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09:00 - 09:15
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Manuscript ID. 0566
Paper No. 2023-SUN-S0906-O001
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| M Rivaldi Ali Septian
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The Optimization of Dual Electron Blocking Layer of Organic Photodetector using ZnPc:C60 as Active Layer
M Rivaldi Ali Septian, Ming Chi University of Technology (Taiwan); Richie Estrada, National Taiwan University of Science and Technology (Taiwan), Ming Chi University of Technology (Taiwan); Shun-Wei Liu, Ming Chi University of Technology (Taiwan)
Organic photodetector (OPD) using ZnPc:C60 as an active layer is potential absorb the red visible region. However, previous research using ZnPc:C60 as an active layer shows low detectivity. In this study, we optimize the OPD with dual electron blocking layer (EBL) using ZnPc:C60 as an active layer to enhance the detectivity.
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09:15 - 09:30
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Manuscript ID. 0066
Paper No. 2023-SUN-S0906-O002
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| Jui-Chi Chang
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Deformable Mirror and Deep Learning based Optical Dispersion Manipulation with Spatial Spectral Interferometry
Jui-Chi Chang, Xin-Li Lee, Chia-Yuan Chang, National Cheng Kung University (Taiwan)
Broadband ultrashort pulse laser characterization and compensation is required to develop the nonlinear optical application. In this paper we have integrated the optical dispersion characterization and optimization based on 4-f linear deformable mirror (LDM) pulse shaper and spatial spectral interferometry (SSI). The dispersion optimization with system identification (ID) algorithm based on Legendre polynomial could achueve up to 7 order Legendre mode, which provide a high-order dispersion modulation ability. We also show the dispersion identification with ResNet neural network model. The predict result with control voltage of LDM also shows a great agreement with ID result.
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09:30 - 09:45
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Manuscript ID. 0506
Paper No. 2023-SUN-S0906-O003
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| Anna Milatul Ummah
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Revealing a Strong Magneto-Optical Interaction in Wide Bandgap Layered MnPS3 near the Néel temperature
Anna Milatul Ummah, Yu- Hung Peng, Ching-Hwa Ho, National Taiwan University of Science and Technology (Taiwan)
This work reveals Néel ordering transformation in MnPS3. In antiferromagnetic (AFM) state, the ordered spin in 3d orbital of Mn2+ cation influences the intrinsic lattice and vibrational properties of MnPS3. The band-edge excitons of MnPS3 were detected via micro-thermoreflectance (μTR) measurements. With T
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09:45 - 10:00
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Manuscript ID. 0586
Paper No. 2023-SUN-S0906-O004
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| Chia-Ming Mai
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Non-destructive Electrical Property Estimation of Indium-Tin-Oxide Thin Film with Terahertz Spectroscopy
Chia-Ming Mai, Institute of Electronic Engineering (Taiwan); Karthickraj Muthuramalingam, Chen-Peng Hsu, Electronic and Optoelectronic System Research Laboratories (Taiwan); Shang-Hua Yang, Institute of Electronic Engineering (Taiwan)
In this work, we investigated the electrical properties of indium-tin-oxide (ITO) thin film with transmissive terahertz (THz) time-domain spectroscopy. The ITO thin film is prepared through e-gun evaporation technique on 0.5mm thick glass, whose thickness is 100nm. Through investigation by ultrafast broadband THz pulses, the complex dielectric dispersion relation can be determined. Electrical property such as sheet resistivity is estimated though fitting the dielectric constant to the Drude model, predicted as 29.9 Ω/sq. Results were in good accordance with that obtained from mature yet destructive methods.
