PEGylated-folic acid–modified black phosphorus quantum dots as near-infrared agents for dual-modality imaging-guided selective cancer cell destruction

Wang, Jing; Dong, Liang; Qu, Zehua; Kislyakov, I. M.; Киселев, В. М.; Li, Jun

doi:10.1515/nanoph-2019-0506

Cited by 28 publications

(16 citation statements)

References 31 publications

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“…Cellular and deep-tissue imaging [118] ultrasensitive detection of pH and temperature [119] Selectively target a variety of cancer cells [120] CDs Imaging-guided drug delivery [9] As a fluorescent nanoparticle probe for visual recognition of cancer cells [121] Mitochondrial targeting [98] Tumor therapeutics [50] Ultrasensitive detection of pH [122] Drug/gene delivery [123] Used as probes for analyzing biological systems [124] Ni dots Cellular imaging [125] P dots…”

Section: Gqdsmentioning

confidence: 99%

“…Unfortunately, the research on CDs with long-wavelength NIR emission has not been widely reported. For example, Wu et al [125] Therefore, fluorescence imaging has been considered as one of the most effective tools for observing biological processes in living cells. The preparation and modification of imaging materials have also become the focus of scientific researchers.…”

Section: Bioimagingmentioning

confidence: 99%

“…The preparation and modification of imaging materials have also become the focus of scientific researchers. For example, Zhu et al reported that a new type of water-soluble CdSe/CdS QDs was synthesized with the assistance of high-intensity ultrasound radiation, which was successfully used in fluorescence imaging of cells and blood capillary [125,173].…”

Section: Bioimagingmentioning

confidence: 99%

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Two-dimensional quantum dots for biological applications

Niu

Gao

et al. 2021

Nano Res.

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The two-dimensional quantum dots (2D-QDs) have been developed significantly in the past decades. The 2D-QDs could be used in bioimaging, biosensing, drug/gene delivery, and photodynamic/photothermal therapy. The potential applications in biology receive increasing attention, which makes them the novel and emerging candidates in biomaterial research fields. In this context, we discuss a variety of 2D-QDs with different physical and chemical properties. We focuse on the latest synthesis progress and recent applications in biotechnological, and biomedical applications of the 2D-QDs and we also evaluate the challenges and prospects in this field.

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Section: Gqdsmentioning

confidence: 99%

Section: Bioimagingmentioning

confidence: 99%

Section: Bioimagingmentioning

confidence: 99%

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Two-dimensional quantum dots for biological applications

Niu

Gao

et al. 2021

Nano Res.

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“…Furthermore, after 4 h and an FA-PEG@BPQD@DOX intravenous (IV) injection, the temperature at the tumor section rose speedily along with the period of irradiation. The irradiation of 300 s at 808 nm (2 W/cm 2 ) speedily increased the temperature to 56.8 °C, which is enough to destroy human embryonic kidney (HEK 293T) cancer cells [ 46 ]. In another approach, BP was coated with polydopamine (PDA) and a novel nanocapsule BP@PDA-PEG-FA loaded with doxorubicin (DOX) as a classical drug for cervical cancer treatment was prepared, and configured with mercapto group (HS)-based targeting polymer, HS-PEG-FA.…”

Section: Surface Modification Of Black Phosphorusmentioning

confidence: 99%

Black Phosphorus as Multifaceted Advanced Material Nanoplatforms for Potential Biomedical Applications

