Change search
ReferencesLink to record
Permanent link

Direct link
Integration of a Droplet-Based Microfluidic System and Silicon Nanoribbon FET Sensor
KTH, School of Information and Communication Technology (ICT).
2016 (English)In: Micromachines, ISSN 2072-666X, E-ISSN 2072-666XArticle in journal (Refereed) Published
Abstract [en]

We present a novel microfluidic system that integrates droplet microfluidics with a silicon nanoribbon field-effect transistor (SiNR FET), and utilize this integrated system to sense differences in pH. The device allows for selective droplet transfer to a continuous water phase, actuated by dielectrophoresis, and subsequent detection of the pH level in the retrieved droplets by SiNR FETs on an electrical sensor chip. The integrated microfluidic system demonstrates a label-free detection method for droplet microfluidics, presenting an alternative to optical fluorescence detection. In this work, we were able to differentiate between droplet trains of one pH-unit difference. The pH-based detection method in our integrated system has the potential to be utilized in the detection of biochemical reactions that induce a pH-shift in the droplets.

Place, publisher, year, edition, pages
2016.
Keyword [en]
NanoFET;silicon nanoribbon;droplet microfluidics;pH measurement
National Category
Nano Technology
Research subject
Information and Communication Technology
Identifiers
URN: urn:nbn:se:kth:diva-191177DOI: 10.3390/mi7080134ISI: 000382467700006ScopusID: 2-s2.0-84984791952OAI: oai:DiVA.org:kth-191177DiVA: diva2:955309
Funder
Knut and Alice Wallenberg Foundation
Note

QC 20160825

Available from: 2016-08-25 Created: 2016-08-25 Last updated: 2016-09-30Bibliographically approved
In thesis
1. Silicon Nanoribbon FET Sensors: Fabrication, Surface Modification and Microfluidic Integration
Open this publication in new window or tab >>Silicon Nanoribbon FET Sensors: Fabrication, Surface Modification and Microfluidic Integration
2016 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Over the past decade, the field of medical diagnostics has seen an incredible amount of research towards the integration of one-dimensional nanostructures such as carbon nanotubes, metallic and semiconducting nanowires and nanoribbons for a variety of bio-applications. Among the mentioned one-dimensional structures, silicon nanoribbon (SiNR) field-effect transistors (FET) as electro-chemical nanosensors hold particular promise for label-free, real-time and sensitive detection of biomolecules using affinity-based detection. In SiNR FET sensors, electrical transport is primarily along the nanoribbon axis in a thin sheet (< 30 nm) serving as the channel. High sensitivity is achieved because of the large surface-to-volume ratio which allows analytes to bind anywhere along the NR affecting the entire conductivity by their surface charge. Unfortunately, sensitivity without selectivity is still an ongoing issue and this thesis aims at addressing the detection challenges and further proposing effective developments, such as parallel and multiple detection through using individually functionalized SiNRs.We present here a comprehensive study on design, fabrication, operation and device performance parameters for the next generation of SiNR FET sensors towards multiplexed, label-free detection of biomolecules using an on-chip microfluidic layer which is based on a highly cross-linked epoxy. We first study the sensitivity of different NR dimensions followed by analysis of the drift and hysteresis effects. We have also addressed two types of gate oxides (namely SiO2 and Al2O3) which are commonly used in standard CMOS fabrication of ISFETs (Ion sensitive FET). Not only have we studied and compared the hysteresis and response-time effects in the mentioned two types of oxides but we have also suggested a new integrated on-chip reference nanoribbon/microfluidics combination to monitor the long-term drift in the SiNR FET nanosensors. Our results show that compared to Al2O3, silicon-oxide gated SiNR FET sensors show high hysteresis and slow-response which limit their performance only to background electrolytes with low ionic strength. Al2O3 on the other hand proves more promising as the gate-oxide of choice for use in nanosensors. We have also illustrated that the new integrated sensor NR/Reference NR can be utilized for real-time monitoring of the above studied sources of error during pH-sensing. Furthermore, we have introduced a new surface silanization (using 3-aminopropyltriethoxysilane) method utilizing microwave-assisted heating which compared to conventional heating, yields an amino-terminated monolayer with high surface coverage on the oxide surface of the nanoribbons. A highly uniform and dense monolayer not only reduces the pH sensitivity of the bare-silicon oxide surface in a physiological media but also allows for more receptors to be immobilized on the surface. Protocols for surface functionalization and biomolecule immobilization were evaluated using model systems. Selective spotting of receptor molecules can be used to achieve localized functionalization of individual SiNRs, opening up opportunities for multiplexed detection of analytes.Additionally, we present here a novel approach by integrating droplet-based microfluidics with the SiNR FET sensors. Using the new system we are able to successfully detect trains of droplets with various pH values. The integrated system enables a wide range of label-free biochemical and macromolecule sensing applications based on detection of biological events such as enzyme-substrate interactions within the droplets.

Place, publisher, year, edition, pages
Stockholm: KTH Royal Institute of Technology, 2016. 82 p.
Series
TRITA-ICT, 2016:22
National Category
Nano Technology
Research subject
Information and Communication Technology
Identifiers
urn:nbn:se:kth:diva-191178 (URN)978-91-7729-075-9 (ISBN)
Public defence
2016-09-29, Sal A, Electrum, Kungl Tekniska högskolan, Kistagången 16, Kista, 10:00 (English)
Opponent
Supervisors
Funder
Knut and Alice Wallenberg Foundation
Note

QC 20160825

Available from: 2016-08-25 Created: 2016-08-25 Last updated: 2016-09-19Bibliographically approved

Open Access in DiVA

fulltext(10034 kB)17 downloads
File information
File name FULLTEXT01.pdfFile size 10034 kBChecksum SHA-512
76cf89c4f3c3b5938a1c975647c3ce5ae5b1665bcd0788c43288d82df0d100da668c38e4f360e2ceeeb1616f1213bc6ac29d78f10cd0cc3bc0020fb0b80a0497
Type fulltextMimetype application/pdf

Other links

Publisher's full textScopushttp://www.mdpi.com/2072-666X/7/8/134

Search in DiVA

By author/editor
Afrasiabi, Roodabeh
By organisation
School of Information and Communication Technology (ICT)
In the same journal
Micromachines
Nano Technology

Search outside of DiVA

GoogleGoogle Scholar
Total: 17 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 20 hits
ReferencesLink to record
Permanent link

Direct link