Evidence map›Paper›PMID 27563905›Full record

ArticleSensors (Basel, Switzerland)2016

Ultrasensitive, Label Free, Chemiresistive Nanobiosensor Using Multiwalled Carbon Nanotubes Embedded Electrospun SU-8 Nanofibers.

Matta Durga Prakash, Siva Rama Krishna Vanjari, Chandra Shekhar Sharma, Shiv Govind Singh

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2016. 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. Review
  2. Article
  3. Review
  4. Review
  5. Carbon Nanotube-Based Chemiresistive Sensors.Sensors (Basel, Switzerland) · 2017
    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

4 authors.

Matta Durga PrakashDepartment of Electrical Engineering, Indian Institute of Technology Hyderabad, Hyderabad 502205, India. ee10p005@iith.ac.in.
Siva Rama Krishna VanjariDepartment of Electrical Engineering, Indian Institute of Technology Hyderabad, Hyderabad 502205, India. svanjari@iith.ac.in.
Chandra Shekhar SharmaDepartment of Chemical Engineering, Indian Institute of Technology Hyderabad, Hyderabad 502205, India. cssharma@iith.ac.in.
Shiv Govind SinghDepartment of Electrical Engineering, Indian Institute of Technology Hyderabad, Hyderabad 502205, India. sgsingh@iith.ac.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper reports the synthesis and fabrication of aligned electrospun nanofibers derived out of multiwalled carbon nanotubes (MWCNTs) embedded SU-8 photoresist, which are targeted towards ultrasensitive biosensor applications. The ultrasensitivity (detection in the range of fg/mL) and the specificity of these biosensors were achieved by complementing the inherent advantages of MWCNTs such as high surface to volume ratio and excellent electrical and transduction properties with the ease of surface functionalization of SU-8. The electrospinning process was optimized to precisely align nanofibers in between two electrodes of a copper microelectrode array. MWCNTs not only enhance the conductivity of SU-8 nanofibers but also act as transduction elements. In this paper, MWCNTs were embedded way beyond the percolation threshold and the optimum percentage loading of MWCNTs for maximizing the conductivity of nanofibers was figured out experimentally. As a proof of concept, the detection of myoglobin, an important biomarker for on-set of Acute Myocardial Infection (AMI) has been demonstrated by functionalizing the nanofibers with anti-myoglobin antibodies and carrying out detection using a chemiresistive method. This simple and robust device yielded a detection limit of 6 fg/mL.

Indexed as

chemiresistiveelectrospinningMWCNTsnanobiosensorsSU-8ultra sensitivity

Identifiers

PMID27563905
PMCPMC5038632

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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.