Evidence map›Paper›PMID 38335120›Full record

ArticleACS nano2024

Addressing Signal Drift and Screening for Detection of Biomarkers with Carbon Nanotube Transistors.

Faris M Albarghouthi, Daria Semeniak, Iman Khanani, James L Doherty, Brittany N Smith, Matthew Salfity, Quentin MacFarlane, Aneesh Karappur, Steven G Noyce, Nicholas X Williams and 4 more

Abstract read
In one paragraph

Article in ACS nano, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Bioelectronics forNanotheranostics · 2026
    Review
  2. Article
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  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Faris M AlbarghouthiDepartment of Electrical & Computer Engineering, Duke University, Durham, North Carolina 27708, United States.ORCID 0000-0001-5777-710X
Daria SemeniakDepartment of Biomedical Engineering, Duke University, Durham, North Carolina 27708, United States.
Iman KhananiDepartment of Electrical & Computer Engineering, Duke University, Durham, North Carolina 27708, United States.
James L DohertyDepartment of Electrical & Computer Engineering, Duke University, Durham, North Carolina 27708, United States.ORCID 0000-0003-1571-0622
Brittany N SmithDepartment of Electrical & Computer Engineering, Duke University, Durham, North Carolina 27708, United States.ORCID 0000-0003-2147-8735
Matthew SalfityDepartment of Electrical & Computer Engineering, Duke University, Durham, North Carolina 27708, United States.ORCID 0009-0005-8765-2021
Quentin MacFarlaneDepartment of Electrical & Computer Engineering, Duke University, Durham, North Carolina 27708, United States.
Aneesh KarappurDepartment of Electrical & Computer Engineering, Duke University, Durham, North Carolina 27708, United States.
Steven G NoyceDepartment of Electrical & Computer Engineering, Duke University, Durham, North Carolina 27708, United States.ORCID 0000-0002-2953-7560
Nicholas X WilliamsDepartment of Electrical & Computer Engineering, Duke University, Durham, North Carolina 27708, United States.
Daniel Y JohDepartment of Biomedical Engineering, Duke University, Durham, North Carolina 27708, United States.
Joseph B AndrewsDepartment of Electrical & Computer Engineering, Duke University, Durham, North Carolina 27708, United States.
Ashutosh ChilkotiDepartment of Biomedical Engineering, Duke University, Durham, North Carolina 27708, United States.ORCID 0000-0002-1569-2228
Aaron D FranklinDepartment of Electrical & Computer Engineering, Duke University, Durham, North Carolina 27708, United States.ORCID 0000-0002-1128-9327

Funding

Medical Scientist Training Program Training GrantT32GM145449 · NIGMS · DUKE UNIVERSITY · PI Christopher D Kontos · 2022 to 2026
$6.6M
Point-of-care cellular and molecular pathology of breast tumors on a cell phoneR01CA248491 · NCI · DUKE UNIVERSITY · PI CHILKOTI, ASHUTOSH, HWANG, E. SHELLEY · 2020 to 2024
$2.9M
Printed Electronic Biosensors for Point-of-Care Testing of Cardiovascular BiomarkersR01HL146849 · NHLBI · DUKE UNIVERSITY · PI FRANKLIN, AARON · 2019 to 2023
$2.6M
Fully-printed electronic biosensors for the assessment of severe acute malnutritionF31HD095662 · NICHD · DUKE UNIVERSITY · PI ANDREWS, JOSEPH B. · 2018 to 2018
$33k
NCI NIH HHS R01 CA248491NHLBI NIH HHS R01 HL146849NICHD NIH HHS F31 HD095662NIGMS NIH HHS T32 GM145449
6 · The paper itself

Abstract

Electrical biosensors, including transistor-based devices (i.e., BioFETs), have the potential to offer versatile biomarker detection in a simple, low-cost, scalable, and point-of-care manner. Semiconducting carbon nanotubes (CNTs) are among the most explored nanomaterial candidates for BioFETs due to their high electrical sensitivity and compatibility with diverse fabrication approaches. However, when operating in solutions at biologically relevant ionic strengths, CNT-based BioFETs suffer from debilitating levels of signal drift and charge screening, which are often unaccounted for or sidestepped (but not addressed) by testing in diluted solutions. In this work, we present an ultrasensitive CNT-based BioFET called the D4-TFT, an immunoassay with an electrical readout, which overcomes charge screening and drift-related limitations of BioFETs. In high ionic strength solution (1X PBS), the D4-TFT repeatedly and stably detects subfemtomolar biomarker concentrations in a point-of-care form factor by increasing the sensing distance in solution (Debye length) and mitigating signal drift effects. Debye length screening and biofouling effects are overcome using a poly(ethylene glycol)-like polymer brush interface (POEGMA) above the device into which antibodies are printed. Simultaneous testing of a control device having no antibodies printed over the CNT channel confirms successful detection of the target biomarker via an on-current shift caused by antibody sandwich formation. Drift in the target signal is mitigated by a combination of: (1) maximizing sensitivity by appropriate passivation alongside the polymer brush coating; (2) using a stable electrical testing configuration; and (3) enforcing a rigorous testing methodology that relies on infrequent DC sweeps rather than static or AC measurements. These improvements are realized in a relatively simple device using printed CNTs and antibodies for a low-cost, versatile platform for the ongoing pursuit of point-of-care BioFETs.

Indexed as

BioFETcarbon nanotube field-effect transistorDebye lengthimmunoassaysignal driftstability

Identifiers

PMID38335120
PMCPMC12327215

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.