Evidence map›Paper›PMID 37512723›Full record

ReviewMicromachines2023

Recent Advances in Electrochemical Biosensors for Food Control.

Francesco Rizzotto, Majd Khalife, Yanxia Hou, Carole Chaix, Florence Lagarde, Natale Scaramozzino, Jasmina Vidic

Abstract readReview
In one paragraph

Review in Micromachines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Article
  6. Review
  7. Article
  8. 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

7 authors.

Francesco RizzottoUniversité Paris-Saclay, INRAE, AgroParisTech, Micalis Institute, 78350 Jouy en Josas, France.ORCID 0000-0001-9463-6226
Majd KhalifeUniversité Paris-Saclay, INRAE, AgroParisTech, Micalis Institute, 78350 Jouy en Josas, France.ORCID 0000-0002-5846-9755
Yanxia HouUniversity Grenoble Alpes, CEA, CNRS, IRIG-SYMMES, 38000 Grenoble, France.ORCID 0000-0002-2991-1030
Carole ChaixUniversity Lyon, CNRS, University Claude Bernard Lyon 1, Institute of Analytical Sciences, 5 Rue de la Doua, 69100 Villeurbanne, France.ORCID 0000-0003-4882-2364
Florence LagardeUniversity Lyon, CNRS, University Claude Bernard Lyon 1, Institute of Analytical Sciences, 5 Rue de la Doua, 69100 Villeurbanne, France.
Natale ScaramozzinoUniversity Grenoble Alpes, CNRS, LIPhy, 38000 Grenoble, France.ORCID 0000-0003-3180-2893
Jasmina VidicUniversité Paris-Saclay, INRAE, AgroParisTech, Micalis Institute, 78350 Jouy en Josas, France.ORCID 0000-0002-8549-8199

Funding

Agence Nationale de la Recherche ANR-21-CE21 SienaUniversity of Paris-Saclay Poc in labs N°2022-401 2626
6 · The paper itself

Abstract

The rapid and sensitive detection of food contaminants is becoming increasingly important for timely prevention and treatment of foodborne disease. In this review, we discuss recent developments of electrochemical biosensors as facile, rapid, sensitive, and user-friendly analytical devices and their applications in food safety analysis, owing to the analytical characteristics of electrochemical detection and to advances in the design and production of bioreceptors (antibodies, DNA, aptamers, peptides, molecular imprinted polymers, enzymes, bacteriophages, etc.). They can offer a low limit of detection required for food contaminants such as allergens, pesticides, antibiotic traces, toxins, bacteria, etc. We provide an overview of a broad range of electrochemical biosensing designs and consider future opportunities for this technology in food control.

Indexed as

aptasensordetectionelectrochemical sensorfood safetygenosensorimmunosensor

Identifiers

PMID37512723
PMCPMC10384134

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.