Preparation and Characterization of Pore-Wall Modification Gradients Generated on Porous Silicon Photonic Crystals Using Diazonium Salts

Langmuir ◽  
2011 ◽  
Vol 27 (14) ◽  
pp. 8967-8973 ◽  
Author(s):  
Corrina M. Thompson ◽  
Anne M. Ruminski ◽  
Adrian Garcia Sega ◽  
Michael J. Sailor ◽  
Gordon M. Miskelly
Keyword(s):  
Porous Silicon ◽  
Photonic Crystals ◽  
Pore Wall ◽  
Diazonium Salts ◽  
Silicon Photonic

scholarly journals Vertical hybrid microcavity based on a polymer layer sandwiched between porous silicon photonic crystals

2009 ◽  
Vol 95 (16) ◽  
pp. 163301 ◽  
Author(s):  
F. Yu. Sychev ◽  
I. E. Razdolski ◽  
T. V. Murzina ◽  
O. A. Aktsipetrov ◽  
T. Trifonov ◽  
...  
Keyword(s):  
Porous Silicon ◽  
Photonic Crystals ◽  
Polymer Layer ◽  
Silicon Photonic

Giant second harmonic generation in microcavities based on porous silicon photonic crystals

JETP Letters ◽  
2001 ◽  
Vol 73 (1) ◽  
pp. 6-9 ◽  
Author(s):  
T. V. Dolgova ◽  
A. I. Maidikovskii ◽  
M. G. Martem’yanov ◽  
G. Marovsky ◽  
G. Mattei ◽  
...  
Keyword(s):  
Porous Silicon ◽  
Photonic Crystals ◽  
Second Harmonic Generation ◽  
Harmonic Generation ◽  
Second Harmonic ◽  
Silicon Photonic

Porous Silicon Photonic Crystals

2018 ◽  
pp. 1201-1210
Author(s):  
J. Octavio Estevez ◽  
Vivechana Agarwal
Keyword(s):  
Porous Silicon ◽  
Photonic Crystals ◽  
Silicon Photonic

Optical characteristics of porous silicon photonic crystals prepared on the back surface of silicon wafers

Optik ◽  
2020 ◽  
Vol 201 ◽  
pp. 163486
Author(s):  
Furu Zhong ◽  
Jiaqing Mo ◽  
Yangjun Li ◽  
Bin Sun ◽  
Zhaofeng Wu
Keyword(s):  
Porous Silicon ◽  
Photonic Crystals ◽  
Silicon Wafers ◽  
Optical Characteristics ◽  
Back Surface ◽  
Silicon Photonic

scholarly journals Optimising the enzyme response of a porous silicon photonic crystal via the modular design of enzyme sensitive polymers

2014 ◽  
Vol 5 (7) ◽  
pp. 2333-2341 ◽  
Author(s):  
Alexander H. Soeriyadi ◽  
Bakul Gupta ◽  
Peter J. Reece ◽  
J. Justin Gooding
Keyword(s):  
Photonic Crystal ◽  
Porous Silicon ◽  
Photonic Crystals ◽  
Matrix Metalloproteinase ◽  
Modular Design ◽  
Optical Biosensors ◽  
Silicon Photonic

The incorporation of a versatile and tuneable polymer–peptide network into the pores of porous silicon photonic crystals improves the selectivity of porous silicon optical biosensors to detect certain types of matrix metalloproteinase enzymes.

Porous Silicon Photonic Crystals

2014 ◽  
pp. 1-10
Author(s):  
J. Octavio Estevez ◽  
V. Agarwal
Keyword(s):  
Porous Silicon ◽  
Photonic Crystals ◽  
Silicon Photonic

scholarly journals Porous Silicon Photonic Crystals Coated with Ag Nanoparticles as Efficient Substrates for Detecting Trace Explosives Using SERS

Nanomaterials ◽  
2018 ◽  
Vol 8 (11) ◽  
pp. 872 ◽  
Author(s):  
Furu Zhong ◽  
Zhaofeng Wu ◽  
Jixi Guo ◽  
Dianzeng Jia
Keyword(s):  
Porous Silicon ◽  
Photonic Crystals ◽  
Limit Of Detection ◽  
Picric Acid ◽  
Single Layer ◽  
Trace Detection ◽  
Assay Condition ◽  
Silicon Photonic ◽  
Relative Standard ◽  
Explosive Properties

Picric acid (PA) is an organic substance widely used in industry and military, which poses a great threat to the environment and security due to its unstable, toxic, and explosive properties. Trace detection of PA is also a challenging task because of its highly acidic and anionic character. In this work, silver nanoparticles (AgNPs)-decorated porous silicon photonic crystals (PS PCs) were controllably prepared as surface-enhanced Raman scattering (SERS) substrates using the immersion plating solution. PA and Rhodamine 6G dye (R6G) were used as the analyte to explore the detection performance. As compared with single layer porous silicon, the enhancement factor of PS PCs substrates is increased to 3.58 times at the concentration of 10−6 mol/L (R6G). This additional enhancement was greatly beneficial to the trace-amount-detection of target molecules. Under the optimized assay condition, the platform shows a distinguished sensitivity with the limit of detection of PA as low as 10−8 mol/L, the linear range from 10−4 to 10−7 mol/L, and a decent reproducibility with a relative standard deviation (RSD) of ca. 8%. These results show that the AgNPs-modified PS PCs substrates could also find further applications in biomedical and environmental sensing.

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