15 March 2023, Volume 35 Issue 1
    

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  • LIU Jingyi , ZHANG Leilei , WU Binbin , TAO Yu , FAN Chunmei , Lei Li
    Chinese Journal of Light Scattering. 2023, 35(1): 1-7. https://doi.org/10.13883/j.issn1004-5929.202301001
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    The electronic topological transition (ETT) of the 5d transition metal element osmium (Os) at high pressure has been controversial. So far, there are no other experimental reports that can support the presence of high-pressure ETT in Os, except for some X-ray diffraction data based on high-pressure synchrotron radiation. In this paper, we study the lattice dynamics behavior of metal Os under high pressure in the pressure range of 0~220 GPa, based on the comparative spectroscopy principle. The analysis showed that the pressure coefficient(/dP)of E2g Raman mode in Os was mutated at ~ 110 GPa, and the mode-Grüneisen parameter (γi) produced a corresponding sudden drop. The position of the mutations in the depressed Raman phonon and mode-Grüneisen parameters is close to the anomalous point of the high-pressure synchrotron radiation diffraction experiment, which is most likely related to the Os undergoing ETT at high pressure. The anomalies of the Raman phonon and mode-Grüneisen parameters under high pressure reveals the possible ETT of Os at high pressure. Here we discuss the ETT properties of Os from the perspective of lattice dynamics, providing evidence of Raman spectroscopy for the pressure-induced ETT in Os.
  • YU Hongyan, CHEN Danyu, SUN Huanhuan, SONG Yanping
    Chinese Journal of Light Scattering. 2023, 35(1): 8-15. https://doi.org/10.13883/j.issn1004-5929.202301002
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    Rose-shaped MoS2 nanoparticles (NPs) were synthesized by hydrothermal method, and the MoS2@Au nano-composites (NCs) were prepared by oxidation-reduction method, which were used as the surface enhanced Raman scattering (SERS) active substrates. Scanning electron microscope, transmission electron microscope, X-ray diffractometer and Raman spectrometer were used to characterize the structure performance of MoS2@Au NCs. We applied Rhodamine 6G (R6G) as the probe molecules, the SERS properties of the MoS2 NPs and MoS2@Au NCs were studied. The results show that under the excitation of 532 nm laser, the detection concentration limit of R6G is 10-6 M when MoS2 NPs is used as the substrate. After the modification of Au NPs, the detection limit can be reached 10-9 M. It is obviously improved by 3 orders of magnitude, which is due to the enhancement of electromagnetic field of Au nanoparticles and the enhancement of charge transfer between substrate and molecule to promote the improvement of SERS performance. Furthermore, the relative standard deviation (RSD) of the SERS signal of MoS2@Au substrate was calculated to be 12.2%, this indicates that the SERS signal of the MoS2@Au substrate has good uniformity.
  • LU Qing, MU Tao-tao, CHEN Shao-hua
    Chinese Journal of Light Scattering. 2023, 35(1): 16-23. https://doi.org/10.13883/j.issn1004-5929.202301003
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    Raman spectral analysis technology is used in the field of drug analysis. The traditional Raman spectral analysis method relies on the artificial expertise and testing conditions, which consumes a lot of time and manpower. To solve this problem, a method combining Raman spectroscopy and convolutional neural network (CNN) in deep learning is proposed in this paper, which can be more efficient and convenient for drug analysis. The Raman spectra of 4 kinds of drugs were collected in the experiment. The asymmetric least square method (ALS) was used for baseline correction and S-G smoothing filtering, and the original Raman spectra were preprocessed by Max-Min standardization. Six data enhancement methods, including the method of mixing multiple Dirichlet spectra, were combined to generate new Raman spectra to expand the data. The data enhancement method improved the fitting ability and expression ability of the model. Principal component analysis (PCA) method was used to reduce the dimension of the original Raman spectrum measured, and the spectral data was used as the input to build a one-dimensional convolutional neural network model to predict drug categories and realize drug classification, providing an intelligent method for drug analysis.
  • ZHANG Zipei, XU Jiaxing, CHEN Mei, YANG Kecheng, GUO Wenping, LI Wei
    Chinese Journal of Light Scattering. 2023, 35(1): 24-32. https://doi.org/10.13883/j.issn1004-5929.202301004
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    Light scattering is an effective method to distinguish normal and diseased red blood cells. However, there is a lack of research on the modeling and light scattering characteristics of diseased red blood cells. Based on the abnormal diffraction approximation theory, this paper constructs the light scattering models of normal double concave pancake shaped red blood cells and diseased oval, sickle shaped and aggregated red blood cells, determines the applicable angle range of this theory[M1]  when applied to red blood cells, and uses numerical simulation to explore the differences in the spatial distribution of light scattering between abnormal morphology, abnormal size and abnormal aggregated red blood cells and normal red blood cells. The simulation results show that there are great differences in the extreme number and corresponding angle of the scattered light intensity curve of red blood cells with different radius and shape, while the angle corresponding to the minimum value of the scattered light intensity curve of aggregated red blood cells is basically the same, and the minimum value has a gap of more than 22%. This conclusion is of great significance for detecting and distinguishing normal and diseased red blood cells by light scattering method and establishing an algorithm for retrieving the morphological characteristics of red blood cells.
