Evidence map›Paper›PMID 31450819›Full record

ReviewBiosensors2019

Overview of Optical and Electrochemical Alkaline Phosphatase (ALP) Biosensors: Recent Approaches in Cells Culture Techniques.

Thanih Balbaied, Eric Moore

Open access · goldAbstract readReview
In one paragraph

Review in Biosensors, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

21 citing papers in PubMed, 70 citations in OpenAlex.

  1. Article
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  4. Tuning probe permeabilityChemical science · 2025
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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 at 1 institution in 1 country.

Thanih BalbaiedUniversity College Cork, Sensing & Separation Group, School of Chemistry and life Science Interface, Tyndall National Institute, T12R5CP Cork, Ireland.
Eric MooreUniversity College Cork, Sensing & Separation Group, School of Chemistry and life Science Interface, Tyndall National Institute, T12R5CP Cork, Ireland. e.moore@ucc.ie.
University College Cork · IE

Funding

Ministry of Education - Kingdom of Saudi Arabi 000
6 · The paper itself

Abstract

Alkaline phosphatase (ALP), which catalyzes the dephosphorylation process of proteins, nucleic acids, and small molecules, can be found in a variety of tissues (intestine, liver, bone, kidney, and placenta) of almost all living organisms. This enzyme has been extensively used as a biomarker in enzyme immunoassays and molecular biology. ALP is also one of the most commonly assayed enzymes in routine clinical practice. Due to its close relation to a variety of pathological processes, ALP's abnormal level is an important diagnostic biomarker of many human diseases, such as liver dysfunction, bone diseases, kidney acute injury, and cancer. Therefore, the development of convenient and reliable assay methods for monitoring ALP activity/level is extremely important and valuable, not only for clinical diagnoses but also in the area of biomedical research. This paper comprehensively reviews the strategies of optical and electrochemical detection of ALP and discusses the electrochemical techniques that have been addressed to make them suitable for ALP analysis in cell culture.

Indexed as

Biosensing TechniquesCell Culture TechniquesAlkaline PhosphataseColorimetryElectrochemical TechniquesHeLa CellsHumansLab-On-A-Chip DevicesMCF-7 CellsNanostructuresOptical DevicesSpectrophotometry, InfraredSpectrum Analysis, RamanSurface Plasmon ResonanceAlkaline Phosphatasealkaline phosphatase (ALP)electrochemical biosensorsLab-on-chip technologymicroarrays technologynanomaterialsoptical biosensors

Identifiers

PMID31450819
PMCPMC6784369
OpenAlexW2969423323

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.