Nanomaterials for Photo-Based Diagnostic and Therapeutic Applications
Open accessAbstract
Photo-based diagnosis and treatment methods are gaining prominence due to increased spatial imaging resolution, minimally invasive modalities involved as well as localized treatment. Recently, nanoparticles (NPs) have been developed and used in photo-based therapeutic applications. While some nanomaterials have inherent photo-based imaging capabilities, others including polymeric NPs act as nanocarriers to deliver various fluorescent dyes or photosensitizers for photoimaging and therapeutic applications. These applications can vary from Magnetic Resonance Imaging (MRI) and optical imaging to photothermal therapy (PTT) and chemotherapy. Materials commonly used for development of photo-based NPs ranges from metal-based (gold, silver and silica) to polymer-based (chitosan, dextran, poly ethylene glycol (PEG) and poly lactic-co-glycolic acid (PLGA)). Recent research has paved the way for multi-modal 'theranostic' (a combination of therapy and diagnosis) nano-carriers capable of active targeting using cell-specific ligands and carrying multiple therapeutic and imaging agents for accurate diagnosis and controlled drug delivery. This review summarizes the different materials used today to synthesize photo-based NPs, their diagnostic and therapeutic applications as well as the current challenges faced in bringing these novel nano-carriers into clinical practices.
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Upon injection, gold nanoparticles bind specifically to cancer cells and scatter shine, allowing doctors to easily identify tumors and healthy cells.
“Upon injection, gold nanoparticles bind specifically to cancer cells and scatter shine, allowing the doctors to easily identify tumors and healthy cells.85”
From Smart nanoparticles for cancer therapy (2023) · cites this paper as [85]
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Smart nanoparticles for cancer therapy
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- Authors
- Menon, J. U., Jadeja, P., Tambe, P., Vu, K., Yuan, B., & Nguyen, K. T.
- Affiliations
- The University of Texas at Arlington (US)
- Corresponding author
- Nguyen, Kytai T.
- Venue
- Theranostics
- Publisher
- Ivyspring International Publisher
- Published
- 2013
- Volume
- 3
- Issue
- 3
- Pages
- 152-166
- ISSN
- 1838-7640 (ISSN-L)
- PMC
- PMC3590585
- OpenAlex
- W2100892270
- Cited by
- 284
- References
- 131
- Citations by year
- 2026: 3 · 2025: 16 · 2024: 23 · 2023: 10 · 2022: 26 · 2021: 20 · 2020: 25 · 2019: 19 · 2018: 32 · 2017: 22 · 2016: 39 · 2015: 25 · 2014: 19 · 2013: 5
- FWCI
- 2.75
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by-nc
- Locations
- Theranostics (publishedVersion, cc-by-nc)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- UTA ResearchCommons (University of Texas Arlington) (submittedVersion)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Nanoplatforms for cancer theranostics
- Physical Sciences › Materials Science › Biomaterials › Nanoparticle-Based Drug Delivery
- Physical Sciences › Engineering › Biomedical Engineering › Nanotechnology research and applications
- Keywords
- nanoparticles, photothermal therapy, nanocarriers, photosensitizers, fluorescent dyes, magnetic resonance imaging, optical imaging, chitosan, PLGA, polymeric nanoparticles, metal nanoparticles, targeted drug delivery, multimodal imaging
- MeSH terms
- Diagnostic Imaging, Drug Carriers, Gold, Humans, Phototherapy, Polymers, Nanostructures
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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