Evidence map›Paper›PMID 39268764›Full record

ArticleACS sensors2024

An Internally Attached Aptameric Graphene Nanosensor for Sensitive Vasopressin Measurement in Critical Patient Monitoring.

Shifeng Yu, Wenting Dai, Chao Su, Nenad Milosavic, Ziran Wang, Xuejun Wang, Yibo Zhu, Maogang He, Donald W Landry, Milan N Stojanovic and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in ACS sensors, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Shifeng YuCollege of Mechanical and Vehicle Engineering, Chongqing University, Chongqing 400044, China.ORCID 0000-0002-6134-5497
Wenting DaiDepartment of Mechanical Engineering, Columbia University, New York, New York 10027, United States.
Chao SuDepartment of Mechanical Engineering, Columbia University, New York, New York 10027, United States.
Nenad MilosavicDepartment of Medicine, Columbia University, New York, New York 10032, United States.
Ziran WangDepartment of Mechanical Engineering, Columbia University, New York, New York 10027, United States.
Xuejun WangDepartment of Mechanical Engineering, Columbia University, New York, New York 10027, United States.ORCID 0000-0002-7034-0460
Yibo ZhuDepartment of Mechanical Engineering, Columbia University, New York, New York 10027, United States.
Maogang HeDepartment of Power and Energy Engineering, Xian Jiaotong University, Xian, Shaanxi 710049, China.ORCID 0000-0002-4384-4284
Donald W LandryDepartment of Medicine, Columbia University, New York, New York 10032, United States.
Milan N StojanovicDepartment of Medicine, Columbia University, New York, New York 10032, United States.
Qiao LinDepartment of Mechanical Engineering, Columbia University, New York, New York 10027, United States.

Funding

Continuous Therapeutic Drug Monitoring of Antibiotics in CRRTR01DK126739 · NIDDK · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MOHAN, SUMIT · 2021 to 2024
$2.8M
Towards rapid measurement of antibiotics in critical care settingR01EB032910 · NIBIB · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI CREMERS, SERGE, LIN, QIAO · 2022 to 2025
$2.7M
Analog-based Approaches to Isolation of Aptamers for Challenging TargetsR01GM138843 · NIGMS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI STOJANOVIC, MILAN N · 2020 to 2023
$2.3M
A Differential Dielectric Affinity Microsensor for Stable and Accurate Glucose MoDP3DK101085 · NIDDK · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI LIN, QIAO · 2013 to 2013
$1.1M
A Practical Approach to Tumor-Specific Aptamers for B-Cell Hematologic MalignanciesR21CA261775 · NCI · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI LIN, QIAO · 2022 to 2024
$599k
NCI NIH HHS R21 CA261775NIBIB NIH HHS R01 EB032910NIDDK NIH HHS DP3 DK101085NIDDK NIH HHS R01 DK126739NIGMS NIH HHS R01 GM138843
6 · The paper itself

Abstract

This paper presents an aptameric graphene nanosensor for rapid and sensitive measurement of arginine vasopressin (AVP) toward continuous monitoring of critical care patients. The nanosensor is a field-effect transistor (FET) with monolayer graphene as the conducting channel and is functionalized with a new custom-designed aptamer for specific AVP recognition. Binding between the aptamer and AVP induces a change in the carrier density in the graphene and resulting in measurable changes in FET characteristics for determination of the AVP concentration. The aptamer, based on the natural enantiomer D-deoxyribose, possess optimized kinetic binding properties and is attached at an internal position to the graphene for enhanced sensitivity to low concentrations of AVP. Experimental results show that this aptameric graphene nanosensor is highly sensitive (with a limit of detection of 0.3 pM and a resolution of 0.1 pM) to AVP, and rapidly responsive (within 90 s) to both increasing and decreasing AVP concentration changes. The device is also reversable (within 4%), repeatable (within 4%) and reproducible (within 5%) in AVP measurements.

Indexed as

Aptamers, NucleotideArginine VasopressinBiosensing TechniquesGraphiteHumansLimit of DetectionMonitoring, PhysiologicNanotechnologyTransistors, ElectronicVasopressinsAptamers, NucleotideArginine VasopressinGraphiteVasopressinsarginine vasopressin (AVP)field-effect transistorgraphene nanosensorlimit of detectionreversablespecific binding

Identifiers

PMID39268764
PMCPMC13310666

What OpenQuestion holds

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Registered trials

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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.