[go: up one dir, main page]
More Web Proxy on the site http://driver.im/
You seem to have javascript disabled. Please note that many of the page functionalities won't work as expected without javascript enabled.
 
 
Sign in to use this feature.

Years

Between: -

Subjects

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Journals

Article Types

Countries / Regions

remove_circle_outline
remove_circle_outline
remove_circle_outline

Search Results (356)

Search Parameters:
Keywords = THz spectroscopy

Order results
Result details
Results per page
Select all
Export citation of selected articles as:
10 pages, 4395 KiB  
Article
Enhancing Terahertz Absorption Spectrum Based on a Tunable Defect Cavity of One-Dimensional Photonic Crystal in the Combined Coaxial Waveguide
by Lu Nie, Xiangjun Li, Dongzhe Chen, Zihao Wang and Dexian Yan
Photonics 2025, 12(1), 14; https://doi.org/10.3390/photonics12010014 - 27 Dec 2024
Viewed by 295
Abstract
Terahertz (THz) molecular fingerprint spectroscopy provides a powerful label-free tool for detecting trace-amount analytes. Introducing extra microstructures such as metasurfaces to confine the field energy is essential to improve the sensitivity. However, the area of analyte film on conventional enhancing metasurfaces must be [...] Read more.
Terahertz (THz) molecular fingerprint spectroscopy provides a powerful label-free tool for detecting trace-amount analytes. Introducing extra microstructures such as metasurfaces to confine the field energy is essential to improve the sensitivity. However, the area of analyte film on conventional enhancing metasurfaces must be larger than the beam spot in a free-space measuring setup. Here, we propose a tunable defect cavity of one-dimensional photonic crystal in the combined coaxial waveguide (CCW) and enhance the broadband THz fingerprint of trace analytes on a much smaller area. The peaks of high Q resonances can form a wide absorption spectrum by changing the length of the rubber part of the coaxial waveguide. For the 0.2 µm α-lactose film sample in the frequency range of 0.48–0.58 THz, the absorption enhancement factor of 89.2 times based on the thickness can be achieved and the sample area is about 1/1700 of that in the free-space measurement with the 5 mm beam waist. We first introduce the coaxial waveguide in the terahertz absorption spectra enhancement. With our proposed structure the analyte volume is effectively reduced which is significant in the real application scenario. Full article
Show Figures

Figure 1

Figure 1
<p>(<b>a</b>) The tunable one-dimensional photonic crystal defect cavity in the combined coaxial waveguide for THz fingerprint spectra enhancing; (<b>b</b>) the x–z and (<b>c</b>) the y–z plane cross-section of the structure.</p>
Full article ">Figure 2
<p>(<b>a</b>) Dispersion lines of the periodic 1D-PC in the free space and the coaxial waveguide. (<b>b</b>) Transmission spectrum of 1D-PC (blue line) with <span class="html-italic">N</span> = 4 and defect 1D-PC (red line) with <span class="html-italic">N</span> = 2. (<b>c</b>) Transmission and reflection spectra of the blank structure. (<b>d</b>) The dielectric spectra of the α-lactose. (<b>e</b>) Transmission and reflection of the structure with 1.0 µm α-lactose. (<b>f</b>) The enhanced absorption spectrum of 1.0 µm α-lactose in the CCW and the enlarged unenhanced absorption spectrum of the same film sample with 38.7 folds.</p>
Full article ">Figure 3
<p>The electrical field distribution at resonant frequency (<b>a</b>) the different sections at the 0.5302 THz (<span class="html-italic">d<sub>c</sub></span><sub>1</sub> = 170 µm), (<b>b</b>) without the α-lactose, and (<b>c</b>) with the α-lactose at different <span class="html-italic">d<sub>c</sub></span><sub>1</sub> = 150~170 µm.</p>
Full article ">Figure 4
<p>The enhancement factors of our structure with different thicknesses and volumes. (<b>a</b>) The areas of samples under conventional metasurface enhancing scheme by the free space beam and our structure. (<b>b</b>) The enhancement factors of our structure based on the different thicknesses and volumes compared with the enlarged free-standing α-lactose film.</p>
Full article ">Figure 5
<p>Transmission spectra of 1D PC1 in the coaxial waveguide with different layers <span class="html-italic">N</span>.</p>
Full article ">Figure 6
<p>(<b>a</b>–<b>f</b>) Influence of lactose film thickness <span class="html-italic">d<sub>s</sub></span> and substrate thickness <span class="html-italic">d<sub>p</sub></span> on terahertz enhancement multiplicity, respectively.</p>
Full article ">
19 pages, 3853 KiB  
Article
Rapid Non-Destructive Detection of Rice Seed Vigor via Terahertz Spectroscopy
by Jun Hu, Sijie Xu, Zhikai Huang, Wennan Liu, Jiahao Zheng and Yuxi Liao
Agriculture 2025, 15(1), 34; https://doi.org/10.3390/agriculture15010034 - 26 Dec 2024
Viewed by 334
Abstract
Rice seed vigor significantly impacts yield, making the selection of high-vigor seeds crucial for agricultural production. Traditional methods for assessing seed vigor are time-consuming and destructive. This study aimed to develop a rapid, non-destructive method for evaluating rice seed vigor using terahertz spectroscopy. [...] Read more.
Rice seed vigor significantly impacts yield, making the selection of high-vigor seeds crucial for agricultural production. Traditional methods for assessing seed vigor are time-consuming and destructive. This study aimed to develop a rapid, non-destructive method for evaluating rice seed vigor using terahertz spectroscopy. Rice seeds with varying vigor levels were prepared through high-temperature and high-humidity aging and classified into high-, low-, and non-vigorous groups based on germination performance. Terahertz transmission imaging (0.1–3 THz) was conducted on 420 seeds, and spectral data were preprocessed using several advanced data processing techniques, including competitive adaptive reweighting (CARS), uninformative variable elimination (UVE), and principal component analysis (PCA). Three chemometric models, namely random forest (RF), K-nearest neighbors (KNN), and partial least squares–discriminant analysis (PLS-DA), were established. The model based on CARS-KNN after band selection achieved the highest prediction accuracy of 97.14%. The results indicate that terahertz spectroscopy combined with band selection methods provides a reliable, non-destructive approach for rice seed vigor assessment, offering significant potential for agricultural quality control. Full article
(This article belongs to the Special Issue Rice Ecophysiology and Production: Yield, Quality and Sustainability)
Show Figures

Figure 1

Figure 1
<p>Schematic diagram of the working principle of the QT-TO1000 Terahertz Spectral Transmission 3D Imaging Scanner.</p>
Full article ">Figure 2
<p>Flowchart of Rice Seed Viability Detection.</p>
Full article ">Figure 3
<p>Seed Germination Box with Neatly Arranged Rice Seeds.</p>
Full article ">Figure 4
<p>THz Time-Domain Spectra of Rice Seeds at Various Vigor Levels.</p>
Full article ">Figure 5
<p>The results of feature extraction from the terahertz spectra of rice seeds obtained through the UVE algorithm.</p>
Full article ">Figure 6
<p>Feature Extraction Results of Terahertz Spectra of Rice Seeds Using the CARS Algorithm.</p>
Full article ">Figure 7
<p>Visualization of Rice Seed Terahertz Spectra Based on the First Three Principal Components Extracted by PCA.</p>
Full article ">Figure 8
<p>Confusion Matrix of the Full-Spectrum RF Model for the Prediction Results.</p>
Full article ">Figure 9
<p>Confusion Matrix of the CARS-PLS-DA Model for the Prediction Results.</p>
Full article ">Figure 10
<p>Confusion Matrix of the CARS-KNN Model for the Prediction Results.</p>
Full article ">
11 pages, 4730 KiB  
Article
Terahertz Time-Domain Spectroscopy of Substituted Gadolinium Gallium Garnet
by Ke Wang, Junchao Xu, Hironaru Murakami, Hiroyasu Yamahara, Munetoshi Seki, Hitoshi Tabata and Masayoshi Tonouchi
Condens. Matter 2025, 10(1), 1; https://doi.org/10.3390/condmat10010001 - 25 Dec 2024
Viewed by 268
Abstract
Temperature dependence of the lowest frequency transverse optical phonon (TO1) in a single crystal Substituted Gadolinium Gallium Garnet (SGGG, (001)) was studied using terahertz time-domain spectroscopy at temperatures between 80 K and 500 K. The complex dielectric constants were calculated from the optical [...] Read more.
Temperature dependence of the lowest frequency transverse optical phonon (TO1) in a single crystal Substituted Gadolinium Gallium Garnet (SGGG, (001)) was studied using terahertz time-domain spectroscopy at temperatures between 80 K and 500 K. The complex dielectric constants were calculated from the optical constants fitting with the Lorentz oscillator model. The results show that the TO1 phonon of SGGG is at 2.5 THz at room temperature, the frequency of the TO1 phonon slightly decreases, and the dumping factor clearly increases with increasing temperature. Additionally, our results demonstrate that even a small substitution can induce a phonon shift, leading to higher absorption and causing a slight degradation in thermal stability. Our work is expected to support the development of magneto-optical and spintronic devices. Full article
Show Figures

