Evidence map›Paper›PMID 31581533›Full record

ReviewBiosensors2019

A Bottom-Up Approach for Developing Aptasensors for Abused Drugs: Biosensors in Forensics.

Eda Celikbas, Simge Balaban, Serap Evran, Hakan Coskunol, Suna Timur

Abstract 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 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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

5 authors.

Eda CelikbasDepartment of Biochemistry, Institute of Natural and Applied Sciences, Ege University, 35100 Bornova, Izmir, Turkey.
Simge BalabanDepartment of Biochemistry, Institute of Natural and Applied Sciences, Ege University, 35100 Bornova, Izmir, Turkey.
Serap EvranDepartment of Biochemistry, Institute of Natural and Applied Sciences, Ege University, 35100 Bornova, Izmir, Turkey.
Hakan CoskunolDepartment of Mental Health and Diseases, Faculty of Medicine, Ege University, 35100 Bornova, Izmir, Turkey.
Suna TimurDepartment of Biochemistry, Institute of Natural and Applied Sciences, Ege University, 35100 Bornova, Izmir, Turkey.

Funding

Republic of Turkey, Ministry of Development 2016K121190
6 · The paper itself

Abstract

Aptamer-based point-of-care (POC) diagnostics platforms may be of substantial benefit in forensic analysis as they provide rapid, sensitive, user-friendly, and selective analysis tools for detection. Aptasensors have not yet been adapted commercially. However, the significance of the applications of aptasensors in the literature exceeded their potential. Herein, in this review, a bottom-up approach is followed to describe the aptasensor development and application procedure, starting from the synthesis of the corresponding aptamer sequence for the selected analyte to creating a smart surface for the sensitive detection of the molecule of interest. Optical and electrochemical biosensing platforms, which are designed with aptamers as recognition molecules, detecting abused drugs are critically reviewed, and existing and possible applications of different designs are discussed. Several potential disciplines in which aptamer-based biosensing technology can be of greatest value, including forensic drug analysis and biological evidence, are then highlighted to encourage researchers to focus on developing aptasensors in these specific areas.

Indexed as

Biosensing TechniquesAptamers, NucleotideColorimetryElectrochemical TechniquesForensic SciencesIllicit DrugsPoint-of-Care SystemsSELEX Aptamer TechniqueSubstance Abuse DetectionAptamers, NucleotideIllicit Drugscustom-tailored aptamerselectrochemical biosensorsforensic sciencesoptical biosensorspoint-of-care (POC)

Identifiers

PMID31581533
PMCPMC6955935

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.