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19 pages, 3781 KiB  
Article
Constructing Dynamical Symmetries for Quantum Computing: Applications to Coherent Dynamics in Coupled Quantum Dots
by James R. Hamilton, Raphael D. Levine and Francoise Remacle
Nanomaterials 2024, 14(24), 2056; https://doi.org/10.3390/nano14242056 - 23 Dec 2024
Abstract
Dynamical symmetries, time-dependent operators that almost commute with the Hamiltonian, extend the role of ordinary symmetries. Motivated by progress in quantum technologies, we illustrate a practical algebraic approach to computing such time-dependent operators. Explicitly we expand them as a linear combination of time-independent [...] Read more.
Dynamical symmetries, time-dependent operators that almost commute with the Hamiltonian, extend the role of ordinary symmetries. Motivated by progress in quantum technologies, we illustrate a practical algebraic approach to computing such time-dependent operators. Explicitly we expand them as a linear combination of time-independent operators with time-dependent coefficients. There are possible applications to the dynamics of systems of coupled coherent two-state systems, such as qubits, pumped by optical excitation and other addressing inputs. Thereby, the interaction of the system with the excitation is bilinear in the coherence between the two states and in the strength of the time-dependent excitation. The total Hamiltonian is a sum of such bilinear terms and of terms linear in the populations. The terms in the Hamiltonian form a basis for Lie algebra, which can be represented as coupled individual two-state systems, each using the population and the coherence between two states. Using the factorization approach of Wei and Norman, we construct a unitary quantum mechanical evolution operator that is a factored contribution of individual two-state systems. By that one can accurately propagate both the wave function and the density matrix with special relevance to quantum computing based on qubit architecture. Explicit examples are derived for the electronic dynamics in coupled semi-conducting nanoparticles that can be used as hardware for quantum technologies. Full article
(This article belongs to the Special Issue Quantum Computing and Nanomaterial Simulations)
Show Figures

Figure 1

Figure 1
<p>(<b>a</b>) Level structure of the three-state model of a CdSE nanoparticle. Two excited electronic states, 1S and 2S are optically coupled to the ground state. (<b>b</b>) The corresponding three coupled <math display="inline"><semantics> <mrow> <mi>S</mi> <mi>U</mi> <mo stretchy="false">(</mo> <mn>2</mn> <mo stretchy="false">)</mo> </mrow> </semantics></math> algebras leading to 8 generators <math display="inline"><semantics> <mrow> <msub> <mrow> <mi mathvariant="bold-italic">X</mi> </mrow> <mrow> <mi>k</mi> </mrow> </msub> </mrow> </semantics></math>.</p>
Full article ">Figure 2
<p>The nine <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>g</mi> </mrow> <mrow> <mi>i</mi> </mrow> </msub> </mrow> </semantics></math> which govern the evolution operator <math display="inline"><semantics> <mrow> <mi mathvariant="bold-italic">U</mi> </mrow> </semantics></math> (Equation (6)) of the three-state system. Panels (<b>a</b>–<b>c</b>) show <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>g</mi> </mrow> <mrow> <mi>i</mi> </mrow> </msub> </mrow> </semantics></math> which are associated with coherence operators, and panel (<b>d</b>) shows <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>g</mi> </mrow> <mrow> <mi>i</mi> </mrow> </msub> </mrow> </semantics></math> which are associated with the population difference operators. All panels also show the three pulses <math display="inline"><semantics> <mrow> <mi>E</mi> <mfenced separators="|"> <mrow> <mi>t</mi> </mrow> </mfenced> </mrow> </semantics></math> applied at <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>t</mi> </mrow> <mrow> <mn>0</mn> </mrow> </msub> <mo>=</mo> <mn>14.5</mn> <mo> </mo> <mi>f</mi> <mi>s</mi> <mo>,</mo> </mrow> </semantics></math> <math display="inline"><semantics> <mrow> <mn>29</mn> <mo> </mo> <mi>f</mi> <mi>s</mi> </mrow> </semantics></math> and <math display="inline"><semantics> <mrow> <mn>43.5</mn> <mo> </mo> <mi>f</mi> <mi>s</mi> </mrow> </semantics></math>.</p>
Full article ">Figure 3
<p>The nine <math display="inline"><semantics> <mrow> <mfenced open="&#x27E8;" close="&#x27E9;" separators="|"> <mrow> <msub> <mrow> <mi mathvariant="bold-italic">X</mi> </mrow> <mrow> <mi>k</mi> </mrow> </msub> <mfenced separators="|"> <mrow> <mi>t</mi> </mrow> </mfenced> </mrow> </mfenced> </mrow> </semantics></math> of the three-state system, plotted as <math display="inline"><semantics> <mrow> <mo>−</mo> <mfenced open="&#x27E8;" close="&#x27E9;" separators="|"> <mrow> <mi>i</mi> <msub> <mrow> <mi mathvariant="bold-italic">X</mi> </mrow> <mrow> <mi>k</mi> </mrow> </msub> <mo stretchy="false">(</mo> <mi>t</mi> <mo stretchy="false">)</mo> </mrow> </mfenced> </mrow> </semantics></math>. Panels (<b>a</b>–<b>c</b>) show <math display="inline"><semantics> <mrow> <mo>−</mo> <mfenced open="&#x27E8;" close="&#x27E9;" separators="|"> <mrow> <mi>i</mi> <msub> <mrow> <mi mathvariant="bold-italic">X</mi> </mrow> <mrow> <mi>k</mi> </mrow> </msub> </mrow> </mfenced> <mo stretchy="false">(</mo> <mi>t</mi> <mo stretchy="false">)</mo> </mrow> </semantics></math> of coherence operators, and panel (<b>d</b>) shows the <math display="inline"><semantics> <mrow> <mo>−</mo> <mfenced open="&#x27E8;" close="&#x27E9;" separators="|"> <mrow> <mi>i</mi> <msub> <mrow> <mi mathvariant="bold-italic">X</mi> </mrow> <mrow> <mi>k</mi> </mrow> </msub> <mo stretchy="false">(</mo> <mi>t</mi> <mo stretchy="false">)</mo> </mrow> </mfenced> </mrow> </semantics></math> of the population difference operators. All panels also show the sequence of three pulses <math display="inline"><semantics> <mrow> <mi>E</mi> <mfenced separators="|"> <mrow> <mi>t</mi> </mrow> </mfenced> </mrow> </semantics></math>, which drives the dynamics.</p>
Full article ">Figure 4
<p>(<b>a</b>) Level structure of the dimer of Cdse nanoparticles. The ground states are coupled to eight excited states (<math display="inline"><semantics> <mrow> <mn>1</mn> <msubsup> <mrow> <mi>S</mi> </mrow> <mrow> <mrow> <mrow> <mn>3</mn> </mrow> <mo>/</mo> <mrow> <mn>2</mn> </mrow> </mrow> </mrow> <mrow> <mi>L</mi> </mrow> </msubsup> </mrow> </semantics></math>, <math display="inline"><semantics> <mrow> <mn>1</mn> <msubsup> <mrow> <mi>S</mi> </mrow> <mrow> <mrow> <mrow> <mn>3</mn> </mrow> <mo>/</mo> <mrow> <mn>2</mn> </mrow> </mrow> </mrow> <mrow> <mi>H</mi> </mrow> </msubsup> </mrow> </semantics></math>, <math display="inline"><semantics> <mrow> <mn>1</mn> <msubsup> <mrow> <mi>S</mi> </mrow> <mrow> <mrow> <mrow> <mn>1</mn> </mrow> <mo>/</mo> <mrow> <mn>2</mn> </mrow> </mrow> </mrow> <mrow> <mi>L</mi> </mrow> </msubsup> </mrow> </semantics></math>, <math display="inline"><semantics> <mrow> <mn>1</mn> <msubsup> <mrow> <mi>S</mi> </mrow> <mrow> <mrow> <mrow> <mn>1</mn> </mrow> <mo>/</mo> <mrow> <mn>2</mn> </mrow> </mrow> </mrow> <mrow> <mi>H</mi> </mrow> </msubsup> </mrow> </semantics></math>, <math display="inline"><semantics> <mrow> <mn>2</mn> <msubsup> <mrow> <mi>S</mi> </mrow> <mrow> <mrow> <mrow> <mn>3</mn> </mrow> <mo>/</mo> <mrow> <mn>2</mn> </mrow> </mrow> </mrow> <mrow> <mi>L</mi> </mrow> </msubsup> </mrow> </semantics></math>, <math display="inline"><semantics> <mrow> <mn>2</mn> <msubsup> <mrow> <mi>S</mi> </mrow> <mrow> <mrow> <mrow> <mn>3</mn> </mrow> <mo>/</mo> <mrow> <mn>2</mn> </mrow> </mrow> </mrow> <mrow> <mi>H</mi> </mrow> </msubsup> </mrow> </semantics></math>, <math display="inline"><semantics> <mrow> <mn>2</mn> <msubsup> <mrow> <mi>S</mi> </mrow> <mrow> <mrow> <mrow> <mn>1</mn> </mrow> <mo>/</mo> <mrow> <mn>2</mn> </mrow> </mrow> </mrow> <mrow> <mi>L</mi> </mrow> </msubsup> </mrow> </semantics></math> and <math display="inline"><semantics> <mrow> <mn>2</mn> <msubsup> <mrow> <mi>S</mi> </mrow> <mrow> <mrow> <mrow> <mn>1</mn> </mrow> <mo>/</mo> <mrow> <mn>2</mn> </mrow> </mrow> </mrow> <mrow> <mi>H</mi> </mrow> </msubsup> </mrow> </semantics></math>) by optical excitation. (<b>b</b>) the generators <math display="inline"><semantics> <mrow> <mfenced open="{" close="}" separators="|"> <mrow> <msub> <mrow> <mi mathvariant="bold-italic">X</mi> </mrow> <mrow> <mi>k</mi> </mrow> </msub> </mrow> </mfenced> </mrow> </semantics></math> of the nine-level system is constituted of 36 <math display="inline"><semantics> <mrow> <mi>S</mi> <mi>U</mi> <mo stretchy="false">(</mo> <mn>2</mn> <mo stretchy="false">)</mo> </mrow> </semantics></math> algebras.</p>
Full article ">Figure 5
