Lipid NanoparticlesFrom Liposomes to mRNA Vaccine Delivery, a Landscape of Research Diversity and Advancement
Open accessAbstract
Lipid nanoparticles (LNPs) have emerged across the pharmaceutical industry as promising vehicles to deliver a variety of therapeutics. Currently in the spotlight as vital components of the COVID-19 mRNA vaccines, LNPs play a key role in effectively protecting and transporting mRNA to cells. Liposomes, an early version of LNPs, are a versatile nanomedicine delivery platform. A number of liposomal drugs have been approved and applied to medical practice. Subsequent generations of lipid nanocarriers, such as solid lipid nanoparticles, nanostructured lipid carriers, and cationic lipid–nucleic acid complexes, exhibit more complex architectures and enhanced physical stabilities. With their ability to encapsulate and deliver therapeutics to specific locations within the body and to release their contents at a desired time, LNPs provide a valuable platform for treatment of a variety of diseases. Here, we present a landscape of LNP-related scientific publications, including patents and journal articles, based on analysis of the CAS Content Collection, the largest human-curated collection of published scientific knowledge. Rising trends are identified, such as nanostructured lipid carriers and solid lipid nanoparticles becoming the preferred platforms for numerous formulations. Recent advancements in LNP formulations as drug delivery platforms, such as antitumor and nucleic acid therapeutics and vaccine delivery systems, are discussed. Challenges and growth opportunities are also evaluated in other areas, such as medical imaging, cosmetics, nutrition, and agrochemicals. This report is intended to serve as a useful resource for those interested in LNP nanotechnologies, their applications, and the global research effort for their development.
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After modification or stimulation by corresponding factors, smart nanoparticles efficiently aggregate at the target location and release their payloads.
“After modification or stimulation by corresponding factors, these smart nanoparticles efficiently aggregate at the target location and release their payloads, establishing a smart treatment mode.8–12”
From Smart nanoparticles for cancer therapy (2023) · cites this paper as [8]
Smart nanoparticles can be triggered by specific stimuli and target specific sites with precise drug delivery.
“Unlike conventional nanoparticles, they can be triggered by specific stimuli and target-specific sites with precise drug delivery.7,8”
From Smart nanoparticles for cancer therapy (2023) · cites this paper as [8]
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- Authors
- Tenchov, R., Bird, R., Curtze, A. E., & Zhou, Q.
- Affiliations
- American Chemical Society (US)
- Corresponding author
- Zhou, Qiongqiong
- Venue
- ACS Nano
- Publisher
- American Chemical Society (ACS)
- Published
- 2021-06-28
- Volume
- 15
- Issue
- 11
- Pages
- 16982-17015
- ISSN
- 1936-0851 (ISSN-L)
- 1936-086X
- OpenAlex
- W3176970273
- Cited by
- 2,221
- References
- 257
- Citations by year
- 2026: 402 · 2025: 613 · 2024: 552 · 2023: 412 · 2022: 215 · 2021: 27
- FWCI
- 20.71
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- ACS Nano (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Topics
- Physical Sciences › Materials Science › Biomaterials › Nanoparticle-Based Drug Delivery
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA Interference and Gene Delivery
- Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Pharmaceutical Science › Advancements in Transdermal Drug Delivery
- Keywords
- lipid nanoparticles, liposomes, mRNA vaccine delivery, solid lipid nanoparticles, nanostructured lipid carriers, drug delivery, nanomedicine, research trends, patents, nucleic acid therapeutics, anticancer drug delivery, diagnostic imaging, cosmetics, agrochemicals
- MeSH terms
- COVID-19, mRNA Vaccines, Humans, Lipids, Liposomes, RNA, Messenger, RNA, Small Interfering, Nanoparticles
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 ›
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