PLoS ONE · 2015 · 19 citations · 16 references
EngineeringBioengineeringBiotechnologyBiosensorsNanobiotechnologyNanotechnologyBiosensor DesignNanomaterial-based BiosensorsNanosensorsNanowiresNucleic Acid BiosensorsComplementary Metal-oxide-semiconductor DevicesCrystalline SiliconField-effect Transistor BiosensorsLabel-free DetectionMicrorna BiosensorsNanowire BiosensorsRna BiosensorsSilicon
BACKGROUND: The diagnostic and prognostic value of microRNAs (miRNAs) in a variety of diseases is promising. The novel silicon nanowire (SiNW) biosensors have advantages in molecular detection because of their high sensitivity and fast response. In this study, poly-crystalline silicon nanowire field-effect transistor (poly-SiNW FET) device was developed to achieve specific and ultrasensitive detection of miRNAs without labeling and amplification. METHODS: The poly-SiNW FET was fabricated by a top-down Complementary Metal Oxide Semiconductor (CMOS) wafer fabrication based technique. Single strand DNA (ssDNA) probe was bind to the surface of the poly-SiNW device which was silanated and aldehyde-modified. By comparing the difference of resistance value before and after ssDNA and miRNA hybridization, poly-SiNW device can be used to detect standard and real miRNA samples. RESULTS: Poly-SiNW device with different structures (different line width and different pitch) was applied to detect standard Let-7b sample with a detection limitation of 1 fM. One-base mismatched sequence could be distinguished meanwhile. Furthermore, these poly-SiNW arrays can detect snRNA U6 in total RNA samples extracted from HepG2 cells with a detection limitation of 0.2 μg/mL. In general, structures with pitch showed better results than those without pitch in detection of both Let-7b and snRNA U6. Moreover, structures with smaller pitch showed better detection efficacy. CONCLUSION: Our findings suggest that poly-SiNW arrays could detect standard and real miRNA sample without labeling or amplification. Poly-SiNW biosensor device is promising for miRNA detection.
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Chang‐Gong Liu, George A. Calin, Stefano Volinia et al. · Nature Protocols · 2008 · 293 citations