<p>Six of the 108 <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>g</mi> </mrow> <mrow> <mi>i</mi> </mrow> </msub> </mrow> </semantics></math> which govern the time evolution operator <math display="inline"><semantics> <mrow> <mi mathvariant="bold-italic">U</mi> </mrow> </semantics></math> (Equation (6)) of the 9-state system. Panels (<b>a</b>,<b>c</b>,<b>e</b>,<b>f</b>) show <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>g</mi> </mrow> <mrow> <mi>i</mi> </mrow> </msub> </mrow> </semantics></math> which are associated with coherence generators, and panels (<b>b</b>,<b>d</b>) show <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>g</mi> </mrow> <mrow> <mi>i</mi> </mrow> </msub> </mrow> </semantics></math> which are associated with population difference generators. Panel (<b>a</b>) shows <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>g</mi> </mrow> <mrow> <mn>1</mn> </mrow> </msub> </mrow> </semantics></math>, which is associated with <math display="inline"><semantics> <mrow> <msub> <mrow> <mi mathvariant="bold-italic">X</mi> </mrow> <mrow> <mn>1</mn> </mrow> </msub> <mo>=</mo> <mi>i</mi> <mfenced separators="|"> <mrow> <msub> <mrow> <mi mathvariant="bold-italic">E</mi> </mrow> <mrow> <mn>12</mn> </mrow> </msub> <mo>+</mo> <msub> <mrow> <mi mathvariant="bold-italic">E</mi> </mrow> <mrow> <mn>21</mn> </mrow> </msub> </mrow> </mfenced> </mrow> </semantics></math>; Panel (<b>b</b>) shows <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>g</mi> </mrow> <mrow> <mn>3</mn> </mrow> </msub> </mrow> </semantics></math>, which is associated <math display="inline"><semantics> <mrow> <msub> <mrow> <mi mathvariant="bold-italic">X</mi> </mrow> <mrow> <mn>3</mn> </mrow> </msub> <mo>=</mo> <mi>i</mi> <mfenced separators="|"> <mrow> <msub> <mrow> <mi mathvariant="bold-italic">E</mi> </mrow> <mrow> <mn>11</mn> </mrow> </msub> <mo>−</mo> <msub> <mrow> <mi mathvariant="bold-italic">E</mi> </mrow> <mrow> <mn>22</mn> </mrow> </msub> </mrow> </mfenced> </mrow> </semantics></math>; Panel (<b>c</b>) shows <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>g</mi> </mrow> <mrow> <mn>22</mn> </mrow> </msub> </mrow> </semantics></math>, which is associated with <math display="inline"><semantics> <mrow> <msub> <mrow> <mi mathvariant="bold-italic">X</mi> </mrow> <mrow> <mn>22</mn> </mrow> </msub> <mo>=</mo> <mi>i</mi> <mfenced separators="|"> <mrow> <msub> <mrow> <mi mathvariant="bold-italic">E</mi> </mrow> <mrow> <mn>18</mn> </mrow> </msub> <mo>+</mo> <msub> <mrow> <mi mathvariant="bold-italic">E</mi> </mrow> <mrow> <mn>81</mn> </mrow> </msub> </mrow> </mfenced> </mrow> </semantics></math>; Panel (<b>d</b>) shows <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>g</mi> </mrow> <mrow> <mn>24</mn> </mrow> </msub> </mrow> </semantics></math>, which is associated with <math display="inline"><semantics> <mrow> <msub> <mrow> <mi mathvariant="bold-italic">X</mi> </mrow> <mrow> <mn>24</mn> </mrow> </msub> <mo>=</mo> <mi>i</mi> <mfenced separators="|"> <mrow> <msub> <mrow> <mi mathvariant="bold-italic">E</mi> </mrow> <mrow> <mn>11</mn> </mrow> </msub> <mo>−</mo> <msub> <mrow> <mi mathvariant="bold-italic">E</mi> </mrow> <mrow> <mn>88</mn> </mrow> </msub> </mrow> </mfenced> </mrow> </semantics></math>; panel (<b>e</b>) shows <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>g</mi> </mrow> <mrow> <mn>25</mn> </mrow> </msub> </mrow> </semantics></math>, which is associated with <math display="inline"><semantics> <mrow> <msub> <mrow> <mi mathvariant="bold-italic">X</mi> </mrow> <mrow> <mn>25</mn> </mrow> </msub> <mo>=</mo> <mi>i</mi> <mfenced separators="|"> <mrow> <msub> <mrow> <mi mathvariant="bold-italic">E</mi> </mrow> <mrow> <mn>23</mn> </mrow> </msub> <mo>+</mo> <msub> <mrow> <mi mathvariant="bold-italic">E</mi> </mrow> <mrow> <mn>32</mn> </mrow> </msub> </mrow> </mfenced> </mrow> </semantics></math>; and panel (<b>f</b>) shows <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>g</mi> </mrow> <mrow> <mn>46</mn> </mrow> </msub> </mrow> </semantics></math>, which is associated with <math display="inline"><semantics> <mrow> <msub> <mrow> <mi mathvariant="bold-italic">X</mi> </mrow> <mrow> <mn>46</mn> </mrow> </msub> <mo>=</mo> <mi>i</mi> <mfenced separators="|"> <mrow> <msub> <mrow> <mi mathvariant="bold-italic">E</mi> </mrow> <mrow> <mn>34</mn> </mrow> </msub> <mo>+</mo> <msub> <mrow> <mi mathvariant="bold-italic">E</mi> </mrow> <mrow> <mn>43</mn> </mrow> </msub> </mrow> </mfenced> <mo>.</mo> </mrow> </semantics></math> All panels also show the three pulses <math display="inline"><semantics> <mrow> <mi>E</mi> <mfenced separators="|"> <mrow> <mi>t</mi> </mrow> </mfenced> </mrow> </semantics></math>.</p>
Full article ">Figure 6
<p>Six of the 108 <math display="inline"><semantics> <mrow> <mfenced open="&#x27E8;" close="&#x27E9;" separators="|"> <mrow> <msub> <mrow> <mi mathvariant="bold-italic">X</mi> </mrow> <mrow> <mi>k</mi> </mrow> </msub> <mo stretchy="false">(</mo> <mi>t</mi> <mo stretchy="false">)</mo> </mrow> </mfenced> </mrow> </semantics></math> of the nine-state system, plotted as <math display="inline"><semantics> <mrow> <mo>−</mo> <mfenced open="&#x27E8;" close="&#x27E9;" separators="|"> <mrow> <mi>i</mi> <msub> <mrow> <mi mathvariant="bold-italic">X</mi> </mrow> <mrow> <mi>k</mi> </mrow> </msub> <mo stretchy="false">(</mo> <mi>t</mi> <mo stretchy="false">)</mo> </mrow> </mfenced> </mrow> </semantics></math>. Panels (<b>a</b>,<b>c</b>,<b>e</b>,<b>f</b>) show <math display="inline"><semantics> <mrow> <mo>−</mo> <mfenced open="&#x27E8;" close="&#x27E9;" separators="|"> <mrow> <mi>i</mi> <msub> <mrow> <mi mathvariant="bold-italic">X</mi> </mrow> <mrow> <mi>k</mi> </mrow> </msub> <mo stretchy="false">(</mo> <mi>t</mi> <mo stretchy="false">)</mo> </mrow> </mfenced> </mrow> </semantics></math> of coherence operators, and panels (<b>b</b>,<b>d</b>) show <math display="inline"><semantics> <mrow> <mo>−</mo> <mfenced open="&#x27E8;" close="&#x27E9;" separators="|"> <mrow> <mi>i</mi> <msub> <mrow> <mi mathvariant="bold-italic">X</mi> </mrow> <mrow> <mi>k</mi> </mrow> </msub> <mo stretchy="false">(</mo> <mi>t</mi> <mo stretchy="false">)</mo> </mrow> </mfenced> </mrow> </semantics></math> of population difference operators. All panels also show the time profile of the electric field, <math display="inline"><semantics> <mrow> <mi>E</mi> <mfenced separators="|"> <mrow> <mi>t</mi> </mrow> </mfenced> </mrow> </semantics></math>, made of a sequence of three pulses, which drives the dynamics.</p>
Full article ">
16 pages, 9913 KiB  
Article
Manifestation of Donor–Acceptor Properties of N-Doped Polymer Carbon Dots During Hydrogen Bonds Formation in Different Solvents
by Anisiya Korepanova, Kirill Laptinskiy and Tatiana Dolenko
Polymers 2024, 16(24), 3585; https://doi.org/10.3390/polym16243585 (registering DOI) - 21 Dec 2024
Viewed by 315
Abstract
The effective use of polymer carbon dots (PCD) in various fields of science and technology requires a more detailed understanding of the mechanisms of their photoluminescence formation and change as a result of their interaction with the environment. In this study, PCD synthesized [...] Read more.
The effective use of polymer carbon dots (PCD) in various fields of science and technology requires a more detailed understanding of the mechanisms of their photoluminescence formation and change as a result of their interaction with the environment. In this study, PCD synthesized via a hydrothermal method from citric acid and ethylenediamine are studied in various solvents using FTIR spectroscopy, optical absorption spectroscopy, and photoluminescence spectroscopy. As a result of the analysis of the obtained dependencies of such PCD spectral characteristics as the photoluminescence FWHM, the photoluminescence quantum yield, the photoluminescence lifetime on the acidity and basicity of the solvent, a hypothesis was formulated on the formation mechanism of hydrogen bonds between the PCD surface groups and the molecules of the environment, and conclusions were made about the donor–acceptor nature of the synthesized PCD. Full article
(This article belongs to the Section Polymer Physics and Theory)
Show Figures

Figure 1

Figure 1
<p>FTIR absorption spectra of PCD powders with varying nitrogen content evaporated from water.</p>
Full article ">Figure 2
<p>PL and optical absorption spectra of all PCD in water (<b>a</b>,<b>c</b>) and isopropanol (<b>b</b>,<b>d</b>), and PL and optical absorption spectra of PCD with EDA:CA = 0.1 (<b>e</b>,<b>g</b>) and EDA:CA = 20 (<b>f</b>,<b>h</b>) in all the studied solvents.</p>
Full article ">Figure 2 Cont.
<p>PL and optical absorption spectra of all PCD in water (<b>a</b>,<b>c</b>) and isopropanol (<b>b</b>,<b>d</b>), and PL and optical absorption spectra of PCD with EDA:CA = 0.1 (<b>e</b>,<b>g</b>) and EDA:CA = 20 (<b>f</b>,<b>h</b>) in all the studied solvents.</p>
Full article ">Figure 3
<p>Dependence of the PL Stokes shift on the orientational polarizability of the solvent for all samples. The values of Δ<span class="html-italic">f</span> are presented in <a href="#polymers-16-03585-t001" class="html-table">Table 1</a>.</p>
Full article ">Figure 4
<p>Dependencies of the PCD photoluminescence FWHM and PLQY on the acidity (<b>a</b>,<b>c</b>) and basicity (<b>b</b>,<b>d</b>) of the solvent. The errors in the calculated PLQY and measured PL FWHM are 3% and 2% of the corresponding values of these parameters for all PCD solutions.</p>
Full article ">Figure 5
<p>PCD photoluminescence decay kinetics in different solvents.</p>
Full article ">Figure 6
<p>Dependencies of the PCD PL lifetimes on the acidity and basicity of the solvents (errors in the calculated PCD PL lifetimes are 0.3% of the calculated values for all solutions).</p>
Full article ">Figure 7
<p>Dependencies of the F1 and F2 percentage contributions into the total PCD PL intensity on the acidity and basicity of the solvent (errors in the calculated contributions are 0.5% of the contributions themselves for all solutions).</p>
Full article ">Figure 8
<p>FTIR absorption spectra of PCD (class PCD1) treated with different solvents. On the right is an enlarged fragment of the FTIR spectra in the 1650–1800 cm<sup>−1</sup> region, normalized to the maximum of the band for visual clarity.</p>
Full article ">Figure 9
<p>Dependencies of the polymer carbon dots PL FWHM and PLQY on the C=O band peak position in the FTIR absorption spectra for PCD1 solutions (sample with a precursor ratio of 0.1:1).</p>
Full article ">
13 pages, 3115 KiB  
Article
Near-Field Direct Write Electrospinning of PET-Carbon Quantum Dot Solutions
by Fatemeh Mohtaram, Michael Petersen, Maria Ahrenst-Mortensen, Liva Skou Boysen, Frederik Hejgaard Gram, Helene Halsen Malling, Noah Frederik Hallundbæk Bang, Yan Jurg Hess and Peter Fojan
Materials 2024, 17(24), 6242; https://doi.org/10.3390/ma17246242 - 20 Dec 2024
Viewed by 308
Abstract
Electrospinning of polymer material has gained a lot of interest in the past decades. Various methods of electrospinning have been applied for different applications, from needle electrospinning to needleless electrospinning. A relatively new variation of electrospinning, namely near-field electrospinning, has been used to [...] Read more.
