Evidence map›Paper›PMID 33562374›Full record

ReviewSensors (Basel, Switzerland)2021

An Overview of Optical and Electrochemical Sensors and Biosensors for Analysis of Antioxidants in Food during the Last 5 Years.

Maryam Nejadmansouri, Marjan Majdinasab, Gilvanda S Nunes, Jean Louis Marty

Open access · goldAbstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
4.1field-weighted citation impact, top 5% 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

24 citing papers in PubMed, 73 citations in OpenAlex.

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  15. Electrochemical Sensors for Detection of Phytomolecules: A Mechanistic Approach.Combinatorial chemistry & high throughput screening · 2024
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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

4 authors at 3 institutions in 3 countries.

Maryam NejadmansouriDepartment of Food Science & Technology, School of Agriculture, Shiraz University, Shiraz 71441-65186, Iran.
Marjan MajdinasabDepartment of Food Science & Technology, School of Agriculture, Shiraz University, Shiraz 71441-65186, Iran.
Gilvanda S NunesPesticide Residue Analysis Center, Federal University of Maranhao, 65080-040 Sao Luis, Brazil.
Jean Louis MartyFaculty of Sciences, University of Perpignan Via Domitia, 52 Avenue Paul Alduy, 66860 Perpignan CEDEX 9, France.
Shiraz University · IRUniversidade Federal do Maranhão · BRUniversité de Perpignan · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antioxidants are a group of healthy substances which are useful to human health because of their antihistaminic, anticancer, anti-inflammatory activity and inhibitory effect on the formation and the actions of reactive oxygen species. Generally, they are phenolic complexes present in plant-derived foods. Due to the valuable nutritional role of these mixtures, analysis and determining their amount in food is of particular importance. In recent years, many attempts have been made to supply uncomplicated, rapid, economical and user-friendly analytical approaches for the on-site detection and antioxidant capacity (AOC) determination of food antioxidants. In this regards, sensors and biosensors are regarded as favorable tools for antioxidant analysis because of their special features like high sensitivity, rapid detection time, ease of use, and ease of miniaturization. In this review, current five-year progresses in different types of optical and electrochemical sensors/biosensors for the analysis of antioxidants in foods are discussed and evaluated well. Moreover, advantages, limitations, and the potential for practical applications of each type of sensors/biosensors have been discussed. This review aims to prove how sensors/biosensors represent reliable alternatives to conventional methods for antioxidant analysis.

Indexed as

AntioxidantsBiosensing TechniquesFoodHumansPhenolsAntioxidantsPhenolsantioxidantbiosensorcellDNAenzymenanomaterialphenolic compoundssensors

Identifiers

PMID33562374
PMCPMC7915219
OpenAlexW3126304453

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.