This paper proposes a temperature sensor based on a side-hole fiber (SHF). The sensor is formed by single-mode fiber (SMF)-coreless fiber (CLF)-SHF-CLF-SMF fusion splicing. The SHF adopts the dislocation fusion splicing method to ensure that one air hole is exposed. Two different interferences form a superposition, making the response more sensitive. The experiment shows that the sensitivity during heating and cooling is 1.587 nm/°C and 1.681 nm/°C, respectively, in the temperature range of 25-45°C. The sensor has high temperature sensitivity, exhibits easy processing, is smaller in size, and has important research value for temperature monitoring in daily life and industrial production.

Download full-text PDF

Source
http://dx.doi.org/10.1364/AO.418225DOI Listing

Publication Analysis

Top Keywords

temperature sensor
8
sensor based
8
based side-hole
8
side-hole fiber
8
fusion splicing
8
temperature
5
high sensitivity
4
sensitivity temperature
4
sensor
4
fiber
4

Similar Publications

TiCT MXene nanoribbons@MnO: A novel multifunctional probe for colorimetric and fluorescence dual-response sensing of trichlorfon.

Talanta

December 2024

Key Laboratory of Modern Agricultural Equipment and Technology, Ministry of Education, School of Agricultural Engineering, Jiangsu University, Zhenjiang, Jiangsu, 212013, China; College of Agricultural Equipment Engineering, Henan University of Science and Technology, Luoyang, 471003, China. Electronic address:

Manganese dioxide nanosheets (MnO NSs) have garnered significant attention in analytical sensing, while the majority of the previous reports suffer from a complex preparation process involving reducing agents, template or high-temperature. In this work, a novel MnO NSs decorated TiCT MXene nanoribbons (TiCTNR@MnO) composite was firstly assemblied via a facile one-step strategy and applied as a bi-signal generator to enable colorimetric and fluorescence (FL) dual-response sensing. During the assembly process, TiCTNR innovatively acted as both reductant and carrier to prevent the aggregation of MnO NSs.

View Article and Find Full Text PDF

Cell-free systems, which can express an easily detectable output (protein) with a DNA or mRNA template, are promising as foundations of biosensors devoid of cellular constraints. Moreover, by encasing them in membranes such as natural cells to create artificial cells, these systems can avoid the adverse effects of environmental inhibitory molecules. However, the bacterial systems generally used for this purpose do not function well at ambient temperatures.

View Article and Find Full Text PDF

Mycotoxins are toxins produced by fungi that contaminate many key food crops as they grow in the field and during storage. Specific mycotoxins are produced by different fungi. Each type of fungus and mycotoxin have their own optimal temperatures and water activities for growth and production.

View Article and Find Full Text PDF

Oxygenated VOC Detection Using SnO Nanoparticles with Uniformly Dispersed BiO.

Nanomaterials (Basel)

December 2024

Department of Advanced Materials Science and Engineering, Faculty of Engineering Sciences, Kyushu University, Kasuga 816-8580, Fukuoka, Japan.

BiO particles are introduced as foreign additives onto SnO nanoparticles (NPs) surfaces for the efficient detection of oxygenated volatile organic compounds (VOCs). BiO-loaded SnO materials are prepared via the impregnation method followed by calcination treatment. The abundant BiO/SnO interfaces are constructed by the uniform dispersion of BiO particles on the SnO surface.

View Article and Find Full Text PDF

Chemical nanosensors based on nanoparticles of tin dioxide and graphene-decorated tin dioxide were developed and characterized to detect low NO concentrations. Sensitive layers were prepared by the drop casting method. SEM/EDX analyses have been used to investigate the surface morphology and the elemental composition of the sensors.

View Article and Find Full Text PDF

Want 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!