An infrared single-mode fiber-optic Fourier-transform spectrometer constructed for the demonstration of the technique is described, in which beam splitting and beam combining are performed with fiber-optic directional couplers and the optical path difference scan is generated by stretching fibers. Experiments done with this fiber-optic Fourier-transform spectrometer are presented. A spectral resolution of 1328 at 2.2 µm can be achieved. The experimental results show the feasibility of fiber-optic Fourier-transform spectrometry and double Fourier interferometry.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1364/AO.35.002897 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
A novel sensing probe based on AuNPs-Apt for the detection of enrofloxacin.
Nanotechnology
November 2024
Huazhong University of Science and Technology, Wuhan 430070, People's Republic of China.
Article Synopsis
- Enrofloxacin (ENR) is a widely used synthetic antibiotic in veterinary medicine that helps treat animal diseases and enhance livestock growth, but its overuse can harm the environment and human health due to residual contamination.
- Researchers have created a novel sensor using gold nanoparticles and aptamers (AuNPs-Apt) to specifically detect enrofloxacin residues, with impressive detection capabilities.
- This biosensor demonstrates a broad detection range, high accuracy, quick results, low toxicity, and cost-effectiveness, making it a promising tool for monitoring enrofloxacin in various applications.
Enhancing Multichannel Fiber Optic Sensing Systems with IFFT-DNN for Remote Water Level Monitoring.
Sensors (Basel)
July 2024
Department of Electro-Optical Engineering, National Taipei University of Technology, Taipei 10608, Taiwan.
This paper proposes a novel approach to enhance the multichannel fiber optic sensing systems by integrating an Inverse Fast Fourier Transform-based Deep Neural Network (IFFT-DNN) to accurately predict sensor responses despite signals overlapping and crosstalk between sensors. The IFFT-DNN leverages both frequency and time domain information, enabling a comprehensive feature extraction which enhances the prediction accuracy and reliability performance. To investigate the IFFT-DNN's performance, we propose a multichannel water level sensing system based on Free Space Optics (FSO) to measure the water level at multiple points in remote areas.
View Article and Find Full Text PDFFiber Optic Sensor Coated with Multiple Layers of Hexagonal Boron Nitride Nanosheets (BNNS) for the Detection of Volatile Organic Compounds.
ACS Appl Mater Interfaces
July 2024
Department of Physics, Sacred Heart College, Tirupattur 635601, India.
Nowadays, volatile organic compound (VOC) detection is imperative to ensure environmental safety in industry and indoor environments, as well as to monitor human health in medical diagnosis. Gas sensors with the best sensor response, selectivity, and stability are in high demand. Simultaneously, the advancement of nanotechnology facilitates novel nanomaterial-based gas sensors with superior sensor characteristics and low power consumption.
View Article and Find Full Text PDFRates of retinal nerve fiber layer loss in early-stage pseudoexfoliation and primary open-angle glaucoma patients using optical coherence tomography.
Int Ophthalmol
June 2024
Department of Ophthalmology, University of Health Sciences Dişkapi Yildirim Beyazit Training and Research Hospital, Ankara, Turkey.
Purpose: To characterize glaucoma progression in early-stage patients with retinal nerve fiber layer (RNFL) using the change analysis software (CAS), which was utilized to track RNFL thinning.
Methods: We retrospectively analyzed 92 eyes of 92 patients with early-stage glaucoma. Patients were divided into two subgroups based on their diagnosis of pseudoexfoliation glaucoma (PEG) and primary open-angle glaucoma (POAG).
Inspired by the demodulation algorithm of Fabry-Perot composite sensors in the field of fiber-optic sensing, this paper proposes a method based on a widely tunable modulated grating Y-branch (MG-Y) laser combined with the cross-correlation algorithm to achieve a highly precise measurement of the optical thickness of each layer of a multilayer optical sample. A sample consisting of a double glass stack was selected, and the interference spectrum of the stacked sample was acquired using a widely tunable MG-Y laser. A fast Fourier transform (FFT) algorithm combined with a finite impulse response (FIR) bandpass filter was utilized to separate the different frequency components of the multilayer optical sample.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!