Electrospinning of polymer material has gained a lot of interest in the past decades. Various methods of electrospinning have been applied for different applications, from needle electrospinning to needleless electrospinning. A relatively new variation of electrospinning, namely near-field electrospinning, has been used to generate well-defined patterns. This variation of electrospinning, also known as near-field direct-write electrospinning, allows for precise control of the fiber deposition, sacrificing on the thickness of the resulting fibers. Typically, for this method, melt electrospinning is preferred, since it provides a higher viscosity of the polymer and thereby better control of the fiber deposition. However, when mixing additives into the spinning dope, a solution spinning approach is preferable since it provides a more homogeneous distribution of the additives in the spinning dope. A fluorescent spinning dope of dissolved PET with fluorescent carbon quantum dots has been used to generate the fluorescent patterns. These can be used to generate logos, bar codes, or QR codes to encode information about the material, such as watermarks or counterfeiting tags. Full article
(This article belongs to the Special Issue Recent Advances in Nanomaterials for Biomedical Applications)
Show Figures

Figure 1

Figure 1
<p>The near-field direct-write electrospinning setup writing a QR code from a 40% PET/TFA solution.</p>
Full article ">Figure 2
<p>Photoluminescence characterization of the produced carbon quantum dots. (<b>a</b>) UV/spectroscopy results depicting the intensity of light absorbance (au) with respect to wavelength. (<b>b</b>) fluorescence spectrometry emission spectrum for 410 <math display="inline"><semantics> <mi mathvariant="normal">n</mi> </semantics></math><math display="inline"><semantics> <mi mathvariant="normal">m</mi> </semantics></math> excitation wavelength, showing emission maxima at 529 <math display="inline"><semantics> <mi mathvariant="normal">n</mi> </semantics></math><math display="inline"><semantics> <mi mathvariant="normal">m</mi> </semantics></math>. (<b>c</b>) fluorescence spectrometry excitation spectrum for emission of 529 <math display="inline"><semantics> <mi mathvariant="normal">n</mi> </semantics></math><math display="inline"><semantics> <mi mathvariant="normal">m</mi> </semantics></math> wavelength.</p>
Full article ">Figure 3
<p>DLS distribution of CQD measurements conducted at a second time, x-axis in logarithmic scale. Inset: Histogram of the mean diameter estimations from DLS measurement with a red line indicating the average mean diameter estimation at 185 nm.</p>
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<p>(<b>a</b>) SEM image of fibers created from a spinning dope of 35% PET in 30:70 DCM/TFA with 0.1% CQDs, a distance of 5 mm, a voltage of 2.43 kV, and a flow rate of 0.8 mL/h. The temperature was 20.5 °C, and the relative humidity was 40.1%. (<b>b</b>) Fiber radii distribution of SEM image measured in μm. The average fiber radius was measured to be 33.75 ± 4.59 μm.</p>
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<p>(<b>a</b>) SEM image of fibers created from a spinning dope of 35% PET in 30:70 DCM/TFA, a distance of 4 mm, a voltage of 2.55 kV, and a flow rate of 0.6 mL/h. The temperature was 21.5 °C, and the relative humidity was 34%. (<b>b</b>) Fiber radii distribution of SEM image measured in μm. The average fiber radius was measured to be 19.11 μm ± 4.04.</p>
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<p>(<b>a</b>) SEM image of fibers created from a spinning dope of 35% PET in 30:70 DCM/TFA with 0.1% CQDs, a distance of 5 mm, a voltage of 2.43 kV, and a flow rate of 0.8 mL/h. The temperature was 20 °C, and the relative humidity was 41.1%. (<b>b</b>) Fiber radii distribution of SEM image measured in μm. The average fiber radius was measured to be 29.09 μm ± 7.67.</p>
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<p>A fluorescent AAU logo on aluminum foil, in UV light. Fibers created from a spinning dope of 40% PET in 30:70 DCM/TFA with 0.2% cQDs, electrospun at a distance of 4 mm, a voltage of 2.6 kV, and a flow rate of 0.8 mL/h at room temperature and a relative humidity of 36%.</p>
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<p>AAU logo was spun (<b>a</b>): Under UV light, in ambient light. (<b>b</b>): Only UV light, and without ambient light, and (<b>c</b>): Only ambient light, and no UV light. With 30% PET in 30:70 DCM/TFA and 0.05% CQDs, spinning dope, made in near-field encased in nonwoven CA mat of 12.5% CA in acetone spinning dope, made in far-field.</p>
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<p>QR code created from a spinning dope of 28% PET and 0.05% CQDs in TFA, a spinning distance of 2 mm to 2.5 mm, voltage of 1.5 kV, flow rate of 0.55 mL/h and needle diameter of 2 mm. The temperature was 21.5 °C and the relative humidity was 47%. This QR code is approximately 150 × 150 mm in size.</p>
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9 pages, 2086 KiB  
Article
White Light-Emitting Flexible Displays with Quantum-Dot Film and Greenish-Blue Organic Light-Emitting Diodes
by Young Woo Kim, Seojin Kim, Chaeyeong Lee, Joo Hyun Jeong, Yun Hyeok Jeong, Yuhwa Bak, Seo Hyeon Kim, Sung Jin Park, Ko Eun Ham, Doeun Lee, Junpyo Song, Youngjin Song, Seung-Chan Jung, Oh Kwan Kwon, Jae-Hee Han, Sang Jik Kwon, Eou-Sik Cho and Yongmin Jeon
Micromachines 2024, 15(12), 1518; https://doi.org/10.3390/mi15121518 - 20 Dec 2024
Viewed by 305
Abstract
White organic light-emitting diodes (OLEDs) represent a significant technology in the display industry for the achievement of full color. However, sophisticated technologies are required for white light emission. In this paper, we developed a simple white light-emitting display device using a quantum-dot (QD) [...] Read more.
White organic light-emitting diodes (OLEDs) represent a significant technology in the display industry for the achievement of full color. However, sophisticated technologies are required for white light emission. In this paper, we developed a simple white light-emitting display device using a quantum-dot (QD) film and a greenish-blue OLED. The resulting QD-OLED produced a high-purity white color with a color temperature of 6000 K (CIEx,y = 0.32, 0.34) and achieved a maximum brightness of 14,638 cd/m2 at 7 V. This paper reports the fabrication of a white light-emitting QD-OLED with a straightforward structure and technology suitable for flexible displays. Full article
(This article belongs to the Special Issue Organic Electronic-Based Devices for Biomedical Applications)
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<p>Concept and color data of QD-OLED: (<b>a</b>) schematic illustration of this work’s concept; (<b>b</b>) spectral characteristic graph against bias voltage; (<b>c</b>) CIE 1931 coordinates of QD-OLED.</p>
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<p>Schematic illustration of (<b>a</b>) manufacturing process of QD-OLED; (<b>b</b>) band diagram of OLED; (<b>c</b>) thickness and structure of QD-OLED.</p>
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<p>Electric and optical properties of various QD-OLEDs: (<b>a</b>) schematic illustration of QD-OLEDs; (<b>b</b>) emission image of QD-OLEDs; (<b>c</b>) spectral characteristics of QD-OLEDs; (<b>d</b>) voltage versus luminance graph of QD-OLEDs, (<b>e</b>) voltage versus current density graph of QD-OLEDs.</p>
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<p>Optical properties of various QD films: (<b>a</b>) schematic illustration of a QD-film; (<b>b</b>) PL characteristics of 22.5% concentration QD film; (<b>c</b>) PL characteristics of 30% concentration QD film; (<b>d</b>) spectral characteristics of various QD-OLEDs against the concentration and thickness of the QD film; (<b>e</b>) voltage vs. luminance graph of various QD-OLEDs; (<b>f</b>) CIE 1931 coordinates of various QD-OLEDs.</p>
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9 pages, 4545 KiB  
Article
Study of Thermalization Mechanisms of Hot Carriers in BABr-Added MAPbBr3 for the Top Layer of Four-Junction Solar Cells
by Yi Zhang, Huilong Chen, Junfeng Qu, Jiayu Zhang and Gavin Conibeer
Nanomaterials 2024, 14(24), 2041; https://doi.org/10.3390/nano14242041 - 19 Dec 2024
Viewed by 337
Abstract
The hot carrier multi-junction solar cell (HCMJC) is an advanced-concept solar cell with a theoretical efficiency greater than 65%. It combines the advantages of hot carrier solar cells and multi-junction solar cells with higher power conversion efficiency (PCE). The thermalization coefficient (Q [...] Read more.
