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Preparation of Silicon Nanowire Field-effect Transistor for Chemical and Biosensing Applications
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Recent Advances in Silicon Nanomaterial-Based Fluorescent Sensors
Houyu Wang1, Yao He2
1Jiangsu Key Laboratory for Carbon-Based Functional Materials and Devices, Institute of Functional Nano and Soft Materials (FUNSOM), Soochow University, Suzhou 215123, China. hywang@suda.edu.cn.
Sensors (Basel, Switzerland)
|February 7, 2017
Summary
Silicon nanoparticles (SiNPs) and silicon nanowires (SiNWs) are advanced fluorescent sensors. This review highlights their recent achievements and future potential in detecting chemical and biological species.
Area of Science:
- Nanomaterials Science
- Chemical Sensing
- Biotechnology
Background:
- Silicon nanomaterials offer unique optical properties, biocompatibility, and surface chemistry.
- Different dimensional silicon nanostructures are utilized for high-performance fluorescent sensors.
- Zero-dimensional silicon nanoparticles (SiNPs) and one-dimensional silicon nanowires (SiNWs) are key research areas.
Purpose of the Study:
- To review recent advancements in silicon nanomaterials-based fluorescent sensors.
- To discuss the latest achievements in zero-dimensional SiNP and one-dimensional SiNW fluorescent sensors.
- To explore future directions and challenges in silicon-based fluorescent sensor development.
Main Methods:
- Literature review of recent scientific publications.
- Focus on zero-dimensional silicon nanoparticles (SiNPs) based sensors.
- Focus on one-dimensional silicon nanowires (SiNWs) based sensors.
Main Results:
- Detailed overview of recent progress in SiNP-based fluorescent sensors.
- Presentation of recent advances in SiNW-based fluorescent sensors.
- Identification of key challenges and future prospects in the field.
Conclusions:
- Silicon nanomaterials, particularly SiNPs and SiNWs, show significant promise for fluorescent sensing applications.
- Continued research is crucial to overcome challenges and unlock the full potential of these materials.
- Future directions include further optimization for enhanced sensitivity, selectivity, and real-world applicability.