Figure 1

Figure 1
<p>THz-TDS results of SGGG at room temperature by using the air-plasma-based THz-TDS system. (<b>a</b>) time-domain waveforms; (<b>b</b>) phase spectra; (<b>c</b>) frequency-domain spectra, by applying FFT on time-domain data; and (<b>d</b>) the transmission spectrum. The shadowed areas represent unreliable regions.</p>
Full article ">Figure 2
<p>Temperature-dependent complex dielectric constants from 80 to 500 K of SGGG. Figures on the left and right represent the real part and the imaginary part, respectively. Solid lines: fitting results; open squares: the real part; and open circles: the imaginary part. Black 3D spheres in the figures at 300 K represent the data measured with the Otsuka system for validating air-plasma-based system results.</p>
Full article ">Figure 3
<p>Fitting parameters of the TO1 phonon of SGGG. The colors represent different temperatures, and they correspond to <a href="#condensedmatter-10-00001-f002" class="html-fig">Figure 2</a>.</p>
Full article ">Figure 4
<p>Temperature dependence of the phonon frequencies. Differences are displayed in comparison with those at 80 K. Black: calculated with the minimum Grüneisen parameter of 0.5; red: calculation results with Grüneisen parameters with a maximum Grüneisen parameter of 1.8; and blue: experimental data.</p>
Full article ">Figure 5
<p>The comparison of the imaginary part of complex refractive index κ of SGGG and GGG at 300 K, from 1.5 to 3 THz. The black line: (001) SGGG; the red line: (001) GGG.</p>
Full article ">Figure 6
<p>The comparison of the loss tangents of SGGG and GGG at 300 K by averaging the data in the frequency range from 2.7 to 2.8 THz. Black symbols: (001) SGGG; red symbols: (001) GGG. The colors represent different temperatures, and they correspond to <a href="#condensedmatter-10-00001-f002" class="html-fig">Figure 2</a>.</p>
Full article ">Figure 7
<p>Crystal structure of SGGG. Different atoms are displayed in different colors. Red: O; purple: Gd; dark green: Ga; orange: Mg; cyan: Ca; and neon green: Zr.</p>
Full article ">
9 pages, 2897 KiB  
Article
Optical Parameters of Deuterated Triglycine Sulfate in Terahertz Range
by Kirill Brekhov, Anastasia Gorbatova, Ekaterina Lebedeva, Pavel Avdeev, Andrey Kudryavtsev, Oleg Chefonov, Sergey Zhukov and Elena Mishina
Crystals 2024, 14(12), 1093; https://doi.org/10.3390/cryst14121093 - 19 Dec 2024
Viewed by 318
Abstract
In this work, the optical parameters of a 550 μm thick deuterated triglycine sulfate (DTGS) crystal in the range of 0.3–1.5 THz were investigated in low and high fields by time-domain spectroscopy. The X and Z axes of the refractive index ellipsoid were [...] Read more.
In this work, the optical parameters of a 550 μm thick deuterated triglycine sulfate (DTGS) crystal in the range of 0.3–1.5 THz were investigated in low and high fields by time-domain spectroscopy. The X and Z axes of the refractive index ellipsoid were identified, and the refractive indices and extinction coefficients were determined. In addition, it was shown that, in strong THz fields, a phonon A-mode with a frequency of about 40 cm−1 can be excited in the DTGS crystal when the THz wave vector coincides with the polar axis of the crystal and the polarization of the THz radiation coincides with the X-axis of the crystal. The use of the observed effect and the determination of the mode excitation parameters can be twofold. First, they show the limits of the THz field for non-invasive action on the crystal. Second, they present the mode excitation conditions that can be used, for example, in controllable absorbers. Full article
(This article belongs to the Section Inorganic Crystalline Materials)
Show Figures

Figure 1

Figure 1
<p>XRD pattern of the DTGS crystal.</p>
Full article ">Figure 2
<p>Schematic and photo of the experimental terahertz spectroscopy facilities used in this work: (<b>a</b>) Facility 1, (<b>b</b>) Facility 2–commercial THz spectrometer Tera K15 (Menlo System) [<a href="#B27-crystals-14-01093" class="html-bibr">27</a>], (<b>c</b>) Facility 3.</p>
Full article ">Figure 3
<p>Azimuthal dependences of the (<b>a</b>) X-and (<b>b</b>) Y-components of the THz signal on DTGS crystal rotation angle (Facility 1). X- and Y-components of the THz field are directed along the X and Y axes of the laboratory frame (blue axes in the left panel). The gray area is the refractive indices ellipsoid. Red axes on the left panel denote its main axes.</p>
Full article ">Figure 4
<p>Temporal (<b>left panels</b>) and spectral (<b>right panels</b>) forms of the THz signals for facilities 2 and 3.</p>
Full article ">Figure 5
<p>Optical constants of DTGS crystal for different THz field strength and two sample orientations: (<b>a</b>) spectra of the refractive indices <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>n</mi> </mrow> <mrow> <mi>x</mi> </mrow> </msub> </mrow> </semantics></math> and <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>n</mi> </mrow> <mrow> <mi>z</mi> </mrow> </msub> </mrow> </semantics></math> (Facility 2); (<b>d</b>) spectra of the extinction coefficients <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>k</mi> </mrow> <mrow> <mi>x</mi> </mrow> </msub> </mrow> </semantics></math> and <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>k</mi> </mrow> <mrow> <mi>z</mi> </mrow> </msub> </mrow> </semantics></math> (Facility 2); (<b>b</b>,<b>c</b>,<b>e</b>,<b>f</b>) spectra of the optical constants for different values of the maximum field strength: <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>n</mi> </mrow> <mrow> <mi>x</mi> </mrow> </msub> </mrow> </semantics></math>, <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>n</mi> </mrow> <mrow> <mi>z</mi> </mrow> </msub> </mrow> </semantics></math>, <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>k</mi> </mrow> <mrow> <mi>x</mi> </mrow> </msub> </mrow> </semantics></math>, and <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>k</mi> </mrow> <mrow> <mi>z</mi> </mrow> </msub> </mrow> </semantics></math>, correspondingly (Facility 3).</p>
Full article ">
17 pages, 2214 KiB  
Review
Qualitative and Quantitative Analysis of Volatile Molecular Biomarkers in Breath Using THz-IR Spectroscopy and Machine Learning
by Akim Tretyakov, Denis Vrazhnov, Alexander Shkurinov, Viacheslav Zasedatel and Yury Kistenev
Appl. Sci. 2024, 14(24), 11521; https://doi.org/10.3390/app142411521 - 11 Dec 2024
Viewed by 791
Abstract
Exhaled air contains volatile molecular compounds of endogenous origin, being products of current metabolic pathways. It can be used for medical express diagnostics through control of these compounds in the patient’s breath using molecular absorption spectroscopy. The fundamental problem in this field is [...] Read more.
Exhaled air contains volatile molecular compounds of endogenous origin, being products of current metabolic pathways. It can be used for medical express diagnostics through control of these compounds in the patient’s breath using molecular absorption spectroscopy. The fundamental problem in this field is that the composition of exhaled air or other gas mixtures of natural origin is unknown, and content analysis of such spectra by conventional iterative methods is unpredictable. Machine learning methods enable the establishment of latent dependencies in spectral data and the conducting of their qualitative and quantitative analysis. This review is devoted to the most effective machine learning methods of exhaled air sample absorption spectra qualitative and content analysis. The focus is on interpretable machine learning methods, which are important for reliable medical diagnosis. Also, the steps additional to the standard machine learning pipeline and important for medical decision support are discussed. Full article
(This article belongs to the Special Issue Advances of Laser Technologies and Their Applications)
Show Figures

