Abstract
We report on the rapid and direct quantification of specific cell captures using a micro-patterned streptavidin (STR)-functionalized silicon nanowire (SiNW) platform, which was prepared by Ag-assisted wet chemical etching and a photo-lithography process. This platform operates by high-affinity cell capture rendered by the combination of antibody-epithelial cell surface-binding, biotin-streptavidin binding, and the topologically enhanced cell-substrate interaction on a 3-dimensional SiNWs array. In this work, we developed a micro-patterned nanowire platform, with which we were able to directly evaluate the performance enhancement due to nanotopography. An excellent capture efficiency of ~96.6±6.7%, which is the highest value achieved thus far for the targeting specific A549 cells on a selective area of patterned SiNWs, is demonstrated. Direct comparison between the nanowire region and the planar region on the same substrate indicates dramatically elevated cell-capture efficiency on nanotopological surface identical surface chemistry (<2% cell-capture efficiency). An excellent linear response was seen for quantifying captured A549 cells with respect to loaded cells. This study suggests that the micro-patterned STR-functionalized SiNWs platform provides additional advantage for detecting rare cells populations in a more quantitative and specific manner.
Original language | English |
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Pages (from-to) | 181-188 |
Number of pages | 8 |
Journal | Biosensors and Bioelectronics |
Volume | 54 |
DOIs | |
Publication status | Published - 2014 Apr 15 |
Bibliographical note
Funding Information:This study was supported by a grant from the Global Excellent Technology Innovation R&D Program funded by the Ministry of Knowledge Economy and National Research Foundation of Korea (NRF), Republic of Korea ( 10038702-2010-01 and NRF-2013R1A1A2012685 ) and by a New Investigator Research Grant from Alzheimer's Association (PI: R.F.), and the U.S. National Cancer Institute Howard Temin Pathway to Independence Award ( NIH 4R00 CA136759-02 , PI: R.F.).
All Science Journal Classification (ASJC) codes
- Biotechnology
- Biophysics
- Biomedical Engineering
- Electrochemistry