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Record W2750846844

Upconverting nanoparticles for integration in bioimaging and therapeutic applications.

2017· article· en· W2750846844 on OpenAlexfundno aff
Yue Huang

Bibliographic record

VenueEspaceINRS Institutional Digital Repository (Institut National de la Recherche Scientifique) · 2017
Typearticle
Languageen
FieldMaterials Science
TopicNanoparticle-Based Drug Delivery
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaCanada Research ChairsFonds de recherche du Québec – Nature et technologiesAlexander von Humboldt-Stiftung
KeywordsNanotechnologyNanoparticleComputer scienceMaterials science
DOInot available

Abstract

fetched live from OpenAlex

La transcription des symboles et des caractères spéciaux utilisés dans la version originale de \nce résumé n’a pas été possible en raison de limitations techniques. La version correcte de ce \nrésumé peut être lue en PDF. \nIn recent years, lanthanide (Ln3+)-doped upconverting nanoparticles (UCNPs) have emerged as efficient and versatile bioimaging as well as therapeutic tools. In general, these nanoparticles can be excited with near-infrared (NIR) light and emit higher-energy photons spanning the ultraviolet (UV), visible and NIR ranges via a multiphoton process known as upconversion. The multiphoton excitation occurs through a plethora of 4f excited electronic energy states, which have long lifetimes (micro- to millisecond). Compared with conventional fluorophores, UCNPs possess several advantages including reduced autofluorescence background, remarkable tissue penetration, and low cytotoxicity. Driven by these factors, Ln3+-doped UCNPs could serve as excellent candidates for numerous biological applications. In this thesis, our work is mainly focused on the development of novel nanostructures combining UCNPs with other modalities for bioimaging and therapeutic applications. \nIn the first part, we develop novel hybrid nanomaterials that exploit the interesting optical properties of both UCNPs and gold nanorods (GNRs), and bring them together onto a single nanoplatform. It is well known that GNRs are good candidates for photothermal therapy (PTT) where cancer cells are destroyed by optical heating. In order to generate a temperature increase in diseased cells, GNRs absorb light causing electrons to undergo transitions from the ground state to the excited state. The electronic excitation energy subsequently results in an increase in the kinetic energy, which leads to overheating of the local environment around the light absorbing species. Therefore, local cells or tissues could be destroyed by the heat produced. In addition, UCNPs can be applied as nanothermometers based on the temperature dependent luminescence where their luminescence intensity ratios (LIR) vary as a function of temperature. Thermal sensing with UCNPs could therefore be used for controlling the photothermal treatment, which would minimize collateral damage in healthy tissues surrounding the hyperthermia target. In detail, Part I is divided into two sections based on two different nanostructures (Section I and Section II). In Section I, we developed a novel core/shell nanostructure using a multistep strategy consisting of a GNR core with an upconverting shell of NaYF4:Er3+, Yb3+ (GNR@UCNPs). The absorption of GNR was tuned to ∼660 nm, which was resonant with the upconverted red Er3+ emission emanating from the 4F9/2 excited state. Upon laser irradiation, UCNPs converted NIR light to UV/visible photons via energy transfer, which could then be absorbed by GNRs and converted into heat. Meanwhile, the intensity ratio of the upconverted green emission showed remarkable thermal sensitivity, which was used to calculate the temperature change due to rapid heat conversion from the GNR core. Doxorubicin (DOX), a model anticancer drug, was selected to load into the GNR@UCNPs. In terms of the drug release profile, it was shown that the release of DOX was significantly enhanced at lower pH and higher temperature caused by photothermal effect. This multifunctional nanocomposite, which is well suited for bioimaging and local heating, shows strong potential for use in cancer therapy. \nIn section II, we developed another novel multifunctional nanocomposite consisting of GNRs, silicon dioxide (SiO2), and NaGdF4:Er3+, Yb3+ UCNPs (GNR@SiO2@UCNPs), with highly integrated functionalities including luminescence imaging, PTT and photodynamic therapy (PDT) capabilities. PDT is a light-activated clinical treatment, which causes the controlled death of diseased cells, such as tumor cells. It is based on a process in which a light sensitive drug called a photosensitizer is introduced in the cells, and is subsequently excited with light at an appropriate wavelength. The absorbed energy is transferred to the molecular oxygen present in the surroundings, generating reactive oxygen species (ROS) whose presence can trigger the death of the cells. Regarding this novel nanostructure, the surface plasmon resonance (SPR) of GNRs was tuned to 980 nm, which overlapped with the Yb3+ absorption. Under exposure of laser irradiation, UCNPs and GNRs could be excited simultaneously resulting in the generation of heat by the GNR with the ability to detect the temperature increment from the NaGdF4:Er3+, Yb3+ UCNPs as above. In addition, it is worth noting that luminescence enhancement was observed when compared with bare UCNPs due to the localized field created by the GNRs. Finally, a photosensitizer, zinc phthalocyanine (ZnPc), was loaded into the mesoporous silica. Under laser irradiation, UCNPs absorbed NIR light and converted it to visible light, subsequently activating the photosensitizer to release singlet oxygen for future applications in PDT. Therefore, such multifunctional nanocomposites, which are well suited for bioimaging, photothermal and photodynamic effects and show strong potential in cancer therapy. \nPart II is focused on the hybrid nanocarrier consisting NaGdF4:Er3+, Yb3+ UCNPs that were encapsulated in the aqueous core of liposomes and the potential of the obtained nanocarriers for drug delivery was shown by co-loading DOX. Liposomes, which composed of a lamellar phase lipid bilayer, are considered as good candidates for drug delivery, since their structure is similar to that of cell membranes. They can be selectively trapped by tumor tissues due to the high permeability of tumor vasculature toward liposomes in combination with the lack of proper lymphatic drainage. Therefore, liposomes have been introduced as suitable nanocarriers for UCNPs. Under 980 nm excitation, a decrease of the green upconversion emission of the UCNPs was observed when DOX was co-loaded with the UCNPs in the liposome nanocarrier. This quenching effect was assigned to the energy transfer between the donor UCNP and the acceptor DOX, and most importantly, it allowed for the spectral monitoring of the DOX loading and release from the liposome nanocarriers. Thus, the drug loading, release, and spectral monitoring properties of the obtained liposome nanocarriers were thoroughly characterized allowing us to assess their potential as bioimaging and therapeutic nanocarriers.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.082
GPT teacher head0.338
Teacher spread0.257 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2017
Admission routes1
Has abstractyes

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