Figure 1

Figure 1
<p>ML pipeline suitable for gas mixtures for absorption spectra analysis.</p>
Full article ">Figure 2
<p>The model spectra decomposition using canonical correlation analysis. Comparison of method’s accuracy for original model spectrum, original spectrum with noise and artificially reduced resolution, and the latter, after denoising and high-resolution reconstruction procedures [<a href="#B55-applsci-14-11521" class="html-bibr">55</a>]. (Reused under license # 5882601337718).</p>
Full article ">Figure 3
<p>Suggested optimal ML pipeline.</p>
Full article ">Figure 4
<p>Conventional iterative and ML methods comparison with respect to qualitative/quantitative spectra analysis task.</p>
Full article ">Figure 5
<p>The additional steps in IR-THz spectra processing pipeline for exhaled air samples analysis.</p>
Full article ">Figure 6
<p>Extended analysis of IR-THz spectra for breathomics applications.</p>
Full article ">
12 pages, 3602 KiB  
Communication
Multi-Degree-of-Freedom Stretchable Metasurface Terahertz Sensor for Trace Cinnamoylglycine Detection
by Huanyu Li, Wenyao Yu, Mengya Pan, Shuo Liu, Wanxin Nie, Yifei Zhang and Yanpeng Shi
Biosensors 2024, 14(12), 602; https://doi.org/10.3390/bios14120602 - 9 Dec 2024
Viewed by 605
Abstract
Terahertz (THz) spectroscopy, an advanced label-free sensing method, offers significant potential for biomolecular detection and quantitative analysis in biological samples. Although broadband fingerprint enhancement compensates for limitations in detection capability and sensitivity, the complex optical path design in operation restricts its broader adoption. [...] Read more.
Terahertz (THz) spectroscopy, an advanced label-free sensing method, offers significant potential for biomolecular detection and quantitative analysis in biological samples. Although broadband fingerprint enhancement compensates for limitations in detection capability and sensitivity, the complex optical path design in operation restricts its broader adoption. This paper proposes a multi-degree-of-freedom stretchable metasurface that supports magnetic dipole resonance to enhance the broadband THz fingerprint detection of trace analytes. The metasurface substrate and unit cell structures are constructed using polydimethylsiloxane. By adjusting the sensor’s geometric dimensions or varying the incident angle within a narrow range, the practical optical path is significantly simplified. Simultaneously, the resonance frequency of the transmission curve is tuned, achieving high sensitivity for effectively detecting cinnamoylglycine. The results demonstrate that the metasurface achieves a high-quality factor of 770.6 and an excellent figure of merit of 777.2, significantly enhancing the THz sensing capability. Consequently, the detection sensitivity for cinnamoylglycine can reach 24.6 µg·cm−2. This study offers critical foundations for applying THz technology to biomedical fields, particularly detecting urinary biomarkers for diseases like gestational diabetes. Full article
(This article belongs to the Special Issue Flexible and Stretchable Electronics as Biosensors)
Show Figures

Figure 1

Figure 1
<p>(<b>a</b>) Structural view of an all-dielectric metasurface, showing the periodic arrangement of pure PDMS cubic clusters. (<b>b</b>) Unit cell of the periodic structure. (<b>c</b>) Schematic of the structure of the holder with the y-axis fixed and moving along the x-axis. (<b>d</b>) THz-TDS system based on a photoconductive antenna.</p>
Full article ">Figure 2
<p>(<b>a</b>) Metasurface transmission spectra at stretch factor S = 100% and S = 107%. (<b>b</b>) Electric and magnetic field distributions measured at the surface of the PDMS substrate at stretch factor S = 100%.</p>
Full article ">Figure 3
<p>(<b>a</b>) Effect of varying periodicity in the x-direction P<sub>x</sub> on the transmission curve. (<b>b</b>) Effect of varying periodicity in the y-direction P<sub>y</sub> on the transmission curve. (<b>c</b>) Impact of varying cube size w on the transmission curve. (<b>d</b>) Influence of varying substrate thickness t on the transmission curve. (<b>e</b>) Effect of varying inter-cube cluster distance L on the transmission curve. (<b>f</b>) Effect of varying cube cluster height h on the transmission curve.</p>
Full article ">Figure 4
<p>(<b>a</b>) Schematic diagram of the metasurface structure with the attached analyte as the stretching factor S varying from 100% to 130%. (<b>b</b>) Two-dimensional contour plot of the transmittance as a function of the stretching factor and frequency. (<b>c</b>) Normalized transmission spectra without analyte (stretching factor ranging from 100% to 130%).</p>
Full article ">Figure 5
<p>(<b>a</b>) Refractive index and complex refractive index of cinnamoylglycine in the THz band. (<b>b</b>) Stretch factor dependent transmission spectra of 0.6 µm thick cinnamoylglycine on a metasurface. (<b>c</b>) The electric field distribution measured at the substrate surface in the x–y plane at 0.487 THz for specific stretching factors S, corresponding to the transmission spectra shown in (<b>b</b>), respectively.</p>
Full article ">Figure 6
<p>(<b>a</b>) Normalized transmission spectra of 0.6 µm thick cinnamoylglycine with stretch factors ranging from 100% to 130%, the S values increasing by 1% between each curve. The corresponding envelopes have been plotted with red lines. (<b>b</b>) Transmission envelope curves for different thicknesses of analytes.</p>
Full article ">Figure 7
<p>(<b>a</b>) Schematic diagram of angle multiplexing in the x–z plane of the metasurface. (<b>b</b>) Normalized transmission spectra without any analyte, with angles of incidence ranging from 0° to 15°, the values increasing by 0.5° between each curve. (<b>c</b>) Integrated transmission spectrum of a 0.6 µm thick cinnamoylglycine film with incidence angles ranging from 0° to 15°, the values increasing by 0.5° between each curve. The corresponding envelope has been plotted with a red line.</p>
Full article ">
10 pages, 2881 KiB  
Article
Observation of Boson Peak of Fragile Baltic Amber Glass by Terahertz Time-Domain Spectroscopy
by Toru Sasaki, Soo Han Oh, Tatsuya Mori and Seiji Kojima
Materials 2024, 17(23), 5956; https://doi.org/10.3390/ma17235956 - 5 Dec 2024
Viewed by 473
Abstract
Amber is a fragile (in Angell’s classification) natural glass that has performed maturation processes over geological time. The terahertz dynamics of Baltic amber that was about 40 million years old were studied by terahertz time-domain spectroscopy (THz-TDS) in the frequency range of 0.2 [...] Read more.
Amber is a fragile (in Angell’s classification) natural glass that has performed maturation processes over geological time. The terahertz dynamics of Baltic amber that was about 40 million years old were studied by terahertz time-domain spectroscopy (THz-TDS) in the frequency range of 0.2 and 6.0 THz. In general, the intensity of a boson peak is weak for fragile glass. In the terahertz transmission spectra of Baltic amber in the previous study, no boson peak was observed upon slow cooling. However, in the present study, upon rapid cooling down to 15 K, the boson peak was observed clearly at 0.36 THz by the suppression of ice nucleation of confined water. The dynamic correlation length determined by the boson peak frequency was compared with the static structure correlation length and the scale of the medium-range order as determined by the first sharp diffraction peak of X-ray diffraction (XRD) in the recent literature. It was found that the dynamic correlation length determined by THz-TDS was closely related to the static correlation length determined by the XRD analysis. Full article
(This article belongs to the Special Issue Terahertz Vibrational Spectroscopy in Advanced Materials)
Show Figures

