Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Article . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
versions View all 2 versions
addClaim

A Review on Optimization Techniques Used in Pharmaceutical Formulations

Authors: Km. Shveta Yadav, Pooja Bhardwaj, Ashirvad Chauhan, Shweta Mishra;

A Review on Optimization Techniques Used in Pharmaceutical Formulations

Abstract

Optimization of pharmaceutical products is a crucial aspect of drug development, ensuring that formulations are not only effective but also safe, cost-efficient, and compliant with regulatory standards. Over the years, various optimization techniques have emerged to address challenges in drug formulation, manufacturing, and delivery, with the goal of improving product quality, enhancing bioavailability, and reducing time-to-market. This review explores key strategies used in the optimization of pharmaceutical products, focusing on formulation optimization, manufacturing process improvements, and drug delivery system innovations. Techniques such as the selection of appropriate excipients, the use of nanotechnology for enhanced drug solubility, and the application of controlled release systems are discussed in detail. In manufacturing, advancements like continuous processing, Process Analytical Technology (PAT), and Quality-by-Design (QbD) principles have contributed significantly to improving product consistency and scalability. Furthermore, the role of computational modeling, in optimizing drug formulations and predicting pharmacokinetic properties is examined. This review highlights the ongoing efforts to optimize pharmaceutical products and underscores the importance of a multidisciplinary approach to meet the evolving needs of the pharmaceutical industry and patients alike.

Keywords

optimization, process analytical technique(PAT), quality by design(QbD) etc., optimization, process analytical technique(PAT), quality by design(QbD) etc.

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green