scholarly journals The Development of Silicon Nanowire as Sensing Material and Its Applications

2013 ◽  
Vol 2013 ◽  
pp. 1-16 ◽  
Author(s):  
Jahwarhar Izuan Abdul Rashid ◽  
Jaafar Abdullah ◽  
Nor Azah Yusof ◽  
Reza Hajian

The application of silicon nanowire (SiNW) as a sensing nanomaterial for detection of biological and chemical species has gained attention due to its unique properties. In this review, a short description is also demonstrated on the synthesis techniques of SiNWs and recent progress on sensor development based on electrochemical methods, fluorescence field-effect transistors (FET), and surface-enhanced Raman scattering (SERS) spectroscopy. We also discussed the challenges of SiNW-based sensors in the future.

Author(s):  
Xuanhe Li ◽  
Liangliang Lin ◽  
Wei-Hung Chiang ◽  
Kuan Chang ◽  
Hujun Xu

Surface enhanced Raman scattering (SERS) is a powerful and sensitive spectroscopic technique that allows for rapid detection of trace-level chemical species in a non-invasive and non-destructive manner. In the present...


2016 ◽  
Vol 2016 ◽  
pp. 1-6 ◽  
Author(s):  
Hairui Ren ◽  
Zhaoyang Chen ◽  
Xin Zhang ◽  
Yongmei Zhao ◽  
Zheng Wang ◽  
...  

Concentrations of S-Adenosyl-L-Methionine (SAM) in aqueous solution and fermentation liquids were quantitatively determined by surface-enhanced Raman scattering (SERS) and verified by high-pressure liquid chromatography (HPLC). The Ag nanoparticle/silicon nanowire array substrate was fabricated and employed as an active SERS substrate to indirectly measure the SAM concentration. The linear relationship between the integrated intensity of peak centered at ~2920 cm−1in SERS spectra and the SAM concentration was established, and the limit of detections of SAM concentrations was analyzed to be ~0.1 g/L. The concentration of SAM in real solution could be predicted by the linear relationship and verified by the HPLC detection method. The relative deviations (δ) of the predicted SAM concentration are less than 13% and the correlation coefficient is 0.9998. Rolling-Circle Filter was utilized to subtract fluorescence background and the optimal results were obtained when the radius of the analyzing circle is 650 cm−1.


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