Graphical abstract

Graphical abstract
Full article ">Figure 1
<p>Baltic amber.</p>
Full article ">Figure 2
<p>Experimental setup of the THz time-domain spectrometer (RT-10000).</p>
Full article ">Figure 3
<p>Time-domain and frequency-domain responses of (<b>a</b>) <span class="html-italic">E</span>(t) and (<b>b</b>) <span class="html-italic">E</span>(ν)<sup>2</sup> of Baltic amber at room temperature.</p>
Full article ">Figure 4
<p>(<b>a</b>) Temperature dependence of THz-TDS spectra α(ν)/ν<sup>2</sup> of Baltic amber observed after a rapid quench of 5 K/min down to 15 K. Upon heating after the quench, the intensity of a BP gradually decreases. (<b>b</b>) Temperature dependence of THz-TDS spectra α(ν)/ν<sup>2</sup> of Baltic amber after a slow cooling at a rate of 0.3 K/min down to 12 K. No BP was observed [<a href="#B7-materials-17-05956" class="html-bibr">7</a>]. Different colored lines denote different temperatures.</p>
Full article ">Figure 5
<p>Fitted curve of the BP in THz-TDS spectrum by a log-normal function; α(ν)/ν<sup>2</sup> of a Baltic amber at 15 K.</p>
Full article ">Figure 6
<p>Temperature dependence of real and imaginary parts of the dielectric constant of a Baltic amber at 1.0 THz. Orange, blue, and red circles are heating after the rapid cooling, slow cooling, and heating after slow cooling, respectively.</p>
Full article ">Figure 7
<p>The fitting of (<b>a</b>) real and (<b>b</b>) imaginary parts of the complex dielectric constant of Baltic amber in the broad THz range using the damped oscillator model (DHO), Debye relaxation, and Cole–Davidson function.</p>
Full article ">
13 pages, 2482 KiB  
Article
Optical and Geometrical Properties from Terahertz Time-Domain Spectroscopy Data
by George Youssef, Nha Uyen T. Huynh and Somer Nacy
Materials 2024, 17(23), 5854; https://doi.org/10.3390/ma17235854 - 29 Nov 2024
Viewed by 476
Abstract
Terahertz waves are nondestructive and non-ionizing to synthetic and natural materials, including polymeric and biological materials. As a result, terahertz-based spectroscopy has emerged as a suitable technique to uncover fundamental molecular mechanisms and material properties in this electromagnetic spectrum regime. In terahertz time-domain [...] Read more.
Terahertz waves are nondestructive and non-ionizing to synthetic and natural materials, including polymeric and biological materials. As a result, terahertz-based spectroscopy has emerged as a suitable technique to uncover fundamental molecular mechanisms and material properties in this electromagnetic spectrum regime. In terahertz time-domain spectroscopy (THz-TDS), the material’s optical properties are resolved using the raw time-domain signals collected from the sample and air reference data depending on accurate prior knowledge of the sample geometry. Alternatively, different spectral analysis algorithms can extract the complex index of refraction of optically thick or optically thin samples without specific thickness knowledge. A THz-TDS signal without apparent Fabry–Pérot oscillations is commonly associated with optically thin samples, whereas the terahertz signal of optically thick samples exhibits distinct Fabry–Pérot oscillations. While several extraction algorithms have been reported a priori, the steps from reducing the time-domain signal to calculating the complex index of refraction and resolving the correct thickness can be daunting and intimidating while obscuring important steps. Therefore, the objective is to decipher, demystify, and demonstrate the extraction algorithms for Fabry–Pérot-absent and -present terahertz signals for various polymers with different molecular structure classifications and nonlinear optical crystal zinc telluride. The experimental results were in good agreement with previously published values while elucidating the contributions of the molecular structure to the stability of the algorithms. Finally, the necessary condition for manifesting Fabry–Pérot oscillations was delineated. Full article
(This article belongs to the Special Issue Terahertz Materials and Technologies in Materials Science)
Show Figures

Figure 1

Figure 1
<p>Typical time-domain signals (<b>a</b>) with and (<b>b</b>) without Fabry–Pérot (FP) oscillations. The signals were vertically shifted for better visualization.</p>
Full article ">Figure 2
<p>Step-by-step diagram of the parameter extraction algorithm from THz signals without apparent Fabry–Pérot (FP) oscillations.</p>
Full article ">Figure 3
<p>Step-by-step diagram for the properties extraction algorithm from THz-TDS time-domain data with apparent Fabry–Pérot (FP) oscillations.</p>
Full article ">Figure 4
<p>A composite of the results, thickness, real index, and absorption coefficient, based on applying properties extraction algorithm outlined in <a href="#sec2dot1-materials-17-05854" class="html-sec">Section 2.1</a> on THz-TDS signals from (<b>a</b>) low-density polyethylene (LDPE), (<b>b</b>) polyoxymethylene (POM), and (<b>c</b>) polyurea (PU).</p>
Full article ">Figure 5
<p>Comparison of the refractive indexes and absorption coefficients of black (POM<sub>Bl</sub>) and white (POM<sub>Wh</sub>) polyoxymethylene at the corresponding optimal thicknesses.</p>
Full article ">Figure 6
<p>Resulting (<b>a</b>) optimal thickness, (<b>b</b>) refractive index, and (<b>c</b>) absorption coefficient of ZnTe based on the algorithm using THz signals with apparent Fabry–Pérot echoes.</p>
Full article ">
13 pages, 7300 KiB  
Article
The Use of Terahertz Computed Tomography and Time Domain Spectroscopy to Evaluate Symmetry in 3D Printed Parts
by Dolores Termini, John Federici, Ian Gatley and Louis Rizzo
Polymers 2024, 16(23), 3296; https://doi.org/10.3390/polym16233296 - 26 Nov 2024
Viewed by 470
Abstract
3D printing has become essential to many fields for its low-cost production and rapid prototyping abilities. As 3D printing becomes an alternative manufacturing tool, developing methods to non-destructively evaluate defects for quality control is essential. This study integrates the non-destructive terahertz (THz) analysis [...] Read more.
3D printing has become essential to many fields for its low-cost production and rapid prototyping abilities. As 3D printing becomes an alternative manufacturing tool, developing methods to non-destructively evaluate defects for quality control is essential. This study integrates the non-destructive terahertz (THz) analysis methods of terahertz time-domain spectroscopy (THz-TDS) and terahertz computed tomography (THz CT) to image and assess 3D printed resin structures for defects. The terahertz images were reconstructed using MATLAB, and the rotational symmetry of various structures before and after the introduction of defects was evaluated by calculating the mean squared deviation (MSD), which served as a symmetry parameter to indicate the presence of defects. Structures A and B had MSD values that were at least three standard deviations larger after introducing defects to their structures, showing a significant change in symmetry and indicating the existence of defects. Similarly, in structure C, blockages in parts made with different post-cures were identified based on the increase in MSD values for those slices. For structure D, the presence of a defect increased the MSD value by 14%. The results of this study verify that the MSD calculated for the rotational symmetry of the structures was greater when defects were present, accurately reflecting the anticipated breaks in symmetry. This paper demonstrates that terahertz imaging, combined with MSD analysis, is a viable procedure to identify and quantify defects in rotationally symmetric 3D printed structures. Full article
Show Figures