et al. 2020

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Black phosphorus is one of the emerging members of two-dimensional (2D) materials which has recently entered the biomedical field. Its anisotropic properties and infrared bandgap have enabled researchers to discover its applicability in several fields including optoelectronics, 3D printing, bioimaging, and others. Characterization techniques such as Raman spectroscopy have revealed the structural information of Black phosphorus (BP) along with its fundamental properties, such as the behavior of its photons and electrons. The present review provides an overview of synthetic approaches and properties of BP, in addition to a detailed discussion about various types of surface modifications available for overcoming the stability-related drawbacks and for imparting targeting ability to synthesized nanoplatforms. The review further gives an overview of multiple characterization techniques such as spectroscopic, thermal, optical, and electron microscopic techniques for providing an insight into its fundamental properties. These characterization techniques are not only important for the analysis of the synthesized BP but also play a vital role in assessing the doping as well as the structural integrity of BP-based nanocomposites. The potential role of BP and BP-based nanocomposites for biomedical applications specifically, in the fields of drug delivery, 3D printing, and wound dressing, have been discussed in detail to provide an insight into the multifunctional role of BP-based nanoplatforms for the management of various diseases, including cancer therapy. The review further sheds light on the role of BP-based 2D platforms such as BP nanosheets along with BP-based 0D platforms—i.e., BP quantum dots in the field of therapy and bioimaging of cancer using techniques such as photoacoustic imaging and fluorescence imaging. Although the review inculcates the multimodal therapeutic as well as imaging role of BP, there is still research going on in this field which will help in the development of BP-based theranostic platforms not only for cancer therapy, but various other diseases.

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“…Metabolic syndrome (MS) is a metabolic disorder syndrome, which was characterized by obesity, hyperglycemia, hypertension, dyslipidemia, and hyperuricemia, and this seriously endangers the health of patients [ 1 ]. It is a complex multisystem disease, and the difficulty lies between early intervention and multitarget therapy [ 2 ].…”

Section: Introductionmentioning

confidence: 99%

A Microcosmic Syndrome Differentiation Model for Metabolic Syndrome with Multilabel Learning

Xia

Zhang

et al. 2020

Evidence-Based Complementary and Alternative Medicine

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Background. Metabolic syndrome (MS) is a complex multisystem disease. Traditional Chinese medicine (TCM) is effective in preventing and treating MS. Syndrome differentiation is the basis of TCM treatment, which is composed of location and/or nature syndrome elements. At present, there are still some problems for objective and comprehensive syndrome differentiation in MS. This study mainly proposes a solution to two problems. Firstly, TCM syndromes are concurrent, that is, multiple TCM syndromes may develop in the same patient. Secondly, there is a lack of holistic exploration of the relationship between microscopic indexes, and TCM syndromes. In regard to these two problems, multilabel learning (MLL) method in machine learning can be used to solve them, and a microcosmic syndrome differentiation model can also be built innovatively, which can provide a foundation for the establishment of the next model of multidimensional syndrome differentiation in MS. Methods. The standardization scale of TCM four diagnostic information for MS was designed, which was used to obtain the results of TCM diagnosis. The model of microcosmic syndrome differentiation was constructed based on 39 physicochemical indexes by MLL techniques, called ML-kNN. Firstly, the multilabel learning method was compared with three commonly used single learning algorithms. Then, the results from ML-kNN were compared between physicochemical indexes and TCM information. Finally, the influence of the parameter k on the diagnostic model was investigated and the best k value was chosen for TCM diagnosis. Results. A total of 698 cases were collected for the modeling of the microcosmic diagnosis of MS. The comprehensive performance of the ML-kNN model worked obviously better than the others, where the average precision of diagnosis was 71.4%. The results from ML-kNN based on physicochemical indexes were similar to the results based on TCM information. On the other hand, the k value had less influence on the prediction results from ML-kNN. Conclusions. In the present study, the microcosmic syndrome differentiation model of MS with MLL techniques was good at predicting syndrome elements and could be used to solve the diagnosis problems of multiple labels. Besides, it was suggested that there was a complex correlation between TCM syndrome elements and physicochemical indexes, which worth future investigation to promote the development of objective differentiation of MS.

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PEGylated-folic acid–modified black phosphorus quantum dots as near-infrared agents for dual-modality imaging-guided selective cancer cell destruction

Cited by 28 publications

References 31 publications

Two-dimensional quantum dots for biological applications

Two-dimensional quantum dots for biological applications

Black Phosphorus as Multifaceted Advanced Material Nanoplatforms for Potential Biomedical Applications

A Microcosmic Syndrome Differentiation Model for Metabolic Syndrome with Multilabel Learning

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