The hot carrier multi-junction solar cell (HCMJC) is an advanced-concept solar cell with a theoretical efficiency greater than 65%. It combines the advantages of hot carrier solar cells and multi-junction solar cells with higher power conversion efficiency (PCE). The thermalization coefficient (Qth) has been shown to slow down by an order of magnitude in low-dimensional structures, which will significantly improve PCE. However, there have been no studies calculating the Qth of MAPbBr3 quantum dots so far. In this work, the Qth values of MAPbBr3 quantum dots and after BABr addition were calculated based on power-dependent steady-state photoluminescence (PD-SSPL). Their peak positions in PD-SSPL increased from 2.37 to 2.71 eV after adding BABr. The fitting shows that, after adding BABr, the Qth decreased from 2.64 ± 0.29 mW·K−1·cm−2 to 2.36 ± 0.25 mW·K−1·cm−2, indicating a lower relaxation rate. This is because BABr passivates surface defects, slowing down the carrier thermalization process. This work lays the foundation for the theoretical framework combining perovskite materials, which suggests that the appropriate passivation of BABr has the potential to further reduce Qth and make MAPbBr3 QDs with BABr modified more suitable as the top absorption layer of HCMJCs. Full article
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<p>XRD pattern of MAPbBr<sub>3</sub> with BABr modified.</p>
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<p>(<b>a</b>) The PL spectra for both the pristine and BABr-modified MAPbBr<sub>3</sub> samples. (<b>b</b>) The UV–vis absorption spectra curves and the Tauc plot as inset in (<b>b</b>) for both samples.</p>
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<p>PD-SSPL results in MAPbBr<sub>3</sub> QDs: (<b>a</b>) pristine and (<b>b</b>) with BABr with different power densities in mW·cm<sup>−2</sup>, where the high-energy-tail fitting region is indicated by the shaded area. Absorbed power-dependent carrier temperature for MAPbBr<sub>3</sub> QDs (<b>c</b>) pristine and (<b>d</b>) with BABr modified calculated by high-energy-tail fitting.</p>
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<p><span class="html-italic">P<sub>abs</sub></span>/<span class="html-italic">exp</span>(<span class="html-italic">−E<sub>LO</sub></span>/<span class="html-italic">k<sub>B</sub>T<sub>C</sub></span>) (mW·cm<sup>−2</sup>) as a function of Δ<span class="html-italic">T</span> (K); the gradient indicated by the blue dashed line yields the thermalization coefficient <span class="html-italic">Q<sub>th</sub></span>, with values of 2.64 ± 0.29 mW·K<sup>−1</sup>·cm<sup>−2</sup> and 2.36 ± 0.25 mW·K<sup>−1</sup>·cm<sup>−2</sup> for pristine and with BABr modified.</p>
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<p>The effects of BABr addition on thermalization and <span class="html-italic">Q<sub>th</sub></span> in MAPbBr<sub>3</sub> QDs are analyzed from different perspectives.</p>
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9 pages, 2206 KiB  
Article
Development of Model Representations of Materials with Ordered Distribution of Vacancies
by Ekaterina N. Muratova, Vyacheslav A. Moshnikov and Anton A. Zhilenkov
Crystals 2024, 14(12), 1095; https://doi.org/10.3390/cryst14121095 - 19 Dec 2024
Viewed by 242
Abstract
This paper presents an overview of research results on the physical and technological features of crystal formation with an ordered distribution of vacancies. It is noted that the composition and properties of complex chalcogenide phases are not always described by the traditional concepts [...] Read more.
This paper presents an overview of research results on the physical and technological features of crystal formation with an ordered distribution of vacancies. It is noted that the composition and properties of complex chalcogenide phases are not always described by the traditional concepts behind Kroeger’s theory. Model concepts are considered in which the carriers of properties in the crystalline state are not molecules, but an elementary crystalline element with a given arrangement of nodes with atoms and vacancies. It is established that the introduction of the term “quasi-element atom” of the zero group for a vacancy allows us to predict a number of compounds with an ordered distribution of vacancies. Examples of the analysis of peritectic multicomponent compounds and solid solutions based on them are given. Quasi-crystalline concepts are applicable to perovskite materials used in solar cells. It is shown that the photoluminescence of perovskite lead-cesium halides is determined by crystalline structural subunits i.e., the anionic octets. This is the reason for the improvement in the luminescent properties of colloidal quantum CsPbBr3 dots under radiation exposure conditions. Full article
(This article belongs to the Section Inorganic Crystalline Materials)
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<p>Triangulation of the ternary system Ag-In-S, (In<sub>2</sub>S-Ag<sub>2</sub>S<sub>3</sub> is the “four” line, In<sub>2</sub>S<sub>3</sub>-Ag<sub>2</sub>S is the “eight” line).</p>
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<p>Triangulation of the pseudo-triple system [V]-In-S, (In<sub>2</sub>S-[V]S<sub>2</sub> is the “four” line, In<sub>2</sub>S<sub>3</sub>-[V] is the “eight” line).</p>
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<p>Tetrahedration of the pseudo-quaternary system [V]-Ag-In-S. The arrow points to a known chemical compound that we have marked in <a href="#crystals-14-01095-f001" class="html-fig">Figure 1</a>.</p>
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<p>State diagram of the PbTe-Ga<sub>2</sub>Te<sub>3</sub> system.</p>
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<p>The main compounds of three-component systems of lead-cesium halides on the Gibbs triangle (underlined binary compounds do not exist for all halogens X from the series Cl, Br, I) and partial triangulation of the system using the example of CsPbCl<sub>3</sub>) [<a href="#B17-crystals-14-01095" class="html-bibr">17</a>].</p>
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<p>High-resolution transmission electron microscopy images of CsPbBr<sub>3</sub> nanocrystal [<a href="#B17-crystals-14-01095" class="html-bibr">17</a>]. (<b>a</b>) TEM images with 100 nm resolution; (<b>b</b>) TEM images with 5 nm resolution.</p>
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<p>Dynamics of changes in photoluminescence spectra during the anionic substitution of Br–I: triangles represent the time dependence of the energy corresponding to the maximum PL intensity, and dots represent the time dependence of the half-width of the PL line [<a href="#B17-crystals-14-01095" class="html-bibr">17</a>].</p>
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26 pages, 2814 KiB  
Review
Recent Advances of Strategies and Applications in Aptamer-Combined Metal Nanocluster Biosensing Systems
by Ki-Beom Kim, Sang-Ho Kim and Seung-Min Yoo
Biosensors 2024, 14(12), 625; https://doi.org/10.3390/bios14120625 - 18 Dec 2024
Viewed by 417
Abstract
Metal nanoclusters (NCs) are promising alternatives to organic dyes and quantum dots. These NCs exhibit unique physical and chemical properties, such as fluorescence, chirality, magnetism and catalysis, which contribute to significant advancements in biosensing, biomedical diagnostics and therapy. Through adjustments in composition, size, [...] Read more.
Metal nanoclusters (NCs) are promising alternatives to organic dyes and quantum dots. These NCs exhibit unique physical and chemical properties, such as fluorescence, chirality, magnetism and catalysis, which contribute to significant advancements in biosensing, biomedical diagnostics and therapy. Through adjustments in composition, size, chemical environments and surface ligands, it is possible to create NCs with tunable optoelectronic and catalytic activity. This review focuses on the integration of aptamers with metal NCs, detailing molecular detection strategies that utilise the effect of aptamers on optical signal emission of metal NC-based biosensing systems. This review also highlights recent advancements in biosensing and biomedical applications, as well as illustrative case studies. To conclude, the strengths, limitations, current challenges and prospects for metal NC-based systems were examined. Full article
(This article belongs to the Special Issue Biomaterials for Biosensing Applications)
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<p>Schematic illustration highlighting the features of aptamer and metal nanoclusters.</p>
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<p>Schematic illustration of three strategies for signal changes induced by combining aptamer with metal NCs. MOF, metal-organic framework; COF, covalent-organic framework.</p>
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<p>Sensing strategy based on signal emission changes in aptamer-linked metal NCs. (<b>A</b>) Detection of urea, ATP, estradiol using NC-loaded COF and aptamer. This system is dual-mode SERS and RRS sensor. Reproduced with permission from [<a href="#B93-biosensors-14-00625" class="html-bibr">93</a>]. Copyright 2020, Elsevier. (<b>B</b>) Detection of T-2 toxin using PAA@Arg@ATT-AuNCs NPs and aptamer–PDDA complex. This system used FRET between PAA@Arg@ATT-AuNCs (fluorescence donor) and AuNPs (energy receptor). Reproduced with permission from [<a href="#B86-biosensors-14-00625" class="html-bibr">86</a>]. Copyright 2020, Elsevier. (<b>C</b>) Detection of <span class="html-italic">Salmonella typhimurium</span> using AuNCs@aptamer and TMB. This system enables simultaneous binding of bacteria to both the aptamer@AuNCs and TMB, facilitating peroxidase-like activity due to the increased proximity of these interactions. Reproduced with permission from [<a href="#B91-biosensors-14-00625" class="html-bibr">91</a>]. Copyright 2020, Elsevier. (<b>D</b>) Detection of two different mycotoxins (aflatoxin B1 and zearalenone) using FRET between the AuNCs and WS<sub>2</sub> quencher. Reproduced with permission from [<a href="#B63-biosensors-14-00625" class="html-bibr">63</a>]. Copyright 2019, American Chemical Society. NC, nanocluster; ATP, adenosine triphosphate; COF, covalent-organic framework; PAA, polyacrylic acid; ATT, 6-aza-2-thiothymine; PDDA, poly (diallyldimethylammonium chloride); TMB, tetramethylbenzidine.</p>
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<p>Sensing strategy based on signal changes in metal NC produced by aptamer-linked DNA template. (<b>A</b>) Detection of Pb<sup>2+</sup> using a scaffold of the AgNC formation template fused with aptamer to form G-quadruplex structure in the presence of target. Reproduced with permission from [<a href="#B99-biosensors-14-00625" class="html-bibr">99</a>]. Copyright 2018, Elsevier. (<b>B</b>) Detection of kanamycin using the scaffolds consisting of two split aptamer and Cu/Ag bimetal NC formation templates. Reproduced with permission from [<a href="#B103-biosensors-14-00625" class="html-bibr">103</a>]. Copyright 2022, Elsevier. (<b>C</b>) Detection of T-2 toxin using a scaffold containing an aptamer, a T-linker and an AgNC template. This system also used FRET between MoS<sub>2</sub> nanosheets (fluorescence acceptor) and the aptamer–AgNCs (fluorescence donor). Reproduced with permission from [<a href="#B64-biosensors-14-00625" class="html-bibr">64</a>]. Copyright 2018, Elsevier. (<b>D</b>) Detection of ZEN using a scaffold consisting of an AgNC template, an aptamer and a G-rich domain. This system uses of FRET between the aptamer–AgNCs and porous Fe<sub>3</sub>O<sub>4</sub>/C acting on quenching of fluorescence and the easy separation. Reproduced with permission from [<a href="#B100-biosensors-14-00625" class="html-bibr">100</a>]. Copyright 2021, Elsevier. (<b>E</b>) Detection of three different tumour biomarkers (mucin 1, carcinoembryonic antigen and cancer antigen 125), using a scaffold consisting of the same NC nucleation sequence and different aptamer sequences exhibiting different emission wavelengths for the detection of three molecules. This system used FRET between Ag/Au bimetallic NCs (donor) and GOx nanosheets (quencher). Reproduced with permission from [<a href="#B59-biosensors-14-00625" class="html-bibr">59</a>]. Copyright 2018, Elsevier. (<b>F</b>) Detection of MUC1 using a scaffold consisting of C-rich template and aptamer with G-rich sequence at the end. Reproduced with permission from [<a href="#B112-biosensors-14-00625" class="html-bibr">112</a>]. Copyright 2019, Elsevier. NC, nanocluster; CA125, cancer antigen 125; CEA, carcinoembryonic antigen; MUC1, mucin 1; APT, aptamer.</p>
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<p>Sensing strategy based on signal changes in metal NCs induced by aptamer–DNA template hybridisation. (<b>A</b>) Detection of two different bacterial cells (<span class="html-italic">Staphylococcus aureus</span> and <span class="html-italic">Escherichia coli</span>) using AgNC bound with hybrid DNA of NC scaffold and bacteria-specific aptamer. This system used the antibacterial effect of AgNC and enhanced AgNC fluorescence via electrospinning to PLA, forming nanofilms. Reproduced with permission from [<a href="#B107-biosensors-14-00625" class="html-bibr">107</a>]. Copyright 2021, American Chemical Society. (<b>B</b>) Detection of ZEN using dual-signal amplification mechanism based on TdT amplification and CuNC fluorescence enhancement. Reproduced with permission from [<a href="#B76-biosensors-14-00625" class="html-bibr">76</a>]. Copyright 2024, Elsevier. (<b>C</b>) Detection of ochratoxin A using aptamer serving as both the recognition and quenching reagent. This system used scaffold sequences screened for emitting or quenching fluorescence. Reproduced with permission from [<a href="#B106-biosensors-14-00625" class="html-bibr">106</a>]. Copyright 2023, Elsevier. NC, nanocluster; PLA, polylactic acid; ZEN, zearalenone; SMB, streptavidin-coated magnetic bead; TdT, terminal deoxynucleotidyl transferase; OTA, ochratoxin A.</p>
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13 pages, 5532 KiB  
Article
Enhancement of Mechanical and Chloride Binding Properties in Seawater Cement Using a Novel Carbon Nanomaterial
by Yin Hu, Tianyao Hong, Sheng Zhou, Chuang He, Haijie He and Shifang Wang
Buildings 2024, 14(12), 4020; https://doi.org/10.3390/buildings14124020 - 18 Dec 2024
Viewed by 429
Abstract
Chloride binding technology can effectively reduce the content of free chloride ions in seawater (used for cementitious materials), thereby extending the service life of seawater concrete structures. Currently, affordable and highly dispersed nanomaterials that can enhance the chloride binding capability of seawater cement [...] Read more.