Figure 1

Figure 1
<p>3D printed structures with various rotational symmetries: (<b>a</b>) structure A side profile, (<b>b</b>) bottom of structure A with holes that propagate through the structure in the y-direction and trifold symmetry marked with lines of symmetry, (<b>c</b>) structure B side profile with external 2 mm defect circled, (<b>d</b>) bottom of structure B with the hole that propagates through the structure in the y-direction, (<b>e</b>) structure C side profile, (<b>f</b>) bottom of structure C with the seven holes that propagates through the structure in the y-direction and six-fold symmetry marked with lines of symmetry, (<b>g</b>) structure D front profile with an external 4 mm dental wax defect circled and twofold symmetry marked with a horizontal line.</p>
Full article ">Figure 2
<p>Schematic of THz CT apparatus layout: (A) The upside-down 360° rotational stage is controlled by a LabView program, (B) A 3D printed container filled with mineral oil to provide a planar surface, (C) The structure is glued to a (D) 3D printed mount that allows mineral oil to flow through the holes. The mount is screwed into a most that is screwed into the 360° rotational stage, (E) The XY stage between the terahertz transmitter and receiver that the THz CT apparatus is mounted upon. From this view, the x-direction of the translational stage is in and out of the page, while the y-direction is up and down.</p>
Full article ">Figure 3
<p>Structure A THz CT slice reconstructions in MATLAB: (<b>a</b>) structure A slice without defects, (<b>b</b>) structure A slice with an artificial defect indicated by the red circle, and (<b>c</b>) structure A slice with one hole filled with air indicated by the red circle.</p>
Full article ">Figure 4
<p>Structure B THz CT slice reconstructions in FIJI and MATLAB: (<b>a</b>) shows a FIJI reconstruction of structure B with internal and external defects, used to identify the location of the defects, with red arrows pointing to different cross-sectional areas of the reconstruction, (<b>b</b>) MATLAB plot of structure B with an external defect and inconsistencies pointed out by the red arrows, (<b>c</b>) MATLAB plot of a structure B slice without defects, and (<b>d</b>) MATLAB plot of a structure B with an internal defect and inconsistencies pointed out by the red arrows.</p>
Full article ">Figure 5
<p>Structure C THz CT slice reconstructions in MATLAB: (<b>a</b>) no post-cure slices without defects, (<b>b</b>) thermal post-cure slice without defects, (<b>c</b>) thermal post-cure slice with blockages, (<b>d</b>) UV post-cure slice without defects, and (<b>e</b>) UV post-cure slice with blockages.</p>
Full article ">Figure 6
<p>Structure D THz-TDS plots in MATLAB: (<b>a</b>) structure D front profile and (<b>b</b>) structure D with an external 4 mm defect circled in red.</p>
Full article ">
14 pages, 5927 KiB  
Article
Terahertz Spectroscopy in Assessing Temperature-Shock Effects on Citrus
by Junbo Wang, Ziyi Zang, Xiaomei Li, Dongyun Tang, Qi Xiao, Mingkun Zhang and Shihan Yan
Sensors 2024, 24(22), 7315; https://doi.org/10.3390/s24227315 - 15 Nov 2024
Viewed by 526
Abstract
Rapid assessment of physiological status is a precondition for addressing biological stress in trees so that they may recover. Environmental stress can cause water deficit in plants, while terahertz (THz) spectroscopy is sensitive to changes in aqueous solutions within organisms. This has given [...] Read more.
Rapid assessment of physiological status is a precondition for addressing biological stress in trees so that they may recover. Environmental stress can cause water deficit in plants, while terahertz (THz) spectroscopy is sensitive to changes in aqueous solutions within organisms. This has given the THz sensor a competitive edge for evaluating plant phenotypes, especially under similar environmental stress, if there are existing differences in the corresponding THz information. In this study, we utilized THz technology in association with traditional weighing methods to explore physiological changes in citrus leaves under different temperature, duration, and stress treatment conditions. It was found that the higher the temperature and the longer the exposure duration, the more severe the reduction in the relative absorption coefficient. There was a positive correlation between the trends and the increase in the ion permeability of cells. In addition, based on the effective medium theory, THz spectral information can be transformed into information on free water and bound water in the leaves. Under different treatment conditions, water content shows different trends and degrees of change on the time scale, and accuracy was verified by traditional weighing methods. These findings revealed that characteristics of THz information can serve as a simple and clear indicator for judging a plant’s physiological status. Full article
Show Figures

Figure 1

Figure 1
<p>Schematic diagram of the experimental process.</p>
Full article ">Figure 2
<p>THz-TDS system (<b>a</b>), THz spectral measurement in working mode (<b>b</b>), and sample holder with leaf sample (<b>c</b>).</p>
Full article ">Figure 3
<p>Relative absorption coefficient of leaves after high−temperature stress at 30 °C (<b>a</b>), 35 °C (<b>b</b>), 40 °C (<b>c</b>) for 1, 2, 4, 6 and 16 h, and (<b>d</b>) linear fitting curves. The original reference zero is shown as red dashed line.</p>
Full article ">Figure 4
<p>Volume fraction of water, free water, and bound water and the ratio of bound water and free water in leaves after high-temperature stress at 30 °C, 35 °C, and 40 °C for 1, 2, 4, 6, and 16 h based on THz spectroscopy.</p>
Full article ">Figure 5
<p>Correlation analysis of relative electrolyte leakage rate and relative absorption coefficient.</p>
Full article ">Figure 6
<p>Correlation analysis of leaf WC (<b>a</b>), FWC (<b>b</b>), BWC (<b>c</b>), and BWC/FWC (<b>d</b>) content measured using THz spectroscopy and gravimetric methods.</p>
Full article ">Figure 7
<p>Linear fitting curves of relative absorption coefficients of leaves under five consecutive intermittent high−temperature cycles.</p>
Full article ">Figure 8
<p>Relative change in volume fraction of water, free water, bound water, and the ratio of bound water and free water in leaves under 5 consecutive intermittent high−temperature cycles at 30 °C, 35 °C, and 40 °C using THz spectroscopy.</p>
Full article ">
26 pages, 16612 KiB  
Article
Dynamic Analysis and Vibration Control of Additively Manufactured Thin-Walled Polylactic Acid Polymer (PLAP) and PLAP Composite Beam Structures: Numerical Investigation and Experimental Validation
by Ali Raza, Magdalena Mieloszyk, Rūta Rimašauskienė and Vytautas Jūrėnas
Materials 2024, 17(22), 5478; https://doi.org/10.3390/ma17225478 - 9 Nov 2024
Viewed by 694
Abstract
This study primarily presents a numerical investigation of the dynamic behavior and vibration control in thin-walled, additively manufactured (AM) beam structures, validated through experimental results. Vibration control in thin-walled structures has gained significant attention recently because vibrations can severely affect structural integrity. Therefore, [...] Read more.
This study primarily presents a numerical investigation of the dynamic behavior and vibration control in thin-walled, additively manufactured (AM) beam structures, validated through experimental results. Vibration control in thin-walled structures has gained significant attention recently because vibrations can severely affect structural integrity. Therefore, it is necessary to minimize these vibrations or keep them within acceptable limits to ensure the structure’s integrity. In this study, the AM beam structures were made of polylactic acid polymer (PLAP), short carbon fiber reinforced in PLAP (SCFR|PLAP), and continuous carbon fiber reinforced in PLAP (CCFR|PLAP), with 0°|0° layer orientations. The finite element modeling (FEM) of the AM beam structures integrated with macro fiber composite (MFC) was carried out in Abaqus. The initial four modal frequencies of bending modes (BMs) and their respective modal shapes were acquired through numerical simulation. It is crucial to highlight the numerical findings that reveal discrepancies in the 1st modal frequencies of the beams, ranging up to 1.5% compared to their respective experimental values. For the 2nd, 3rd, and 4th modal frequencies, the discrepancies are within 10%. Subsequently, frequency response analysis (FRA) was carried out to observe the frequency-dependent vibration amplitude spectrum at the initial four BM frequencies. Despite discrepancy in the amplitude values between the numerical and experimental datasets, there was consistency in the overall amplitude behavior as frequency varied. THz spectroscopy was performed to identify voids or misalignment errors in the actual beam models. Finally, vibration amplitude control using MFC (M8507-P2) was examined in each kinematically excited numerical beam structure. After applying a counterforce with the MFC, the controlled vibration amplitudes for the PLAP, SCFR|PLAP, and CCFR|PLAP configurations were approximately ±19 µm, ±16 µm, and ±13 µm, respectively. The trend in the controlled amplitudes observed in the numerical findings was consistent with the experimental results. The numerical findings of the study reveal valuable insights for estimating trends related to vibration control in AM beam structures. Full article
Show Figures

