• Title/Summary/Keyword: raman spectra

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Determination of Ethanol in Blood Samples Using Partial Least Square Regression Applied to Surface Enhanced Raman Spectroscopy

  • Acikgoz, Gunes;Hamamci, Berna;Yildiz, Abdulkadir
    • Toxicological Research
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    • v.34 no.2
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    • pp.127-132
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    • 2018
  • Alcohol consumption triggers toxic effect to organs and tissues in the human body. The risks are essentially thought to be related to ethanol content in alcoholic beverages. The identification of ethanol in blood samples requires rapid, minimal sample handling, and non-destructive analysis, such as Raman Spectroscopy. This study aims to apply Raman Spectroscopy for identification of ethanol in blood samples. Silver nanoparticles were synthesized to obtain Surface Enhanced Raman Spectroscopy (SERS) spectra of blood samples. The SERS spectra were used for Partial Least Square (PLS) for determining ethanol quantitatively. To apply PLS method, $920{\sim}820cm^{-1}$ band interval was chosen and the spectral changes of the observed concentrations statistically associated with each other. The blood samples were examined according to this model and the quantity of ethanol was determined as that: first a calibration method was established. A strong relationship was observed between known concentration values and the values obtained by PLS method ($R^2=1$). Second instead of then, quantities of ethanol in 40 blood samples were predicted according to the calibration method. Quantitative analysis of the ethanol in the blood was done by analyzing the data obtained by Raman spectroscopy and the PLS method.

2,4,6-Triamino-1,3,5-triazin-1-ium Acetate Acetic Acid Solvate Monohydrate. Infrared and Raman Spectra

  • Marchewka, M.K.
    • Bulletin of the Korean Chemical Society
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    • v.25 no.4
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    • pp.466-470
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    • 2004
  • The crystals of the new melaminium salt, i.e. melaminium acetate acetic acid solvate monohydrate, $C_3H_7N_6^+ {\cdot}CH_3COO^- {\cdot}CH_3COOH{\cdot}H_2O$, were obtained by the slow evaporation of an aqueous solution at room temperature. Powder infrared and Raman spectra were measured and interpreted. The vibrational spectra in the region of internal vibrations of ions corroborate structural data recently published by Perpetuo and Janczak.$^1$ Some spectral features of this new crystal are referred to corresponding one for melamine crystal as well as other melamine complexes in crystalline form. Hydrogen-bonded network present in the crystal gives notable vibrational effect.

A Study on Diagnosis of Alzheimer's Disease using Raman Spectra from Platelet (혈소판 라만 스펙트럼을 이용한 알츠하이머병 진단에 관한 연구)

  • Park, Aa-Rron;Heo, Gi-Su;Baek, Seong-Joon
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • v.47 no.4
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    • pp.40-46
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    • 2010
  • In this paper, we use the Raman spectra measured from platelet to the diagnosis of Alzheimer's disease(AD). The Raman spectra used in the experiments were preprocessed with the following method and then fed into the classifier. The first step of the preprocessing is a simple smoothing followed by background elimination to the original spectra to make it easy to measure the intensity of the peaks. The last step of the preprocessing was peak alignment with the reference peak. After the inspection of the preprocessed spectra, we found that proportion of two peak intensity at 743 and 757 $cm^{-1}$ and peak intensity at 1658 $cm^{-1}$ are the most discriminative features. Then we apply mapstd method for normalization. The method returned data with means to 0 and deviation to 1. With these two features, the classification result involving 278 spectra showed about 95.5% true classification in case of MLP(multi-layer perceptron). It means that the Raman spectra measured from platelet would be effectively used to the diagnosis of Alzheimer's disease.

The identification of Raman spectra by using linear intensity calibration (선형 강도 교정을 이용한 라만 스펙트럼 인식)

  • Park, Jun-Kyu;Baek, Sung-June;Park, Aaron
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.19 no.3
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    • pp.32-39
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    • 2018
  • Raman spectra exhibit differences in intensity depending on the measuring equipment and environmental conditions even for the same material. This restricts the pattern recognition approach of Raman spectroscopy and is an issue that must be solved for the sake of its practical application, so as to enable the reusability of the Raman database and interoperability between Raman devices. To this end, previous studies assumed the existence of a transfer function between the measurement devices to obtain a direct spectral correction. However, this method cannot cope with other conditions that cause various intensity distortions. Therefore, we propose a classification method using linear intensity calibration which can deal with various measurement conditions more flexibly. In order to evaluate the performance of the proposed method, a Raman library containing 14033 chemical substances was used for identification. Ten kinds of chemical Raman spectra measured using three different Raman spectroscopes were used as the experimental data. The experimental results show that the proposed method achieves 100% discrimination performance against the intensity-distorted spectra and shows a high correlation score for the identified material, thus making it a useful tool for the identification of chemical substances.

Deep UV Raman Spectroscopic Study for the Standoff Detection of Chemical Warfare Agents from the Agent-Contaminated Ground Surface (지표면 화학작용제 비접촉 탐지를 위한 단자외선 라만분광법 연구)

  • Choi, Sun-Kyung;Jeong, Young-Su;Lee, Jae Hwan;Ha, Yeon-Chul
    • Journal of the Korea Institute of Military Science and Technology
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    • v.18 no.5
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    • pp.612-620
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    • 2015
  • Short-range detection of chemical agents deposited on ground surface using a standoff Raman system employing a pulsed laser at 248 nm is described. Mounted in a vehicle such as an NBC reconnaissance vehicle, the system is protected against toxic chemicals. As most chemicals including chemical warfare agents have unique Raman spectra, the spectra can be used for detecting toxic chemicals contaminated on the ground. This article describes the design of the Raman spectroscopic system and its performance on several chemicals contaminated on asphalt, concrete, sand, etc.

