Evidence map›Paper›PMID 36671891›Full record

ReviewBiosensors2022

Recent Advances in Aptasensing Strategies for Monitoring Phycotoxins: Promising for Food Safety.

Hamed Zahraee, Atiyeh Mehrzad, Khalil Abnous, Chih-Hsin Chen, Zahra Khoshbin, Asma Verdian

Abstract readReview
In one paragraph

Review in Biosensors, 2022. 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
–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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

6 authors.

Hamed ZahraeeTargeted Drug Delivery Research Center, Pharmaceutical Technology Institute, Mashhad University of Medical Sciences, Mashhad 9177948564, Iran.ORCID 0000-0001-6575-985X
Atiyeh MehrzadDepartment of Food Safety and Quality Control, Research Institute of Food Science and Technology (RIFST), Mashhad 1314983651, Iran.
Khalil AbnousPharmaceutical Research Center, Pharmaceutical Technology Institute, Mashhad University of Medical Sciences, Mashhad 9177948564, Iran.
Chih-Hsin ChenDepartment of Chemistry, Tamkang University, New Taipei City 25137, Taiwan.
Zahra KhoshbinTargeted Drug Delivery Research Center, Pharmaceutical Technology Institute, Mashhad University of Medical Sciences, Mashhad 9177948564, Iran.ORCID 0000-0002-6939-2036
Asma VerdianDepartment of Food Safety and Quality Control, Research Institute of Food Science and Technology (RIFST), Mashhad 1314983651, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Phycotoxins or marine toxins cause massive harm to humans, livestock, and pets. Current strategies based on ordinary methods are long time-wise and require expert operators, and are not reliable for on-site and real-time use. Therefore, it is urgent to exploit new detection methods for marine toxins with high sensitivity and specificity, low detection limits, convenience, and high efficiency. Conversely, biosensors can distinguish poisons with less response time and higher selectivity than the common strategies. Aptamer-based biosensors (aptasensors) are potent for environmental monitoring, especially for on-site and real-time determination of marine toxins and freshwater microorganisms, and with a degree of superiority over other biosensors, making them worth considering. This article reviews the designed aptasensors based on the different strategies for detecting the various phycotoxins.

Indexed as

Aptamers, NucleotideBiosensing TechniquesFood SafetyFresh WaterHumansMarine ToxinsAptamers, NucleotideMarine Toxinsaptamerbiosensornanomaterialon-site detectionphycotoxinportable

Identifiers

PMID36671891
PMCPMC9856083

What Socratic 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 Socratic graph.