Figure 1

Figure 1
<p>Overview of steps involved in numerical simulation.</p>
Full article ">Figure 2
<p>Modeling beam structures oriented at 0°|0°: (<b>a</b>) approach for PLAP and SCFR|PLAP beam structures and (<b>b</b>) approach for CCFR|PLAP.</p>
Full article ">Figure 3
<p>Beam structures integrated with MFC, illustrating boundary conditions (units in mm): (<b>a</b>) FEM model and (<b>b</b>) schematic view of experimental sample.</p>
Full article ">Figure 4
<p>Schematic depiction of beam structure with MFC to assess frequency-dependent dynamic behavior.</p>
Full article ">Figure 5
<p>Non-destructive C-scanning of beam structures to identify the internal defects: (<b>a</b>) THz spectrometer setup for experiment and (<b>b</b>) illustration identifying internal defects.</p>
Full article ">Figure 6
<p>Initial four bending modes of MFC-integrated 0°|0°-oriented beam structures: (<b>a</b>) bending modes _0°|0° PLAP, (<b>b</b>) bending modes _0°|0° SCFR|PLAP, and (<b>c</b>) bending modes _0°|0° CCFR|PLAP.</p>
Full article ">Figure 6 Cont.
<p>Initial four bending modes of MFC-integrated 0°|0°-oriented beam structures: (<b>a</b>) bending modes _0°|0° PLAP, (<b>b</b>) bending modes _0°|0° SCFR|PLAP, and (<b>c</b>) bending modes _0°|0° CCFR|PLAP.</p>
Full article ">Figure 7
<p>Node locations on beam structure integrated with MFC: (<b>a</b>) node locations on AM beam and (<b>b</b>) node locations on AM beam.</p>
Full article ">Figure 8
<p>Frequency-dependent amplitude spectrum of 0°|0°-oriented beam structures: (<b>a</b>) numerical data and (<b>b</b>) experimental data.</p>
Full article ">Figure 9
<p>PLAP surfaces: (<b>a</b>) upper surface, (<b>b</b>) bottom surface, and (<b>c</b>) metal table.</p>
Full article ">Figure 10
<p>SCFR|PLAP surfaces: (<b>a</b>) upper surface, (<b>b</b>) bottom surface, and (<b>c</b>) metal table.</p>
Full article ">Figure 11
<p>CCFR|PLAP surfaces: (<b>a</b>) upper surface, (<b>b</b>) bottom surface, and (<b>c</b>) metal plate.</p>
Full article ">Figure 12
<p>Vibration amplitude analysis in 0°|0° PLAP beam structure: (<b>a</b>) uncontrolled vibration amplitude and (<b>b</b>) controlled vibration amplitude.</p>
Full article ">Figure 13
<p>Vibration amplitude analysis in 0°|0° SCFR|PLAP beam structure: (<b>a</b>) uncontrolled vibration amplitude and (<b>b</b>) controlled vibration amplitude.</p>
Full article ">Figure 14
<p>Vibration amplitude analysis in 0°|0° CCFR|PLAP beam structure: (<b>a</b>) uncontrolled vibration amplitude and (<b>b</b>) controlled vibration amplitude.</p>
Full article ">
14 pages, 2443 KiB  
Article
Exploring the Impact of 3D Printing Parameters on the THz Optical Characteristics of COC Material
by Mateusz Kaluza, Michal Walczakowski and Agnieszka Siemion
Materials 2024, 17(20), 5104; https://doi.org/10.3390/ma17205104 - 19 Oct 2024
Viewed by 871
Abstract
In terahertz (THz) optical systems, polymer-based manufacturing processes are employed to ensure product quality and the material performance necessary for proper system maintenance. Therefore, the precise manufacturing of system components, such as optical elements, is crucial for the optimal functioning of the systems. [...] Read more.
In terahertz (THz) optical systems, polymer-based manufacturing processes are employed to ensure product quality and the material performance necessary for proper system maintenance. Therefore, the precise manufacturing of system components, such as optical elements, is crucial for the optimal functioning of the systems. In this study, the authors investigated the impact of various 3D printing parameters using fused deposition modeling (FDM) on the optical properties of manufactured structures within the THz radiation range. The measurements were conducted on 3D printed samples using highly transparent and biocompatible cyclic olefin copolymer (COC), which may find applications in THz passive optics for “in vivo” measurements. The results of this study indicate that certain printing parameters significantly affect the optical behavior of the fabricated structures. The improperly configured printing parameters result in the worsening of THz optical properties. This is proved through a significant change in the refractive index value and undesirable increase in the absorption coefficient value. Furthermore, such misconfigurations may lead to the occurrence of defects within the printed structures. Finally, the recommended printing parameters, which improve the optical performance of the manufactured structures are presented. Full article
(This article belongs to the Special Issue Polymers, Processing and Sustainability)
Show Figures

Graphical abstract

Graphical abstract
Full article ">Figure 1
<p>Spatial model of the cylindrical sample sliced using reference printing parameters with various infill patterns. The colors of the sliced objects indicate the predicted printing speeds achieved by the nozzle during the printing process. (<b>a</b>) Three-dimensional model of the sample; (<b>b</b>) sliced model with (aligned) rectilinear infill; (<b>c</b>) sliced model with concentric infill; (<b>d</b>) sliced model with octagram spiral infill.</p>
Full article ">Figure 2
<p>Exemplary 3D printed samples manufactured from COC material using FDM technology, subsequently examined with THz TDS; (<b>a</b>,<b>b</b>) reference samples without visible deformations; (<b>c</b>,<b>d</b>) samples manufactured with too-thick layers that result in deformations (marked with a red outline and red arrows) in the central part of the samples; (<b>e</b>,<b>f</b>) samples printed with an overly high material flow rate that results in overflowing material leading to the deformations (marked with a red outline and red arrows) visible on the top surface and the edges of the samples.</p>
Full article ">Figure 3
<p>Three-dimensional printed samples manufactured from COC material using FDM technology, subsequently examined with THz TDS. The photographs correspond to the samples manufactured with different infill patterns: (<b>a</b>) rectilinear; (<b>b</b>) aligned rectilinear; (<b>c</b>) concentric; (<b>d</b>) octagram spiral; and (<b>e</b>) the cuboid sample printed in the vertical position with rectilinear infill pattern.</p>
Full article ">Figure 4
<p>THz TDS measurement results obtained from two different reference samples, each measured twice at appropriate time intervals. Each measurement was performed with a corresponding reference measurement (signal without the sample) and covered different sample areas; (<b>a</b>) the absorption coefficient <math display="inline"><semantics> <mi>α</mi> </semantics></math> (solid lines) and refractive index <span class="html-italic">n</span> (dashed lines) in the THz frequency domain, displayed over a broader data range common to all measurements presented in this study; (<b>b</b>) the absorption coefficient in the THz frequency domain; (<b>c</b>) the refractive index in the THz frequency domain.</p>
Full article ">Figure 5
<p>THz optical properties of COC samples 3D printed using FDM, illustrating the impact of changes in various printing parameters. The data show the measured absorption coefficient <math display="inline"><semantics> <mi>α</mi> </semantics></math> (solid lines) and refractive index <span class="html-italic">n</span> (dashed lines) in the THz frequency domain, indicating the influence of the following printing parameters: (<b>a</b>) nozzle temperatures; (<b>b</b>) nozzle diameters; (<b>c</b>) printing speed; (<b>d</b>) infill patterns. The change in these parameters does not change the THz optical parameters of the samples.</p>
Full article ">Figure 6
<p>THz optical properties of COC samples 3D printed using FDM, illustrating the impact of changes in various printing parameters. The data show the measured absorption coefficient <math display="inline"><semantics> <mi>α</mi> </semantics></math> (solid lines) and refractive index <span class="html-italic">n</span> (dashed lines) in the THz frequency domain, indicating the influence of the following printing parameters: (<b>a</b>) extrusion width; (<b>b</b>) cooling level; (<b>c</b>) material flow ratio; (<b>d</b>) line thickness. The change in these parameters introduce changes in the THz optical parameters of the samples.</p>
Full article ">
16 pages, 3710 KiB  
Article
Experimental Analysis of Terahertz Wave Scattering Characteristics of Simulated Lunar Regolith Surface
by Suyun Wang and Kazuma Hiramatsu
Remote Sens. 2024, 16(20), 3819; https://doi.org/10.3390/rs16203819 - 14 Oct 2024
Cited by 1 | Viewed by 813
Abstract
This study investigates terahertz (THz) wave scattering from a simulated lunar regolith surface, with a focus on the Brewster feature, backscattering, and bistatic scattering within the 325 to 500 GHz range. We employed a generalized power-law spectrum to characterize surface roughness and fabricated [...] Read more.
This study investigates terahertz (THz) wave scattering from a simulated lunar regolith surface, with a focus on the Brewster feature, backscattering, and bistatic scattering within the 325 to 500 GHz range. We employed a generalized power-law spectrum to characterize surface roughness and fabricated Gaussian correlated surfaces from Durable Resin V2 using 3D printing technology. The complex dielectric permittivity of these materials was determined through THz time-domain spectroscopy (THz-TDS). Our experimental setup comprised a vector network analyzer (VNA) equipped with dual waveguide frequency extenders for the WR-2.2 band, transmitter and receiver modules, polarizing components, and a scattering chamber. We systematically analyzed the effects of root-mean-square (RMS) height, correlation length, dielectric constant, frequency, polarization, and observation angle on THz scattering. The findings highlight the significant impact of surface roughness on the Brewster angle shift, backscattering, and bistatic scattering. These insights are crucial for refining theoretical models and developing algorithms to retrieve physical parameters for lunar and other celestial explorations. Full article
(This article belongs to the Special Issue Future of Lunar Exploration)
Show Figures