Chloride binding technology can effectively reduce the content of free chloride ions in seawater (used for cementitious materials), thereby extending the service life of seawater concrete structures. Currently, affordable and highly dispersed nanomaterials that can enhance the chloride binding capability of seawater cement are finite. This paper presents the first experimental study on N-doped graphene quantum dots (NGQDs), an innovative carbon nanomaterial with low price and high dispersibility, to strengthen the mechanical and chloride binding capabilities of seawater cement. Concretely, NGQDs are prepared through the hydrothermal process. The morphology and structure of NGQDs are measured by TEM, AFM, FTIR, and XPS. And the strengths and chloride binding performance of different specimens are analyzed by compressive/flexural strength tests and chloride adsorption equilibrium tests. The phase compositions of various specimens are analyzed by XRD, TGA/DTG, and SEM. The consequences indicate that the unique structure of the prepared NGQDs endows them with excellent water solubility and dispersibility. Notably, the introduction of NGQDs enhances the mechanical performance of seawater cement and 0.05 wt.% NGQDs have the greatest improvement effect. The compressive and flexural strengths of seawater cement containing 0.05 wt.% NGQDs increase by 8.21% and 25.77% after 28 d curing, respectively. Additionally, the seawater cement containing 0.2 wt.% NGQDs have the best chloride binding capability and are 41.08% higher than the blank group. More importantly, the chloride binding mechanism is that NGQDs accelerate seawater cement hydration, resulting in an increased formation of hydrated calcium silicate (C–S–H) and Friedel’s salt (Fs), thereby strengthening the physisorption and chemical combination of chloride. This study highlights an inexpensive and highly dispersible nanomaterial to heighten the stability of seawater concrete structures, opening up a new path for the better utilization of seawater resources. Full article
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<p>(<b>a</b>) NGQDs powder; (<b>b</b>) TEM, (<b>c</b>) AFM, and (<b>d</b>) Raman spectra of NGQDs.</p>
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<p>(<b>a</b>) FTIR spectra and (<b>b</b>–<b>d</b>) high-resolution XPS: C1s, O1s, and N1s of NGQDs.</p>
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<p>(<b>a</b>) Compressive and (<b>b</b>) flexural strengths of various groups after curing for 28 d.</p>
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<p><span class="html-italic">C</span><sub>b</sub> values of different groups after a 24 h soak in DI water.</p>
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<p>XRD patterns of diverse groups after a 24 h soak in DI water.</p>
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<p>(<b>a</b>) TGA and (<b>b</b>) DTG of diverse groups after a 24 h soak in DI water.</p>
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<p>SEM images of various groups after a 24 h soak in DI water: (<b>a</b>) C0, (<b>b</b>) C2, and (<b>c</b>) C4.</p>
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<p>Chloride binding mechanism of seawater cement: (<b>a</b>) without NGQDs and (<b>b</b>) with NGQDs.</p>
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13 pages, 4527 KiB  
Article
Study on the Synthesis and Electrochemical Properties of Nitrogen-Doped Graphene Quantum Dots
by Yongbo Wang, Yanxiang Wang, Dongming Liu, Yanqiu Feng, Deli Yang, Simeng Wu, Haotian Jiang, Donglong Wang and Shishuai Bi
Materials 2024, 17(24), 6163; https://doi.org/10.3390/ma17246163 - 17 Dec 2024
Viewed by 334
Abstract
Nitrogen-doped graphene quantum dots (N-GQDs) are widely used in biosensing, catalysis, and energy storage due to their excellent conductivity, high specific surface area, unique quantum size effects, and optical properties. In this paper, we successfully synthesized N-GQDs using a facile hydrothermal approach and [...] Read more.
Nitrogen-doped graphene quantum dots (N-GQDs) are widely used in biosensing, catalysis, and energy storage due to their excellent conductivity, high specific surface area, unique quantum size effects, and optical properties. In this paper, we successfully synthesized N-GQDs using a facile hydrothermal approach and investigated the effects of different hydrothermal temperatures and times on the morphology and structure of N-GQDs. The results indicated that the size of N-GQDs gradually increased and they eventually aggregated into graphene fragments with increasing temperature or reaction time. Notably, N-GQDs synthesized at 180 °C for 6 h exhibited the most uniform size, with an average diameter of approximately 3.48 nm, a height of 5–6 graphene layers, as well as favorable fluorescence properties. Moreover, the surface of N-GQDs contained abundant oxygen- and nitrogen-containing functional groups, which could provide numerous active sites for electrode reactions. The assembled electrode exhibited typical pseudocapacitive behavior with exceptional electrochemical performance, achieving a specific capacitance of 102 F g−1 at a current density of 1 A g−1. In a 10,000-cycle test, the electrode demonstrated excellent cycling stability with a capacitance retention rate of 78.5%, which laid the foundation for practical application of the electrode. This work successfully applied N-GQDs in supercapacitors, offering new insights into their development for the energy storage field. Full article
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<p>Process diagram of N-GQDs.</p>
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<p>(<b>a</b>) N-GQD solutions under different hydrothermal conditions; (<b>b</b>,<b>b<sub>1</sub></b>) N-GQD solutions at different temperatures under normal light and 365 nm ultraviolet lamp; (<b>c</b>,<b>c<sub>1</sub></b>) N-GQD solutions at different times under normal light and 365 nm ultraviolet lamp.</p>
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<p>(<b>a</b>) UV spectra of N-GQDs; (<b>b</b>) Zeta potentials of N-GQDs.</p>
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<p>TEM images of N-GQDs. (<b>a</b>) N-GQDs-1; (<b>b</b>) N-GQDs-2; (<b>c</b>) N-GQDs-3; (<b>d</b>) N-GQDs-4; (<b>e</b>) N-GQDs-5; (<b>f</b>) N-GQDs-6.</p>
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<p>(<b>a</b>) TEM image of N-GQDs-2, with the FFT image of the red area in the upper right corner; (<b>b</b>–<b>b<sub>3</sub></b>) EDS images of N-GQDs-2; (<b>c</b>) XRD pattern of N-GQDs-2; (<b>d</b>) Raman spectrum of N-GQDs-2; (<b>e</b>) infrared spectrum of N-GQDs-2; (<b>f</b>) XPS spectrum of N-GQDs-2.</p>
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<p>(<b>a</b>) CV curves of the N-GQDs-2 electrode at different voltage windows; (<b>b</b>) CV curves of N-GQDs-2 electrode; (<b>c</b>) linear fitting line between current and voltage; (<b>d</b>) the contribution ratios of pseudocapacitance of N-GQDs-2 at different scanning speeds; (<b>e</b>) GCD curves of N-GQDs-2; (<b>f</b>) EIS curve of N-GQD-2; (<b>g</b>) specific capacitance of N-GQDs-2; (<b>h</b>) cycling curve of N-GQDs-2.</p>
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<p>(<b>a</b>) CV curves of ACS; (<b>b</b>) GCD curves of ASC; (<b>c</b>) specific capacitance of ASC; (<b>d</b>) cycling curve of ASC.</p>
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15 pages, 9112 KiB  
Article
Efficient Dye Contaminant Elimination and Simultaneous Electricity Production via a Carbon Quantum Dots/TiO2 Photocatalytic Fuel Cell
by Zixuan Feng, Xuechen Li, Yueying Lv and Jie He
Crystals 2024, 14(12), 1083; https://doi.org/10.3390/cryst14121083 - 16 Dec 2024
Viewed by 359
Abstract
Conventional wastewater treatment methods do not fully utilize the energy in wastewater. This study uses a photocatalytic fuel cell (PFC) to remove dye impurities and generate electricity with that energy. Pt serves as the PFC’s cathode, while the carbon quantum dots (CQDs)/anatase TiO [...] Read more.
