Literature DB >> 29858718

Robust label-free microRNA detection using one million ISFET array.

Anurup Ganguli1,2, Yoshihiko Watanabe2, Michael T Hwang2, Jui-Cheng Huang3, Rashid Bashir4,5,6.   

Abstract

Detection of nucleic acid molecules is one of the most pervasive assays in biology, medicine, and agriculture applications. Currently, most comely used DNA/RNA detection platforms use fluorescence labeling and require lab-scale setting for performing the assay. There is a need for developing less expensive, label-free, and rapid detection of biomolecules with minimal utilization of resources. Use of electrical approaches for detection of biomolecules by utilizing their inherent charge is a promising direction for biosensing assays. Here, we report a 1024 × 1024 array of Ion Sensitive Field Effect Transistors (ISFET) as label free sensors for detection of nucleic acid molecules. Using PNA probe functionalized on these ISFET array, we robustly detected miRNA Let-7b by measuring changes in drain current after hybridization of target molecules with concentration as low as 1 nM. We demonstrate that mismatched or non-complementary target molecules resulted in statistically smaller changes. Most importantly, the high-density sensor array shows unprecedented reliability and robustness with P values <0.0001 for all experiments. Practical implementation of this platform could have a wide range of applications in high-throughput nucleic acid genotyping, detection of amplified pathogenic nucleic acid, detection of cell-free DNA, and electrical readouts for current hybridization-based DNA biomolecular assays.

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Keywords:  1024 × 1024 array; Electrical DNA sensor; Electrical microarray; ISFET; Multiplexed biosensing

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Year:  2018        PMID: 29858718     DOI: 10.1007/s10544-018-0290-8

Source DB:  PubMed          Journal:  Biomed Microdevices        ISSN: 1387-2176            Impact factor:   2.838


  1 in total

1.  Ultrasensitive Detection of Dopamine, IL-6 and SARS-CoV-2 Proteins on Crumpled Graphene FET Biosensor.

Authors:  Michael Taeyoung Hwang; Insu Park; Mohammad Heiranian; Amir Taqieddin; Seungyong You; Vahid Faramarzi; Angela A Pak; Arend M van der Zande; Narayana R Aluru; Rashid Bashir
Journal:  Adv Mater Technol       Date:  2021-08-28
  1 in total

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