Figure 1

Figure 1
<p>The geometry of wave scattering from rough surface.</p>
Full article ">Figure 2
<p>The rough surface samples are designed with specified RMS heights and correlation lengths.</p>
Full article ">Figure 3
<p>The measured dielectric constant of the material by THz-TDS.</p>
Full article ">Figure 4
<p>The roughness validation of one selected rough surface with an RMS height of 0.8<math display="inline"><semantics> <mi>λ</mi> </semantics></math> and a correlation length of 2<math display="inline"><semantics> <mi>λ</mi> </semantics></math>.</p>
Full article ">Figure 5
<p>The experiment configuration.</p>
Full article ">Figure 6
<p>The polarizer consists of three reflectors.</p>
Full article ">Figure 7
<p>The comparison between the simulated and experimental HH and VV reflections from a flat surface with a dielectric constant of <math display="inline"><semantics> <mrow> <mn>2.597</mn> <mo>+</mo> <mi>j</mi> <mn>0.165</mn> </mrow> </semantics></math>.</p>
Full article ">Figure 8
<p>The frequency effect on THz scattering from rough surface.</p>
Full article ">Figure 9
<p>The correlation length effect on THz scattering from rough surface. (<b>a</b>) <math display="inline"><semantics> <mi>σ</mi> </semantics></math> = 0.8<math display="inline"><semantics> <mi>λ</mi> </semantics></math> (<b>b</b>) <math display="inline"><semantics> <mi>σ</mi> </semantics></math> = 0.1<math display="inline"><semantics> <mi>λ</mi> </semantics></math>.</p>
Full article ">Figure 10
<p>The RMS height effect on THz scattering from rough surface. (<b>a</b>) <span class="html-italic">l</span> = 2<math display="inline"><semantics> <mi>λ</mi> </semantics></math> (<b>b</b>) <span class="html-italic">l</span> = 0.4<math display="inline"><semantics> <mi>λ</mi> </semantics></math>.</p>
Full article ">Figure 11
<p>Comparison of bistatic scattering from flat and rough surfaces with RMS heights of 0.5<math display="inline"><semantics> <mi>λ</mi> </semantics></math> and 0.8<math display="inline"><semantics> <mi>λ</mi> </semantics></math> and a fixed correlation length of 2<math display="inline"><semantics> <mi>λ</mi> </semantics></math> at incident angles of 30°, 45°, and 60° for both HH and VV polarizations.</p>
Full article ">Figure 12
<p>Comparison of bistatic scattering from flat and rough surfaces with RMS heights of 0.1<math display="inline"><semantics> <mi>λ</mi> </semantics></math> and 0.08<math display="inline"><semantics> <mi>λ</mi> </semantics></math> and a fixed correlation length of 0.4<math display="inline"><semantics> <mi>λ</mi> </semantics></math> at incident angles of 30°, 45°, and 60° for both HH and VV polarizations.</p>
Full article ">Figure 13
<p>Comparison of bistatic scattering from the flat surface and rough surface with different correlation lengths of 2<math display="inline"><semantics> <mi>λ</mi> </semantics></math>, 4<math display="inline"><semantics> <mi>λ</mi> </semantics></math> and 6<math display="inline"><semantics> <mi>λ</mi> </semantics></math> and a fixed RMS height of 0.8<math display="inline"><semantics> <mi>λ</mi> </semantics></math> at the incident angle of 30°, 45° and 60° for HH and VV polarizations.</p>
Full article ">Figure 14
<p>Comparison of bistatic scattering from rough surfaces with correlation lengths of 1.5<math display="inline"><semantics> <mi>λ</mi> </semantics></math>, 1<math display="inline"><semantics> <mi>λ</mi> </semantics></math>, and 0.4<math display="inline"><semantics> <mi>λ</mi> </semantics></math> and a fixed RMS height of 0.1<math display="inline"><semantics> <mi>λ</mi> </semantics></math> at incident angles of 30°, 45°, and 60° for both HH and VV polarizations.</p>
Full article ">Figure 15
<p>Comparison of three different incident angles 30°, 45°, and 60° for HH and VV polarizations from a Gaussian correlated surface of <span class="html-italic">l</span> = 1.0 <math display="inline"><semantics> <mi>λ</mi> </semantics></math>, <math display="inline"><semantics> <mi>σ</mi> </semantics></math> = 0.1 <math display="inline"><semantics> <mi>λ</mi> </semantics></math>. ((<b>left</b>): VV polarization, (<b>right</b>): HH polarization).</p>
Full article ">Figure 16
<p>Comparison of three different incident angles 30°, 45°, and 60° for HH and VV polarizations from a Gaussian correlated surface of <span class="html-italic">l</span> = 2.0 <math display="inline"><semantics> <mi>λ</mi> </semantics></math>, <math display="inline"><semantics> <mi>σ</mi> </semantics></math> = 0.5 <math display="inline"><semantics> <mi>λ</mi> </semantics></math>. ((<b>left</b>): VV polarization, (<b>right</b>): HH polarization).</p>
Full article ">
14 pages, 13361 KiB  
Article
Multimodal Non-Destructive In Situ Observation of Crystallinity Changes in High-Density Polyethylene Samples with Relation to Optical Parameters during Tensile Deformation
by Karoline Felbermayer, Sandrine van Frank, Bettina Heise, Markus Brandstetter, Christian Rankl, Harald Ladner and Peter Burgholzer
Sensors 2024, 24(19), 6367; https://doi.org/10.3390/s24196367 - 30 Sep 2024
Viewed by 882
Abstract
Many non-destructive optical testing methods are currently used for material research, providing various information about material parameters. At RECENDT, a multimodal experimental setup has been designed that combines terahertz (THz) spectroscopy, optical coherence tomography (OCT), infrared (IR), and Raman spectroscopy with a tensile [...] Read more.
Many non-destructive optical testing methods are currently used for material research, providing various information about material parameters. At RECENDT, a multimodal experimental setup has been designed that combines terahertz (THz) spectroscopy, optical coherence tomography (OCT), infrared (IR), and Raman spectroscopy with a tensile test stage. This setup aims to gather material information such as crystallinity and optical parameters of high-density polyethylene (HDPE) during a tensile test. The setup compares common IR and Raman spectroscopy and the less common optical methods THz and OCT. Complementarity is achieved through different frequency ranges and measurement approaches, resulting in different measured optical material parameters and depths. During tensile testing, HDPE samples with varying crystallinity were analysed, and the determined optical parameters such as refractive index, birefringence, scattering coefficient of decay, and penetration depth can be correlated with the change in crystallinity. These findings demonstrate that the optical methods and their outcomes can be interconnected. With further optimization of the experimental setup, it would be possible to observe the alignment of fibres in fibre composite panels and the stress distribution of polymers effectively. This opens interesting possibilities for polymer characterization in the future, including quality control during moulding processes and material testing. Full article
(This article belongs to the Special Issue Sensors in Nondestructive Testing)
Show Figures

