scholarly journals Thermal decomposition based synthesis of Ag-In-S/ZnS quantum dots and their chlorotoxin-modified micelles for brain tumor cell targeting

RSC Advances ◽  
2015 ◽  
Vol 5 (74) ◽  
pp. 60612-60620 ◽  
Author(s):  
Siqi Chen ◽  
Mojtaba Ahmadiantehrani ◽  
Nelson G. Publicover ◽  
Kenneth W. Hunter ◽  
Xiaoshan Zhu

High quality cadmium-free silver-indium-sulfide (Ag-In-S or AIS) quantum dots (QDs) and their core–shell structures (AIS/ZnS QDs) were synthesized in a thermal decomposition system and applied for cellular imaging.

2019 ◽  
Author(s):  
Aurelio A. Rossinelli ◽  
Henar Rojo ◽  
Aniket S. Mule ◽  
Marianne Aellen ◽  
Ario Cocina ◽  
...  

<div>Colloidal semiconductor nanoplatelets exhibit exceptionally narrow photoluminescence spectra. This occurs because samples can be synthesized in which all nanoplatelets share the same atomic-scale thickness. As this dimension sets the emission wavelength, inhomogeneous linewidth broadening due to size variation, which is always present in samples of quasi-spherical nanocrystals (quantum dots), is essentially eliminated. Nanoplatelets thus offer improved, spectrally pure emitters for various applications. Unfortunately, due to their non-equilibrium shape, nanoplatelets also suffer from low photo-, chemical, and thermal stability, which limits their use. Moreover, their poor stability hampers the development of efficient synthesis protocols for adding high-quality protective inorganic shells, which are well known to improve the performance of quantum dots. <br></div><div>Herein, we report a general synthesis approach to highly emissive and stable core/shell nanoplatelets with various shell compositions, including CdSe/ZnS, CdSe/CdS/ZnS, CdSe/Cd<sub>x</sub>Zn<sub>1–x</sub>S, and CdSe/ZnSe. Motivated by previous work on quantum dots, we find that slow, high-temperature growth of shells containing a compositional gradient reduces strain-induced crystal defects and minimizes the emission linewidth while maintaining good surface passivation and nanocrystal uniformity. Indeed, our best core/shell nanoplatelets (CdSe/Cd<sub>x</sub>Zn<sub>1–x</sub>S) show photoluminescence quantum yields of 90% with linewidths as low as 56 meV (19.5 nm at 655 nm). To confirm the high quality of our different core/shell nanoplatelets for a specific application, we demonstrate their use as gain media in low-threshold ring lasers. More generally, the ability of our synthesis protocol to engineer high-quality shells can help further improve nanoplatelets for optoelectronic devices.</div>


Author(s):  
Hong‑Tao Chen ◽  
Jun Zhou ◽  
You‑Ling Fan ◽  
Chun‑Liang Lei ◽  
Bao‑Jin Li ◽  
...  

2018 ◽  
Vol 753 ◽  
pp. 364-370 ◽  
Author(s):  
Yanyan Chen ◽  
Qiang Wang ◽  
Tianyong Zha ◽  
Jigang Min ◽  
Jingying Gao ◽  
...  

2021 ◽  
pp. 57-62
Author(s):  
P. Kavitha ◽  
◽  
◽  
◽  
R. Subha Shini ◽  
...  

A member of a population who is at risk of becoming infected by disease is a susceptible individual. Finding disease susceptibility and generating an alert in advance, is valuable for an individual. The aim of the work presented a feature vector using different statistical texture analyses of brain tumors from an MRI image. The statistical feature texture is computed using GLCM (Gray Level Co-occurrence Matrices) of brain tumor cell structure. For this paper, the brain tumor cell segmented using the strip method to implement hybrid Assured Convergence Particle Swarm Optimization (ACPSO) - Fuzzy C-means clustering (FCM). Furthermore, the four angles 0o, 45o, 90o, and 135o have calculated the segmented brain image in GLCM. The four angular directions are calculated using texture features are correlation, energy, contrast and homogeneity. The texture analysis is performed on different types of images using past years. So, the algorithm proposed statistical texture features are calculated for iterative image segmentation. The algorithm FETC (Feature Extraction Tumor Cell) extracts statistical features of GLCM. These results show that MRI images can be implemented in a system of brain cancer detection.


ChemPhysChem ◽  
2009 ◽  
Vol 10 (9-10) ◽  
pp. 1466-1470 ◽  
Author(s):  
Sahid Hussain ◽  
Nayoun Won ◽  
Jutaek Nam ◽  
Jiwon Bang ◽  
Hyokyun Chung ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document