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10:00 - 10:15
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Manuscript ID. 0872
Paper No. 2023-SUN-S0906-O005
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| Yi-Jui Yeh
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Microplasma-engineered Paper-Based Plasmonic Nanoparticles Toward Ultrasensitive SARS-CoV-2 nucleocapsid protein and spike protein variants
Yi-Jui Yeh, Kuo-Lun Tung, National Taiwan University (Taiwan); Wei-Hung Chiang, National Taiwan University of Science and Technology (Taiwan)
Here we reported the three-dimensional (3D) porous AuAgMEN with plasmonic-active nanostructures provide a high sensitivity to virus detection via the remarkable SERS signal collection. Moreover, the variant-specific antibody-functionalization on the SERS-active AuAgMEN enabled the high selectivity of the SARS-CoV-2 S variants, including wild-type, Alpha, Delta, and Omicron, under the simulated human saliva conditions. The exceptional ultrahigh sensitivity of our SERS biosensor was demonstrated via SARS-CoV-2 S and N proteins , respectively. Our work demonstrates a versatile SERS-based detection platform can be applied for the ultrasensitive detection of virus variants, infectious diseases, and cancer biomarkers.
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10:15 - 10:30
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Manuscript ID. 0985
Paper No. 2023-SUN-S0906-O006
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| Debichhanda De
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Detecting Neurotransmitters such as Dopamine, Gamma Aminobutyric Acid and Acetylcholine Chloride at low concentration using metal-based Novel SERS Substrate
Debichhanda De, Sajal Biring, Ming Chi University of Technology (Taiwan)
Surface-enhanced Raman spectroscopy (SERS) is an indispensable sensing technology in chemical as well as health sectors for its unparalleled capability of detecting Raman-active molecules accurately. Here, we have investigated on the detection of several neurotransmitters such as dopamine, gamma aminobutyric acid and acetylcholine chloride at the concentration of 10-4 M using a metal-based novel SERS substrate following a simple fabrication method. The results revealed that the above-mentioned analyte molecules can be detected unequivocally using the proposed SERS substrate. This study paves a way to detect Raman-active molecules using a cost-effective, unsophisticated SERS substrate.
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10:30 - 10:45
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Manuscript ID. 0416
Paper No. 2023-SUN-S0906-O007
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| Chia-Ling Chiang
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Feasibility Study of Surface Plasmon Resonance Enhanced Raman System - Detection of Heparin- Platelet Factor IV Complexes as an Example
Chia-Ling Chiang, National Taiwan University (Taiwan); Nan-Fu Chiu, National Taiwan Normal University (Taiwan); Chii-Wann Lin, National Taiwan University (Taiwan)
This research aims to develop a detection system integrating surface plasmon resonance and Raman spectroscopy. As an example, the feasibility of enhancement of the Raman signal by the perturbation of surface plasmon polaritons is demonstrated by heparin-platelet factor 4 complex. Our results showed that lower concentrations of analysis could be measured and confirmed that the Raman scattering signal would be enhanced at the resonance angle, which is verifying the feasibility of the system. Besides, we also found when the angle of incidence is less than the critical angle, the measured spectrum can be regarded as a general spectrum measurement result.
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10:45 - 11:00
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Manuscript ID. 0733
Paper No. 2023-SUN-S0906-O008
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| Muhammad Fajar Faliasthiunus Pradipta
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Randomized Convolutional Kernel of Mach-Zehnder Interferometer for High Accuracy Curvature Detection
Muhammad Fajar Faliasthiunus Pradipta, Brian Pamukti, Shien-Kuei Liaw, National Taiwan University of Science and Technology (Taiwan); Fu-Liang Yang, Academia Sinica (Taiwan); Hsiou-Hsin Tsai, Taipei Medical University (Taiwan)
Landslide monitoring necessitates timely and precise detection of curvature. Drawbacks like low sensitivity, high noise, and intricate setups hamper the conventional Mach-Zehnder Interferometer (MZI) method for curvature detection. This study introduces an innovative approach, the Randomized Convolutional Kernel of the Mach-Zehnder Interferometer (RaCK-MZI), tailored for highly accurate curvature detection. Remarkably, our approach attains 100% accuracy in training and validation and 98.75% in testing for curvature sensing. This method stands as a notable advancement in landslide monitoring and disaster management. As part of future research, we aim to deploy our technique on a single on-chip device.
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