Figure 1

Figure 1
<p>(<b>a</b>) THz pulse measured in air as reference (blue) and through an HDPE sample (red) in transmission with a spot size of 1 cm. (<b>b</b>) The fast Fourier-transformed THz spectra of the air reference pulse (blue) and the sample pulse (red).</p>
Full article ">Figure 2
<p>(<b>a</b>) The B-scan of an HDPE sample over a lateral scan range of 4 mm and a depth of 3.6 mm. (<b>b</b>) The mean A-scan averaged over the lateral scan range in the B-scan. It shows the penetration depth d<sub>p</sub> (green line) at 1 dB level (+Offset) and the scattering decay coefficient θ (black line), here the 10 dB decay.</p>
Full article ">Figure 3
<p>Photos of the punched samples for the tensile test from the front side (<b>left</b> picture) and from the cross-section (<b>right</b> picture). The numbers of samples, 1 to 3, define the different crystallisation states of the samples (1: low, 2: standard and 3: high crystallisation). The form of the sample was designed to fit perfectly in the tensile stage.</p>
Full article ">Figure 4
<p>(<b>a</b>) Schematic drawing of the multimodal experimental setup. The OCT laser beam is through an ITO (indium tin oxide glass) window focused on the sample from the left side. The Raman setup is measured from the right side. Also, the THz radiation is focused from the left side of the sample and deflected at the ITO window to the THz antenna. (<b>b</b>) Photo of the multimodal experimental setup, containing Raman, OCT and THz configuration, from different viewpoints.</p>
Full article ">Figure 5
<p>(<b>a</b>) Photo of the cross-sectional 3 jointed HDPE samples with the FTIR microscope scanning area marked as red box. (<b>b</b>) The calculated crystallinity over the cross-sections from ATR FTIR spectra bands I<sub>A</sub> (1464 cm<sup>−1</sup>) and I<sub>C</sub> (1474 cm<sup>−1</sup>) are based on Equation (1) [<a href="#B13-sensors-24-06367" class="html-bibr">13</a>].</p>
Full article ">Figure 6
<p>OCT mean A-scans of the HDPE samples 001–003 with plateau (red arrow), recorded at the start (First-), mid (During-), and end of the tensile test. The blue vertical line shows the 1 dB level and the black dashed line shows the decay parameter.</p>
Full article ">Figure 7
<p>Comparison of the features extracted by OCT imaging over time: change in (<b>a</b>) the thickness, (<b>b</b>) penetration depth, and (<b>c</b>) scattering coefficient of decay of the OCT mean A-scans of HDPE samples (HDPE001—blue line, HDPE002—orange line, HDPE003—green line) during the tensile test.</p>
Full article ">Figure 8
<p>Comparison of the extracted features of the sample <span class="html-italic">HDPE001</span> recorded over time: (<b>a</b>) the measured force at the tensile stage and the change in the sample thickness; (<b>b</b>) crystallinity X<sub>C</sub> [%] estimated with Raman spectroscopy; (<b>c</b>,<b>d</b>) refractive indices at 0° (black dots) and 90° (blue dots) and the birefringence (red dots) estimated with polarization-sensitive THz measurements, each fitted with a polynomial regression (corresponding dashed lines); (<b>e</b>,<b>f</b>) are both parameters determined from OCT data: decay parameter <math display="inline"><semantics> <mrow> <mi>θ</mi> </mrow> </semantics></math> and penetration depth <math display="inline"><semantics> <msub> <mi>d</mi> <mi>p</mi> </msub> </semantics></math>.</p>
Full article ">Figure 9
<p>Comparison of the extracted features of the sample <span class="html-italic">HDPE002</span> recorded over time: (<b>a</b>) the force measured at the tensile stage and the change in the sample thickness; (<b>b</b>) crystallinity X<sub>C</sub> [%] estimated with Raman spectroscopy; (<b>c</b>,<b>d</b>) refractive indices at 0° (black dots) and 90° (blue dots) and the birefringence (red dots) estimated with polarization-sensitive THz measurements, each fitted with a polynomial regression (corresponding dashed lines); (<b>e</b>,<b>f</b>) are both parameters determined from OCT data: decay parameter <math display="inline"><semantics> <mrow> <mi>θ</mi> </mrow> </semantics></math> and penetration depth <math display="inline"><semantics> <msub> <mi>d</mi> <mi>p</mi> </msub> </semantics></math>.</p>
Full article ">Figure 10
<p>Comparison of the extracted features of the sample <span class="html-italic">HDPE003</span> recorded over time: (<b>a</b>) the force measured at the tensile stage and the change in the sample thickness; (<b>b</b>) crystallinity X<sub>C</sub> [%] estimated with Raman spectroscopy; (<b>c</b>,<b>d</b>) refractive indices at 0° (black dots) and 90° (blue dots) and the birefringence (red dots) estimated with polarization-sensitive THz measurements, each fitted with a polynomial regression (corresponding dashed lines); (<b>e</b>,<b>f</b>) are both parameters determined from OCT data: decay parameter <math display="inline"><semantics> <mrow> <mi>θ</mi> </mrow> </semantics></math> and penetration depth <math display="inline"><semantics> <msub> <mi>d</mi> <mi>p</mi> </msub> </semantics></math>.</p>
Full article ">
10 pages, 4702 KiB  
Article
Large Dynamic Range Spectral Measurement in Terahertz Region Based on Frequency Up-Conversion Detection via OH1 Crystal
by Jiasheng Yuan, Quanxin Guo, Xingyu Zhang, Naichang Liu, Xiaoqin Yin, Na Ming, Liyuan Guo, Binzhe Jiao, Kaiyu Wang and Shuzhen Fan
Sensors 2024, 24(19), 6245; https://doi.org/10.3390/s24196245 - 26 Sep 2024
Viewed by 718
Abstract
Terahertz spectroscopy systems, which integrate terahertz sources and detectors, have important applications in many fields such as materials science and security checking. Based on highly sensitive frequency up-conversion detection, large dynamic range spectral measurements in a terahertz region are reported. Our system realized [...] Read more.
Terahertz spectroscopy systems, which integrate terahertz sources and detectors, have important applications in many fields such as materials science and security checking. Based on highly sensitive frequency up-conversion detection, large dynamic range spectral measurements in a terahertz region are reported. Our system realized the detection sensitivity at a 10 aJ level with a 2-(3-(4-hydroxystyryl)-5,5-dime-thylcyclohex-2-enylidene) malononitrile (OH1) crystal and a dynamic range up to seven orders. Based on this system, we verified the validity of the spectral measurement with tests which were conducted on monohydrate glucose, anhydrous glucose and mixed tablet samples with a thickness of 0.8 mm in 1~3 THz, respectively. Also, a mini coppery elbow tube with an inner diameter of 1 mm was used for the transmission of a terahertz wave to simulate some strip biological tissue samples. By allowing terahertz to transmit through this tube filled with 0.5 g glucose powder, we successfully obtained the absorption spectrum with a minimum transmittance at the absorption peak in the order of 10−4. Full article
Show Figures

Figure 1

Figure 1
<p>THz up-conversion spectrum measurement system based on OH1 crystal. PBS: polarizing beam splitter; HWP: half-wave plate; OAPs: off-axis parabolic mirrors; BIE: beam isolation enhancer; PD: photodetector; iris: aperture; The red arrows represent the optical paths of NIR light λ<sub>1</sub>; The blue arrows represent the optical paths of the NIR light λ<sub>2</sub>; The yellow area represents the THz transmission path; The green arrows represent the optical paths of the pump source with wavelength of 532 nm.</p>
Full article ">Figure 2
<p>THz spectrum measuring device with a mini coppery elbow tube; M1: mirror; The red arrow represents the optical path of NIR light λ<sub>1</sub>; The blue arrow represents the optical path of the NIR light λ<sub>2</sub>; The yellow area (black arrow) represents the THz transmission path.</p>
Full article ">Figure 3
<p>(<b>a</b>) Amplitude of different detectors as THz energy attenuates at 1.9 THz; (<b>b</b>) OH1 crystal output curve and background in 1~3 THz detected by PIN detector.</p>
Full article ">Figure 4
<p>Absorption spectrum of (<b>a</b>) monohydrate glucose and (<b>b</b>) anhydrous glucose at THz band.</p>
Full article ">Figure 5
<p>Absorption spectrum of mixed sample of monohydrate glucose and anhydrous glucose at THz band.</p>
Full article ">Figure 6
<p>(<b>a</b>) The transmittance of A4 paper in the THz band. (<b>b</b>) THz spectrum of monohydrate glucose wrapped in A4 paper. (<b>c</b>) Calculating the THz spectrum of monohydrate glucose with the A4 paper packaging removed.</p>
Full article ">Figure 7
<p>THz absorption spectrum of monohydrate glucose powder in the mini coppery elbow tube.</p>
Full article ">
Back to TopTop