Conventional wastewater treatment methods do not fully utilize the energy in wastewater. This study uses a photocatalytic fuel cell (PFC) to remove dye impurities and generate electricity with that energy. Pt serves as the PFC’s cathode, while the carbon quantum dots (CQDs)/anatase TiO2 (A-TiO2) serve as its photoanode. The visible light absorption range of A-TiO2 can be increased by combining CQDs with A-TiO2. The composite of CQD and A-TiO2 broadens the absorption edge from 364 nm to 538 nm. TiO2’s different crystal structures and particle sizes impact the PFC’s power generation and dye contaminant removal. The 30 min photodegradation rate of methylene blue by the 20 nm A-TiO2 was 97.3%, higher than that of the 5 nm A-TiO2 (75%), 100 nm A-TiO2 (92.1%), and A-TiO2 (93%). The photocurrent density of the 20 nm A-TiO2 can reach 4.41 mA/cm2, exceeding that of R-TiO2 (0.64 mA/cm2), 5 nm A-TiO2 (1.97 mA/cm2), and 100 nm A-TiO2 (3.58 mA/cm2). The photodegradative and electrochemical test results show that the 20 nm A-TiO2 delivers a better degradation and electrochemical performance than other samples. When the 20 nm A-TiO2 was used in the PFC photoanode, the photocurrent density, open-circuit voltage, and maximum power density of the PFC were found to be 0.6 mA/cm2, 0.41 V, and 0.1 mW/cm2, respectively. The PFC prepared in this study shows a good level of performance compared to recent similar systems. Full article
(This article belongs to the Special Issue Synthesis and Properties of Photocatalysts)
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Graphical abstract

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<p>XRD of R-TiO<sub>2</sub>, A-TiO<sub>2</sub>, and 10% CQDs/A-TiO<sub>2</sub>.</p>
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<p>SEM images of (<b>a</b>) A-TiO<sub>2</sub> and (<b>b</b>) 10% CQDs/A-TiO<sub>2</sub>; TEM images of (<b>c</b>) TiO<sub>2</sub> and (<b>d</b>) 10% CQDs/A-TiO<sub>2</sub>.</p>
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<p>The A-TiO<sub>2</sub> and 10% CQDs/A-TiO<sub>2</sub> XPS spectra: (<b>a</b>) survey spectra, (<b>b</b>) O 1s, (<b>c</b>) C 1s, and (<b>d</b>) Ti 2p.</p>
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<p>(<b>a</b>) Typical UV-VIS absorption spectra and (<b>b</b>) the Tauc plot of R-TiO<sub>2</sub>, A-TiO<sub>2</sub>, and 10% CQDs/A-TiO<sub>2</sub>.</p>
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<p>FTIR spectra of 10% CQDs/A-TiO<sub>2</sub>.</p>
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<p>Photodegradation curves (<b>a</b>) and pseudo-first-order rate kinetics curves of (<b>b</b>) R-TiO<sub>2</sub>, 5 nm A-TiO<sub>2</sub>, 20 nm A-TiO<sub>2</sub>, 100 nm A-TiO<sub>2</sub>, and 10% CQDs/A-TiO<sub>2</sub>.</p>
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<p>Photocurrent density profiles of (<b>a</b>) A-TiO<sub>2</sub> with different particle sizes and R-TiO<sub>2</sub> and (<b>b</b>) different ratios of CQDs/A-TiO<sub>2</sub>.</p>
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<p>PFC: (<b>a</b>) photocurrent density curve; (<b>b</b>) open-circuit voltage curve; (<b>c</b>) polarization curve; (<b>d</b>) power density curve.</p>
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<p>Photodegradation curves of PFC at different voltages.</p>
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17 pages, 1261 KiB  
Article
Spatial Entanglement Between Electrons Confined to Rings
by Orion Ciftja, Josep Batle, Mahmoud Abdel-Aty, Mohamed Ahmed Hafez and Shawkat Alkhazaleh
Symmetry 2024, 16(12), 1662; https://doi.org/10.3390/sym16121662 - 16 Dec 2024
Viewed by 362
Abstract
We study systems of two and three electrons confined to circular rings. The electrons are considered spinless, and we assume that one electron occupies a single ring. We use the framework of such a model to calculate the linear entropy and, thus, the [...] Read more.
We study systems of two and three electrons confined to circular rings. The electrons are considered spinless, and we assume that one electron occupies a single ring. We use the framework of such a model to calculate the linear entropy and, thus, the spatial entanglement between the confined electrons. The geometry of the problem for the case of two electrons incorporates situations in which the planes of the two rings form an arbitrary angle with each other. The resulting Schrödinger’s equation is solved numerically with very high accuracy by means of the exact diagonalization method. We compute the ground state energy and entanglement for all configurations under consideration. We also study the case of three electrons confined to identical, parallel and concentric rings which are located in three different equidistant planes. The vertically separated system of rings is allowed to gradually merge into a single ring geometry, which would represent the equivalent system of a ring with three electrons. It is observed that the system of three electrons gives rise to a richer structure, as the three rings merge into a single one. Full article
(This article belongs to the Special Issue Feature Papers in Section "Engineering and Materials" 2024)
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Figure 1

Figure 1
<p>(Color online) Relative position and geometry of two rings with radii <math display="inline"><semantics> <msub> <mi>R</mi> <mn>1</mn> </msub> </semantics></math> and <math display="inline"><semantics> <msub> <mi>R</mi> <mn>2</mn> </msub> </semantics></math>. Each of the rings contains one electron. The planes of the rings may be tilted relative to each other by an angle of <math display="inline"><semantics> <mi>α</mi> </semantics></math>. Furthermore, the geometry of the system may range from coplanar to vertically separated (and tilted) double rings. A lateral view is also shown for clarification purposes. See text for details.</p>
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<p>(Color online) (<b>a</b>) Plot for the ground state wave function for <math display="inline"><semantics> <mrow> <msub> <mi>R</mi> <mn>1</mn> </msub> <mo>=</mo> <mstyle scriptlevel="0" displaystyle="true"> <mfrac> <mn>13</mn> <mn>7</mn> </mfrac> </mstyle> <msqrt> <mrow> <mn>3</mn> <mo>(</mo> <mn>13</mn> <mo>−</mo> <msqrt> <mn>78</mn> </msqrt> <mo>)</mo> </mrow> </msqrt> </mrow> </semantics></math>, <math display="inline"><semantics> <mrow> <msub> <mi>R</mi> <mn>2</mn> </msub> <mo>=</mo> <mstyle scriptlevel="0" displaystyle="true"> <mfrac> <mn>13</mn> <mn>7</mn> </mfrac> </mstyle> <msqrt> <mrow> <mn>3</mn> <mo>(</mo> <mn>13</mn> <mo>+</mo> <msqrt> <mn>78</mn> </msqrt> <mo>)</mo> </mrow> </msqrt> </mrow> </semantics></math>, <math display="inline"><semantics> <mrow> <mi>H</mi> <mo>=</mo> <mn>0</mn> </mrow> </semantics></math> and <math display="inline"><semantics> <mrow> <mi>α</mi> <mo>=</mo> <mn>0</mn> </mrow> </semantics></math>. (<b>b</b>) Similar plot for <math display="inline"><semantics> <mrow> <msub> <mi>R</mi> <mn>1</mn> </msub> <mo>=</mo> <msub> <mi>R</mi> <mn>2</mn> </msub> <mo>=</mo> <mi>R</mi> <mo>=</mo> <mstyle scriptlevel="0" displaystyle="true"> <mfrac> <mrow> <msup> <mn>13</mn> <mrow> <mn>3</mn> <mo>/</mo> <mn>4</mn> </mrow> </msup> <msqrt> <mn>3</mn> </msqrt> </mrow> <msup> <mn>7</mn> <mrow> <mn>1</mn> <mo>/</mo> <mn>4</mn> </mrow> </msup> </mfrac> </mstyle> </mrow> </semantics></math>, <math display="inline"><semantics> <mrow> <mi>H</mi> <mo>=</mo> <mi>R</mi> <mstyle scriptlevel="0" displaystyle="true"> <mfrac> <mrow> <msqrt> <mn>2</mn> </msqrt> <msqrt> <mrow> <msqrt> <mn>13</mn> </msqrt> <mo>−</mo> <msqrt> <mn>7</mn> </msqrt> </mrow> </msqrt> </mrow> <msup> <mn>7</mn> <mrow> <mn>1</mn> <mo>/</mo> <mn>4</mn> </mrow> </msup> </mfrac> </mstyle> </mrow> </semantics></math> and <math display="inline"><semantics> <mrow> <mi>α</mi> <mo>=</mo> <mn>0</mn> </mrow> </semantics></math>. The two plots look very similar because the obtained corresponding coefficients <math display="inline"><semantics> <msub> <mi>c</mi> <mrow> <mi>k</mi> <mo>,</mo> <mi>l</mi> </mrow> </msub> </semantics></math> have very small differences. See text for details.</p>
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<p>(Color online) Plot of the linear entropy (entanglement) <math display="inline"><semantics> <mi mathvariant="script">E</mi> </semantics></math> between the two electrons when the corresponding rings are coplanar and concentric with <math display="inline"><semantics> <mrow> <msub> <mi>R</mi> <mn>1</mn> </msub> <mo>=</mo> <mn>1</mn> </mrow> </semantics></math> and <math display="inline"><semantics> <msub> <mi>R</mi> <mn>2</mn> </msub> </semantics></math>, which increases its value. In this semi-logarithmic plot (with the axis of <math display="inline"><semantics> <msub> <mi>R</mi> <mn>2</mn> </msub> </semantics></math> shown in a logarithmic scale), we can identify a region where an exponential decay takes place. The inset depicts the ground state energy <math display="inline"><semantics> <msub> <mi>E</mi> <mn>0</mn> </msub> </semantics></math> as a function of <math display="inline"><semantics> <msub> <mi>R</mi> <mn>2</mn> </msub> </semantics></math> alongside with the classical result (lower curve). See text for details.</p>
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<p>(Color online) Plot of the linear entropy (entanglement) <math display="inline"><semantics> <mi mathvariant="script">E</mi> </semantics></math> between the two electrons and ground state energy of the system <math display="inline"><semantics> <msub> <mi>E</mi> <mn>0</mn> </msub> </semantics></math> as a function of the vertical separation distance <span class="html-italic">H</span> between the two rings. The value of <span class="html-italic">H</span> changes from 0 to a maximum of <math display="inline"><semantics> <mrow> <mn>1.8</mn> </mrow> </semantics></math>. See text for details.</p>
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<p>(Color online) Plot of the linear entropy (entanglement) <math display="inline"><semantics> <mi mathvariant="script">E</mi> </semantics></math> as a function of <span class="html-italic">R</span> for two electrons in coplanar concentric rings with radii that grow in such a way that <math display="inline"><semantics> <mrow> <msub> <mi>R</mi> <mn>1</mn> </msub> <mo>=</mo> <mi>R</mi> </mrow> </semantics></math>, <math display="inline"><semantics> <mrow> <msub> <mi>R</mi> <mn>2</mn> </msub> <mo>=</mo> <mi>R</mi> <mo>+</mo> <mn>0.01</mn> </mrow> </semantics></math> under the constraint <math display="inline"><semantics> <mrow> <msub> <mi>R</mi> <mn>2</mn> </msub> <mo>−</mo> <msub> <mi>R</mi> <mn>1</mn> </msub> <mo>=</mo> <mn>0.01</mn> </mrow> </semantics></math>. In this case, <span class="html-italic">R</span> is the variable. This constraint is imposed in order to have two rings with almost the same radius. The axis of <span class="html-italic">R</span> is shown in a logarithmic scale. It is the only instance considered where the entanglement between the electrons increases as the radius <math display="inline"><semantics> <mrow> <msub> <mi>R</mi> <mn>1</mn> </msub> <mo>=</mo> <mi>R</mi> </mrow> </semantics></math> of the inner ring increases. Also, note in the inset how close the ground state energy <math display="inline"><semantics> <msub> <mi>E</mi> <mn>0</mn> </msub> </semantics></math> is to its classical counterpart (lower curve). See text for details.</p>
