Spectral Characteristics of a Quantum-Dot (CdSe/ZnS)-Doped Fiber in Low Concentrations

2009 ◽  
Vol 27 (10) ◽  
pp. 1362-1368 ◽  
Author(s):  
Cheng Cheng ◽  
Xuefeng Peng
MRS Advances ◽  
2017 ◽  
Vol 2 (14) ◽  
pp. 759-766 ◽  
Author(s):  
Kimberly Sablon ◽  
Andrei Sergeev ◽  
Xiang Zhang ◽  
Vladimir Mitin ◽  
Michael Yakimov ◽  
...  

ABSTRACTNovel approach to optimize quantum dot (QD) materials for specific optoelectronic applications is based on engineering of nanoscale potential profile, which is created by charged QDs. The nanoscale barriers prevent capture of photocarriers and drastically increase the photoelectron lifetime, which in turn strongly improves the photoconductive gain, responsivity, and sensitivity of photodetectors and decreases the nonradiative recombination losses of photovoltaic devices. QD charging may be created by various types of selective doping. To investigate effects of selective doping, we model, fabricated, and characterized AlGaAs/InAs QD structures with n-doping of QD layers, doping of interdot layers, and bipolar doping, which combines p-doping of QD layers with strong n-doping of the interdot space. We have measured spectral characteristics of photoresponse, photocurrent and dark current. The experimental data show that providing the same electron population of QDs, the bipolar doping creates the most contrasting nanoscale profile with the highest barriers around dots.


RSC Advances ◽  
2014 ◽  
Vol 4 (108) ◽  
pp. 63338-63341 ◽  
Author(s):  
A. Lourenço ◽  
R. Viveiros ◽  
A. Mouro ◽  
J. C. Lima ◽  
V. D. B. Bonifácio ◽  
...  

A green supercritical CO2-assisted molecular imprinting protocol enabled the production of smart sensory particles, incorporating quantum dots, with molecular recognition to bisphenol A at very low concentrations (4 nM).


2016 ◽  
Vol 16 (4) ◽  
pp. 3816-3820
Author(s):  
Lu Shuhua ◽  
Wang Aiji ◽  
Chen Tingfang ◽  
Wang Yinshu

Doped and undoped ZnS colloidal nanocrystals have drawn much attention due to their versatile applications in the fields of optoelectronics and biotechnology. In this paper, Cu doped ZnS quantum dots were synthesized via the simple thermolysis of ethylxanthate salts. The lattice and optical properties of the nanocrystals were then studied in detail. The quantum dot lattice contracted linearly between Cu concentrations of 0.2–2%, while it continued to contract more gradually as Cu concentrations were further increased from 4 to 6%, due in part to the Cu ions located on the surface of the ZnS lattice. Cu incorporation induces a long tail in absorption at long wavelengths. The PL spectrum shows a red shift at first, and then a blue shift with increases in Cu concentration. Cu doped at low concentrations (0.2–1%) enhanced the emission, while high Cu concentrations (2–6%) quenched emissions.


2012 ◽  
Vol 38 (11) ◽  
pp. 1024-1026
Author(s):  
S. A. Blokhin ◽  
A. M. Nadtochiy ◽  
S. A. Mintairov ◽  
N. A. Kalyuzhny ◽  
V. M. Emel’yanov ◽  
...  

Water ◽  
2019 ◽  
Vol 11 (9) ◽  
pp. 1859
Author(s):  
Fei Shi ◽  
Tingting Mao ◽  
Yitong Cao ◽  
Jie Yu ◽  
Dibo Hou ◽  
...  

This paper proposes a morphological grayscale reconstruction method combined with an alternating trilinear decomposition (ATLD) and threshold method based on 3D fluorescence spectroscopy to detect pollutants present at low concentrations in drinking water. First, the morphological grayscale reconstruction method was used to locate the fluorescence peaks of pollutants by comparing the original and reconstructed spectra obtained through expansion. The signal in the characteristic spectral region was then enhanced using an amplification factor. Feature extraction was subsequently performed by ATLD, and the threshold method was used to qualitatively distinguish water quality. By comparing the proposed method with the direct use of the ATLD and threshold method—which is a commonly used feature-extraction method—this study found that the application of the morphological grayscale reconstruction method can extrude characteristics of 3D fluorescence spectra. Given the typical spectral characteristics of phenol, salicylic acid, and rhodamine B, they were selected as experimental organic pollutants. Results illustrated that the morphological grayscale reconstruction with ATLD improved the spectral signal-to-noise ratio of pollutants and can effectively identify organic pollutants, especially those present at low concentrations.


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