Effect of Gold Substrates on the Raman Spectra of Graphene

  • Kim, Na-Young;Oh, Min-Kyung;Park, Sung-Ho;Kim, Seong-Kyu;Hong, Byung-Hee
    • Bulletin of the Korean Chemical Society
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    • v.31 no.4
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    • pp.999-1003
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    • 2010
  • Raman spectra of a single layer graphene sheet placed in different gold substrates were obtained and are discussed in the context of surface enhanced Raman scattering (SERS). The gold substrates were composed of a combination of a thermally deposited gold film and a close-packed gold nanosphere layer. The SERS effects were negligible when the excitation wavelength was 514 nm, while the Raman signals were enhanced 3-to 50-fold when the excitation wavelength was 633 nm. The large SERS enhancement accompanied a spectral distortion with appearance of several unidentifiable peaks, as well as enhancement of a broadened D peak. These phenomena are interpreted as the local field enhancement in the nanostructure of the gold substrates. The difference in the enhancement factors among the various gold substrates is explained with a model in which the spatial distribution and polarization of the local field and the orientation of the inserted graphene sheet are considered important.

Toward Practical Augmentation of Raman Spectra for Deep Learning Classification of Contamination in HDD

  • Seksan Laitrakun;Somrudee Deepaisarn;Sarun Gulyanon;Chayud Srisumarnk;Nattapol Chiewnawintawat;Angkoon Angkoonsawaengsuk;Pakorn Opaprakasit;Jirawan Jindakaew;Narisara Jaikaew
    • Journal of information and communication convergence engineering
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    • v.21 no.3
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    • pp.208-215
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    • 2023
  • Deep learning techniques provide powerful solutions to several pattern-recognition problems, including Raman spectral classification. However, these networks require large amounts of labeled data to perform well. Labeled data, which are typically obtained in a laboratory, can potentially be alleviated by data augmentation. This study investigated various data augmentation techniques and applied multiple deep learning methods to Raman spectral classification. Raman spectra yield fingerprint-like information about chemical compositions, but are prone to noise when the particles of the material are small. Five augmentation models were investigated to build robust deep learning classifiers: weighted sums of spectral signals, imitated chemical backgrounds, extended multiplicative signal augmentation, and generated Gaussian and Poisson-distributed noise. We compared the performance of nine state-of-the-art convolutional neural networks with all the augmentation techniques. The LeNet5 models with background noise augmentation yielded the highest accuracy when tested on real-world Raman spectral classification at 88.33% accuracy. A class activation map of the model was generated to provide a qualitative observation of the results.

Raman scattering spectroscopy as a characterization method of coated conductors

  • Um, Y.M.;Jo, W.
    • Progress in Superconductivity and Cryogenics
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    • v.9 no.4
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    • pp.24-27
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    • 2007
  • The purpose of this work is to develop, integrate, and implement an optical characterization method to evaluate physical properties in coated conductors and investigate the local distribution of the causes of degraded performance. The method that we selected at this moment is Raman scattering spectroscopy, which is accompanied with measurements of local supercurrent transport, phase composition, microstructure, and epitaxy quality for coated conductors that range in size up to multi-meter-length tapes and that embrace the entire tape embodiment (substrate through cap layer). The establishment of Raman spectroscopy as an on-line process monitoring tool is our eventual goal of research, but it requires very robust and cost-effective equipments. We analyzed $YBa_2Cu_3O_7(YBCO)$ thin films grown at various substrate temperatures by using Raman spectroscopy. YBCO films were grown by a high-rate electron-beam co-evaporation method. Raman spectra of YBCO films with lower-transport properties exhibit additional phonon modes at ${\sim}300cm^{-1}$, ${\sim}600cm^{-1}$ and ${\sim}630cm^{-1}$, which are related to second-phases such as $Ba_2Cu_3O_{5.9}$ and $BaCuO_2$. We propose a new method to characterize Raman spectra of coated conductors for an in-line quality control.

Adsorption of 2-Cyanonaphthalene on Silver Sol Investigated by Raman Spectroscopy$^\dag$

  • Park, Seong Hyeon;Lee, Eun A;Jang, Du Jeon;Kim, Myeong Su;Kim, Gwan
    • Bulletin of the Korean Chemical Society
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    • v.16 no.2
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    • pp.130-134
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    • 1995
  • Surface-enhanced Raman (SER) scattering of 2-cyanonaphthalene (2-CN) has been investigated in silver sol. Addition of halide ions was needed to obtain authentic SER spectra of the molecule. The SER spectra thus obtained exhibited a slight but noticeable dependence on the kind of halide ions used. This halide-dependent spectral variation was attributed to the orientational change of molecule on silver sol surface. A possible mechanism for such an orientational change is proposed in terms of the competitive adsorption of 2-CN with halide ions on the so-called halide-specific sites.

Measurement of CO Q-branch Raman Spectrum by using High Resolution Inverse Raman Spectrometer (고분해능 Inverse 라만 분광기를 이용한 CO Q-branch 라만 분광 측정)

  • 한재원
    • Proceedings of the Optical Society of Korea Conference
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    • 1989.02a
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    • pp.59-64
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    • 1989
  • Raman vibrational Q0branch spectra of pure CO are measured by using the technique of quasicw inverse Raman spectroscopy utilizing a pulsed single-frequency laser source. This approach gives enhanced sensitivity compared to earlier work which employed CW lasers, allowing extension of that work to higher accuracy, higher J states, and higher pressure. Fitting laws with pertubation theory and modified energy gap(MEG) theory are described, and the line broadening and shifting coefficients of J=0 to 24 are determined with both fitting laws.

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