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<p>(Color online) Ground state energy <math display="inline"><semantics> <msub> <mi>E</mi> <mn>0</mn> </msub> </semantics></math> and linear entropy (entanglement) <math display="inline"><semantics> <mi mathvariant="script">E</mi> </semantics></math> as a function of tilting angle <math display="inline"><semantics> <mi>α</mi> </semantics></math> ranging from 0 to <math display="inline"><semantics> <mi>π</mi> </semantics></math> shown as a semi-logarithmic plot (with the axis of <math display="inline"><semantics> <mi>α</mi> </semantics></math> shown in a logarithmic scale). This geometric configuration has not been considered previously in the literature. See text for details.</p>
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<p>(Color online) Plot of the first three eigen-energies <span class="html-italic">E</span> for the system of three electrons as function of the distance between planes <span class="html-italic">H</span>. The axis of <span class="html-italic">H</span> is shown in a logarithmic scale. The first and second excited states are degenerate and, thus, have the same energy. There is a level crossing at some point as <span class="html-italic">H</span> decreases (detailed in the inset). See text for details.</p>
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<p>(Color online) Plot of the three pairwise entanglement quantities as the distance between planes <span class="html-italic">H</span> for the three-particle case diminishes. The axis of <span class="html-italic">H</span> is shown in a logarithmic scale. A discontinuous jump is shown due to the level crossing in energy. Normally, a level crossing arises from a phase transition or symmetry breaking. The level crossing in <a href="#symmetry-16-01662-f007" class="html-fig">Figure 7</a> indicates an abrupt change in the structure of the ground state very close to <math display="inline"><semantics> <mrow> <mi>H</mi> <mo>=</mo> <mn>0</mn> </mrow> </semantics></math>. This would be the only factor that can account for a different entanglement. See text for details.</p>
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<p>(Color online) Plot of <math display="inline"><semantics> <mrow> <mrow> <mo>|</mo> <mi mathvariant="sans-serif">Ψ</mi> </mrow> <mrow> <mo>(</mo> <msub> <mi>ϕ</mi> <mn>1</mn> </msub> <mo>,</mo> <msub> <mi>ϕ</mi> <mn>2</mn> </msub> <mo>,</mo> <msub> <mi>ϕ</mi> <mn>3</mn> </msub> <mo>)</mo> </mrow> <msup> <mrow> <mo>|</mo> </mrow> <mn>2</mn> </msup> </mrow> </semantics></math> (ground state) as a function of angle differences, <math display="inline"><semantics> <msub> <mi>ϕ</mi> <mn>2</mn> </msub> </semantics></math>−<math display="inline"><semantics> <msub> <mi>ϕ</mi> <mn>1</mn> </msub> </semantics></math> and <math display="inline"><semantics> <msub> <mi>ϕ</mi> <mn>3</mn> </msub> </semantics></math>−<math display="inline"><semantics> <msub> <mi>ϕ</mi> <mn>1</mn> </msub> </semantics></math> for a value of <math display="inline"><semantics> <mrow> <mi>H</mi> <mo>=</mo> <mn>1</mn> </mrow> </semantics></math>. Notice the central high peak value. In the light of this result, it can be argued that the three electrons have the largest overlap for nearly the same angular position. See text for details.</p>
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<p>(Color online) Plot of <math display="inline"><semantics> <mrow> <mrow> <mo>|</mo> <mi mathvariant="sans-serif">Ψ</mi> </mrow> <mrow> <mo>(</mo> <msub> <mi>ϕ</mi> <mn>1</mn> </msub> <mo>,</mo> <msub> <mi>ϕ</mi> <mn>2</mn> </msub> <mo>,</mo> <msub> <mi>ϕ</mi> <mn>3</mn> </msub> <mo>)</mo> </mrow> <msup> <mrow> <mo>|</mo> </mrow> <mn>2</mn> </msup> </mrow> </semantics></math> (ground state) as a function of the angles, <math display="inline"><semantics> <msub> <mi>ϕ</mi> <mn>1</mn> </msub> </semantics></math> and <math display="inline"><semantics> <msub> <mi>ϕ</mi> <mn>2</mn> </msub> </semantics></math> of the electrons in the two neighboring rings and <math display="inline"><semantics> <mrow> <mi>H</mi> <mo>=</mo> <mn>1</mn> </mrow> </semantics></math>. Note that the third angle <math display="inline"><semantics> <msub> <mi>ϕ</mi> <mn>3</mn> </msub> </semantics></math> runs free and takes all the possible values from 0 to <math display="inline"><semantics> <mrow> <mn>2</mn> <mspace width="0.166667em"/> <mi>π</mi> </mrow> </semantics></math>. A similar situation for small <span class="html-italic">H</span> (not shown) does not notably change the overall result. The high probability of finding any two electrons being close is apparent. See text for details.</p>
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24 pages, 3518 KiB  
Article
A Numerical Simulation Study of the Impact of Kesterites Hole Transport Materials in Quantum Dot-Sensitized Solar Cells Using SCAPS-1D
by Sindisiwe Jakalase, Azile Nqombolo, Edson L. Meyer, Mojeed A. Agoro and Nicholas Rono
Nanomaterials 2024, 14(24), 2016; https://doi.org/10.3390/nano14242016 - 15 Dec 2024
Viewed by 432
Abstract
Energy generation and storage are critical challenges for developing economies due to rising populations and limited access to clean energy resources. Fossil fuels, commonly used for energy production, are costly and contribute to environmental pollution through greenhouse gas emissions. Quantum dot-sensitized solar cells [...] Read more.
Energy generation and storage are critical challenges for developing economies due to rising populations and limited access to clean energy resources. Fossil fuels, commonly used for energy production, are costly and contribute to environmental pollution through greenhouse gas emissions. Quantum dot-sensitized solar cells (QDSSCs) offer a promising alternative due to their stability, low cost, and high-power conversion efficiency (PCE) compared to other third-generation solar cells. Kesterite materials, known for their excellent optoelectronic properties and chemical stability, have gained attention for their potential as hole transport layer (HTL) materials in solar cells. In this study, the SCAPS-1D numerical simulator was used to analyze a solar cell with the configuration FTO/TiO2/MoS2/HTL/Ag. The electron transport layer (ETL) used was titanium dioxide (TiO2), while Cu2FeSnS4 (CFTS), Cu2ZnSnS4 (CZTSe), Cu2NiSnS4 (CNTS), and Cu2ZnSnSe4 (CZTSSe) kesterite materials were evaluated as HTLs. MoS2 quantum dot served as the absorber, with FTO as the anode and silver as the back metal contact. The CFTS material outperformed the others, yielding a PCE of 25.86%, a fill factor (FF) of 38.79%, a short-circuit current density (JSC) of 34.52 mA cm−2, and an open-circuit voltage (VOC) of 1.93 V. This study contributes to the advancement of high-performance QDSSCs. Full article
(This article belongs to the Section Solar Energy and Solar Cells)
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Figure 1
<p>(<b>a</b>) Solar cell device architecture and (<b>b</b>) the band alignment between the absorber, the proposed HTLs, and the metallic back contact (Ag).</p>
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<p>J-V curves of (<b>a</b>) CFTS-, (<b>b</b>) CZTSe-, (<b>c</b>) CNTS-, and (<b>d</b>) CZTSSe-based devices.</p>
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<p>J-V curves of (<b>a</b>) CFTS-, (<b>b</b>) CZTSe-, (<b>c</b>) CNTS-, and (<b>d</b>) CZTSSe-based devices.</p>
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<p>Quantum efficiencies of (<b>a</b>) CFTS-, (<b>b</b>) CZTSe-, (<b>c</b>) CNTS-, and (<b>d</b>) CZTSSe-based devices.</p>
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<p>MoS<sub>2</sub> thickness variation with respect to PCE, FF, J<sub>SC</sub>, and V<sub>OC</sub> in different HTL materials (<b>a</b>) CFTS-, (<b>b</b>) CZTSe-, (<b>c</b>) CNTS-, and (<b>d</b>) CZTSSe-based devices.</p>
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<p>Variation of photovoltaic parameters for devices by changing defect density of an absorber in a range of 1 × 10<sup>11</sup> to 1 × 10<sup>17</sup> for devices with different HTLs: (<b>a</b>) PCE, (<b>b</b>) FF, (<b>c</b>) V<sub>oc</sub>, and (<b>d</b>) J<sub>sc.</sub></p>
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<p>Effect of variation of ETL donor density from 1 × 10<sup>14</sup> to 1 × 10<sup>20</sup> cm<sup>−3</sup> of devices with TiO<sub>2</sub> as the ETL and different HTLs: (<b>a</b>) PCE, (<b>b</b>) FF, (<b>c</b>) V<sub>oc</sub>, and (<b>d</b>) J<sub>sc</sub>.</p>
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<p>The influence of temperature of the devices containing TiO<sub>2</sub> as ETL, MoS<sub>2</sub> as an absorber, and different HTL materials: (<b>a</b>) PCE, (<b>b</b>) FF, (<b>c</b>) V<sub>oc</sub>, and (<b>d</b>) J<sub>sc</sub>.</p>
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<p>The influence of bandgap energy of the devices containing TiO<sub>2</sub> as ETL, MoS<sub>2</sub> as an absorber, and different HTL materials: (<b>a</b>) PCE, (<b>b</b>) FF, (<b>c</b>) V<sub>oc</sub>, and (<b>d</b>) J<sub>sc.</sub></p>
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<p>The influence of bandgap energy of the devices containing TiO<sub>2</sub> as ETL, MoS<sub>2</sub> as an absorber, and different HTL materials: (<b>a</b>) PCE, (<b>b</b>) FF, (<b>c</b>) V<sub>oc</sub>, and (<b>d</b>) J<sub>sc.</sub></p>
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15 pages, 4756 KiB  
Article
Low-Toxicity and High-Stability Fluorescence Sensor for the Selective, Rapid, and Visual Detection Tetracycline in Food Samples
by Jixiang Wang, Yaowei Qin, Yue Ma, Minjia Meng and Yeqing Xu
Molecules 2024, 29(24), 5888; https://doi.org/10.3390/molecules29245888 - 13 Dec 2024
Viewed by 344
Abstract
With the development and improvement of analysis and detection systems, low-toxicity and harmless detection systems have received much attention, especially in the field of food detection. In this paper, a low-toxicity dual-emission molecularly imprinted fluorescence sensor (CdTe QDs@SiO2/N-CDs@MIPs) was successfully designed [...] Read more.
