Evidence map›Paper›PMID 35175618›Full record

ArticleAdvances in experimental medicine and biology2022

Graphene for Nanobiosensors and Nanobiochips.

Mijeong Kang, Seunghun Lee

Abstract read
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In one paragraph

Article in Advances in experimental medicine and biology, 2022. 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

2 authors.

Mijeong KangDepartment of Cogno-Mechatronics Engineering, Pusan National University, Busan, South Korea. mkang@pusan.ac.kr.
Seunghun LeeDepartment of Physics, Pukyong National University, Busan, South Korea. seunghun@pknu.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Graphene family nanomaterials have interesting electronic structures which determine their electrical, optical, and mechanical properties. Especially, their unique chemical properties enable interactions with biological substances and chemical reagents, and the interactions have further an influence on the observable properties of the graphene family nanomaterials. Such aspects render graphene family nanomaterials versatile for various types of biosensing as a target recognition unit and a recognition-to-signal transduction unit. In this chapter, we look over the recent progress on the graphene-based biosensors, which is categorized in terms of (1) the role of graphene family nanomaterials (target recognition, signal transduction), (2) the sensing mechanisms and modes (electrochemical, electrical, fluorescent, Raman scattering), and (3) the formats of sensing devices (paper, lab-on-a-chip, wearable devices).

Indexed as

Biosensing TechniquesGraphiteNanostructuresWearable Electronic DevicesLab-On-A-Chip DevicesGraphiteBiosensorsGraphene family nanomaterialsMaterials propertiesMeasurement modesSensing devicesSensing mechanisms

Identifiers

What OpenQuestion holds

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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.