Fluorescence-Based Sensors
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Optical Sensors".
Deadline for manuscript submissions: closed (30 April 2020) | Viewed by 47319
Special Issue Editor
Interests: fluorescent sensors; biosensors development; toxic materials detection; wastewater treatments; environmental water quality management
Special Issue Information
Dear Colleagues,
The aim of this Special Issue is to collect recent research and developments in the fluorescence-based chemical and biological sensors. Fluorescence-based detection of organic and inorganic matter and microorganisms is an important task for environmental monitoring, medical diagnostics, food safety, industrial quality control, agriculture, and security.
At present, we are using traditional analytical techniques such as gas or liquid chromatography, atomic absorption or emission spectroscopy (AAS/AES), inductively coupled plasma (ICP), mass spectroscopy, and polymerase chain reaction (PCR) for their detection. These techniques are highly accurate and sensitive to a specific analyte of interest, but they are costly, available only in large centralized laboratories, and require extensive sample pretreatment, making on-site, real-time, or in situ detection difficult. In light of these drawbacks, development of novel analytical methods which have higher sensitivity and selectivity, a shorter response time, and lower cost have recently attracted attention. Among the currently developed sensors, one based on fluorescence detection is one of the most common analytical tools due to simplicity, low cost, high sensitivity, and fast response.
In this Special Issue, we will welcome submissions on articles addressing sensor technology based on fluorescence measurements. Both review articles and original research papers are strongly encouraged.
Prof. Dr. Hisashi Satoh
Guest Editor
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Keywords
- Fluorescent Sensor
- On-Site Analysis
- Simple Detection
- Sensitivity, Selectivity, Response Time, and Cost For Bioimaging
- Recognition Element
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