  • ZHAO Huiying, LI Wenjun, LIU Fuyuan
    Chinese Journal of Light Scattering. 2023, 35(1): 33-38. https://doi.org/10.13883/j.issn1004-5929.202301005
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    To explore the value of Raman spectroscopy in predicting hypertensive diseases during pregnancy. Methods:From September 2020 to December 2021,96 pregnant women who met the requirements of this study in the Xiangyang No.1 People's Hospital, affiliated to Hubei University of Medical,were selected as subjects,including 46 cases of pregnancy induced hypertension (experimental group) and 50 normal pregnant women (control group).Fasting venous blood was taken from two groups of pregnant women during 12-20 weeks of pregnancy, and their serum was detected by Raman spectrum. Statistical analysis of the original map data, the use of machine learning SVM algorithm for data identification analysis, and finally do peak intensity analysis and attribution analysis .Results:There are significant differences in the peak displacement of Raman waves between the experimental group and the control group in 726cm-1, 749cm-1, 876cm-1, 899cm-1, 935cm-1, 951cm-1, 1302cm-1, 1446cm-1, 2879cm-1, and 1123cm-1-1127cm-1, 1152cm-1-1155cm-1, 1263cm-1-1270cm-1, 1655cm-1-1667cm-1, 2910cm-1-2965cm-1. In the two-classification identification, the identification accuracy of the experimental group and the control group was 92%, and its specificity and sensitivity were 94.8% and 88.5%, respectively.Conclusion: According to the Raman spectral data obtained in this experiment,we can make a good distinction between the experimental group and the control group, which is helpful to distinguish pregnancy-induced hypertension from healthy people. Raman spectrum may be used as an auxiliary method for predictive diagnosis of pregnancy-induced hypertension.
  • WANG Min, YANG Zizhong, SI Minzhen,
    Chinese Journal of Light Scattering. 2023, 35(1): 39-45. https://doi.org/10.13883/j.issn1004-5929.202301006
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    Polarized Raman spectroscopy is an effective method for analysing features of the protein structure in spider silk, and most of the early study subjects were artificially extracted drag silks of Nephila. To analyse the relationships between the conformations and properties of different spider silks in their natural states, polarized Raman spectroscopy was used to study the web frame silks of Cyclosa nigra (C. nigra, belonging to the genus Cyclosa) and Achaearanea celsabdomina (A. celsabdomina, belonging to the genus Achaearanea), the web frame silk belongs to the same major ampullate silk as the drag silk. The results show that silks that belong in a different family have similar amino acid sequences and structures, and their β-sheets are oriented parallel to the fibre axis. The difference is that the most of the other secondary structures in the A. celsabdomina silk are oriented perpendicular to the fibre axis; as a result, A. celsabdomina silk exhibits a higher ultimate strain (42.18±11.84%) than C. nigra silk (23.85±5.18%). Additionally, the different ratios of peak intensities and orientation-insensitive spectra indicates that the degree of orientation in the β-sheets of A. celsabdomina silk is higher than that of C. nigra silk, but the similar contents of β-sheets (the contents of β-sheets in C. nigra silk and A. celsabdomina silk are 32% and 33%, respectively) and hydrogen-bonded Tyr residues lead to similar breaking strengths for the two silks (the breaking strengths of C. nigra silk and A. celsabdomina silk are 205.00±25.73 MPa and 236.16±19.46 MPa, respectively). The Raman spectra of the silks show good consistency, so Raman spectroscopy can be used to study more varieties of spider silks, which could offer a theoretical basis for the exploitation and utilization of spider silks.
  • WU Na, Li Zheng, WANG Keqing
    Chinese Journal of Light Scattering. 2023, 35(1): 46-54. https://doi.org/10.13883/j.issn1004-5929.202301007
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    In this paper, we use microscope, large-format X-ray fluorescence scanning imaging, Raman spectroscopy and other means to study the pigment types and color mixing methods of the mounted landscape hanging scroll with ink and color on silk by Qing Dynasty Lei Lin. The research results show the blue and green landscape painting used azurite, malachite and Smalt to paint the top of the green mountain. Azurite and malachite were used to paint green hillsides, foothills, green leaves, ochre for brown trunks, and carbon black for dark branches, roofs, and bridges. The blue-green peak used more Smalt than the similar-colored hillsides and foothills. And the concentrations of azurite and malachite gradually decrease from the hilltop to the hillside, which showed that the artist used the mixture of different pigments and changes the concentration of the pigments to highlight the undulation of mountains and increase the three-dimensional sense of the picture. The results show that the surface scanning method can obtain more comprehensive information of cultural relics, avoid the lack of detection information. Combining with the traditional point collection method, surface scanning method can realize the research on the kinds of pigments and the methods of toning in Chinese traditional scroll painting.
