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Application of quality by design in optimization of nanoformulations: Principle, perspectives and practices

  • Devendra Birla
  • , Nikhil Khandale
  • , Bushra Bashir
  • , Md ShahbazAlam
  • , Sukriti Vishwas
  • , Gaurav Gupta
  • , Harish Dureja
  • , Popat S. Kumbhar
  • , John Disouza
  • , Vandana Patravale
  • , Francisco Veiga
  • , Ana Cláudia Paiva-Santos
  • , Ramkumar Pillappan
  • , Keshav Raj Paudel
  • , Bey Hing Goh
  • , Manisha Singh
  • , Kamal Dua
  • , Sachin Kumar Singh
  • Lovely Professional University
  • Chitkara University
  • Maharshi Dayanand University
  • Shivaji University
  • Institute of Chemical Technology
  • University of Coimbra
  • NITTE
  • University of Technology Sydney
  • Sunway University
  • Monash University Malaysia
  • Jaypee University of Information Technology
  • Uttaranchal University

Research output: Contribution to journalReview articlepeer-review

33 Scopus citations

Abstract

Nanoparticulate drug delivery systems (NDDS) based nanoformulations have emerged as promising drug delivery systems. Various NDDS-based formulations have been reported such as polymeric nanoparticles (NPs), nanoliposomes, solid lipid NPs, nanocapsules, liposomes, self-nano emulsifying drug delivery systems, pro liposomes, nanospheres, microemulsion, nanoemulsion, gold NPs, silver NPs and nanostructured lipid carrier. They have shown numerous advantages such as enhanced bioavailability, aqueous solubility, permeability, controlled release profile, and blood–brain barrier (BBB) permeability. This advantage of NDDS can help to deliver pure drugs to the target site. However, the formulation of nanoparticles is a complex process that requires optimization to ensure product quality and efficacy. Quality by Design (QbD) is a systemic approach that has been implemented in the pharmaceutical industry to improve the quality and reliability of drug products. QbD involves the optimization of different parameters like zeta potential (ZP), particle size (PS), entrapment efficiency (EE), polydispersity index (PDI), and drug release using statistical experimental design. The present article discussed the detailed role of QbD in optimizing nanoformulations and their advantages, advancement, and applications from the industrial perspective. Various case studies of QbD in the optimization of nanoformulations are also discussed.

Original languageEnglish
Article number104157
Pages (from-to)798-830
Number of pages33
JournalDrug Delivery and Translational Research
Volume15
Issue number3
DOIs
StatePublished - Mar 2025

Keywords

  • Design of Experiment
  • Nanoformulations
  • Optimization
  • Quality by Design
  • Regulatory aspects

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