Cited by 21Nanoparticle-Based Drug DeliveryDrug Solubulity and Delivery SystemsPharmacology and Nanomedicine Research

Scale-up and quality control challenges in the industrial manufacturing of nanoformulations: Current trends and future perspectives

Open access
-, Sankalp S Sammasagi, -, Kishori P Sutar, -, Shivaraj Hooli·2025·International Journal on Science and Technology

Abstract

Nanoformulations have rapidly transformed pharmaceutical research and industrial drug delivery, offering solutions for enhanced solubility, targeted therapy, and improved pharmacokinetics. However, translating these innovations from laboratory scale to industrial manufacturing presents significant challenges, particularly in process scale-up and quality control. This review critically examines current trends in the industrial production of nanoformulations, including nanoparticles, liposomes, and nanoemulsions, with an emphasis on scalable manufacturing technologies and the maintenance of critical quality attributes. Key obstacles such as reproducibility, batch-to-batch consistency, equipment limitations, and regulatory compliance are discussed, alongside advances in analytical techniques for quality assurance. Case studies of successful industrial-scale nanoformulation products are presented to illustrate practical solutions and ongoing hurdles. Finally, the review explores future perspectives, including the integration of automation, artificial intelligence, and sustainable manufacturing practices, which are poised to address existing limitations and shape the next generation of nanomedicine production. This synthesis aims to guide researchers and industry professionals in overcoming the bottlenecks associated with large-scale nanoformulation manufacturing and ensuring the delivery of safe, effective, and high-quality nanopharmaceuticals.

Integrity signals

Registry

Crossref · 10.71097/ijsat.v16.i2.6473

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • PLGA and metal-organic frameworks are preferred nanocarriers for DIS repurposing, while cyclodextrin molecular encapsulation is commonly used in both conventional and nanotechnology strategies.

    “Poly(lactic-co-glycolic acid) (PLGA) and metal-organic frameworks (MOFs) are preferred nanocarriers for DIS repurposing, while cyclodextrin (CD) molecular encapsulation is commonly used in both conventional and nanotechnology strategies.”

Cited by

Sorted by citations

Authors
-, S. S. S., -, K. P. S., & -, S. H.
Venue
International Journal on Science and Technology
Published
2025-06-21
Volume
16
Issue
2
ISSN
2229-7677 (ISSN-L)
OpenAlex
W4411566247
Cited by
21
References
0
Citations by year
2026: 18 · 2025: 3
FWCI
4.44
Type
journal article
Language
en
Open access
Licence
cc-by-sa
Locations
International Journal on Science and Technology (publishedVersion, cc-by-sa)
Topics
  • Physical Sciences › Materials Science › Biomaterials › Nanoparticle-Based Drug Delivery
  • Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Pharmaceutical Science › Drug Solubulity and Delivery Systems
  • Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Drug Discovery › Pharmacology and Nanomedicine Research
Keywords
nanoformulations, process scale-up, quality control, nanomedicine manufacturing, nanoparticles, liposomes, nanoemulsions, critical quality attributes, batch-to-batch consistency, reproducibility, regulatory compliance, analytical quality assurance, automation, artificial intelligence, sustainable manufacturing, nanotherapeutics

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review