Electrical Porous Silicon Microarray for dna Hybridization Detection

2003 ◽  
Vol 782 ◽  
Author(s):  
Marie Archer ◽  
Marc Christophersen ◽  
Philippe M. Fauchet ◽  
Deoram Persaud ◽  
Karl D. Hirschman

ABSTRACTThe sensitivity of Porous Silicon (PSi) to the presence of charged molecules and its large internal surface area represent two important properties that make this material and ideal candidate for electrical biosensor development. We have demonstrated the use of a macroporous silicon electrical sensor for label-free detection of DNA hybridization in real time as well as identification of organic solvents in liquid phase. Binding of DNA inside the PSi matrix induces a change in capacitance and conductance. Having demonstrated the suitability of macroporous silicon layers for real time detection of DNA hybridization on single devices, we have extended our findings to the fabrication of a microarray with individual device electrical addressing capabilities. On a crystalline p-type silicon wafer, process steps such as KOH etching and electrochemical dissolution are employed in selected regions to create a free-standing porous membrane for sensing applications. Individual electrical contacts are made on the front side of the wafer while the infiltration of the probe and target molecules is done from the back avoiding any direct interaction of the molecules with the contact sites. We will report on the design considerations of the electrical porous silicon array and the preliminary results obtained using synthetic DNA as a model molecule.

2021 ◽  
pp. 1-1
Author(s):  
Soha Yousuf ◽  
Jongmin Kim ◽  
Ajymurat Orozaliev ◽  
Marcus Dahlem ◽  
Yong-Ak Song ◽  
...  

2019 ◽  
Vol 37 (11) ◽  
pp. 2762-2767 ◽  
Author(s):  
Xu Zhang ◽  
Bo Liu ◽  
Hao Zhang ◽  
Xu Zhang ◽  
Binbin Song ◽  
...  

2020 ◽  
Vol 92 (24) ◽  
pp. 15989-15996
Author(s):  
Hsin-Yi Wen ◽  
Sheng-Feng Wang ◽  
Chien-Hsing Li ◽  
Yao-Tsung Yeh ◽  
Chia-Chin Chiang

2014 ◽  
Author(s):  
Panagiota Petrou ◽  
Georgios Koukouvinos ◽  
Dimitrios Drygiannakis ◽  
Dimitris Goustouridis ◽  
Ioannis Raptis ◽  
...  

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Mona Yaghoubi ◽  
Fereshteh Rahimi ◽  
Babak Negahdari ◽  
Ali Hossein Rezayan ◽  
Azizollah Shafiekhani

Abstract Accuracy and speed of detection, along with technical and instrumental simplicity, are indispensable for the bacterial detection methods. Porous silicon (PSi) has unique optical and chemical properties which makes it a good candidate for biosensing applications. On the other hand, lectins have specific carbohydrate-binding properties and are inexpensive compared to popular antibodies. We propose a lectin-conjugated PSi-based biosensor for label-free and real-time detection of Escherichia coli (E. coli) and Staphylococcus aureus (S. aureus) by reflectometric interference Fourier transform spectroscopy (RIFTS). We modified meso-PSiO2 (10–40 nm pore diameter) with three lectins of ConA (Concanavalin A), WGA (Wheat Germ Agglutinin), and UEA (Ulex europaeus agglutinin) with various carbohydrate specificities, as bioreceptor. The results showed that ConA and WGA have the highest binding affinity for E. coli and S. aureus respectively and hence can effectively detect them. This was confirmed by 6.8% and 7.8% decrease in peak amplitude of fast Fourier transform (FFT) spectra (at 105 cells mL−1 concentration). A limit of detection (LOD) of about 103 cells mL−1 and a linear response range of 103 to 105 cells mL−1 were observed for both ConA-E. coli and WGA-S. aureus interaction platforms that are comparable to the other reports in the literature. Dissimilar response patterns among lectins can be attributed to the different bacterial cell wall structures. Further assessments were carried out by applying the biosensor for the detection of Klebsiella aerogenes and Bacillus subtilis bacteria. The overall obtained results reinforced the conjecture that the WGA and ConA have a stronger interaction with Gram-positive and Gram-negative bacteria, respectively. Therefore, it seems that specific lectins can be suggested for bacterial Gram-typing or even serotyping. These observations were confirmed by the principal component analysis (PCA) model.


2010 ◽  
Vol 96 (12) ◽  
pp. 123702 ◽  
Author(s):  
Hao Zhang ◽  
Wei Pang ◽  
Mong S. Marma ◽  
Chuang-Yuan Lee ◽  
Sanat Kamal-Bahl ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document