedicineQuality ControlDrug CarriersPhytochemicalsdrug deliveryphytosomesquality by designrisk assessment

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.