Evidence map›Paper›PMID 37239826›Full record

ReviewInternational journal of molecular sciences2023

Electrochemical Chemically Based Sensors and Emerging Enzymatic Biosensors for Antidepressant Drug Detection: A Review.

Renato Caldevilla, Stephanie L Morais, Agostinho Cruz, Cristina Delerue-Matos, Fernando Moreira, João G Pacheco, Marlene Santos, Maria Fátima Barroso

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

3 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

8 authors at 3 institutions in 1 country.

Renato CaldevillaCISA|ESS, Centro de Investigação em Saúde e Ambiente, Escola Superior de Saúde, Polytechnic Institute of Porto, Rua Dr. António Bernardino de Almeida, 400, 4200-072 Porto, Portugal.ORCID 0009-0009-5272-4178
Stephanie L MoraisREQUIMTE-LAQV, School of Engineering, Polytechnic Institute of Porto, R. Dr. António Bernardino de Almeida 431, 4200-072 Porto, Portugal.
Agostinho CruzCISA|ESS, Centro de Investigação em Saúde e Ambiente, Escola Superior de Saúde, Polytechnic Institute of Porto, Rua Dr. António Bernardino de Almeida, 400, 4200-072 Porto, Portugal.ORCID 0000-0002-1157-8196
Cristina Delerue-MatosREQUIMTE-LAQV, School of Engineering, Polytechnic Institute of Porto, R. Dr. António Bernardino de Almeida 431, 4200-072 Porto, Portugal.ORCID 0000-0002-3924-776X
Fernando MoreiraCISA|ESS, Centro de Investigação em Saúde e Ambiente, Escola Superior de Saúde, Polytechnic Institute of Porto, Rua Dr. António Bernardino de Almeida, 400, 4200-072 Porto, Portugal.
João G PachecoREQUIMTE-LAQV, School of Engineering, Polytechnic Institute of Porto, R. Dr. António Bernardino de Almeida 431, 4200-072 Porto, Portugal.ORCID 0000-0001-8366-0490
Marlene SantosCISA|ESS, Centro de Investigação em Saúde e Ambiente, Escola Superior de Saúde, Polytechnic Institute of Porto, Rua Dr. António Bernardino de Almeida, 400, 4200-072 Porto, Portugal.ORCID 0000-0001-5020-5942
Maria Fátima BarrosoREQUIMTE-LAQV, School of Engineering, Polytechnic Institute of Porto, R. Dr. António Bernardino de Almeida 431, 4200-072 Porto, Portugal.ORCID 0000-0001-9011-5992
Rede de Química e Tecnologia · PTPolytechnic Institute of Porto · PTInstituto Português de Oncologia Francisco Gentil · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Major depressive disorder is a widespread condition with antidepressants as the main pharmacological treatment. However, some patients experience concerning adverse reactions or have an inadequate response to treatment. Analytical chromatographic techniques, among other techniques, are valuable tools for investigating medication complications, including those associated with antidepressants. Nevertheless, there is a growing need to address the limitations associated with these techniques. In recent years, electrochemical (bio)sensors have garnered significant attention due to their lower cost, portability, and precision. Electrochemical (bio)sensors can be used for various applications related to depression, such as monitoring the levels of antidepressants in biological and in environmental samples. They can provide accurate and rapid results, which could facilitate personalized treatment and improve patient outcomes. This state-of-the-art literature review aims to explore the latest advancements in the electrochemical detection of antidepressants. The review focuses on two types of electrochemical sensors: Chemically modified sensors and enzyme-based biosensors. The referred papers are carefully categorized according to their respective sensor type. The review examines the differences between the two sensing methods, highlights their unique features and limitations, and provides an in-depth analysis of each sensor.

Indexed as

Biosensing TechniquesMajor Depressive DisorderAntidepressive AgentsElectrochemical TechniquesHumansAntidepressive Agentsantidepressantschemically modified electrodeselectrochemical biosensorenzyme-based electrochemical biosensors

Identifiers

PMID37239826
PMCPMC10218392
OpenAlexW4376115859

What OpenQuestion holds

Textmetadata
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.