  • ZHAO Anran LIU Zhen FAN Shuo LIU Li LIU Silu
    Chinese Journal of Light Scattering. 2023, 35(1): 55-63. https://doi.org/10.13883/j.issn1004-5929.202301008
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    To address the problem of the influence of mineral pigment particle size on optical properties and color, this paper combines light scattering theory and Kubelka-Munk theory to construct an optical model of single pigment particles, map it to the optical properties of the pigment media group, and establish a differential mapping model of spectral reflectance, scattering coefficient and absorption coefficient. The experimental results show that the pigment particle size has a significant negative correlation with the scattering coefficient, spectral reflectance, luminosity and tri-stimulus values. This study verifies the rationality of combining optical theory and color theory, reveals the mechanism of particle size variation on the optical properties and chromaticity values of mineral pigments, and provides some theoretical tool value for the restoration of painted relics in computer color matching.
  • Zhang Kaiping, Li Guoxia
    Chinese Journal of Light Scattering. 2023, 35(1): 64-70. https://doi.org/10.13883/j.issn1004-5929.202301009
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    It is not uncommon for low-quality olive oil to impersonate or adulterate extra virgin olive oil. To rapidly identify extra virgin olive oil adulteration, this paper proposes a portable Raman spectroscopy combined with an artificial neural network algorithm to identify extra virgin olive oil adulteration. First, mix low-quality and extra virgin olive oil according to different volume ratios and keep them still for 24 hours. Then, a portable Raman spectrometer is used to detect the Raman spectra of mixed oil samples with varying concentrations of adulteration. A quantitative analysis model is built based on the backpropagation neural network algorithm. Finally, the B3LYP/6-31+G (d, p) basis set of density functional theory is used to calculate the Raman spectrum of the main molecules of extra virgin olive oil, and the basis for quantitative analysis of adulteration of extra virgin olive oil is discussed from the mechanism. The experimental results show that the quantitative analysis of adulterated extra virgin olive oil with low-quality olive oil can be achieved using the back propagation neural network and Raman spectroscopy technology. The determination coefficient of the quantitative analysis model is 0.996, and the root mean square error is better than 0.017. Therefore, the back propagation neural network combined with Raman spectroscopy can effectively analyze the adulteration of extra virgin olive oil, providing a reliable technical reference for ensuring the stability of the domestic olive oil market and protecting the legitimate rights of consumers.
  • GAO Zhoujingming, JIANG Lingfeng, ZHU Jiayu, TIAN Youwei
    Chinese Journal of Light Scattering. 2023, 35(1): 71-77. https://doi.org/10.13883/j.issn1004-5929.202301010
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    In order to study the influence of the initial position of electrons on the motion time spectrum and spatial distribution characteristics of high-energy electrons in circularly polarized tightly focused laser pulses, the equations of full-time motion and spatial motion of high-energy electrons are deduced theoretically, and the three-dimensional radiation diagram and time spectrum are made by numerical simulation with MATLAB. We can conclude from the results that in the laser pulse, while the initial position of the electron gradually moves in the +�� direction, the spatial radiation characteristics have a trend of four-dimensional symmetry. There is also a certain positive and linear relationship between the initial position and the full width half maximum (FWHM) of the peak radiation in the time spectrum of unit solid angle radiation power. Specifically, the FWHM changes from 3.5as when
  • XIA Lingyu, YUAN Yirui, ZHU Senyuan, XUE hongtao, TIAN youwei
    Chinese Journal of Light Scattering. 2023, 35(1): 78-83. https://doi.org/10.13883/j.issn1004-5929.202301011
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    In order to study the spatial spectrum and spectrum of laser driven high-energy electron radiation corresponding to different initial phases, based on the classical Thomson scattering theory and single electron model, researhers completed the numerical simulation with the help of MATLAB software and deeply discussed the influence of the initial phase on the spatial spectrum and spectrum of laser driven high-energy electron radiation. The results show that when electrons collide at the focus, there is no significant difference in the scattering spectrum characteristics of different initial phases, i.e., there is no obvious change in monochromaticity; When the electrons collide away from the focus, the change of the initial phase makes the maximum single harmonic energy of the scattered light and its corresponding harmonic number change periodically, the period is π, and the curve is approximately a trigonometric function curve.