ArticleBiosensors2017
Ultrasensitive Label-Free Sensing of IL-6 Based on PASE Functionalized Carbon Nanotube Micro-Arrays with RNA-Aptamers as Molecular Recognition Elements.
Article in Biosensors, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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Who cites it
26 citing papers in PubMed, 69 citations in OpenAlex.
- Hybridization-Based Electrochemical Biosensors for RNA Detection: Key Concepts and Insights.Sensors and actuators. B, Chemical · 2026Article
- Advanced Materials for Biological Field-Effect Transistors (Bio-FETs) in Precision Healthcare and Biosensing.Advanced healthcare materials · 2025Review
- Electrochemical and biosensor techniques to monitor neurotransmitter changes with depression.Analytical and bioanalytical chemistry · 2024Review
- Asymmetric Schottky Barrier-Generated MoSNanomaterials (Basel, Switzerland) · 2024Article
- Micromotor-based dual aptassay for early cost-effective diagnosis of neonatal sepsis.Mikrochimica acta · 2024Article
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- CNT and Graphene-Based Transistor Biosensors for Cancer Detection: A Review.Biomolecules · 2023Review
- Aptamer-functionalized field-effect transistor biosensors for disease diagnosis and environmental monitoring.Exploration (Beijing, China) · 2023Review
- Pre-equilibrium biosensors as an approach towards rapid and continuous molecular measurements.Nature communications · 2022Article
- Article
- Review
- Aptamers Targeting Cardiac Biomarkers as an Analytical Tool for the Diagnostics of Cardiovascular Diseases: A Review.Biomedicines · 2022Review
- Carbon nanotube field-effect transistor (CNT-FET)-based biosensor for rapid detection of SARS-CoV-2 (COVID-19) surface spike protein S1.Bioelectrochemistry (Amsterdam, Netherlands) · 2022Article
- Micro- and nanosensors for detecting blood pathogens and biomarkers at different points of sepsis care.Mikrochimica acta · 2022Review
- Nanomaterials targeting macrophages in sepsis: A promising approach for sepsis management.Frontiers in immunology · 2022Review
- Toward the Development of Rapid, Specific, and Sensitive Microfluidic Sensors: A Comprehensive Device Blueprint.JACS Au · 2021Review
- Sensing Inflammation Biomarkers with Electrolyte-Gated Organic Electronic Transistors.Advanced healthcare materials · 2021Review
- Review
- Aptamer-based biosensors for the diagnosis of sepsis.Journal of nanobiotechnology · 2021Review
- Infection-Mediated Clinical Biomarkers for a COVID-19 Electrical Biosensing Platform.Sensors (Basel, Switzerland) · 2021Review
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study demonstrates the rapid and label-free detection of Interleukin-6 (IL-6) using carbon nanotube micro-arrays with aptamer as the molecular recognition element. Single wall carbon nanotubes micro-arrays biosensors were manufactured using photo-lithography, metal deposition, and etching techniques. Nanotube biosensors were functionalized with 1-Pyrenebutanoic Acid Succinimidyl Ester (PASE) conjugated IL-6 aptamers. Real time response of the sensor conductance was monitored with increasing concentration of IL-6 (1 pg/mL to 10 ng/mL), exposure to the sensing surface in buffer solution, and clinically relevant spiked blood samples. Non-specific Bovine Serum Albumin (BSA), PBS samples, and anti-IgG functionalized devices gave similar signatures in the real time conductance versus time experiments with no significant change in sensor signal. Exposure of the aptamer functionalized nanotube surface to IL-6 decreased the conductance with increasing concentration of IL-6. Experiments based on field effect transistor arrays suggested shift in drain current versus gate voltage for 1 pg and 1 ng of IL-6 exposure. Non-specific BSA did not produce any appreciable shift in the I
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.