With the development and improvement of analysis and detection systems, low-toxicity and harmless detection systems have received much attention, especially in the field of food detection. In this paper, a low-toxicity dual-emission molecularly imprinted fluorescence sensor (CdTe QDs@SiO2/N-CDs@MIPs) was successfully designed for highly selective recognition and visual detection of tetracycline (TC) in food samples. Specifically, the non-toxic blue-emission N-doped carbon dots (N-CDs) with high luminous performance acted as the response signals to contact TC via the covalent bond between amino and carboxyl groups. The red-emission CdTe quantum dots (CdTe QDs) were coated in silica nanospheres as stable reference signals, which effectively avoided the direct contact of CdTe QDs. Under optimum conditions, CdTe QDs@SiO2/N-CDs@MIPs had a rapid response within 1.0 min to TC, and the detection limit of CdTe QDs@SiO2/N-CDs@MIPs was calculated at 0.846 μM in the linear range of 0–140 μM. In complex environments, the CdTe QDs@SiO2/N-CDs@MIPs also exhibited excellent capabilities for the selective, rapid, and visual detection of TC. Furthermore, the accuracy of CdTe QDs@SiO2/N-CDs@MIPs to detect TC was verified by the HPLC method, and satisfactory results were obtained. Moreover, CdTe QDs@SiO2/N-CDs@MIPs showed a satisfactory recovery when measuring TC in milk and egg samples. This work provided an ideal approach for low-toxicity fluorescence sensor design and application. Full article
(This article belongs to the Special Issue New Achievements and Challenges in Food Chemistry)
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Graphical abstract

Graphical abstract
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<p>TEM images of CdTe QDs@SiO<sub>2</sub> (<b>a</b>) and CdTe QDs@SiO<sub>2</sub>/N-CDs@MIPs (<b>b</b>); SEM images of CdTe QDs@SiO<sub>2</sub>/N-CDs@MIPs (<b>c</b>,<b>d</b>).</p>
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<p>FT-IR spectra (<b>a</b>) of CdTe QDs@SiO<sub>2</sub> (black line), CdTe QDs@SiO<sub>2</sub>/N-CDs@NIPs (red line), and CdTe QDs@SiO<sub>2</sub>/N-CDs@MIPs (blue line); XRD patterns (<b>b</b>) of CdTe QDs@SiO<sub>2</sub>/N-CDs@NIPs (black line) and CdTe QDs@SiO<sub>2</sub>/N-CDs@MIPs (red line).</p>
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<p>Fluorescence spectra of N-CDs (orange line), CdTe QDs (pink line), and CdTe QDs@SiO<sub>2</sub>/N-CDs@MIPs (green line).</p>
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<p>Fluorescence intensity ratios of the CdTe QDs@SiO<sub>2</sub>/N-CDs@MIPs solution over 120 min (<b>a</b>); pH effect on the fluorescence intensity of CdTe QDs@SiO<sub>2</sub>/N-CDs@MIPs (<b>b</b>); the effect of 70 μM TC on the fluorescence intensity of CdTe QDs@SiO<sub>2</sub>/N-CDs@MIPs over time (<b>c</b>).</p>
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<p>Fluorescence spectra and visual diagrams (inset) of CdTe QDs@SiO<sub>2</sub>/N-CDs@MIPs solution (<b>a</b>) and CdTe QDs@SiO<sub>2</sub>/N-CDs@NIPs solution (<b>c</b>) with different concentrations of TC; linear relationship diagram of different concentrations of TC added to CdTe QDs@SiO<sub>2</sub>/N-CDs@MIPs solution (<b>b</b>) and CdTe QDs@SiO<sub>2</sub>/N-CDs@NIPs solution (<b>d</b>).</p>
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<p>The relative change rate of the ratio of CdTe QDs@SiO<sub>2</sub>/N-CDs@MIPs and CdTe QDs@SiO<sub>2</sub>/N-CDs@NIPs to the fluorescence intensity of TC and similar drugs (amoxicillin (A), erythromycin (B), streptomycin (C), azithromycin (D), and tetracycline (E)) under the same concentration conditions.</p>
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<p>The fluorescence intensity ratio (I<sub>447</sub>/I<sub>651</sub>) of CdTe QDs@SiO<sub>2</sub>/N-CDs@MIPs after addition of 100 μM of K<sup>+</sup>, Mg<sup>2+</sup>, Al<sup>3+</sup>, Fe<sup>3+</sup>, Zn<sup>2+</sup>, Cu<sup>2+</sup>, and TC, and 50 mM of Ca<sup>2+</sup> and Na<sup>+</sup>.</p>
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<p>(<b>a</b>) The absorption spectra of N-CDs (green line), TC (orange line), the mixture of N-CDs and TC (purple line), and the fluorescence emission spectrum of N-CDs (pink line); the transient fluorescence lifetime diagrams of N-CDs (<b>b</b>) and the mixture of N-CDs and TC (<b>c</b>).</p>
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<p>(<b>a</b>,<b>b</b>) The parameters of HPLC-UV results and the corresponding calibration curve for TC; (<b>c</b>) the HPLC-UV profiles of eggs and eggs spiked with 20 μM TC; (<b>d</b>) the HPLC-UV profiles of milk and milk spiked with 20 μM TC.</p>
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<p>The preparation flow chart of CdTe QDs@SiO<sub>2</sub>/N-CDs@MIPs.</p>
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24 pages, 3624 KiB  
Review
Recent Advances in the Adsorption of Different Pollutants from Wastewater Using Carbon-Based and Metal-Oxide Nanoparticles
by Shahabaldin Rezania, Negisa Darajeh, Parveen Fatemeh Rupani, Amin Mojiri, Hesam Kamyab and Mohsen Taghavijeloudar
Appl. Sci. 2024, 14(24), 11492; https://doi.org/10.3390/app142411492 - 10 Dec 2024
Viewed by 588
Abstract
In recent years, nanomaterials have gained special attention for removing contaminants from wastewater. Nanoparticles (NPs), such as carbon-based materials and metal oxides, exhibit exceptional adsorption capacity and antimicrobial properties for wastewater treatment. Their unique properties, including reactivity, high surface area, and tunable surface [...] Read more.
In recent years, nanomaterials have gained special attention for removing contaminants from wastewater. Nanoparticles (NPs), such as carbon-based materials and metal oxides, exhibit exceptional adsorption capacity and antimicrobial properties for wastewater treatment. Their unique properties, including reactivity, high surface area, and tunable surface functionalities, make them highly effective adsorbents. They can remove contaminants such as organics, inorganics, pharmaceuticals, medicine, and dyes by adsorption mechanisms. In this review, the effectiveness of different types of carbon-based NPs, including carbon nanotubes (CNTs), graphene-based nanoparticles (GNPs), carbon quantum dots (CQDs), carbon nanofibers (CNFs), and carbon nanospheres (CNSs), and metal oxides, including copper oxide (CuO), zinc oxide (ZnO), iron oxide (Fe2O3), titanium oxide (TiO2), and silver oxide (Ag2O), in the removal of different contaminants from wastewater has been comprehensively evaluated. In addition, their synthesis methods, such as physical, chemical, and biological, have been described. Based on the findings, CNPs can remove 75 to 90% of pollutants within two hours, while MONPs can remove 60% to 99% of dye in 150 min, except iron oxide NPs. For future studies, the integration of NPs into existing treatment systems and the development of novel nanomaterials are recommended. Hence, the potential of NPs is promising, but challenges related to their environmental impact and their toxicity must be considered. Full article
(This article belongs to the Special Issue Water Treatment: From Membrane Processes to Renewable Energies)
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<p>Different types of carbon and metal-oxide nanoparticles.</p>
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<p>Schematic of different adsorption mechanisms.</p>
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<p>Synthesis methods of NPs.</p>
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<p>Structural representation of (<b>a</b>) SWCNTs and (<b>b</b>) MWCNTs. Source: Adapted from [<a href="#B57-applsci-14-11492" class="html-bibr">57</a>].</p>
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<p>Different types of graphene nanomaterials: (<b>a</b>) graphene, (<b>b</b>) GO, (<b>c</b>) rGO, and (<b>d</b>) GQD. Source: [<a href="#B66-applsci-14-11492" class="html-bibr">66</a>].</p>
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<p>(<b>a</b>–<b>c</b>) Formation of a cup-stacked CNF structure and a (<b>d</b>) platelet CNF structure. Source: adapted from [<a href="#B84-applsci-14-11492" class="html-bibr">84</a>].</p>
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<p>Schematic of the adsorption mechanism using magnetic nanosheets. Source: [<a href="#B121-applsci-14-11492" class="html-bibr">121</a>].</p>
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<p>Different crystalline structures of TiO<sub>2</sub> nanomaterials: anatase, rutile, and brookite. The red ball represents the Ti<sup>2+</sup> ion, and the white ball is O<sub>2</sub><sup>−</sup>. Source: [<a href="#B154-applsci-14-11492" class="html-bibr">154</a>].</p>
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<p>Crystal structures of hematite, magnetite, and maghemite. Source: [<a href="#B164-applsci-14-11492" class="html-bibr">164</a>].</p>
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<p>Different cost allocations of nanomaterials in the wastewater treatment process.</p>
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17 pages, 2793 KiB  
Article
Electrochemical and Optical Multi-Detection of Escherichia coli Through Magneto-Optic Nanoparticles: A Pencil-on-Paper Biosensor
by Furkan Soysaldı, Derya Dincyurek Ekici, Mehmet Çağrı Soylu and Evren Mutlugun
Biosensors 2024, 14(12), 603; https://doi.org/10.3390/bios14120603 - 10 Dec 2024
Viewed by 734
Abstract
Escherichia coli (E. coli) detection suffers from slow analysis time and high costs, along with the need for specificity. While state-of-the-art electrochemical biosensors are cost-efficient and easy to implement, their sensitivity and analysis time still require improvement. In this work, we present a [...] Read more.
Escherichia coli (E. coli) detection suffers from slow analysis time and high costs, along with the need for specificity. While state-of-the-art electrochemical biosensors are cost-efficient and easy to implement, their sensitivity and analysis time still require improvement. In this work, we present a paper-based electrochemical biosensor utilizing magnetic core-shell Fe2O3@CdSe/ZnS quantum dots (MQDs) to achieve fast detection, low cost, and high sensitivity. Using electrochemical impedance spectroscopy (EIS) as the detection technique, the biosensor achieved a limit of detection of 2.7 × 102 CFU/mL for E. coli bacteria across a concentration range of 102–108 CFU/mL, with a relative standard deviation (RSD) of 3.5781%. From an optical perspective, as E. coli concentration increased steadily from 104 to 107 CFU/mL, quantum dot fluorescence showed over 60% lifetime quenching. This hybrid biosensor thus provides rapid, highly sensitive E. coli detection with a fast analysis time of 30 min. This study, which combines the detection advantages of electrochemical and optical biosensor systems in a graphite-based paper sensor for the first time, has the potential to meet the needs of point-of-care applications. It is thought that future studies that will aim to examine the performance of the production-optimized, portable, graphite-based sensor system on real food samples, environmental samples, and especially medical clinical samples will be promising. Full article
(This article belongs to the Section Optical and Photonic Biosensors)
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<p>Biosensor fabrication, surface modification and bacteria detection schematics.</p>
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<p>The FTIR analyses of CdSe/ZnS and CdSe/ZnS@Fe<sub>2</sub>O<sub>3</sub> nanoparticles.</p>
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<p>The Energy-dispersive X-ray spectroscopy of CdSe/ZnS@Fe<sub>2</sub>O<sub>3</sub> nanoparticles and TEM analyses.</p>
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<p>(<b>a</b>) Detection System including the PC interface, impedance analyzer and fluorescence lifetime spectrometer (not to scale). (<b>b</b>) The equivalent circuit model.</p>
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<p>(<b>a</b>) Fitted data and raw data of 5 mg MNP with 10<sup>7</sup> CFU/mL <span class="html-italic">E. coli</span> data. (<b>b</b>) Fitted data and raw data of 5 mg MQD with 10<sup>7</sup> CFU/mL <span class="html-italic">E. coli</span> MQD data. (<b>c</b>) Time dependent saturation of bacteria on 5 mg MNP. (<b>d</b>) Time dependent saturation of bacteria on 5 mg MQD.</p>
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<p>(<b>a</b>) Frequency shift responses were obtained for each step in the detection of <span class="html-italic">E. coli</span> ATCC 25922 bacteria by surface-modified QCM sensor with magnetic quantum dots (MQDs). (<b>b</b>) Dose-Response. (<b>c</b>) Specificity of the 5 mg MQD system. (<b>d</b>) Stability Test. (<b>e</b>) The average lifetime of the quantum dots for different concentrations of <span class="html-italic">E. coli</span> bound on them.</p>
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