Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1177/0145561320927824 | DOI Listing |
Biosens Bioelectron
January 2025
Guangdong Provincial Key Laboratory of Optical Fiber Sensing and Communications, Institute of Photonics Technology, Jinan University, Guangzhou, 510632, China; College of Physics & Optoelectronic Engineering, Jinan University, Guangzhou, 510632, China. Electronic address:
Quantitative polymerase chain reaction (qPCR) is a well-recognized technique for amplifying and quantifying nuclear acid, and its real-time monitoring capability, ultrahigh sensitivity, and accuracy make it a "golden-standard" tool in both molecular biology research and clinical diagnostics. However, current qPCR tests rely on bulky instrumentation and skilled laboratorians in centralized laboratories, which spatially and temporally separate the sample collection and test, leading to longer sample turnaround times (TATs) and limited working conditions. Herein, we propose an integrated optical fiber real-time polymerase chain reaction (iF-PCR) system that successfully allows convenient sample collection, rapid thermocycling, closed-loop thermal annealing, and real-time fluorescence detection in a tiny capillary reactor.
View Article and Find Full Text PDFSensors (Basel)
December 2024
Graduate School of Engineering Science, Osaka University, Toyonaka 560-8531, Osaka, Japan.
In this study, we experimentally demonstrate a PPLN-based free-space to SMF (single-mode fiber) conversion system capable of efficient long-wavelength down-conversion from 518 nm, optimized for minimal loss in highly turbid water, to 1540 nm, which is ideal for low-loss transmission in standard SMF. Leveraging the nonlinear optical properties of periodically poled lithium niobate (PPLN), we achieve a wavelength conversion efficiency of 1.6% through difference frequency generation while maintaining a received optical signal-to-noise ratio of 10.
View Article and Find Full Text PDFPhotoacoustics
October 2024
Wuhan National Laboratory for Optoelectronics (WNLO) and National Engineering Research Center of Next Generation Internet Access-system, School of Optical and Electronic Information, Huazhong University of Science and Technology, Wuhan 430074, China.
A proof-of-concept on-beam tuning-fork-enhanced photoacoustic sensor based on an open-closed single-tube acoustic-microresonator (AmR) was proposed and investigated for the first time, to the best of our knowledge. Due to the high acoustic amplification effect, the open-closed AmR improved the detection sensitivity by 54 times with respect to the bare tuning fork (TF). Compared to traditional dual-tube/single-tube on-beam spectrophone configuration, the developed approach significantly facilitates the laser beam alignment and reduces the sensor size and gas consumption.
View Article and Find Full Text PDFFront Robot AI
November 2024
School of Engineering and Materials Science, Queen Mary University of London, London, United Kingdom.
Tactile information acquired through palpation plays a crucial role in relation to surface characterisation and tissue differentiation - an essential clinical requirement during surgery. In the case of Minimally Invasive Surgery, access is restricted, and tactile feedback available to surgeons is therefore reduced. This paper presents a novel stiffness controllable, dynamic force range sensor that can provide remote haptic feedback.
View Article and Find Full Text PDFThe frequency stability of long-distance two-way fiber-optic radio frequency (RF) transfer is directly affected by the optical signal-to-noise ratio (OSNR) of optical amplifiers. In this paper, we have proposed a stimulated Brillouin scattering (SBS)-based optical amplification scheme with high OSNR for two-way fiber-optic RF frequency transfer over single mode fibers (SMF). At the remote and local site, the modulated carrier transferred from the opposite was amplified and then frequency upshifted by Brillouin frequency shift (BFS) for pump generation.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!