Evidence map›Paper›PMID 27548239›Full record

ArticleBiosensors2016

A Cytochrome P450 3A4 Biosensor Based on Generation 4.0 PAMAM Dendrimers for the Detection of Caffeine.

Michael Müller, Neha Agarwal, Jungtae Kim

Open access · goldAbstract read
In one paragraph

Article in Biosensors, 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
1.9field-weighted citation impact, top 16% of its field
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, 16 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Review
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

3 authors at 1 institution in 1 country.

Michael MüllerKIST Europe Forschungsgesellschaft mbH, Universität d. Saarlandes, Campus Geb. E7.1, Saarbrücken 66123, Germany. mueller@kist-europe.de.
Neha AgarwalKIST Europe Forschungsgesellschaft mbH, Universität d. Saarlandes, Campus Geb. E7.1, Saarbrücken 66123, Germany. n.agarwal@kist-europe.de.
Jungtae KimKIST Europe Forschungsgesellschaft mbH, Universität d. Saarlandes, Campus Geb. E7.1, Saarbrücken 66123, Germany. tais@kist-europe.de.
KIST Europe · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cytochromes P450 (CYP, P450) are a large family of heme-active-site proteins involved in many catalytic processes, including steroidogenesis. In humans, four primary enzymes are involved in the metabolism of almost all xenobiotics. Among these enzymes, CYP3A4 is responsible for the inactivation of the majority of used drugs which makes this enzyme an interesting target for many fields of research, especially pharmaceutical research. Since the late 1970s, attempts have been made to construct and develop electrochemical sensors for the determination of substrates. This paper is concerned with the establishment of such a CYP3A4-containing biosensor. The sensor was constructed by adsorption of alternating layers of sub-nanometer gold particle-modified PAMAM (poly-amido-amine) dendrimers of generation 4.0, along with the enzyme by a layer-by-layer assembly technique. Atomic force microscopy (AFM), quartz crystal microbalance (QCM), and Fourier-transformed infrared spectroscopy (FTIR) were employed to elucidate the sensor assembly. Additionally, the biosensor was tested by cyclic voltammetry using caffeine as a substrate.

Indexed as

CaffeineProtein MultimerizationBiosensing TechniquesCytochrome P-450 CYP3ADendrimersElectrochemistryMicroscopy, Atomic ForceNanocompositesCaffeineCYP3A4 protein, humanCytochrome P-450 CYP3ADendrimersPAMAM Starburstbiosensorcytochrome P450electrochemistryPAMAM dendrimers

Identifiers

PMID27548239
PMCPMC5039663
OpenAlexW2517132068

What OpenQuestion holds

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LicenceCC BY
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.